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Antonio Torralba 0001

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affiliation: MIT, Computer Science and Artificial Intelligence Laboratory, Cambridge, MA, USA

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2025
[c238]
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Devin Murphy, Yichen Li, Crystal Elaine Owens, Layla Stanton, Paul Pu Liang, Yiyue Luo, Antonio Torralba, Wojciech Matusik:
Fits like a Flex-Glove: Automatic Design of Personalized FPCB-Based Tactile Sensing Gloves. CHI Extended Abstracts 2025: 280:1-280:8
[i173]
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  - journals/corr/abs-2501-05707
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Vighnesh Subramaniam, Yilun Du, Joshua B. Tenenbaum, Antonio Torralba, Shuang Li, Igor Mordatch:
Multiagent Finetuning: Self Improvement with Diverse Reasoning Chains. CoRR abs/2501.05707 (2025)
[i172]
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  - journals/corr/abs-2503-06349
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Devin Murphy, Yichen Li, Crystal Elaine Owens, Layla Stanton, Young Joong Lee, Paul Pu Liang, Yiyue Luo, Antonio Torralba, Wojciech Matusik:
Fits like a Flex-Glove: Automatic Design of Personalized FPCB-Based Tactile Sensing Gloves. CoRR abs/2503.06349 (2025)
2024
[j44]
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  - journals/ral/MaaloufJJCVWTR24
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Alaa Maalouf, Ninad Jadhav, Krishna Murthy Jatavallabhula, Makram Chahine, Daniel M. Vogt, Robert J. Wood, Antonio Torralba, Daniela Rus:
Follow Anything: Open-Set Detection, Tracking, and Following in Real-Time. IEEE Robotics Autom. Lett. 9(4): 3283-3290 (2024)
[c237]
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Joanna Materzynska, Josef Sivic, Eli Shechtman, Antonio Torralba, Richard Zhang, Bryan C. Russell:
NewMove: Customizing Text-to-Video Models with Novel Motions. ACCV (5) 2024: 113-130
[c236]
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Chuanyang Jin, Yutong Wu, Jing Cao, Jiannan Xiang, Yen-Ling Kuo, Zhiting Hu, Tomer D. Ullman, Antonio Torralba, Joshua B. Tenenbaum, Tianmin Shu:
MMToM-QA: Multimodal Theory of Mind Question Answering. ACL (1) 2024: 16077-16102
[c235]
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  - conf/cvpr/Ling00FK24
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Huan Ling, Seung Wook Kim, Antonio Torralba, Sanja Fidler, Karsten Kreis:
Align Your Gaussians: Text-to-4D with Dynamic 3D Gaussians and Composed Diffusion Models. CVPR 2024: 8576-8588
[c234]
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Pratyusha Sharma, Tamar Rott Shaham, Manel Baradad, Adrián Rodríuez-Muñoz, Shivam Duggal, Phillip Isola, Antonio Torralba, Stephanie Fu:
A Vision Check-up for Language Models. CVPR 2024: 14410-14419
[c233]
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  - conf/eccv/RodriguezMunozWT24
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Adrián Rodríguez-Muñoz, Tongzhou Wang, Antonio Torralba:
Characterizing Model Robustness via Natural Input Gradients. ECCV (76) 2024: 161-178
[c232]
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  - conf/eccv/GandikotaMZTB24
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Rohit Gandikota, Joanna Materzynska, Tingrui Zhou, Antonio Torralba, David Bau:
Concept Sliders: LoRA Adaptors for Precise Control in Diffusion Models. ECCV (40) 2024: 172-188
[c231]
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Kevin Xie, Jonathan Lorraine, Tianshi Cao, Jun Gao, James Lucas, Antonio Torralba, Sanja Fidler, Xiaohui Zeng:
LATTE3D: Large-scale Amortized Text-To-Enhanced3D Synthesis. ECCV (77) 2024: 305-322
[c230]
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Yichen Li, Yilun Du, Chao Liu, Chao Liu, Francis Williams, Michael Foshey, Benjamin Eckart, Jan Kautz, Joshua B. Tenenbaum, Antonio Torralba, Wojciech Matusik:
Learning to Jointly Understand Visual and Tactile Signals. ICLR 2024
[c229]
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Yilun Du, Shuang Li, Antonio Torralba, Joshua B. Tenenbaum, Igor Mordatch:
Improving Factuality and Reasoning in Language Models through Multiagent Debate. ICML 2024
[c228]
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  - conf/icml/ShahamSWRHA024
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Tamar Rott Shaham, Sarah Schwettmann, Franklin Wang, Achyuta Rajaram, Evan Hernandez, Jacob Andreas, Antonio Torralba:
A Multimodal Automated Interpretability Agent. ICML 2024
[c227]
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George Tang, Krishna Murthy Jatavallabhula, Antonio Torralba:
Efficient 3D Instance Mapping and Localization with Neural Fields. ICRA 2024: 1818-1824
[c226]
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  - conf/icra/GuKMJSARPECGMTT24
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Qiao Gu, Ali Kuwajerwala, Sacha Morin, Krishna Murthy Jatavallabhula, Bipasha Sen, Aditya Agarwal, Corban Rivera, William Paul, Kirsty Ellis, Rama Chellappa, Chuang Gan, Celso Miguel de Melo, Joshua B. Tenenbaum, Antonio Torralba, Florian Shkurti, Liam Paull:
ConceptGraphs: Open-Vocabulary 3D Scene Graphs for Perception and Planning. ICRA 2024: 5021-5028
[c225]
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  - conf/iros/YingJAT0S24
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Lance Ying, Kunal Jha, Shivam Aarya, Joshua B. Tenenbaum, Antonio Torralba, Tianmin Shu:
GOMA: Proactive Embodied Cooperative Communication via Goal-Oriented Mental Alignment. IROS 2024: 7099-7106
[c224]
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Jiawei Ren, Cheng Xie, Ashkan Mirzaei, Hanxue Liang, Xiaohui Zeng, Karsten Kreis, Ziwei Liu, Antonio Torralba, Sanja Fidler, Seung Wook Kim, Huan Ling:
L4GM: Large 4D Gaussian Reconstruction Model. NeurIPS 2024
[i171]
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  - journals/corr/abs-2401-01862
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Pratyusha Sharma, Tamar Rott Shaham, Manel Baradad, Stephanie Fu, Adrián Rodríguez-Muñoz, Shivam Duggal, Phillip Isola, Antonio Torralba:
A Vision Check-up for Language Models. CoRR abs/2401.01862 (2024)
[i170]
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  - journals/corr/abs-2401-05236
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Tianhang Cheng, Wei-Chiu Ma, Kaiyu Guan, Antonio Torralba, Shenlong Wang:
Structure from Duplicates: Neural Inverse Graphics from a Pile of Objects. CoRR abs/2401.05236 (2024)
[i169]
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  - journals/corr/abs-2401-08743
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Chuanyang Jin, Yutong Wu, Jing Cao, Jiannan Xiang, Yen-Ling Kuo, Zhiting Hu, Tomer D. Ullman, Antonio Torralba, Joshua B. Tenenbaum, Tianmin Shu:
MMToM-QA: Multimodal Theory of Mind Question Answering. CoRR abs/2401.08743 (2024)
[i168]
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  - journals/corr/abs-2403-11075
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Lance Ying, Kunal Jha, Shivam Aarya, Joshua B. Tenenbaum, Antonio Torralba, Tianmin Shu:
GOMA: Proactive Embodied Cooperative Communication via Goal-Oriented Mental Alignment. CoRR abs/2403.11075 (2024)
[i167]
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  - journals/corr/abs-2403-15385
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Kevin Xie, Jonathan Lorraine, Tianshi Cao, Jun Gao, James Lucas, Antonio Torralba, Sanja Fidler, Xiaohui Zeng:
LATTE3D: Large-scale Amortized Text-To-Enhanced3D Synthesis. CoRR abs/2403.15385 (2024)
[i166]
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  - journals/corr/abs-2403-19797
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George Tang, Krishna Murthy Jatavallabhula, Antonio Torralba:
Efficient 3D Instance Mapping and Localization with Neural Fields. CoRR abs/2403.19797 (2024)
[i165]
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  - journals/corr/abs-2404-14349
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Achyuta Rajaram, Neil Chowdhury, Antonio Torralba, Jacob Andreas, Sarah Schwettmann:
Automatic Discovery of Visual Circuits. CoRR abs/2404.14349 (2024)
[i164]
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  - journals/corr/abs-2404-14394
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Tamar Rott Shaham, Sarah Schwettmann, Franklin Wang, Achyuta Rajaram, Evan Hernandez, Jacob Andreas, Antonio Torralba:
A Multimodal Automated Interpretability Agent. CoRR abs/2404.14394 (2024)
[i163]
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  - journals/corr/abs-2406-10324
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Jiawei Ren, Kevin Xie, Ashkan Mirzaei, Hanxue Liang, Xiaohui Zeng, Karsten Kreis, Ziwei Liu, Antonio Torralba, Sanja Fidler, Seung Wook Kim, Huan Ling:
L4GM: Large 4D Gaussian Reconstruction Model. CoRR abs/2406.10324 (2024)
[i162]
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  - journals/corr/abs-2408-02687
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Zhenfang Chen, Shilong Dong, Kexin Yi, Yunzhu Li, Mingyu Ding, Antonio Torralba, Joshua B. Tenenbaum, Chuang Gan:
Compositional Physical Reasoning of Objects and Events from Videos. CoRR abs/2408.02687 (2024)
[i161]
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  - journals/corr/abs-2409-20139
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Adrián Rodríguez-Muñoz, Tongzhou Wang, Antonio Torralba:
Characterizing Model Robustness via Natural Input Gradients. CoRR abs/2409.20139 (2024)
[i160]
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  - journals/corr/abs-2410-21228
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Reece Shuttleworth, Jacob Andreas, Antonio Torralba, Pratyusha Sharma:
LoRA vs Full Fine-tuning: An Illusion of Equivalence. CoRR abs/2410.21228 (2024)
[i159]
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  - journals/corr/abs-2411-02393
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Shivam Duggal, Phillip Isola, Antonio Torralba, William T. Freeman:
Adaptive Length Image Tokenization via Recurrent Allocation. CoRR abs/2411.02393 (2024)
[i158]
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  - journals/corr/abs-2411-17673
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Yael Vinker, Tamar Rott Shaham, Kristine Zheng, Alex Zhao, Judith E. Fan, Antonio Torralba:
SketchAgent: Language-Driven Sequential Sketch Generation. CoRR abs/2411.17673 (2024)
[i157]
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  - journals/corr/abs-2412-00176
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Hui Ren, Joanna Materzynska, Rohit Gandikota, David Bau, Antonio Torralba:
Art-Free Generative Models: Art Creation Without Graphic Art Knowledge. CoRR abs/2412.00176 (2024)
[i156]
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  - journals/corr/abs-2412-03526
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Hanxue Liang, Jiawei Ren, Ashkan Mirzaei, Antonio Torralba, Ziwei Liu, Igor Gilitschenski, Sanja Fidler, Cengiz Öztireli, Huan Ling, Zan Gojcic, Jiahui Huang:
Feed-Forward Bullet-Time Reconstruction of Dynamic Scenes from Monocular Videos. CoRR abs/2412.03526 (2024)
2023
[j43]
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  - journals/imwut/ChenHSLTM23
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Wenqiang Chen, Yexin Hu, Wei Song, Yingcheng Liu, Antonio Torralba, Wojciech Matusik:
CAvatar: Real-time Human Activity Mesh Reconstruction via Tactile Carpets. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 7(4): 151:1-151:24 (2023)
[j42]
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Ethan Weber, Dim P. Papadopoulos, Àgata Lapedriza, Ferda Ofli, Muhammad Imran, Antonio Torralba:
Incidents1M: A Large-Scale Dataset of Images With Natural Disasters, Damage, and Incidents. IEEE Trans. Pattern Anal. Mach. Intell. 45(4): 4768-4781 (2023)
[c223]
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  - conf/cvpr/XueTTYLT23
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Haotian Xue, Antonio Torralba, Joshua B. Tenenbaum, Daniel Yamins, Yunzhu Li, Hsiao-Yu Tung:
3D-IntPhys: Towards More Generalized 3D-grounded Visual Intuitive Physics under Challenging Scenes. CVPR Workshops 2023: 3625-3635
[c222]
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George Cazenavette, Tongzhou Wang, Antonio Torralba, Alexei A. Efros, Jun-Yan Zhu:
Generalizing Dataset Distillation via Deep Generative Prior. CVPR 2023: 3739-3748
[c221]
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Seung Wook Kim, Bradley Brown, Kangxue Yin, Karsten Kreis, Katja Schwarz, Daiqing Li, Robin Rombach, Antonio Torralba, Sanja Fidler:
NeuralField-LDM: Scene Generation with Hierarchical Latent Diffusion Models. CVPR 2023: 8496-8506
[c220]
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  - conf/cvpr/SuQS0G23
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Kun Su, Kaizhi Qian, Eli Shlizerman, Antonio Torralba, Chuang Gan:
Physics-Driven Diffusion Models for Impact Sound Synthesis from Videos. CVPR 2023: 9749-9759
[c219]
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  - conf/cvpr/00050CL0ZW23
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Zhenyu Wang, Yali Li, Xi Chen, Ser-Nam Lim, Antonio Torralba, Hengshuang Zhao, Shengjin Wang:
Detecting Everything in the Open World: Towards Universal Object Detection. CVPR 2023: 11433-11443
[c218]
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  - conf/iccv/ChenLL0Z23
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Xi Chen, Shuang Li, Ser-Nam Lim, Antonio Torralba, Hengshuang Zhao:
Open-vocabulary Panoptic Segmentation with Embedding Modulation. ICCV 2023: 1141-1150
[c217]
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  - conf/iccv/0010DLT023
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Nan Liu, Yilun Du, Shuang Li, Joshua B. Tenenbaum, Antonio Torralba:
Unsupervised Compositional Concepts Discovery with Text-to-Image Generative Models. ICCV 2023: 2085-2095
[c216]
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  - conf/iccv/ZhouLSZ0TL23
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Yifei Zhou, Zilu Li, Abhinav Shrivastava, Hengshuang Zhao, Antonio Torralba, Tai-Peng Tian, Ser-Nam Lim:
BT²: Backward-compatible Training with Basis Transformation. ICCV 2023: 11195-11204
[c215]
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Daiqing Li, Huan Ling, Amlan Kar, David Acuna, Seung Wook Kim, Karsten Kreis, Antonio Torralba, Sanja Fidler:
DreamTeacher: Pretraining Image Backbones with Deep Generative Models. ICCV 2023: 16652-16662
[c214]
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  - conf/iccvw/SchwettmannCKB023
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Sarah Schwettmann, Neil Chowdhury, Samuel Klein, David Bau, Antonio Torralba:
Multimodal Neurons in Pretrained Text-Only Transformers. ICCV (Workshops) 2023: 2854-2859
[c213]
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Shuang Li, Yilun Du, Joshua B. Tenenbaum, Antonio Torralba, Igor Mordatch:
Composing Ensembles of Pre-trained Models via Iterative Consensus. ICLR 2023
[c212]
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Zhou Xian, Bo Zhu, Zhenjia Xu, Hsiao-Yu Tung, Antonio Torralba, Katerina Fragkiadaki, Chuang Gan:
FluidLab: A Differentiable Environment for Benchmarking Complex Fluid Manipulation. ICLR 2023
[c211]
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Tongzhou Wang, Antonio Torralba, Phillip Isola, Amy Zhang:
Optimal Goal-Reaching Reinforcement Learning via Quasimetric Learning. ICML 2023: 36411-36430
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Xavier Puig, Tianmin Shu, Joshua B. Tenenbaum, Antonio Torralba:
NOPA: Neurally-guided Online Probabilistic Assistance for Building Socially Intelligent Home Assistants. ICRA 2023: 7628-7634
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Tianhang Cheng, Wei-Chiu Ma, Kaiyu Guan, Antonio Torralba, Shenlong Wang:
Structure from Duplicates: Neural Inverse Graphics from a Pile of Objects. NeurIPS 2023
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Sarah Schwettmann, Tamar Rott Shaham, Joanna Materzynska, Neil Chowdhury, Shuang Li, Jacob Andreas, David Bau, Antonio Torralba:
FIND: A Function Description Benchmark for Evaluating Interpretability Methods. NeurIPS 2023
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Haotian Xue, Antonio Torralba, Josh Tenenbaum, Dan Yamins, Yunzhu Li, Hsiao-Yu Tung:
3D-IntPhys: Towards More Generalized 3D-grounded Visual Intuitive Physics under Challenging Scenes. NeurIPS 2023
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Krishna Murthy Jatavallabhula, Alihusein Kuwajerwala, Qiao Gu, Mohd. Omama, Ganesh Iyer, Soroush Saryazdi, Tao Chen, Alaa Maalouf, Shuang Li, Nikhil Varma Keetha, Ayush Tewari, Joshua B. Tenenbaum, Celso Miguel de Melo, K. Madhava Krishna, Liam Paull, Florian Shkurti, Antonio Torralba:
ConceptFusion: Open-set multimodal 3D mapping. Robotics: Science and Systems 2023
[i155]
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Xavier Puig, Tianmin Shu, Joshua B. Tenenbaum, Antonio Torralba:
NOPA: Neurally-guided Online Probabilistic Assistance for Building Socially Intelligent Home Assistants. CoRR abs/2301.05223 (2023)
[i154]
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Ching-Yao Chuang, Varun Jampani, Yuanzhen Li, Antonio Torralba, Stefanie Jegelka:
Debiasing Vision-Language Models via Biased Prompts. CoRR abs/2302.00070 (2023)
[i153]
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Krishna Murthy Jatavallabhula, Alihusein Kuwajerwala, Qiao Gu, Mohd. Omama, Tao Chen, Shuang Li, Ganesh Iyer, Soroush Saryazdi, Nikhil Varma Keetha, Ayush Tewari, Joshua B. Tenenbaum, Celso Miguel de Melo, K. Madhava Krishna, Liam Paull, Florian Shkurti, Antonio Torralba:
ConceptFusion: Open-set Multimodal 3D Mapping. CoRR abs/2302.07241 (2023)
[i152]
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Zhou Xian, Bo Zhu, Zhenjia Xu, Hsiao-Yu Tung, Antonio Torralba, Katerina Fragkiadaki, Chuang Gan:
FluidLab: A Differentiable Environment for Benchmarking Complex Fluid Manipulation. CoRR abs/2303.02346 (2023)
[i151]
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Xi Chen, Shuang Li, Ser-Nam Lim, Antonio Torralba, Hengshuang Zhao:
Open-vocabulary Panoptic Segmentation with Embedding Modulation. CoRR abs/2303.11324 (2023)
[i150]
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Zhenyu Wang, Yali Li, Xi Chen, Ser-Nam Lim, Antonio Torralba, Hengshuang Zhao, Shengjin Wang:
Detecting Everything in the Open World: Towards Universal Object Detection. CoRR abs/2303.11749 (2023)
[i149]
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Kun Su, Kaizhi Qian, Eli Shlizerman, Antonio Torralba, Chuang Gan:
Physics-Driven Diffusion Models for Impact Sound Synthesis from Videos. CoRR abs/2303.16897 (2023)
[i148]
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Tongzhou Wang, Antonio Torralba, Phillip Isola, Amy Zhang:
Optimal Goal-Reaching Reinforcement Learning via Quasimetric Learning. CoRR abs/2304.01203 (2023)
[i147]
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Seung Wook Kim, Bradley Brown, Kangxue Yin, Karsten Kreis, Katja Schwarz, Daiqing Li, Robin Rombach, Antonio Torralba, Sanja Fidler:
NeuralField-LDM: Scene Generation with Hierarchical Latent Diffusion Models. CoRR abs/2304.09787 (2023)
[i146]
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Haotian Xue, Antonio Torralba, Joshua B. Tenenbaum, Daniel L. K. Yamins, Yunzhu Li, Hsiao-Yu Tung:
3D-IntPhys: Towards More Generalized 3D-grounded Visual Intuitive Physics under Challenging Scenes. CoRR abs/2304.11470 (2023)
[i145]
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George Cazenavette, Tongzhou Wang, Antonio Torralba, Alexei A. Efros, Jun-Yan Zhu:
Generalizing Dataset Distillation via Deep Generative Prior. CoRR abs/2305.01649 (2023)
[i144]
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Yilun Du, Shuang Li, Antonio Torralba, Joshua B. Tenenbaum, Igor Mordatch:
Improving Factuality and Reasoning in Language Models through Multiagent Debate. CoRR abs/2305.14325 (2023)
[i143]
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Nan Liu, Yilun Du, Shuang Li, Joshua B. Tenenbaum, Antonio Torralba:
Unsupervised Compositional Concepts Discovery with Text-to-Image Generative Models. CoRR abs/2306.05357 (2023)
[i142]
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Manel Baradad, Yuanzhen Li, Forrester Cole, Michael Rubinstein, Antonio Torralba, William T. Freeman, Varun Jampani:
Background Prompting for Improved Object Depth. CoRR abs/2306.05428 (2023)
[i141]
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Daiqing Li, Huan Ling, Amlan Kar, David Acuna, Seung Wook Kim, Karsten Kreis, Antonio Torralba, Sanja Fidler:
DreamTeacher: Pretraining Image Backbones with Deep Generative Models. CoRR abs/2307.07487 (2023)
[i140]
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Sarah Schwettmann, Neil Chowdhury, Antonio Torralba:
Multimodal Neurons in Pretrained Text-Only Transformers. CoRR abs/2308.01544 (2023)
[i139]
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Alaa Maalouf, Ninad Jadhav, Krishna Murthy Jatavallabhula, Makram Chahine, Daniel M. Vogt, Robert J. Wood, Antonio Torralba, Daniela Rus:
Follow Anything: Open-set detection, tracking, and following in real-time. CoRR abs/2308.05737 (2023)
[i138]
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Sarah Schwettmann, Tamar Rott Shaham, Joanna Materzynska, Neil Chowdhury, Shuang Li, Jacob Andreas, David Bau, Antonio Torralba:
A Function Interpretation Benchmark for Evaluating Interpretability Methods. CoRR abs/2309.03886 (2023)
[i137]
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  - journals/corr/abs-2309-16650
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Qiao Gu, Alihusein Kuwajerwala, Sacha Morin, Krishna Murthy Jatavallabhula, Bipasha Sen, Aditya Agarwal, Corban Rivera, William Paul, Kirsty Ellis, Rama Chellappa, Chuang Gan, Celso Miguel de Melo, Joshua B. Tenenbaum, Antonio Torralba, Florian Shkurti, Liam Paull:
ConceptGraphs: Open-Vocabulary 3D Scene Graphs for Perception and Planning. CoRR abs/2309.16650 (2023)
[i136]
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Rohit Gandikota, Joanna Materzynska, Tingrui Zhou, Antonio Torralba, David Bau:
Concept Sliders: LoRA Adaptors for Precise Control in Diffusion Models. CoRR abs/2311.12092 (2023)
[i135]
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Joanna Materzynska, Josef Sivic, Eli Shechtman, Antonio Torralba, Richard Zhang, Bryan C. Russell:
Customizing Motion in Text-to-Video Diffusion Models. CoRR abs/2312.04966 (2023)
[i134]
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Huan Ling, Seung Wook Kim, Antonio Torralba, Sanja Fidler, Karsten Kreis:
Align Your Gaussians: Text-to-4D with Dynamic 3D Gaussians and Composed Diffusion Models. CoRR abs/2312.13763 (2023)
2022
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Pratyusha Sharma, Antonio Torralba, Jacob Andreas:
Skill Induction and Planning with Latent Language. ACL (1) 2022: 1713-1726
[c204]
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Yining Hong, Kaichun Mo, Li Yi, Leonidas J. Guibas, Antonio Torralba, Joshua B. Tenenbaum, Chuang Gan:
Fixing Malfunctional Objects With Learned Physical Simulation and Functional Prediction. CVPR 2022: 1403-1413
[c203]
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George Cazenavette, Tongzhou Wang, Antonio Torralba, Alexei A. Efros, Jun-Yan Zhu:
Wearable ImageNet: Synthesizing Tileable Textures via Dataset Distillation. CVPR Workshops 2022: 2277-2281
[c202]
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George Cazenavette, Tongzhou Wang, Antonio Torralba, Alexei A. Efros, Jun-Yan Zhu:
Dataset Distillation by Matching Training Trajectories. CVPR Workshops 2022: 4749-4758
[c201]
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Chuang Gan, Yi Gu, Siyuan Zhou, Jeremy Schwartz, Seth Alter, James Traer, Dan Gutfreund, Joshua B. Tenenbaum, Josh H. McDermott, Antonio Torralba:
Finding Fallen Objects Via Asynchronous Audio-Visual Integration. CVPR 2022: 10513-10523
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Seung Wook Kim, Karsten Kreis, Daiqing Li, Antonio Torralba, Sanja Fidler:
Polymorphic-GAN: Generating Aligned Samples across Multiple Domains with Learned Morph Maps. CVPR 2022: 10620-10630
[c199]
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George Cazenavette, Tongzhou Wang, Antonio Torralba, Alexei A. Efros, Jun-Yan Zhu:
Dataset Distillation by Matching Training Trajectories. CVPR 2022: 10708-10717
[c198]
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William S. Peebles, Jun-Yan Zhu, Richard Zhang, Antonio Torralba, Alexei A. Efros, Eli Shechtman:
GAN-Supervised Dense Visual Alignment. CVPR 2022: 13460-13471
[c197]
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Wei-Chiu Ma, Anqi Joyce Yang, Shenlong Wang, Raquel Urtasun, Antonio Torralba:
Virtual Correspondence: Humans as a Cue for Extreme-View Geometry. CVPR 2022: 15903-15913
[c196]
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Joanna Materzynska, Antonio Torralba, David Bau:
Disentangling visual and written concepts in CLIP. CVPR 2022: 16389-16398
[c195]
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  - conf/cvpr/PapadopoulosMCH22
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Dim P. Papadopoulos, Enrique Mora, Nadiia Chepurko, Kuan Wei Huang, Ferda Ofli, Antonio Torralba:
Learning Program Representations for Food Images and Cooking Recipes. CVPR 2022: 16538-16548
[c194]
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Ching-Yao Chuang, R. Devon Hjelm, Xin Wang, Vibhav Vineet, Neel Joshi, Antonio Torralba, Stefanie Jegelka, Yale Song:
Robust Contrastive Learning against Noisy Views. CVPR 2022: 16649-16660
[c193]
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Kristen Grauman, Andrew Westbury, Eugene Byrne, Zachary Chavis, Antonino Furnari, Rohit Girdhar, Jackson Hamburger, Hao Jiang, Miao Liu, Xingyu Liu, Miguel Martin, Tushar Nagarajan, Ilija Radosavovic, Santhosh Kumar Ramakrishnan, Fiona Ryan, Jayant Sharma, Michael Wray, Mengmeng Xu, Eric Zhongcong Xu, Chen Zhao, Siddhant Bansal, Dhruv Batra, Vincent Cartillier, Sean Crane, Tien Do, Morrie Doulaty, Akshay Erapalli, Christoph Feichtenhofer, Adriano Fragomeni, Qichen Fu, Abrham Gebreselasie, Cristina González, James Hillis, Xuhua Huang, Yifei Huang, Wenqi Jia, Weslie Khoo, Jáchym Kolár, Satwik Kottur, Anurag Kumar, Federico Landini, Chao Li, Yanghao Li, Zhenqiang Li, Karttikeya Mangalam, Raghava Modhugu, Jonathan Munro, Tullie Murrell, Takumi Nishiyasu, Will Price, Paola Ruiz Puentes, Merey Ramazanova, Leda Sari, Kiran Somasundaram, Audrey Southerland, Yusuke Sugano, Ruijie Tao, Minh Vo, Yuchen Wang, Xindi Wu, Takuma Yagi, Ziwei Zhao, Yunyi Zhu, Pablo Arbeláez, David Crandall, Dima Damen, Giovanni Maria Farinella, Christian Fuegen, Bernard Ghanem, Vamsi Krishna Ithapu, C. V. Jawahar, Hanbyul Joo, Kris Kitani, Haizhou Li, Richard A. Newcombe, Aude Oliva, Hyun Soo Park, James M. Rehg, Yoichi Sato, Jianbo Shi, Mike Zheng Shou, Antonio Torralba, Lorenzo Torresani, Mingfei Yan, Jitendra Malik:
Ego4D: Around the World in 3, 000 Hours of Egocentric Video. CVPR 2022: 18973-18990
[c192]
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Daiqing Li, Huan Ling, Seung Wook Kim, Karsten Kreis, Sanja Fidler, Antonio Torralba:
BigDatasetGAN: Synthesizing ImageNet with Pixel-wise Annotations. CVPR 2022: 21298-21308
[c191]
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Jingwei Ma, Lucy Chai, Minyoung Huh, Tongzhou Wang, Ser-Nam Lim, Phillip Isola, Antonio Torralba:
Totems: Physical Objects for Verifying Visual Integrity. ECCV (14) 2022: 164-180
[c190]
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Xiaogang Xu, Hengshuang Zhao, Vibhav Vineet, Ser-Nam Lim, Antonio Torralba:
MTFormer: Multi-task Learning via Transformer and Cross-Task Reasoning. ECCV (27) 2022: 304-321
[c189]
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Nan Liu, Shuang Li, Yilun Du, Antonio Torralba, Joshua B. Tenenbaum:
Compositional Visual Generation with Composable Diffusion Models. ECCV (17) 2022: 423-439
[c188]
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Zhenfang Chen, Kexin Yi, Yunzhu Li, Mingyu Ding, Antonio Torralba, Joshua B. Tenenbaum, Chuang Gan:
ComPhy: Compositional Physical Reasoning of Objects and Events from Videos. ICLR 2022
[c187]
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Evan Hernandez, Sarah Schwettmann, David Bau, Teona Bagashvili, Antonio Torralba, Jacob Andreas:
Natural Language Descriptions of Deep Visual Features. ICLR 2022
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Tongzhou Wang, Simon S. Du, Antonio Torralba, Phillip Isola, Amy Zhang, Yuandong Tian:
Denoised MDPs: Learning World Models Better Than the World Itself. ICML 2022: 22591-22612
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Chuang Gan, Siyuan Zhou, Jeremy Schwartz, Seth Alter, Abhishek Bhandwaldar, Dan Gutfreund, Daniel L. K. Yamins, James J. DiCarlo, Josh H. McDermott, Antonio Torralba, Joshua B. Tenenbaum:
The ThreeDWorld Transport Challenge: A Visually Guided Task-and-Motion Planning Benchmark Towards Physically Realistic Embodied AI. ICRA 2022: 8847-8854
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Chuang Gan, Xiaoyu Chen, Phillip Isola, Antonio Torralba, Joshua B. Tenenbaum:
Noisy Agents: Self-supervised Exploration by Predicting Auditory Events. IROS 2022: 9259-9265
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Manel Baradad, Chun-Fu Richard Chen, Jonas Wulff, Tongzhou Wang, Rogério Feris, Antonio Torralba, Phillip Isola:
Procedural Image Programs for Representation Learning. NeurIPS 2022
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Joseph DelPreto, Chao Liu, Yiyue Luo, Michael Foshey, Yunzhu Li, Antonio Torralba, Wojciech Matusik, Daniela Rus:
ActionSense: A Multimodal Dataset and Recording Framework for Human Activities Using Wearable Sensors in a Kitchen Environment. NeurIPS 2022
[c181]
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Shuang Li, Xavier Puig, Chris Paxton, Yilun Du, Clinton Wang, Linxi Fan, Tao Chen, De-An Huang, Ekin Akyürek, Anima Anandkumar, Jacob Andreas, Igor Mordatch, Antonio Torralba, Yuke Zhu:
Pre-Trained Language Models for Interactive Decision-Making. NeurIPS 2022
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Andrew F. Luo, Yilun Du, Michael J. Tarr, Josh Tenenbaum, Antonio Torralba, Chuang Gan:
Learning Neural Acoustic Fields. NeurIPS 2022
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Pratyusha Sharma, Balakumar Sundaralingam, Valts Blukis, Chris Paxton, Tucker Hermans, Antonio Torralba, Jacob Andreas, Dieter Fox:
Correcting Robot Plans with Natural Language Feedback. Robotics: Science and Systems 2022
[i133]
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Ethan Weber, Dim P. Papadopoulos, Àgata Lapedriza, Ferda Ofli, Muhammad Imran, Antonio Torralba:
Incidents1M: a large-scale dataset of images with natural disasters, damage, and incidents. CoRR abs/2201.04236 (2022)
[i132]
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Ching-Yao Chuang, R. Devon Hjelm, Xin Wang, Vibhav Vineet, Neel Joshi, Antonio Torralba, Stefanie Jegelka, Yale Song:
Robust Contrastive Learning against Noisy Views. CoRR abs/2201.04309 (2022)
[i131]
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Daiqing Li, Huan Ling, Seung Wook Kim, Karsten Kreis, Adela Barriuso, Sanja Fidler, Antonio Torralba:
BigDatasetGAN: Synthesizing ImageNet with Pixel-wise Annotations. CoRR abs/2201.04684 (2022)
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Evan Hernandez, Sarah Schwettmann, David Bau, Teona Bagashvili, Antonio Torralba, Jacob Andreas:
Natural Language Descriptions of Deep Visual Features. CoRR abs/2201.11114 (2022)
[i129]
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Shuang Li, Xavier Puig, Chris Paxton, Yilun Du, Clinton Wang, Linxi Fan, Tao Chen, De-An Huang, Ekin Akyürek, Anima Anandkumar, Jacob Andreas, Igor Mordatch, Antonio Torralba, Yuke Zhu:
Pre-Trained Language Models for Interactive Decision-Making. CoRR abs/2202.01771 (2022)
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George Cazenavette, Tongzhou Wang, Antonio Torralba, Alexei A. Efros, Jun-Yan Zhu:
Dataset Distillation by Matching Training Trajectories. CoRR abs/2203.11932 (2022)
[i127]
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Dim P. Papadopoulos, Enrique Mora, Nadiia Chepurko, Kuan Wei Huang, Ferda Ofli, Antonio Torralba:
Learning Program Representations for Food Images and Cooking Recipes. CoRR abs/2203.16071 (2022)
[i126]
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Andrew F. Luo, Yilun Du, Michael J. Tarr, Joshua B. Tenenbaum, Antonio Torralba, Chuang Gan:
Learning Neural Acoustic Fields. CoRR abs/2204.00628 (2022)
[i125]
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Pratyusha Sharma, Balakumar Sundaralingam, Valts Blukis, Chris Paxton, Tucker Hermans, Antonio Torralba, Jacob Andreas, Dieter Fox:
Correcting Robot Plans with Natural Language Feedback. CoRR abs/2204.05186 (2022)
[i124]
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Zhenfang Chen, Kexin Yi, Yunzhu Li, Mingyu Ding, Antonio Torralba, Joshua B. Tenenbaum, Chuang Gan:
ComPhy: Compositional Physical Reasoning of Objects and Events from Videos. CoRR abs/2205.01089 (2022)
[i123]
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  - journals/corr/abs-2205-02834
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Yining Hong, Kaichun Mo, Li Yi, Leonidas J. Guibas, Antonio Torralba, Joshua B. Tenenbaum, Chuang Gan:
Fixing Malfunctional Objects With Learned Physical Simulation and Functional Prediction. CoRR abs/2205.02834 (2022)
[i122]
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  - journals/corr/abs-2206-01714
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Nan Liu, Shuang Li, Yilun Du, Antonio Torralba, Joshua B. Tenenbaum:
Compositional Visual Generation with Composable Diffusion Models. CoRR abs/2206.01714 (2022)
[i121]
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Seung Wook Kim, Karsten Kreis, Daiqing Li, Antonio Torralba, Sanja Fidler:
Polymorphic-GAN: Generating Aligned Samples across Multiple Domains with Learned Morph Maps. CoRR abs/2206.02903 (2022)
[i120]
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Joanna Materzynska, Antonio Torralba, David Bau:
Disentangling visual and written concepts in CLIP. CoRR abs/2206.07835 (2022)
[i119]
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Wei-Chiu Ma, Anqi Joyce Yang, Shenlong Wang, Raquel Urtasun, Antonio Torralba:
Virtual Correspondence: Humans as a Cue for Extreme-View Geometry. CoRR abs/2206.08365 (2022)
[i118]
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Tongzhou Wang, Simon S. Du, Antonio Torralba, Phillip Isola, Amy Zhang, Yuandong Tian:
Denoised MDPs: Learning World Models Better Than the World Itself. CoRR abs/2206.15477 (2022)
[i117]
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Audrey Cui, Ali Jahanian, Àgata Lapedriza, Antonio Torralba, Shahin Mahdizadehaghdam, Rohit Kumar, David Bau:
Local Relighting of Real Scenes. CoRR abs/2207.02774 (2022)
[i116]
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Chuang Gan, Yi Gu, Siyuan Zhou, Jeremy Schwartz, Seth Alter, James Traer, Dan Gutfreund, Joshua B. Tenenbaum, Josh H. McDermott, Antonio Torralba:
Finding Fallen Objects Via Asynchronous Audio-Visual Integration. CoRR abs/2207.03483 (2022)
[i115]
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Jingwei Ma, Lucy Chai, Minyoung Huh, Tongzhou Wang, Ser-Nam Lim, Phillip Isola, Antonio Torralba:
Totems: Physical Objects for Verifying Visual Integrity. CoRR abs/2209.13032 (2022)
[i114]
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Shuang Li, Yilun Du, Joshua B. Tenenbaum, Antonio Torralba, Igor Mordatch:
Composing Ensembles of Pre-trained Models via Iterative Consensus. CoRR abs/2210.11522 (2022)
[i113]
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Yifei Zhou, Zilu Li, Abhinav Shrivastava, Hengshuang Zhao, Antonio Torralba, Tai-Peng Tian, Ser-Nam Lim:
BT²: Backward-compatible Training with Basis Transformation. CoRR abs/2211.03989 (2022)
[i112]
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Manel Baradad, Chun-Fu Chen, Jonas Wulff, Tongzhou Wang, Rogério Feris, Antonio Torralba, Phillip Isola:
Procedural Image Programs for Representation Learning. CoRR abs/2211.16412 (2022)
[i111]
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Adrián Rodríguez-Muñoz, Antonio Torralba:
Aliasing is a Driver of Adversarial Attacks. CoRR abs/2212.11760 (2022)
2021
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Javier Marín, Aritro Biswas, Ferda Ofli, Nicholas Hynes, Amaia Salvador, Yusuf Aytar, Ingmar Weber, Antonio Torralba:
Recipe1M+: A Dataset for Learning Cross-Modal Embeddings for Cooking Recipes and Food Images. IEEE Trans. Pattern Anal. Mach. Intell. 43(1): 187-203 (2021)
[c178]
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Yunzhu Li, Shuang Li, Vincent Sitzmann, Pulkit Agrawal, Antonio Torralba:
3D Neural Scene Representations for Visuomotor Control. CoRL 2021: 112-123
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Seung Wook Kim, Jonah Philion, Antonio Torralba, Sanja Fidler:
DriveGAN: Towards a Controllable High-Quality Neural Simulation. CVPR 2021: 5820-5829
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Daiqing Li, Junlin Yang, Karsten Kreis, Antonio Torralba, Sanja Fidler:
Semantic Segmentation With Generative Models: Semi-Supervised Learning and Strong Out-of-Domain Generalization. CVPR 2021: 8300-8311
[c175]
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Yuxuan Zhang, Huan Ling, Jun Gao, Kangxue Yin, Jean-Francois Lafleche, Adela Barriuso, Antonio Torralba, Sanja Fidler:
DatasetGAN: Efficient Labeled Data Factory With Minimal Human Effort. CVPR 2021: 10145-10155
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Yiyue Luo, Yunzhu Li, Michael Foshey, Wan Shou, Pratyusha Sharma, Tomás Palacios, Antonio Torralba, Wojciech Matusik:
Intelligent Carpet: Inferring 3D Human Pose From Tactile Signals. CVPR 2021: 11255-11265
[c173]
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Shuang Li, Yilun Du, Antonio Torralba, Josef Sivic, Bryan C. Russell:
Weakly Supervised Human-Object Interaction Detection in Video via Contrastive Spatiotemporal Regions. ICCV 2021: 1825-1835
[c172]
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Prafull Sharma, Miika Aittala, Yoav Y. Schechner, Antonio Torralba, Gregory W. Wornell, William T. Freeman, Frédo Durand:
What You Can Learn by Staring at a Blank Wall. ICCV 2021: 2310-2319
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Chen-Hsuan Lin, Wei-Chiu Ma, Antonio Torralba, Simon Lucey:
BARF: Bundle-Adjusting Neural Radiance Fields. ICCV 2021: 5721-5731
[c170]
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Sarah Schwettmann, Evan Hernandez, David Bau, Samuel Klein, Jacob Andreas, Antonio Torralba:
Toward a Visual Concept Vocabulary for GAN Latent Space. ICCV 2021: 6784-6792
[c169]
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Dim P. Papadopoulos, Ethan Weber, Antonio Torralba:
Scaling up instance annotation via label propagation. ICCV 2021: 15344-15353
[c168]
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Xavier Puig, Tianmin Shu, Shuang Li, Zilin Wang, Yuan-Hong Liao, Joshua B. Tenenbaum, Sanja Fidler, Antonio Torralba:
Watch-And-Help: A Challenge for Social Perception and Human-AI Collaboration. ICLR 2021
[c167]
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Yuxuan Zhang, Wenzheng Chen, Huan Ling, Jun Gao, Yinan Zhang, Antonio Torralba, Sanja Fidler:
Image GANs meet Differentiable Rendering for Inverse Graphics and Interpretable 3D Neural Rendering. ICLR 2021
[c166]
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  - conf/interspeech/RouditchenkoBHC21
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Andrew Rouditchenko, Angie W. Boggust, David Harwath, Brian Chen, Dhiraj Joshi, Samuel Thomas, Kartik Audhkhasi, Hilde Kuehne, Rameswar Panda, Rogério Schmidt Feris, Brian Kingsbury, Michael Picheny, Antonio Torralba, James R. Glass:
AVLnet: Learning Audio-Visual Language Representations from Instructional Videos. Interspeech 2021: 1584-1588
[c165]
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Qiang Zhang, Yunzhu Li, Yiyue Luo, Wan Shou, Michael Foshey, Junchi Yan, Joshua B. Tenenbaum, Wojciech Matusik, Antonio Torralba:
Dynamic Modeling of Hand-Object Interactions via Tactile Sensing. IROS 2021: 2874-2881
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Chuang Gan, Abhishek Bhandwaldar, Antonio Torralba, Joshua B. Tenenbaum, Phillip Isola:
OPEn: An Open-ended Physics Environment for Learning Without a Task. IROS 2021: 5878-5885
[c163]
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Manel Baradad Jurjo, Jonas Wulff, Tongzhou Wang, Phillip Isola, Antonio Torralba:
Learning to See by Looking at Noise. NeurIPS 2021: 2556-2569
[c162]
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Ching-Yao Chuang, Youssef Mroueh, Kristjan H. Greenewald, Antonio Torralba, Stefanie Jegelka:
Measuring Generalization with Optimal Transport. NeurIPS 2021: 8294-8306
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Chuang Gan, Jeremy Schwartz, Seth Alter, Damian Mrowca, Martin Schrimpf, James Traer, Julian De Freitas, Jonas Kubilius, Abhishek Bhandwaldar, Nick Haber, Megumi Sano, Kuno Kim, Elias Wang, Michael Lingelbach, Aidan Curtis, Kevin T. Feigelis, Daniel Bear, Dan Gutfreund, David D. Cox, Antonio Torralba, James J. DiCarlo, Josh Tenenbaum, Josh H. McDermott, Dan Yamins:
ThreeDWorld: A Platform for Interactive Multi-Modal Physical Simulation. NeurIPS Datasets and Benchmarks 2021
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Huan Ling, Karsten Kreis, Daiqing Li, Seung Wook Kim, Antonio Torralba, Sanja Fidler:
EditGAN: High-Precision Semantic Image Editing. NeurIPS 2021: 16331-16345
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Yining Hong, Li Yi, Josh Tenenbaum, Antonio Torralba, Chuang Gan:
PTR: A Benchmark for Part-based Conceptual, Relational, and Physical Reasoning. NeurIPS 2021: 17427-17440
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Nan Liu, Shuang Li, Yilun Du, Josh Tenenbaum, Antonio Torralba:
Learning to Compose Visual Relations. NeurIPS 2021: 23166-23178
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Shibani Santurkar, Dimitris Tsipras, Mahalaxmi Elango, David Bau, Antonio Torralba, Aleksander Madry:
Editing a classifier by rewriting its prediction rules. NeurIPS 2021: 23359-23373
[i110]
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Wei-Chiu Ma, Shenlong Wang, Jiayuan Gu, Sivabalan Manivasagam, Antonio Torralba, Raquel Urtasun:
Deep Feedback Inverse Problem Solver. CoRR abs/2101.07719 (2021)
[i109]
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David Bau, Alex Andonian, Audrey Cui, YeonHwan Park, Ali Jahanian, Aude Oliva, Antonio Torralba:
Paint by Word. CoRR abs/2103.10951 (2021)
[i108]
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Chuang Gan, Siyuan Zhou, Jeremy Schwartz, Seth Alter, Abhishek Bhandwaldar, Dan Gutfreund, Daniel L. K. Yamins, James J. DiCarlo, Josh H. McDermott, Antonio Torralba, Joshua B. Tenenbaum:
The ThreeDWorld Transport Challenge: A Visually Guided Task-and-Motion Planning Benchmark for Physically Realistic Embodied AI. CoRR abs/2103.14025 (2021)
[i107]
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Daiqing Li, Junlin Yang, Karsten Kreis, Antonio Torralba, Sanja Fidler:
Semantic Segmentation with Generative Models: Semi-Supervised Learning and Strong Out-of-Domain Generalization. CoRR abs/2104.05833 (2021)
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Chen-Hsuan Lin, Wei-Chiu Ma, Antonio Torralba, Simon Lucey:
BARF: Bundle-Adjusting Neural Radiance Fields. CoRR abs/2104.06405 (2021)
[i105]
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Yuxuan Zhang, Huan Ling, Jun Gao, Kangxue Yin, Jean-Francois Lafleche, Adela Barriuso, Antonio Torralba, Sanja Fidler:
DatasetGAN: Efficient Labeled Data Factory with Minimal Human Effort. CoRR abs/2104.06490 (2021)
[i104]
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Jacob Andreas, Gasper Begus, Michael M. Bronstein, Roee Diamant, Denley Delaney, Shane Gero, Shafi Goldwasser, David F. Gruber, Sarah de Haas, Peter Malkin, Roger Payne, Giovanni Petri, Daniela Rus, Pratyusha Sharma, Dan Tchernov, Pernille Tønnesen, Antonio Torralba, Daniel M. Vogt, Robert J. Wood:
Cetacean Translation Initiative: a roadmap to deciphering the communication of sperm whales. CoRR abs/2104.08614 (2021)
[i103]
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Seung Wook Kim, Jonah Philion, Antonio Torralba, Sanja Fidler:
DriveGAN: Towards a Controllable High-Quality Neural Simulation. CoRR abs/2104.15060 (2021)
[i102]
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Ching-Yao Chuang, Youssef Mroueh, Kristjan H. Greenewald, Antonio Torralba, Stefanie Jegelka:
Measuring Generalization with Optimal Transport. CoRR abs/2106.03314 (2021)
[i101]
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Manel Baradad, Jonas Wulff, Tongzhou Wang, Phillip Isola, Antonio Torralba:
Learning to See by Looking at Noise. CoRR abs/2106.05963 (2021)
[i100]
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Yunzhu Li, Shuang Li, Vincent Sitzmann, Pulkit Agrawal, Antonio Torralba:
3D Neural Scene Representations for Visuomotor Control. CoRR abs/2107.04004 (2021)
[i99]
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Prafull Sharma, Miika Aittala, Yoav Y. Schechner, Antonio Torralba, Gregory W. Wornell, William T. Freeman, Frédo Durand:
What You Can Learn by Staring at a Blank Wall. CoRR abs/2108.13027 (2021)
[i98]
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Qiang Zhang, Yunzhu Li, Yiyue Luo, Wan Shou, Michael Foshey, Junchi Yan, Joshua B. Tenenbaum, Wojciech Matusik, Antonio Torralba:
Dynamic Modeling of Hand-Object Interactions via Tactile Sensing. CoRR abs/2109.04378 (2021)
[i97]
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Pratyusha Sharma, Antonio Torralba, Jacob Andreas:
Skill Induction and Planning with Latent Language. CoRR abs/2110.01517 (2021)
[i96]
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Dim P. Papadopoulos, Ethan Weber, Antonio Torralba:
Scaling up instance annotation via label propagation. CoRR abs/2110.02277 (2021)
[i95]
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Shuang Li, Yilun Du, Antonio Torralba, Josef Sivic, Bryan C. Russell:
Weakly Supervised Human-Object Interaction Detection in Video via Contrastive Spatiotemporal Regions. CoRR abs/2110.03562 (2021)
[i94]
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Sarah Schwettmann, Evan Hernandez, David Bau, Samuel Klein, Jacob Andreas, Antonio Torralba:
Toward a Visual Concept Vocabulary for GAN Latent Space. CoRR abs/2110.04292 (2021)
[i93]
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Chuang Gan, Abhishek Bhandwaldar, Antonio Torralba, Joshua B. Tenenbaum, Phillip Isola:
OPEn: An Open-ended Physics Environment for Learning Without a Task. CoRR abs/2110.06912 (2021)
[i92]
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Kristen Grauman, Andrew Westbury, Eugene Byrne, Zachary Chavis, Antonino Furnari, Rohit Girdhar, Jackson Hamburger, Hao Jiang, Miao Liu, Xingyu Liu, Miguel Martin, Tushar Nagarajan, Ilija Radosavovic, Santhosh Kumar Ramakrishnan, Fiona Ryan, Jayant Sharma, Michael Wray, Mengmeng Xu, Eric Zhongcong Xu, Chen Zhao, Siddhant Bansal, Dhruv Batra, Vincent Cartillier, Sean Crane, Tien Do, Morrie Doulaty, Akshay Erapalli, Christoph Feichtenhofer, Adriano Fragomeni, Qichen Fu, Christian Fuegen, Abrham Gebreselasie, Cristina González, James Hillis, Xuhua Huang, Yifei Huang, Wenqi Jia, Weslie Khoo, Jáchym Kolár, Satwik Kottur, Anurag Kumar, Federico Landini, Chao Li, Yanghao Li, Zhenqiang Li, Karttikeya Mangalam, Raghava Modhugu, Jonathan Munro, Tullie Murrell, Takumi Nishiyasu, Will Price, Paola Ruiz Puentes, Merey Ramazanova, Leda Sari, Kiran Somasundaram, Audrey Southerland, Yusuke Sugano, Ruijie Tao, Minh Vo, Yuchen Wang, Xindi Wu, Takuma Yagi, Yunyi Zhu, Pablo Arbeláez, David Crandall, Dima Damen, Giovanni Maria Farinella, Bernard Ghanem, Vamsi Krishna Ithapu, C. V. Jawahar, Hanbyul Joo, Kris Kitani, Haizhou Li, Richard A. Newcombe, Aude Oliva, Hyun Soo Park, James M. Rehg, Yoichi Sato, Jianbo Shi, Mike Zheng Shou, Antonio Torralba, Lorenzo Torresani, Mingfei Yan, Jitendra Malik:
Ego4D: Around the World in 3, 000 Hours of Egocentric Video. CoRR abs/2110.07058 (2021)
[i91]
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  - journals/corr/abs-2111-03186
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Huan Ling, Karsten Kreis, Daiqing Li, Seung Wook Kim, Antonio Torralba, Sanja Fidler:
EditGAN: High-Precision Semantic Image Editing. CoRR abs/2111.03186 (2021)
[i90]
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Nan Liu, Shuang Li, Yilun Du, Joshua B. Tenenbaum, Antonio Torralba:
Learning to Compose Visual Relations. CoRR abs/2111.09297 (2021)
[i89]
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Shibani Santurkar, Dimitris Tsipras, Mahalaxmi Elango, David Bau, Antonio Torralba, Aleksander Madry:
Editing a classifier by rewriting its prediction rules. CoRR abs/2112.01008 (2021)
[i88]
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Yining Hong, Li Yi, Joshua B. Tenenbaum, Antonio Torralba, Chuang Gan:
PTR: A Benchmark for Part-based Conceptual, Relational, and Physical Reasoning. CoRR abs/2112.05136 (2021)
[i87]
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William S. Peebles, Jun-Yan Zhu, Richard Zhang, Antonio Torralba, Alexei A. Efros, Eli Shechtman:
GAN-Supervised Dense Visual Alignment. CoRR abs/2112.05143 (2021)
2020
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Lisa Amini, Ching-Hua Chen, David D. Cox, Aude Oliva, Antonio Torralba:
Experiences and Insights for Collaborative Industry-Academic Research in Artificial Intelligence. AI Mag. 41(1): 70-81 (2020)
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David Harwath, Adrià Recasens, Dídac Surís, Galen Chuang, Antonio Torralba, James R. Glass:
Jointly Discovering Visual Objects and Spoken Words from Raw Sensory Input. Int. J. Comput. Vis. 128(3): 620-641 (2020)
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Jun-Yan Zhu, Hongsheng Li, Eli Shechtman, Ming-Yu Liu, Jan Kautz, Antonio Torralba:
Guest Editorial: Generative Adversarial Networks for Computer Vision. Int. J. Comput. Vis. 128(10): 2363-2365 (2020)
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Muhammad Imran, Ferda Ofli, Doina Caragea, Antonio Torralba:
Using AI and Social Media Multimodal Content for Disaster Response and Management: Opportunities, Challenges, and Future Directions. Inf. Process. Manag. 57(5): 102261 (2020)
[j36]
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David Bau, Jun-Yan Zhu, Hendrik Strobelt, Àgata Lapedriza, Bolei Zhou, Antonio Torralba:
Understanding the role of individual units in a deep neural network. Proc. Natl. Acad. Sci. USA 117(48): 30071-30078 (2020)
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Manel Baradad, Antonio Torralba:
Height and Uprightness Invariance for 3D Prediction From a Single View. CVPR 2020: 488-497
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Seung Wook Kim, Yuhao Zhou, Jonah Philion, Antonio Torralba, Sanja Fidler:
Learning to Simulate Dynamic Environments With GameGAN. CVPR 2020: 1228-1237
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Chuang Gan, Deng Huang, Hang Zhao, Joshua B. Tenenbaum, Antonio Torralba:
Music Gesture for Visual Sound Separation. CVPR 2020: 10475-10484
[c153]
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Steven Liu, Tongzhou Wang, David Bau, Jun-Yan Zhu, Antonio Torralba:
Diverse Image Generation via Self-Conditioned GANs. CVPR 2020: 14274-14283
[c152]
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Wei-Chiu Ma, Shenlong Wang, Jiayuan Gu, Sivabalan Manivasagam, Antonio Torralba, Raquel Urtasun:
Deep Feedback Inverse Problem Solver. ECCV (5) 2020: 229-246
[c151]
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  - conf/eccv/WeberMPBLO0020
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Ethan Weber, Nuria Marzo, Dim P. Papadopoulos, Aritro Biswas, Àgata Lapedriza, Ferda Ofli, Muhammad Imran, Antonio Torralba:
Detecting Natural Disasters, Damage, and Incidents in the Wild. ECCV (19) 2020: 331-350
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David Bau, Steven Liu, Tongzhou Wang, Jun-Yan Zhu, Antonio Torralba:
Rewriting a Deep Generative Model. ECCV (1) 2020: 351-369
[c149]
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  - conf/eccv/PeeblesPZE020
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William S. Peebles, John Peebles, Jun-Yan Zhu, Alexei A. Efros, Antonio Torralba:
The Hessian Penalty: A Weak Prior for Unsupervised Disentanglement. ECCV (6) 2020: 581-597
[c148]
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Chuang Gan, Deng Huang, Peihao Chen, Joshua B. Tenenbaum, Antonio Torralba:
Foley Music: Learning to Generate Music from Videos. ECCV (11) 2020: 758-775
[c147]
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Yunzhu Li, Hao He, Jiajun Wu, Dina Katabi, Antonio Torralba:
Learning Compositional Koopman Operators for Model-Based Control. ICLR 2020
[c146]
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Kexin Yi, Chuang Gan, Yunzhu Li, Pushmeet Kohli, Jiajun Wu, Antonio Torralba, Joshua B. Tenenbaum:
CLEVRER: Collision Events for Video Representation and Reasoning. ICLR 2020
[c145]
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Zhoutong Zhang, Yunyun Wang, Chuang Gan, Jiajun Wu, Joshua B. Tenenbaum, Antonio Torralba, William T. Freeman:
Deep Audio Priors Emerge From Harmonic Convolutional Networks. ICLR 2020
[c144]
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Ching-Yao Chuang, Antonio Torralba, Stefanie Jegelka:
Estimating Generalization under Distribution Shifts via Domain-Invariant Representations. ICML 2020: 1984-1994
[c143]
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Yunzhu Li, Toru Lin, Kexin Yi, Daniel Bear, Daniel Yamins, Jiajun Wu, Joshua B. Tenenbaum, Antonio Torralba:
Visual Grounding of Learned Physical Models. ICML 2020: 5927-5936
[c142]
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Ching-Yao Chuang, Joshua Robinson, Yen-Chen Lin, Antonio Torralba, Stefanie Jegelka:
Debiased Contrastive Learning. NeurIPS 2020
[c141]
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Yunzhu Li, Antonio Torralba, Anima Anandkumar, Dieter Fox, Animesh Garg:
Causal Discovery in Physical Systems from Videos. NeurIPS 2020
[i86]
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  - journals/corr/abs-2004-09476
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Chuang Gan, Deng Huang, Hang Zhao, Joshua B. Tenenbaum, Antonio Torralba:
Music Gesture for Visual Sound Separation. CoRR abs/2004.09476 (2020)
[i85]
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  - journals/corr/abs-2004-13664
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Yunzhu Li, Toru Lin, Kexin Yi, Daniel Bear, Daniel L. K. Yamins, Jiajun Wu, Joshua B. Tenenbaum, Antonio Torralba:
Visual Grounding of Learned Physical Models. CoRR abs/2004.13664 (2020)
[i84]
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  - journals/corr/abs-2005-07727
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David Bau, Hendrik Strobelt, William S. Peebles, Jonas Wulff, Bolei Zhou, Jun-Yan Zhu, Antonio Torralba:
Semantic Photo Manipulation with a Generative Image Prior. CoRR abs/2005.07727 (2020)
[i83]
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  - journals/corr/abs-2005-12126
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Seung Wook Kim, Yuhao Zhou, Jonah Philion, Antonio Torralba, Sanja Fidler:
Learning to Simulate Dynamic Environments with GameGAN. CoRR abs/2005.12126 (2020)
[i82]
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  - journals/corr/abs-2006-09199
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Andrew Rouditchenko, Angie W. Boggust, David Harwath, Dhiraj Joshi, Samuel Thomas, Kartik Audhkhasi, Rogério Feris, Brian Kingsbury, Michael Picheny, Antonio Torralba, James R. Glass:
AVLnet: Learning Audio-Visual Language Representations from Instructional Videos. CoRR abs/2006.09199 (2020)
[i81]
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  - journals/corr/abs-2006-10728
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Steven Liu, Tongzhou Wang, David Bau, Jun-Yan Zhu, Antonio Torralba:
Diverse Image Generation via Self-Conditioned GANs. CoRR abs/2006.10728 (2020)
[i80]
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  - journals/corr/abs-2007-00224
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Ching-Yao Chuang, Joshua Robinson, Yen-Chen Lin, Antonio Torralba, Stefanie Jegelka:
Debiased Contrastive Learning. CoRR abs/2007.00224 (2020)
[i79]
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  - journals/corr/abs-2007-00631
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Yunzhu Li, Antonio Torralba, Animashree Anandkumar, Dieter Fox, Animesh Garg:
Causal Discovery in Physical Systems from Videos. CoRR abs/2007.00631 (2020)
[i78]
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  - journals/corr/abs-2007-03511
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Ching-Yao Chuang, Antonio Torralba, Stefanie Jegelka:
Estimating Generalization under Distribution Shifts via Domain-Invariant Representations. CoRR abs/2007.03511 (2020)
[i77]
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  - journals/corr/abs-2007-10984
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Chuang Gan, Deng Huang, Peihao Chen, Joshua B. Tenenbaum, Antonio Torralba:
Foley Music: Learning to Generate Music from Videos. CoRR abs/2007.10984 (2020)
[i76]
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  - journals/corr/abs-2007-13729
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Chuang Gan, Xiaoyu Chen, Phillip Isola, Antonio Torralba, Joshua B. Tenenbaum:
Noisy Agents: Self-supervised Exploration by Predicting Auditory Events. CoRR abs/2007.13729 (2020)
[i75]
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  - journals/corr/abs-2007-15646
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David Bau, Steven Liu, Tongzhou Wang, Jun-Yan Zhu, Antonio Torralba:
Rewriting a Deep Generative Model. CoRR abs/2007.15646 (2020)
[i74]
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  - journals/corr/abs-2008-09188
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Ethan Weber, Nuria Marzo, Dim P. Papadopoulos, Aritro Biswas, Àgata Lapedriza, Ferda Ofli, Muhammad Imran, Antonio Torralba:
Detecting natural disasters, damage, and incidents in the wild. CoRR abs/2008.09188 (2020)
[i73]
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  - journals/corr/abs-2008-10599
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William S. Peebles, John Peebles, Jun-Yan Zhu, Alexei A. Efros, Antonio Torralba:
The Hessian Penalty: A Weak Prior for Unsupervised Disentanglement. CoRR abs/2008.10599 (2020)
[i72]
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  - journals/corr/abs-2009-05041
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David Bau, Jun-Yan Zhu, Hendrik Strobelt, Àgata Lapedriza, Bolei Zhou, Antonio Torralba:
Understanding the Role of Individual Units in a Deep Neural Network. CoRR abs/2009.05041 (2020)
[i71]
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Jonas Wulff, Antonio Torralba:
Improving Inversion and Generation Diversity in StyleGAN using a Gaussianized Latent Space. CoRR abs/2009.06529 (2020)
[i70]
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  - journals/corr/abs-2010-09125
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Yuxuan Zhang, Wenzheng Chen, Huan Ling, Jun Gao, Yinan Zhang, Antonio Torralba, Sanja Fidler:
Image GANs meet Differentiable Rendering for Inverse Graphics and Interpretable 3D Neural Rendering. CoRR abs/2010.09125 (2020)
[i69]
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  - journals/corr/abs-2010-09890
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Xavier Puig, Tianmin Shu, Shuang Li, Zilin Wang, Joshua B. Tenenbaum, Sanja Fidler, Antonio Torralba:
Watch-And-Help: A Challenge for Social Perception and Human-AI Collaboration. CoRR abs/2010.09890 (2020)
[i68]
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  - journals/corr/abs-2010-11724
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Yunchao Wei, Shuai Zheng, Ming-Ming Cheng, Hang Zhao, Liwei Wang, Errui Ding, Yi Yang, Antonio Torralba, Ting Liu, Guolei Sun, Wenguan Wang, Luc Van Gool, Wonho Bae, Junhyug Noh, Jinhwan Seo, Gunhee Kim, Hao Zhao, Ming Lu, Anbang Yao, Yiwen Guo, Yurong Chen, Li Zhang, Chuangchuang Tan, Tao Ruan, Guanghua Gu, Shikui Wei, Yao Zhao, Mariia Dobko, Ostap Viniavskyi, Oles Dobosevych, Zhendong Wang, Zhenyuan Chen, Chen Gong, Huanqing Yan, Jun He:
LID 2020: The Learning from Imperfect Data Challenge Results. CoRR abs/2010.11724 (2020)
[i67]
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  - journals/corr/abs-2011-12216
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Shuang Li, Yilun Du, Gido M. van de Ven, Antonio Torralba, Igor Mordatch:
Energy-Based Models for Continual Learning. CoRR abs/2011.12216 (2020)

2010 – 2019

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What is the meaning of the colors in the publication lists?

2019
[j35]
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Bolei Zhou, Hang Zhao, Xavier Puig, Tete Xiao, Sanja Fidler, Adela Barriuso, Antonio Torralba:
Semantic Understanding of Scenes Through the ADE20K Dataset. Int. J. Comput. Vis. 127(3): 302-321 (2019)
[j34]
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  - journals/nature/SundaramKLZ0M19
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Subramanian Sundaram, Petr Kellnhofer, Yunzhu Li, Jun-Yan Zhu, Antonio Torralba, Wojciech Matusik:
Learning the signatures of the human grasp using a scalable tactile glove. Nat. 569(7758): 698-702 (2019)
[j33]
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  - journals/pami/BylinskiiJOTD19
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Zoya Bylinskii, Tilke Judd, Aude Oliva, Antonio Torralba, Frédo Durand:
What Do Different Evaluation Metrics Tell Us About Saliency Models? IEEE Trans. Pattern Anal. Mach. Intell. 41(3): 740-757 (2019)
[j32]
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Bolei Zhou, David Bau, Aude Oliva, Antonio Torralba:
Interpreting Deep Visual Representations via Network Dissection. IEEE Trans. Pattern Anal. Mach. Intell. 41(9): 2131-2145 (2019)
[j31]
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  - journals/tog/BauSPWZZ019
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David Bau, Hendrik Strobelt, William S. Peebles, Jonas Wulff, Bolei Zhou, Jun-Yan Zhu, Antonio Torralba:
Semantic photo manipulation with a generative image prior. ACM Trans. Graph. 38(4): 59:1-59:11 (2019)
[c140]
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  - conf/cvpr/RouditchenkoZGM19
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Andrew Rouditchenko, Hang Zhao, Chuang Gan, Josh H. McDermott, Antonio Torralba:
Self-Supervised Segmentation and Source Separation on Videos. CVPR Workshops 2019: 0
[c139]
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  - conf/cvpr/BoggustAJHTFGZ019
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Angie W. Boggust, Kartik Audhkhasi, Dhiraj Joshi, David Harwath, Samuel Thomas, Rogério Schmidt Feris, Danny Gutfreund, Yang Zhang, Antonio Torralba, Michael Picheny, James R. Glass:
Grounding Spoken Words in Unlabeled Video. CVPR Workshops 2019: 29-32
[c138]
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  - conf/cvpr/SurisRBHG019
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Didac Suris, Adrià Recasens, David Bau, David Harwath, James R. Glass, Antonio Torralba:
Learning Words by Drawing Images. CVPR 2019: 2029-2038
[c137]
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  - conf/cvpr/LiaoPB0F19
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Yuan-Hong Liao, Xavier Puig, Marko Boben, Antonio Torralba, Sanja Fidler:
Synthesizing Environment-Aware Activities via Activity Sketches. CVPR 2019: 6291-6299
[c136]
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  - conf/cvpr/PapadopoulosTOW19
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Dim P. Papadopoulos, Youssef Tamaazousti, Ferda Ofli, Ingmar Weber, Antonio Torralba:
How to Make a Pizza: Learning a Compositional Layer-Based GAN Model. CVPR 2019: 8002-8011
[c135]
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  - conf/cvpr/LiZT019
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Yunzhu Li, Jun-Yan Zhu, Russ Tedrake, Antonio Torralba:
Connecting Touch and Vision via Cross-Modal Prediction. CVPR 2019: 10609-10618
[c134]
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  - conf/icassp/RouditchenkoZGM19
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Andrew Rouditchenko, Hang Zhao, Chuang Gan, Josh H. McDermott, Antonio Torralba:
Self-supervised Audio-visual Co-segmentation. ICASSP 2019: 2357-2361
[c133]
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  - conf/iccv/ZhaoGM019
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Hang Zhao, Chuang Gan, Wei-Chiu Ma, Antonio Torralba:
The Sound of Motions. ICCV 2019: 1735-1744
[c132]
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  - conf/iccv/BauZWPZS019
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David Bau, Jun-Yan Zhu, Jonas Wulff, William S. Peebles, Bolei Zhou, Hendrik Strobelt, Antonio Torralba:
Seeing What a GAN Cannot Generate. ICCV 2019: 4501-4510
[c131]
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  - conf/iccv/ChuLAKSWL0F19
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Hang Chu, Daiqing Li, David Acuna, Amlan Kar, Maria Shugrina, Xinkai Wei, Ming-Yu Liu, Antonio Torralba, Sanja Fidler:
Neural Turtle Graphics for Modeling City Road Layouts. ICCV 2019: 4521-4529
[c130]
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  - conf/iccv/KarPLCYRA0F19
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Amlan Kar, Aayush Prakash, Ming-Yu Liu, Eric Cameracci, Justin Yuan, Matt Rusiniak, David Acuna, Antonio Torralba, Sanja Fidler:
Meta-Sim: Learning to Generate Synthetic Datasets. ICCV 2019: 4550-4559
[c129]
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  - conf/iccv/KellnhoferRSM019
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Petr Kellnhofer, Adrià Recasens, Simon Stent, Wojciech Matusik, Antonio Torralba:
Gaze360: Physically Unconstrained Gaze Estimation in the Wild. ICCV 2019: 6911-6920
[c128]
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  - conf/iccv/GanZCC019
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Chuang Gan, Hang Zhao, Peihao Chen, David D. Cox, Antonio Torralba:
Self-Supervised Moving Vehicle Tracking With Stereo Sound. ICCV 2019: 7052-7061
[c127]
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Hang Zhao, Antonio Torralba, Lorenzo Torresani, Zhicheng Yan:
HACS: Human Action Clips and Segments Dataset for Recognition and Temporal Localization. ICCV 2019: 8667-8677
[c126]
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  - conf/iccv/ZhaoLRZL0K19
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Mingmin Zhao, Yingcheng Liu, Aniruddh Raghu, Hang Zhao, Tianhong Li, Antonio Torralba, Dina Katabi:
Through-Wall Human Mesh Recovery Using Radio Signals. ICCV 2019: 10112-10121
[c125]
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  - conf/iclr/BauZSZTFT19
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David Bau, Jun-Yan Zhu, Hendrik Strobelt, Bolei Zhou, Joshua B. Tenenbaum, William T. Freeman, Antonio Torralba:
GAN Dissection: Visualizing and Understanding Generative Adversarial Networks. ICLR (Poster) 2019
[c124]
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David Bau, Jun-Yan Zhu, Hendrik Strobelt, Bolei Zhou, Joshua B. Tenenbaum, William T. Freeman, Antonio Torralba:
Visualizing and Understanding GANs. DGS@ICLR 2019
[c123]
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  - conf/iclr/LiWTTT19
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Yunzhu Li, Jiajun Wu, Russ Tedrake, Joshua B. Tenenbaum, Antonio Torralba:
Learning Particle Dynamics for Manipulating Rigid Bodies, Deformable Objects, and Fluids. ICLR (Poster) 2019
[c122]
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  - conf/icra/Li0ZT0T19
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Yunzhu Li, Jiajun Wu, Jun-Yan Zhu, Joshua B. Tenenbaum, Antonio Torralba, Russ Tedrake:
Propagation Networks for Model-Based Control Under Partial Observation. ICRA 2019: 1205-1211
[p1]
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  - series/lncs/ZhouBO019
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Bolei Zhou, David Bau, Aude Oliva, Antonio Torralba:
Comparing the Interpretability of Deep Networks via Network Dissection. Explainable AI 2019: 243-252
[i66]
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  - journals/corr/abs-1901-09887
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David Bau, Jun-Yan Zhu, Hendrik Strobelt, Bolei Zhou, Joshua B. Tenenbaum, William T. Freeman, Antonio Torralba:
Visualizing and Understanding Generative Adversarial Networks (Extended Abstract). CoRR abs/1901.09887 (2019)
[i65]
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  - journals/corr/abs-1904-05979
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Hang Zhao, Chuang Gan, Wei-Chiu Ma, Antonio Torralba:
The Sound of Motions. CoRR abs/1904.05979 (2019)
[i64]
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  - journals/corr/abs-1904-09013
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Andrew Rouditchenko, Hang Zhao, Chuang Gan, Josh H. McDermott, Antonio Torralba:
Self-Supervised Audio-Visual Co-Segmentation. CoRR abs/1904.09013 (2019)
[i63]
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  - journals/corr/abs-1904-11621
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Amlan Kar, Aayush Prakash, Ming-Yu Liu, Eric Cameracci, Justin Yuan, Matt Rusiniak, David Acuna, Antonio Torralba, Sanja Fidler:
Meta-Sim: Learning to Generate Synthetic Datasets. CoRR abs/1904.11621 (2019)
[i62]
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Dim P. Papadopoulos, Youssef Tamaazousti, Ferda Ofli, Ingmar Weber, Antonio Torralba:
How to make a pizza: Learning a compositional layer-based GAN model. CoRR abs/1906.02839 (2019)
[i61]
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Yunzhu Li, Jun-Yan Zhu, Russ Tedrake, Antonio Torralba:
Connecting Touch and Vision via Cross-Modal Prediction. CoRR abs/1906.06322 (2019)
[i60]
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Kexin Yi, Chuang Gan, Yunzhu Li, Pushmeet Kohli, Jiajun Wu, Antonio Torralba, Joshua B. Tenenbaum:
CLEVRER: CoLlision Events for Video REpresentation and Reasoning. CoRR abs/1910.01442 (2019)
[i59]
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Hang Chu, Daiqing Li, David Acuna, Amlan Kar, Maria Shugrina, Xinkai Wei, Ming-Yu Liu, Antonio Torralba, Sanja Fidler:
Neural Turtle Graphics for Modeling City Road Layouts. CoRR abs/1910.02055 (2019)
[i58]
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Ching-Yao Chuang, Antonio Torralba, Stefanie Jegelka:
The Role of Embedding Complexity in Domain-invariant Representations. CoRR abs/1910.05804 (2019)
[i57]
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Yunzhu Li, Hao He, Jiajun Wu, Dina Katabi, Antonio Torralba:
Learning Compositional Koopman Operators for Model-Based Control. CoRR abs/1910.08264 (2019)
[i56]
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  - journals/corr/abs-1910-10088
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Petr Kellnhofer, Adrià Recasens, Simon Stent, Wojciech Matusik, Antonio Torralba:
Gaze360: Physically Unconstrained Gaze Estimation in the Wild. CoRR abs/1910.10088 (2019)
[i55]
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  - journals/corr/abs-1910-11626
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David Bau, Jun-Yan Zhu, Jonas Wulff, William S. Peebles, Hendrik Strobelt, Bolei Zhou, Antonio Torralba:
Seeing What a GAN Cannot Generate. CoRR abs/1910.11626 (2019)
[i54]
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Chuang Gan, Hang Zhao, Peihao Chen, David D. Cox, Antonio Torralba:
Self-supervised Moving Vehicle Tracking with Stereo Sound. CoRR abs/1910.11760 (2019)
2018
[j30]
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Jiajun Wu, Tianfan Xue, Joseph J. Lim, Yuandong Tian, Joshua B. Tenenbaum, Antonio Torralba, William T. Freeman:
3D Interpreter Networks for Viewer-Centered Wireframe Modeling. Int. J. Comput. Vis. 126(9): 1009-1026 (2018)
[j29]
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Andrew Owens, Jiajun Wu, Josh H. McDermott, William T. Freeman, Antonio Torralba:
Learning Sight from Sound: Ambient Sound Provides Supervision for Visual Learning. Int. J. Comput. Vis. 126(10): 1120-1137 (2018)
[j28]
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Bolei Zhou, Àgata Lapedriza, Aditya Khosla, Aude Oliva, Antonio Torralba:
Places: A 10 Million Image Database for Scene Recognition. IEEE Trans. Pattern Anal. Mach. Intell. 40(6): 1452-1464 (2018)
[j27]
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Yusuf Aytar, Lluís Castrejón, Carl Vondrick, Hamed Pirsiavash, Antonio Torralba:
Cross-Modal Scene Networks. IEEE Trans. Pattern Anal. Mach. Intell. 40(10): 2303-2314 (2018)
[j26]
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  - journals/tci/ThrampoulidisSX18
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Christos Thrampoulidis, Gal Shulkind, Feihu Xu, William T. Freeman, Jeffrey H. Shapiro, Antonio Torralba, Franco N. C. Wong, Gregory W. Wornell:
Exploiting Occlusion in Non-Line-of-Sight Active Imaging. IEEE Trans. Computational Imaging 4(3): 419-431 (2018)
[c121]
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Ching-Yao Chuang, Jiaman Li, Antonio Torralba, Sanja Fidler:
Learning to Act Properly: Predicting and Explaining Affordances From Images. CVPR 2018: 975-983
[c120]
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Manel Baradad, Vickie Ye, Adam B. Yedidia, Frédo Durand, William T. Freeman, Gregory W. Wornell, Antonio Torralba:
Inferring Light Fields From Shadows. CVPR 2018: 6267-6275
[c119]
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Mingmin Zhao, Tianhong Li, Mohammad Abu Alsheikh, Yonglong Tian, Hang Zhao, Antonio Torralba, Dina Katabi:
Through-Wall Human Pose Estimation Using Radio Signals. CVPR 2018: 7356-7365
[c118]
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Xavier Puig, Kevin Ra, Marko Boben, Jiaman Li, Tingwu Wang, Sanja Fidler, Antonio Torralba:
VirtualHome: Simulating Household Activities via Programs. CVPR 2018: 8494-8502
[c117]
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  - conf/eccv/RecasensKSMT18
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Adrià Recasens, Petr Kellnhofer, Simon Stent, Wojciech Matusik, Antonio Torralba:
Learning to Zoom: A Saliency-Based Sampling Layer for Neural Networks. ECCV (9) 2018: 52-67
[c116]
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Bolei Zhou, Yiyou Sun, David Bau, Antonio Torralba:
Interpretable Basis Decomposition for Visual Explanation. ECCV (8) 2018: 122-138
[c115]
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  - conf/eccv/MaCZUT18
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Wei-Chiu Ma, Hang Chu, Bolei Zhou, Raquel Urtasun, Antonio Torralba:
Single Image Intrinsic Decomposition Without a Single Intrinsic Image. ECCV (14) 2018: 211-229
[c114]
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Hang Zhao, Chuang Gan, Andrew Rouditchenko, Carl Vondrick, Josh H. McDermott, Antonio Torralba:
The Sound of Pixels. ECCV (1) 2018: 587-604
[c113]
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  - conf/eccv/HarwathRSCTG18
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David Harwath, Adrià Recasens, Dídac Surís, Galen Chuang, Antonio Torralba, James R. Glass:
Jointly Discovering Visual Objects and Spoken Words from Raw Sensory Input. ECCV (6) 2018: 659-677
[c112]
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Bolei Zhou, Alex Andonian, Aude Oliva, Antonio Torralba:
Temporal Relational Reasoning in Videos. ECCV (1) 2018: 831-846
[c111]
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  - conf/iros/WuZRKWH0J18
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Jimmy Wu, Bolei Zhou, Rebecca L. Russell, Vincent Kee, Syler Wagner, Mitchell Hebert, Antonio Torralba, David M. S. Johnson:
Real-Time Object Pose Estimation with Pose Interpreter Networks. IROS 2018: 6798-6805
[c110]
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Felix Naser, Igor Gilitschenski, Guy Rosman, Alexander Amini, Frédo Durand, Antonio Torralba, Gregory W. Wornell, William T. Freeman, Sertac Karaman, Daniela Rus:
ShadowCam: Real-Time Detection of Moving Obstacles Behind A Corner For Autonomous Vehicles. ITSC 2018: 560-567
[c109]
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Jun-Yan Zhu, Zhoutong Zhang, Chengkai Zhang, Jiajun Wu, Antonio Torralba, Josh Tenenbaum, Bill Freeman:
Visual Object Networks: Image Generation with Disentangled 3D Representations. NeurIPS 2018: 118-129
[c108]
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Kexin Yi, Jiajun Wu, Chuang Gan, Antonio Torralba, Pushmeet Kohli, Josh Tenenbaum:
Neural-Symbolic VQA: Disentangling Reasoning from Vision and Language Understanding. NeurIPS 2018: 1039-1050
[c107]
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Shunyu Yao, Tzu-Ming Harry Hsu, Jun-Yan Zhu, Jiajun Wu, Antonio Torralba, Bill Freeman, Josh Tenenbaum:
3D-Aware Scene Manipulation via Inverse Graphics. NeurIPS 2018: 1891-1902
[c106]
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  - conf/sigcomm/ZhaoTZALHKK018
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Mingmin Zhao, Yonglong Tian, Hang Zhao, Mohammad Abu Alsheikh, Tianhong Li, Rumen Hristov, Zachary Kabelac, Dina Katabi, Antonio Torralba:
RF-based 3D skeletons. SIGCOMM 2018: 267-281
[c105]
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  - conf/socinfo/KocabeyOM0W18
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Enes Kocabey, Ferda Ofli, Javier Marín, Antonio Torralba, Ingmar Weber:
Using Computer Vision to Study the Effects of BMI on Online Popularity and Weight-Based Homophily. SocInfo (2) 2018: 129-138
[i53]
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  - journals/corr/abs-1804-00782
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Jiajun Wu, Tianfan Xue, Joseph J. Lim, Yuandong Tian, Joshua B. Tenenbaum, Antonio Torralba, William T. Freeman:
3D Interpreter Networks for Viewer-Centered Wireframe Modeling. CoRR abs/1804.00782 (2018)
[i52]
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  - journals/corr/abs-1804-01452
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David Harwath, Adrià Recasens, Dídac Surís, Galen Chuang, Antonio Torralba, James R. Glass:
Jointly Discovering Visual Objects and Spoken Words from Raw Sensory Input. CoRR abs/1804.01452 (2018)
[i51]
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  - journals/corr/abs-1804-03160
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Hang Zhao, Chuang Gan, Andrew Rouditchenko, Carl Vondrick, Josh H. McDermott, Antonio Torralba:
The Sound of Pixels. CoRR abs/1804.03160 (2018)
[i50]
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  - journals/corr/abs-1806-02891
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Bolei Zhou, Yiyou Sun, David Bau, Antonio Torralba:
Revisiting the Importance of Individual Units in CNNs via Ablation. CoRR abs/1806.02891 (2018)
[i49]
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Xavier Puig, Kevin Ra, Marko Boben, Jiaman Li, Tingwu Wang, Sanja Fidler, Antonio Torralba:
VirtualHome: Simulating Household Activities via Programs. CoRR abs/1806.07011 (2018)
[i48]
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  - journals/corr/abs-1808-01099
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Jimmy Wu, Bolei Zhou, Rebecca L. Russell, Vincent Kee, Syler Wagner, Mitchell Hebert, Antonio Torralba, David M. S. Johnson:
Real-Time Object Pose Estimation with Pose Interpreter Networks. CoRR abs/1808.01099 (2018)
[i47]
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  - journals/corr/abs-1808-09351
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Shunyu Yao, Tzu-Ming Harry Hsu, Jun-Yan Zhu, Jiajun Wu, Antonio Torralba, William T. Freeman, Joshua B. Tenenbaum:
3D-Aware Scene Manipulation via Inverse Graphics. CoRR abs/1808.09351 (2018)
[i46]
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Adrià Recasens, Petr Kellnhofer, Simon Stent, Wojciech Matusik, Antonio Torralba:
Learning to Zoom: a Saliency-Based Sampling Layer for Neural Networks. CoRR abs/1809.03355 (2018)
[i45]
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  - journals/corr/abs-1809-11169
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Yunzhu Li, Jiajun Wu, Jun-Yan Zhu, Joshua B. Tenenbaum, Antonio Torralba, Russ Tedrake:
Propagation Networks for Model-Based Control Under Partial Observation. CoRR abs/1809.11169 (2018)
[i44]
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  - journals/corr/abs-1810-01566
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Yunzhu Li, Jiajun Wu, Russ Tedrake, Joshua B. Tenenbaum, Antonio Torralba:
Learning Particle Dynamics for Manipulating Rigid Bodies, Deformable Objects, and Fluids. CoRR abs/1810.01566 (2018)
[i43]
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  - journals/corr/abs-1810-02338
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Kexin Yi, Jiajun Wu, Chuang Gan, Antonio Torralba, Pushmeet Kohli, Joshua B. Tenenbaum:
Neural-Symbolic VQA: Disentangling Reasoning from Vision and Language Understanding. CoRR abs/1810.02338 (2018)
[i42]
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  - journals/corr/abs-1810-06553
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Javier Marín, Aritro Biswas, Ferda Ofli, Nicholas Hynes, Amaia Salvador, Yusuf Aytar, Ingmar Weber, Antonio Torralba:
Recipe1M: A Dataset for Learning Cross-Modal Embeddings for Cooking Recipes and Food Images. CoRR abs/1810.06553 (2018)
[i41]
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  - journals/corr/abs-1811-10597
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David Bau, Jun-Yan Zhu, Hendrik Strobelt, Bolei Zhou, Joshua B. Tenenbaum, William T. Freeman, Antonio Torralba:
GAN Dissection: Visualizing and Understanding Generative Adversarial Networks. CoRR abs/1811.10597 (2018)
[i40]
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  - journals/corr/abs-1811-10959
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Tongzhou Wang, Jun-Yan Zhu, Antonio Torralba, Alexei A. Efros:
Dataset Distillation. CoRR abs/1811.10959 (2018)
[i39]
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  - journals/corr/abs-1812-02725
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Jun-Yan Zhu, Zhoutong Zhang, Chengkai Zhang, Jiajun Wu, Antonio Torralba, Joshua B. Tenenbaum, William T. Freeman:
Visual Object Networks: Image Generation with Disentangled 3D Representation. CoRR abs/1812.02725 (2018)
2017
[j25]
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  - journals/pami/GraumanLTZ17
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Kristen Grauman, Erik G. Learned-Miller, Antonio Torralba, Andrew Zisserman:
Guest Editorial: Best of CVPR 2015. IEEE Trans. Pattern Anal. Mach. Intell. 39(4): 625-626 (2017)
[c104]
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  - conf/aipr/LeH017
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Tiffany Le, Lei Hamilton, Antonio Torralba:
Benchmarking Convolutional Neural Networks for Object Segmentation and Pose Estimation. AIPR 2017: 1-10
[c103]
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Tiffany Le, Lei Hamilton, Antonio Torralba:
Benchmarking Convolutional Neural Networks for Object Segmentation and Pose Estimation. AIPR 2017: 1-10
[c102]
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  - conf/cvpr/Vondrick017
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Carl Vondrick, Antonio Torralba:
Generating the Future with Adversarial Transformers. CVPR 2017: 2992-3000
[c101]
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  - conf/cvpr/SalvadorHAMOW017
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Amaia Salvador, Nicholas Hynes, Yusuf Aytar, Javier Marín, Ferda Ofli, Ingmar Weber, Antonio Torralba:
Learning Cross-Modal Embeddings for Cooking Recipes and Food Images. CVPR 2017: 3068-3076
[c100]
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  - conf/cvpr/BauZKO017
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David Bau, Bolei Zhou, Aditya Khosla, Aude Oliva, Antonio Torralba:
Network Dissection: Quantifying Interpretability of Deep Visual Representations. CVPR 2017: 3319-3327
[c99]
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Bolei Zhou, Hang Zhao, Xavier Puig, Sanja Fidler, Adela Barriuso, Antonio Torralba:
Scene Parsing through ADE20K Dataset. CVPR 2017: 5122-5130
[c98]
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Adrià Recasens, Carl Vondrick, Aditya Khosla, Antonio Torralba:
Following Gaze in Video. ICCV 2017: 1444-1452
[c97]
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Hang Zhao, Xavier Puig, Bolei Zhou, Sanja Fidler, Antonio Torralba:
Open Vocabulary Scene Parsing. ICCV 2017: 2021-2029
[c96]
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Katherine L. Bouman, Vickie Ye, Adam B. Yedidia, Frédo Durand, Gregory W. Wornell, Antonio Torralba, William T. Freeman:
Turning Corners into Cameras: Principles and Methods. ICCV 2017: 2289-2297
[c95]
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Michael Chang, Tomer D. Ullman, Antonio Torralba, Joshua B. Tenenbaum:
A Compositional Object-Based Approach to Learning Physical Dynamics. ICLR (Poster) 2017
[c94]
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Antonio Torralba:
Learning to See by Hearing. ICPRAM 2017: 11
[c93]
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Enes Kocabey, Mustafa Camurcu, Ferda Ofli, Yusuf Aytar, Javier Marín, Antonio Torralba, Ingmar Weber:
Face-to-BMI: Using Computer Vision to Infer Body Mass Index on Social Media. ICWSM 2017: 572-575
[c92]
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Jay Ming Wong, Vincent Kee, Tiffany Le, Syler Wagner, Gian Luca Mariottini, Abraham Schneider, Lei Hamilton, Rahul Chipalkatty, Mitchell Hebert, David M. S. Johnson, Jimmy Wu, Bolei Zhou, Antonio Torralba:
SegICP: Integrated deep semantic segmentation and pose estimation. IROS 2017: 5784-5789
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Ferda Ofli, Yusuf Aytar, Ingmar Weber, Raggi al Hammouri, Antonio Torralba:
Is Saki #delicious?: The Food Perception Gap on Instagram and Its Relation to Health. WWW 2017: 509-518
[i38]
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Ferda Ofli, Yusuf Aytar, Ingmar Weber, Raggi al Hammouri, Antonio Torralba:
Is Saki #delicious? The Food Perception Gap on Instagram and Its Relation to Health. CoRR abs/1702.06318 (2017)
[i37]
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Jay Ming Wong, Vincent Kee, Tiffany Le, Syler Wagner, Gian Luca Mariottini, Abraham Schneider, Lei Hamilton, Rahul Chipalkatty, Mitchell Hebert, David M. S. Johnson, Jimmy Wu, Bolei Zhou, Antonio Torralba:
SegICP: Integrated Deep Semantic Segmentation and Pose Estimation. CoRR abs/1703.01661 (2017)
[i36]
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Enes Kocabey, Mustafa Camurcu, Ferda Ofli, Yusuf Aytar, Javier Marín, Antonio Torralba, Ingmar Weber:
Face-to-BMI: Using Computer Vision to Infer Body Mass Index on Social Media. CoRR abs/1703.03156 (2017)
[i35]
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Hang Zhao, Xavier Puig, Bolei Zhou, Sanja Fidler, Antonio Torralba:
Open Vocabulary Scene Parsing. CoRR abs/1703.08769 (2017)
[i34]
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David Bau, Bolei Zhou, Aditya Khosla, Aude Oliva, Antonio Torralba:
Network Dissection: Quantifying Interpretability of Deep Visual Representations. CoRR abs/1704.05796 (2017)
[i33]
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Yusuf Aytar, Carl Vondrick, Antonio Torralba:
See, Hear, and Read: Deep Aligned Representations. CoRR abs/1706.00932 (2017)
[i32]
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Bolei Zhou, David Bau, Aude Oliva, Antonio Torralba:
Interpreting Deep Visual Representations via Network Dissection. CoRR abs/1711.05611 (2017)
[i31]
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Bolei Zhou, Alex Andonian, Antonio Torralba:
Temporal Relational Reasoning in Videos. CoRR abs/1711.08496 (2017)
[i30]
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Andrew Owens, Jiajun Wu, Josh H. McDermott, William T. Freeman, Antonio Torralba:
Learning Sight from Sound: Ambient Sound Provides Supervision for Visual Learning. CoRR abs/1712.07271 (2017)
[i29]
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Ching-Yao Chuang, Jiaman Li, Antonio Torralba, Sanja Fidler:
Learning to Act Properly: Predicting and Explaining Affordances from Images. CoRR abs/1712.07576 (2017)
[i28]
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Hang Zhao, Zhicheng Yan, Heng Wang, Lorenzo Torresani, Antonio Torralba:
SLAC: A Sparsely Labeled Dataset for Action Classification and Localization. CoRR abs/1712.09374 (2017)
2016
[j24]
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Alyosha A. Efros, Antonio Torralba:
Guest Editorial: Big Data. Int. J. Comput. Vis. 119(1): 1-2 (2016)
[j23]
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Jianxiong Xiao, Krista A. Ehinger, James Hays, Antonio Torralba, Aude Oliva:
SUN Database: Exploring a Large Collection of Scene Categories. Int. J. Comput. Vis. 119(1): 3-22 (2016)
[j22]
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Carl Vondrick, Aditya Khosla, Hamed Pirsiavash, Tomasz Malisiewicz, Antonio Torralba:
Visualizing Object Detection Features. Int. J. Comput. Vis. 119(2): 145-158 (2016)
[c90]
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Carl Vondrick, Hamed Pirsiavash, Antonio Torralba:
Anticipating Visual Representations from Unlabeled Video. CVPR 2016: 98-106
[c89]
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Kyle Krafka, Aditya Khosla, Petr Kellnhofer, Harini Kannan, Suchendra M. Bhandarkar, Wojciech Matusik, Antonio Torralba:
Eye Tracking for Everyone. CVPR 2016: 2176-2184
[c88]
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Andrew Owens, Phillip Isola, Josh H. McDermott, Antonio Torralba, Edward H. Adelson, William T. Freeman:
Visually Indicated Sounds. CVPR 2016: 2405-2413
[c87]
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Bolei Zhou, Aditya Khosla, Àgata Lapedriza, Aude Oliva, Antonio Torralba:
Learning Deep Features for Discriminative Localization. CVPR 2016: 2921-2929
[c86]
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Lluís Castrejón, Yusuf Aytar, Carl Vondrick, Hamed Pirsiavash, Antonio Torralba:
Learning Aligned Cross-Modal Representations from Weakly Aligned Data. CVPR 2016: 2940-2949
[c85]
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Carl Vondrick, Deniz Oktay, Hamed Pirsiavash, Antonio Torralba:
Predicting Motivations of Actions by Leveraging Text. CVPR 2016: 2997-3005
[c84]
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Makarand Tapaswi, Yukun Zhu, Rainer Stiefelhagen, Antonio Torralba, Raquel Urtasun, Sanja Fidler:
MovieQA: Understanding Stories in Movies through Question-Answering. CVPR 2016: 4631-4640
[c83]
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Jiajun Wu, Tianfan Xue, Joseph J. Lim, Yuandong Tian, Joshua B. Tenenbaum, Antonio Torralba, William T. Freeman:
Single Image 3D Interpreter Network. ECCV (6) 2016: 365-382
[c82]
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Andrew Owens, Jiajun Wu, Josh H. McDermott, William T. Freeman, Antonio Torralba:
Ambient Sound Provides Supervision for Visual Learning. ECCV (1) 2016: 801-816
[c81]
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Zoya Bylinskii, Adrià Recasens, Ali Borji, Aude Oliva, Antonio Torralba, Frédo Durand:
Where Should Saliency Models Look Next? ECCV (5) 2016: 809-824
[c80]
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Carl Vondrick, Hamed Pirsiavash, Antonio Torralba:
Generating Videos with Scene Dynamics. NIPS 2016: 613-621
[c79]
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Yusuf Aytar, Carl Vondrick, Antonio Torralba:
SoundNet: Learning Sound Representations from Unlabeled Video. NIPS 2016: 892-900
[c78]
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David F. Harwath, Antonio Torralba, James R. Glass:
Unsupervised Learning of Spoken Language with Visual Context. NIPS 2016: 1858-1866
[i27]
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Radoslaw Martin Cichy, Aditya Khosla, Dimitrios Pantazis, Antonio Torralba, Aude Oliva:
Deep Neural Networks predict Hierarchical Spatio-temporal Cortical Dynamics of Human Visual Object Recognition. CoRR abs/1601.02970 (2016)
[i26]
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Zoya Bylinskii, Tilke Judd, Aude Oliva, Antonio Torralba, Frédo Durand:
What do different evaluation metrics tell us about saliency models? CoRR abs/1604.03605 (2016)
[i25]
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Jiajun Wu, Tianfan Xue, Joseph J. Lim, Yuandong Tian, Joshua B. Tenenbaum, Antonio Torralba, William T. Freeman:
Single Image 3D Interpreter Network. CoRR abs/1604.08685 (2016)
[i24]
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Kyle Krafka, Aditya Khosla, Petr Kellnhofer, Harini Kannan, Suchendra M. Bhandarkar, Wojciech Matusik, Antonio Torralba:
Eye Tracking for Everyone. CoRR abs/1606.05814 (2016)
[i23]
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Lluís Castrejón, Yusuf Aytar, Carl Vondrick, Hamed Pirsiavash, Antonio Torralba:
Learning Aligned Cross-Modal Representations from Weakly Aligned Data. CoRR abs/1607.07295 (2016)
[i22]
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Bolei Zhou, Hang Zhao, Xavier Puig, Sanja Fidler, Adela Barriuso, Antonio Torralba:
Semantic Understanding of Scenes through the ADE20K Dataset. CoRR abs/1608.05442 (2016)
[i21]
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Andrew Owens, Jiajun Wu, Josh H. McDermott, William T. Freeman, Antonio Torralba:
Ambient Sound Provides Supervision for Visual Learning. CoRR abs/1608.07017 (2016)
[i20]
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Carl Vondrick, Hamed Pirsiavash, Antonio Torralba:
Generating Videos with Scene Dynamics. CoRR abs/1609.02612 (2016)
[i19]
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Bolei Zhou, Aditya Khosla, Àgata Lapedriza, Antonio Torralba, Aude Oliva:
Places: An Image Database for Deep Scene Understanding. CoRR abs/1610.02055 (2016)
[i18]
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Yusuf Aytar, Carl Vondrick, Antonio Torralba:
SoundNet: Learning Sound Representations from Unlabeled Video. CoRR abs/1610.09001 (2016)
[i17]
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Yusuf Aytar, Lluís Castrejón, Carl Vondrick, Hamed Pirsiavash, Antonio Torralba:
Cross-Modal Scene Networks. CoRR abs/1610.09003 (2016)
[i16]
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Michael B. Chang, Tomer D. Ullman, Antonio Torralba, Joshua B. Tenenbaum:
A Compositional Object-Based Approach to Learning Physical Dynamics. CoRR abs/1612.00341 (2016)
[i15]
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Benjamin Eysenbach, Carl Vondrick, Antonio Torralba:
Who is Mistaken? CoRR abs/1612.01175 (2016)
[i14]
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Adrià Recasens, Carl Vondrick, Aditya Khosla, Antonio Torralba:
Following Gaze Across Views. CoRR abs/1612.03094 (2016)
2015
[c77]
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Yukun Zhu, Ryan Kiros, Richard S. Zemel, Ruslan Salakhutdinov, Raquel Urtasun, Antonio Torralba, Sanja Fidler:
Aligning Books and Movies: Towards Story-Like Visual Explanations by Watching Movies and Reading Books. ICCV 2015: 19-27
[c76]
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Aditya Khosla, Akhil S. Raju, Antonio Torralba, Aude Oliva:
Understanding and Predicting Image Memorability at a Large Scale. ICCV 2015: 2390-2398
[c75]
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Adrià Recasens, Aditya Khosla, Carl Vondrick, Antonio Torralba:
Where are they looking? NIPS 2015: 199-207
[c74]
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Carl Vondrick, Hamed Pirsiavash, Aude Oliva, Antonio Torralba:
Learning visual biases from human imagination. NIPS 2015: 289-297
[c73]
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Ryan Kiros, Yukun Zhu, Ruslan Salakhutdinov, Richard S. Zemel, Raquel Urtasun, Antonio Torralba, Sanja Fidler:
Skip-Thought Vectors. NIPS 2015: 3294-3302
[c72]
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Bolei Zhou, Aditya Khosla, Àgata Lapedriza, Aude Oliva, Antonio Torralba:
Object Detectors Emerge in Deep Scene CNNs. ICLR 2015
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Carl Vondrick, Aditya Khosla, Hamed Pirsiavash, Tomasz Malisiewicz, Antonio Torralba:
Visualizing Object Detection Features. CoRR abs/1502.05461 (2015)
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Carl Vondrick, Hamed Pirsiavash, Antonio Torralba:
Anticipating the future by watching unlabeled video. CoRR abs/1504.08023 (2015)
[i11]
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Yukun Zhu, Ryan Kiros, Richard S. Zemel, Ruslan Salakhutdinov, Raquel Urtasun, Antonio Torralba, Sanja Fidler:
Aligning Books and Movies: Towards Story-like Visual Explanations by Watching Movies and Reading Books. CoRR abs/1506.06724 (2015)
[i10]
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Ryan Kiros, Yukun Zhu, Ruslan Salakhutdinov, Richard S. Zemel, Antonio Torralba, Raquel Urtasun, Sanja Fidler:
Skip-Thought Vectors. CoRR abs/1506.06726 (2015)
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Donglai Wei, Bolei Zhou, Antonio Torralba, William T. Freeman:
Understanding Intra-Class Knowledge Inside CNN. CoRR abs/1507.02379 (2015)
[i8]
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Makarand Tapaswi, Yukun Zhu, Rainer Stiefelhagen, Antonio Torralba, Raquel Urtasun, Sanja Fidler:
MovieQA: Understanding Stories in Movies through Question-Answering. CoRR abs/1512.02902 (2015)
[i7]
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Bolei Zhou, Aditya Khosla, Àgata Lapedriza, Aude Oliva, Antonio Torralba:
Learning Deep Features for Discriminative Localization. CoRR abs/1512.04150 (2015)
[i6]
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Andrew Owens, Phillip Isola, Josh H. McDermott, Antonio Torralba, Edward H. Adelson, William T. Freeman:
Visually Indicated Sounds. CoRR abs/1512.08512 (2015)
2014
[j21]
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Antonio Torralba, William T. Freeman:
Accidental Pinhole and Pinspeck Cameras - Revealing the Scene Outside the Picture. Int. J. Comput. Vis. 110(2): 92-112 (2014)
[j20]
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Phillip Isola, Jianxiong Xiao, Devi Parikh, Antonio Torralba, Aude Oliva:
What Makes a Photograph Memorable? IEEE Trans. Pattern Anal. Mach. Intell. 36(7): 1469-1482 (2014)
[c71]
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Aditya Khosla, Byoungkwon An, Joseph J. Lim, Antonio Torralba:
Looking Beyond the Visible Scene. CVPR 2014: 3710-3717
[c70]
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Joseph J. Lim, Aditya Khosla, Antonio Torralba:
FPM: Fine Pose Parts-Based Model with 3D CAD Models. ECCV (6) 2014: 478-493
[c69]
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Bolei Zhou, Liu Liu, Aude Oliva, Antonio Torralba:
Recognizing City Identity via Attribute Analysis of Geo-tagged Images. ECCV (3) 2014: 519-534
[c68]
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Hamed Pirsiavash, Carl Vondrick, Antonio Torralba:
Assessing the Quality of Actions. ECCV (6) 2014: 556-571
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Chikao Tsuchiya, Tomasz Malisiewicz, Antonio Torralba:
Exemplar Network: A Generalized Mixture Model. ICPR 2014: 598-603
[c66]
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Bolei Zhou, Àgata Lapedriza, Jianxiong Xiao, Antonio Torralba, Aude Oliva:
Learning Deep Features for Scene Recognition using Places Database. NIPS 2014: 487-495
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Nathan Frey, Antonio Torralba, Christopher Stauffer:
Unsupervised Non-parametric Geospatial Modeling from Ground Imagery. WACV 2014: 698-705
[i5]
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Hamed Pirsiavash, Carl Vondrick, Antonio Torralba:
Inferring the Why in Images. CoRR abs/1406.5472 (2014)
[i4]
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Carl Vondrick, Hamed Pirsiavash, Aude Oliva, Antonio Torralba:
Acquiring Visual Classifiers from Human Imagination. CoRR abs/1410.4627 (2014)
2013
[j19]
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Ruslan Salakhutdinov, Joshua B. Tenenbaum, Antonio Torralba:
Learning with Hierarchical-Deep Models. IEEE Trans. Pattern Anal. Mach. Intell. 35(8): 1958-1971 (2013)
[j18]
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Albert Torrent, Xavier Lladó, Jordi Freixenet, Antonio Torralba:
A boosting approach for the simultaneous detection and segmentation of generic objects. Pattern Recognit. Lett. 34(13): 1490-1498 (2013)
[c64]
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Carl Vondrick, Aditya Khosla, Tomasz Malisiewicz, Antonio Torralba:
HOGgles: Visualizing Object Detection Features. ICCV 2013: 1-8
[c63]
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Andrew Owens, Jianxiong Xiao, Antonio Torralba, William T. Freeman:
Shape Anchors for Data-Driven Multi-view Reconstruction. ICCV 2013: 33-40
[c62]
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Jianxiong Xiao, Andrew Owens, Antonio Torralba:
SUN3D: A Database of Big Spaces Reconstructed Using SfM and Object Labels. ICCV 2013: 1625-1632
[c61]
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Joseph J. Lim, Hamed Pirsiavash, Antonio Torralba:
Parsing IKEA Objects: Fine Pose Estimation. ICCV 2013: 2992-2999
[c60]
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Aditya Khosla, Wilma A. Bainbridge, Antonio Torralba, Aude Oliva:
Modifying the Memorability of Face Photographs. ICCV 2013: 3200-3207
[i3]
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Àgata Lapedriza, Hamed Pirsiavash, Zoya Bylinskii, Antonio Torralba:
Are all training examples equally valuable? CoRR abs/1311.6510 (2013)
2012
[j17]
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Myung Jin Choi, Antonio Torralba, Alan S. Willsky:
A Tree-Based Context Model for Object Recognition. IEEE Trans. Pattern Anal. Mach. Intell. 34(2): 240-252 (2012)
[j16]
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Myung Jin Choi, Antonio Torralba, Alan S. Willsky:
Context models and out-of-context objects. Pattern Recognit. Lett. 33(7): 853-862 (2012)
[c59]
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Antonio Torralba, William T. Freeman:
Accidental pinhole and pinspeck cameras: Revealing the scene outside the picture. CVPR 2012: 374-381
[c58]
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Jianxiong Xiao, Krista A. Ehinger, Aude Oliva, Antonio Torralba:
Recognizing scene viewpoint using panoramic place representation. CVPR 2012: 2695-2702
[c57]
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Aditya Khosla, Tinghui Zhou, Tomasz Malisiewicz, Alexei A. Efros, Antonio Torralba:
Undoing the Damage of Dataset Bias. ECCV (1) 2012: 158-171
[c56]
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Yair Weiss, Rob Fergus, Antonio Torralba:
Multidimensional Spectral Hashing. ECCV (5) 2012: 340-353
[c55]
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  - conf/ecir/QuattoniCT12
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Ariadna Quattoni, Xavier Carreras, Antonio Torralba:
A Latent Variable Ranking Model for Content-Based Retrieval. ECIR 2012: 340-351
[c54]
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Aditya Khosla, Jianxiong Xiao, Antonio Torralba, Aude Oliva:
Memorability of Image Regions. NIPS 2012: 305-313
[c53]
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Jianxiong Xiao, Bryan C. Russell, Antonio Torralba:
Localizing 3D cuboids in single-view images. NIPS 2012: 755-763
[c52]
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Aditya Khosla, Jianxiong Xiao, Phillip Isola, Antonio Torralba, Aude Oliva:
Image memorability and visual inception. SIGGRAPH Asia Technical Briefs 2012: 35:1-35:4
[c51]
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Jianxiong Xiao, Bryan C. Russell, James Hays, Krista A. Ehinger, Aude Oliva, Antonio Torralba:
Basic level scene understanding: from labels to structure and beyond. SIGGRAPH Asia Technical Briefs 2012: 36:1-36:4
[c50]
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Ruslan Salakhutdinov, Joshua B. Tenenbaum, Antonio Torralba:
One-Shot Learning with a Hierarchical Nonparametric Bayesian Model. ICML Unsupervised and Transfer Learning 2012: 195-206
[i2]
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Adela Barriuso, Antonio Torralba:
Notes on image annotation. CoRR abs/1210.3448 (2012)
[i1]
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Carl Vondrick, Aditya Khosla, Tomasz Malisiewicz, Antonio Torralba:
Inverting and Visualizing Features for Object Detection. CoRR abs/1212.2278 (2012)
2011
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Ce Liu, Jenny Yuen, Antonio Torralba:
SIFT Flow: Dense Correspondence across Scenes and Its Applications. IEEE Trans. Pattern Anal. Mach. Intell. 33(5): 978-994 (2011)
[j14]
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Ce Liu, Jenny Yuen, Antonio Torralba:
Nonparametric Scene Parsing via Label Transfer. IEEE Trans. Pattern Anal. Mach. Intell. 33(12): 2368-2382 (2011)
[c49]
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Sangmin Oh, Anthony Hoogs, A. G. Amitha Perera, Naresh P. Cuntoor, Chia-Chih Chen, Jong Taek Lee, Saurajit Mukherjee, J. K. Aggarwal, Hyungtae Lee, Larry S. Davis, Eran Swears, Xiaoyang Wang, Qiang Ji, Kishore K. Reddy, Mubarak Shah, Carl Vondrick, Hamed Pirsiavash, Deva Ramanan, Jenny Yuen, Antonio Torralba, Bi Song, Anesco Fong, Amit K. Roy-Chowdhury, Mita Desai:
AVSS 2011 demo session: A large-scale benchmark dataset for event recognition in surveillance video. AVSS 2011: 527-528
[c48]
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Krista A. Ehinger, Jianxiong Xiao, Antonio Torralba, Aude Oliva:
Estimating scene typicality from human ratings and image features. CogSci 2011
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Phillip Isola, Jianxiong Xiao, Antonio Torralba, Aude Oliva:
What makes an image memorable? CVPR 2011: 145-152
[c46]
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Ruslan Salakhutdinov, Antonio Torralba, Joshua B. Tenenbaum:
Learning to share visual appearance for multiclass object detection. CVPR 2011: 1481-1488
[c45]
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Antonio Torralba, Alexei A. Efros:
Unbiased look at dataset bias. CVPR 2011: 1521-1528
[c44]
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Sangmin Oh, Anthony Hoogs, A. G. Amitha Perera, Naresh P. Cuntoor, Chia-Chih Chen, Jong Taek Lee, Saurajit Mukherjee, J. K. Aggarwal, Hyungtae Lee, Larry S. Davis, Eran Swears, Xiaoyang Wang, Qiang Ji, Kishore K. Reddy, Mubarak Shah, Carl Vondrick, Hamed Pirsiavash, Deva Ramanan, Jenny Yuen, Antonio Torralba, Bi Song, Anesco Fong, Amit K. Roy-Chowdhury, Mita Desai:
A large-scale benchmark dataset for event recognition in surveillance video. CVPR 2011: 3153-3160
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Biliana Kaneva, Antonio Torralba, William T. Freeman:
Evaluation of image features using a photorealistic virtual world. ICCV 2011: 2282-2289
[c42]
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Albert Torrent, Xavier Lladó, Jordi Freixenet, Antonio Torralba:
Simultaneous detection and segmentation for generic objects. ICIP 2011: 653-656
[c41]
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Joseph J. Lim, Ruslan Salakhutdinov, Antonio Torralba:
Transfer Learning by Borrowing Examples for Multiclass Object Detection. NIPS 2011: 118-126
[c40]
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Ruslan Salakhutdinov, Joshua B. Tenenbaum, Antonio Torralba:
Learning to Learn with Compound HD Models. NIPS 2011: 2061-2069
[c39]
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Phillip Isola, Devi Parikh, Antonio Torralba, Aude Oliva:
Understanding the Intrinsic Memorability of Images. NIPS 2011: 2429-2437
2010
[j13]
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Antonio Torralba, Kevin P. Murphy, William T. Freeman:
Using the forest to see the trees: exploiting context for visual object detection and localization. Commun. ACM 53(3): 107-114 (2010)
[j12]
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Biliana Kaneva, Josef Sivic, Antonio Torralba, Shai Avidan, William T. Freeman:
Infinite Images: Creating and Exploring a Large Photorealistic Virtual Space. Proc. IEEE 98(8): 1391-1407 (2010)
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Antonio Torralba, Bryan C. Russell, Jenny Yuen:
LabelMe: Online Image Annotation and Applications. Proc. IEEE 98(8): 1467-1484 (2010)
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Myung Jin Choi, Joseph J. Lim, Antonio Torralba, Alan S. Willsky:
Exploiting hierarchical context on a large database of object categories. CVPR 2010: 129-136
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Long Zhu, Yuanhao Chen, Antonio Torralba, William T. Freeman, Alan L. Yuille:
Part and appearance sharing: Recursive Compositional Models for multi-view. CVPR 2010: 1919-1926
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Jianxiong Xiao, James Hays, Krista A. Ehinger, Aude Oliva, Antonio Torralba:
SUN database: Large-scale scene recognition from abbey to zoo. CVPR 2010: 3485-3492
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Gunhee Kim, Eric P. Xing, Antonio Torralba:
Modeling and Analysis of Dynamic Behaviors of Web Image Collections. ECCV (5) 2010: 85-98
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Jenny Yuen, Antonio Torralba:
A Data-Driven Approach for Event Prediction. ECCV (2) 2010: 707-720
[c33]
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Robert Fergus, Hector Bernal, Yair Weiss, Antonio Torralba:
Semantic Label Sharing for Learning with Many Categories. ECCV (1) 2010: 762-775

2000 – 2009

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2009
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Qiang Ji, Jiebo Luo, Dimitris N. Metaxas, Antonio Torralba, Thomas S. Huang, Erik B. Sudderth:
Guest Editors' Introduction to the Special Section on Probabilistic Graphical Models. IEEE Trans. Pattern Anal. Mach. Intell. 31(10): 1729-1732 (2009)
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Ariadna Quattoni, Antonio Torralba:
Recognizing indoor scenes. CVPR 2009: 413-420
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Ce Liu, Jenny Yuen, Antonio Torralba:
Nonparametric scene parsing: Label transfer via dense scene alignment. CVPR 2009: 1972-1979
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Bryan C. Russell, Antonio Torralba:
Building a database of 3D scenes from user annotations. CVPR 2009: 2711-2718
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Jenny Yuen, Bryan C. Russell, Ce Liu, Antonio Torralba:
LabelMe video: Building a video database with human annotations. ICCV 2009: 1451-1458
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Tilke Judd, Krista A. Ehinger, Frédo Durand, Antonio Torralba:
Learning to predict where humans look. ICCV 2009: 2106-2113
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Rob Fergus, Yair Weiss, Antonio Torralba:
Semi-Supervised Learning in Gigantic Image Collections. NIPS 2009: 522-530
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Gunhee Kim, Antonio Torralba:
Unsupervised Detection of Regions of Interest Using Iterative Link Analysis. NIPS 2009: 961-969
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Long Zhu, Yuanhao Chen, Bill Freeman, Antonio Torralba:
Nonparametric Bayesian Texture Learning and Synthesis. NIPS 2009: 2313-2321
2008
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Bryan C. Russell, Antonio Torralba, Kevin P. Murphy, William T. Freeman:
LabelMe: A Database and Web-Based Tool for Image Annotation. Int. J. Comput. Vis. 77(1-3): 157-173 (2008)
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Erik B. Sudderth, Antonio Torralba, William T. Freeman, Alan S. Willsky:
Describing Visual Scenes Using Transformed Objects and Parts. Int. J. Comput. Vis. 77(1-3): 291-330 (2008)
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Antonio Torralba, Robert Fergus, William T. Freeman:
80 Million Tiny Images: A Large Data Set for Nonparametric Object and Scene Recognition. IEEE Trans. Pattern Anal. Mach. Intell. 30(11): 1958-1970 (2008)
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Josef Sivic, Biliana Kaneva, Antonio Torralba, Shai Avidan, William T. Freeman:
Creating and exploring a large photorealistic virtual space. CVPR Workshops 2008: 1-8
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Antonio Torralba, Robert Fergus, Yair Weiss:
Small codes and large image databases for recognition. CVPR 2008
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Ce Liu, Jenny Yuen, Antonio Torralba, Josef Sivic, William T. Freeman:
SIFT Flow: Dense Correspondence across Different Scenes. ECCV (3) 2008: 28-42
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Yair Weiss, Antonio Torralba, Robert Fergus:
Spectral Hashing. NIPS 2008: 1753-1760
2007
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Antonio Torralba, Kevin P. Murphy, William T. Freeman:
Sharing Visual Features for Multiclass and Multiview Object Detection. IEEE Trans. Pattern Anal. Mach. Intell. 29(5): 854-869 (2007)
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Bryan C. Russell, Antonio Torralba, Ce Liu, Robert Fergus, William T. Freeman:
Object Recognition by Scene Alignment. NIPS 2007: 1241-1248
2006
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Aude Oliva, Antonio Torralba, Philippe G. Schyns:
Hybrid images. ACM Trans. Graph. 25(3): 527-532 (2006)
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Jean Ponce, Tamara L. Berg, Mark Everingham, David A. Forsyth, Martial Hebert, Svetlana Lazebnik, Marcin Marszalek, Cordelia Schmid, Bryan C. Russell, Antonio Torralba, Christopher K. I. Williams, Jianguo Zhang, Andrew Zisserman:
Dataset Issues in Object Recognition. Toward Category-Level Object Recognition 2006: 29-48
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Antonio Torralba, Kevin P. Murphy, William T. Freeman:
Shared Features for Multiclass Object Detection. Toward Category-Level Object Recognition 2006: 345-361
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Kevin P. Murphy, Antonio Torralba, Daniel Eaton, William T. Freeman:
Object Detection and Localization Using Local and Global Features. Toward Category-Level Object Recognition 2006: 382-400
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Erik B. Sudderth, Antonio Torralba, William T. Freeman, Alan S. Willsky:
Depth from Familiar Objects: A Hierarchical Model for 3D Scenes. CVPR (2) 2006: 2410-2417
2005
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Ce Liu, Antonio Torralba, William T. Freeman, Frédo Durand, Edward H. Adelson:
Motion magnification. ACM Trans. Graph. 24(3): 519-526 (2005)
[c15]
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Barbara Hidalgo-Sotelo, Aude Oliva, Antonio Torralba:
Human Learning of Contextual Priors for Object Search: Where does the time go? CVPR Workshops 2005: 86
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Srinivas Ravela, Antonio Torralba, William T. Freeman:
An Ensemble Prior of Image Structure for Cross-Modal Inference. ICCV 2005: 871-876
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Erik B. Sudderth, Antonio Torralba, William T. Freeman, Alan S. Willsky:
Learning Hierarchical Models of Scenes, Objects, and Parts. ICCV 2005: 1331-1338
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Erik B. Sudderth, Antonio Torralba, William T. Freeman, Alan S. Willsky:
Describing Visual Scenes using Transformed Dirichlet Processes. NIPS 2005: 1297-1304
2004
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Antonio Torralba, Kevin P. Murphy, William T. Freeman:
Sharing Features: Efficient Boosting Procedures for Multiclass Object Detection. CVPR (2) 2004: 762-769
[c10]
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Antonio Torralba, Kevin P. Murphy, William T. Freeman:
Contextual Models for Object Detection Using Boosted Random Fields. NIPS 2004: 1401-1408
2003
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Antonio Torralba:
Contextual Priming for Object Detection. Int. J. Comput. Vis. 53(2): 169-191 (2003)
[c9]
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Antonio Torralba, William T. Freeman:
Properties and Applications of Shape Recipes. CVPR (2) 2003: 383-390
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Antonio Torralba, Kevin P. Murphy, William T. Freeman, Mark A. Rubin:
Context-based vision system for place and object recognition. ICCV 2003: 273-280
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Aude Oliva, Antonio Torralba, Monica S. Castelhano, John M. Henderson:
Top-down control of visual attention in object detection. ICIP (1) 2003: 253-256
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Kevin P. Murphy, Antonio Torralba, William T. Freeman:
Using the Forest to See the Trees: A Graphical Model Relating Features, Objects, and Scenes. NIPS 2003: 1499-1506
2002
[j2]
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Antonio Torralba, Aude Oliva:
Depth Estimation from Image Structure. IEEE Trans. Pattern Anal. Mach. Intell. 24(9): 1226-1238 (2002)
[c5]
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Aude Oliva, Antonio Torralba:
Scene-Centered Description from Spatial Envelope Properties. Biologically Motivated Computer Vision 2002: 263-272
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William T. Freeman, Antonio Torralba:
Shape Recipes: Scene Representations that Refer to the Image. NIPS 2002: 1335-1342
2001
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Aude Oliva, Antonio Torralba:
Modeling the Shape of the Scene: A Holistic Representation of the Spatial Envelope. Int. J. Comput. Vis. 42(3): 145-175 (2001)
[c3]
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Antonio Torralba, Pawan Sinha:
Statistical Context Priming for Object Detection. ICCV 2001: 763-770
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Antonio Torralba:
Contextual Modulation of Target Saliency. NIPS 2001: 1303-1310

1990 – 1999

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1999
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Antonio Torralba, Aude Oliva:
Semantic Organization of Scenes using Discriminant Structural Templates. ICCV 1999: 1253

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