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Bill Freeman
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- affiliation: MIT, Cambridge, MA, USA
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2020 – today
- 2023
[j71]Prafull Sharma
, Julien Philip, Michaël Gharbi, Bill Freeman, Frédo Durand, Valentin Deschaintre:
Materialistic: Selecting Similar Materials in Images. ACM Trans. Graph. 42(4): 154:1-154:14 (2023)- [c184]Arjun R. Akula, Brendan Driscoll, Pradyumna Narayana, Soravit Changpinyo, Zhiwei Jia, Suyash Damle, Garima Pruthi, Sugato Basu, Leonidas J. Guibas, William T. Freeman, Yuanzhen Li, Varun Jampani:
MetaCLUE: Towards Comprehensive Visual Metaphors Research. CVPR 2023: 23201-23211 - [c183]Anne Harrington, Vasha DuTell, Ayush Tewari, Mark Hamilton, Simon Stent, Ruth Rosenholtz, William T. Freeman:
Exploring perceptual straightness in learned visual representations. ICLR 2023 - [c182]Prafull Sharma, Ayush Tewari, Yilun Du, Sergey Zakharov, Rares Andrei Ambrus, Adrien Gaidon, William T. Freeman, Frédo Durand, Joshua B. Tenenbaum, Vincent Sitzmann:
Neural Groundplans: Persistent Neural Scene Representations from a Single Image. ICLR 2023 - [c181]Huiwen Chang, Han Zhang, Jarred Barber, Aaron Maschinot, José Lezama, Lu Jiang, Ming-Hsuan Yang, Kevin Patrick Murphy, William T. Freeman, Michael Rubinstein, Yuanzhen Li, Dilip Krishnan:
Muse: Text-To-Image Generation via Masked Generative Transformers. ICML 2023: 4055-4075 - [c180]Safa C. Medin, Amir Weiss, Frédo Durand, William T. Freeman, Gregory W. Wornell:
Can Shadows Reveal Biometric Informationƒ. WACV 2023: 869-879 - [i88]Huiwen Chang, Han Zhang, Jarred Barber, Aaron Maschinot, José Lezama, Lu Jiang, Ming-Hsuan Yang, Kevin Murphy, William T. Freeman, Michael Rubinstein, Yuanzhen Li, Dilip Krishnan:
Muse: Text-To-Image Generation via Masked Generative Transformers. CoRR abs/2301.00704 (2023) - [i87]Berthy T. Feng, Jamie Smith, Michael Rubinstein, Huiwen Chang, Katherine L. Bouman, William T. Freeman:
Score-Based Diffusion Models as Principled Priors for Inverse Imaging. CoRR abs/2304.11751 (2023) - [i86]Guangxuan Xiao, Tianwei Yin, William T. Freeman, Frédo Durand, Song Han:
FastComposer: Tuning-Free Multi-Subject Image Generation with Localized Attention. CoRR abs/2305.10431 (2023) - [i85]Prafull Sharma, Julien Philip, Michaël Gharbi, William T. Freeman, Frédo Durand, Valentin Deschaintre:
Materialistic: Selecting Similar Materials in Images. CoRR abs/2305.13291 (2023) - [i84]Miriam Cha, Gregory Angelides, Mark Hamilton, Andy Soszynski, Brandon Swenson, Nathaniel Maidel, Phillip Isola, Taylor Perron, Bill Freeman:
MultiEarth 2023 - Multimodal Learning for Earth and Environment Workshop and Challenge. CoRR abs/2306.04738 (2023) - [i83]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) - [i82]Ayush Tewari, Tianwei Yin, George Cazenavette, Semon Rezchikov, Joshua B. Tenenbaum, Frédo Durand, William T. Freeman, Vincent Sitzmann:
Diffusion with Forward Models: Solving Stochastic Inverse Problems Without Direct Supervision. CoRR abs/2306.11719 (2023) - [i81]Brandon Y. Feng, Hadi Alzayer, Michael Rubinstein, William T. Freeman, Jia-Bin Huang:
3D Motion Magnification: Visualizing Subtle Motions with Time Varying Radiance Fields. CoRR abs/2308.03757 (2023) - [i80]Brendan Walsh, Mark Hamilton, Greg Newby, Xi Wang, Serena Ruan, Sheng Zhao, Lei He, Shaofei Zhang, Eric Dettinger, William T. Freeman, Markus Weimer:
Large-Scale Automatic Audiobook Creation. CoRR abs/2309.03926 (2023) - 2022
- [c179]Huiwen Chang, Han Zhang, Lu Jiang, Ce Liu, William T. Freeman:
MaskGIT: Masked Generative Image Transformer. CVPR 2022: 11305-11315 - [c178]Zhoutong Zhang, Forrester Cole, Zhengqi Li, Michael Rubinstein, Noah Snavely, William T. Freeman:
Structure and Motion from Casual Videos. ECCV (33) 2022: 20-37 - [c177]Deqing Sun, Charles Herrmann, Fitsum A. Reda, Michael Rubinstein, David J. Fleet, William T. Freeman:
Disentangling Architecture and Training for Optical Flow. ECCV (22) 2022: 165-182 - [c176]Mark Hamilton, Scott M. Lundberg, Stephanie Fu, Lei Zhang, William T. Freeman:
Axiomatic Explanations for Visual Search, Retrieval, and Similarity Learning. ICLR 2022 - [c175]Mark Hamilton, Zhoutong Zhang, Bharath Hariharan, Noah Snavely, William T. Freeman:
Unsupervised Semantic Segmentation by Distilling Feature Correspondences. ICLR 2022 - [c174]Erika Lu, Forrester Cole, Weidi Xie, Tali Dekel, Bill Freeman, Andrew Zisserman, Michael Rubinstein:
Associating Objects and Their Effects in Video through Coordination Games. NeurIPS 2022 - [i79]Huiwen Chang, Han Zhang, Lu Jiang, Ce Liu, William T. Freeman:
MaskGIT: Masked Generative Image Transformer. CoRR abs/2202.04200 (2022) - [i78]Mark Hamilton, Zhoutong Zhang, Bharath Hariharan, Noah Snavely, William T. Freeman:
Unsupervised Semantic Segmentation by Distilling Feature Correspondences. CoRR abs/2203.08414 (2022) - [i77]Deqing Sun, Charles Herrmann, Fitsum A. Reda, Michael Rubinstein, David J. Fleet, William T. Freeman:
What Makes RAFT Better Than PWC-Net? CoRR abs/2203.10712 (2022) - [i76]Miriam Cha, Kuan Wei Huang, Morgan Schmidt, Gregory Angelides, Mark Hamilton, Sam Goldberg, Armando Cabrera, Phillip Isola, Taylor Perron, Bill Freeman, Yen-Chen Lin, Brandon Swenson, Jean E. Piou:
MultiEarth 2022 - Multimodal Learning for Earth and Environment Workshop and Challenge. CoRR abs/2204.07649 (2022) - [i75]Vijay Gadepally, Gregory Angelides, Andrei Barbu, Andrew Bowne, Laura J. Brattain, Tamara Broderick, Armando Cabrera, Glenn Carl, Ronisha Carter, Miriam Cha, Emilie Cowen, Jesse Cummings, Bill Freeman, James R. Glass, Sam Goldberg, Mark Hamilton, Thomas Heldt, Kuan Wei Huang, Phillip Isola, Boris Katz, Jamie Koerner, Yen-Chen Lin, David Mayo, Kyle McAlpin, Taylor Perron, Jean E. Piou, Hrishikesh M. Rao, Hayley Reynolds, Kaira Samuel, Siddharth Samsi, Morgan Schmidt, Leslie Shing, Olga Simek, Brandon Swenson, Vivienne Sze, Jonathan Taylor, Paul Tylkin, Mark Veillette, Matthew L. Weiss, Allan B. Wollaber, Sophia Yuditskaya, Jeremy Kepner:
Developing a Series of AI Challenges for the United States Department of the Air Force. CoRR abs/2207.07033 (2022) - [i74]Prafull Sharma, Ayush Tewari, Yilun Du, Sergey Zakharov, Rares Ambrus, Adrien Gaidon, William T. Freeman, Frédo Durand, Joshua B. Tenenbaum, Vincent Sitzmann:
Seeing 3D Objects in a Single Image via Self-Supervised Static-Dynamic Disentanglement. CoRR abs/2207.11232 (2022) - [i73]Safa C. Medin, Amir Weiss, Frédo Durand, William T. Freeman, Gregory W. Wornell:
Can Shadows Reveal Biometric Information? CoRR abs/2209.10077 (2022) - [i72]Arjun R. Akula, Brendan Driscoll, Pradyumna Narayana, Soravit Changpinyo, Zhiwei Jia, Suyash Damle, Garima Pruthi, Sugato Basu, Leonidas J. Guibas, William T. Freeman, Yuanzhen Li, Varun Jampani:
MetaCLUE: Towards Comprehensive Visual Metaphors Research. CoRR abs/2212.09898 (2022) - 2021
- [j70]Zhengqi Li, Tali Dekel, Forrester Cole, Richard Tucker, Noah Snavely, Ce Liu, William T. Freeman:
MannequinChallenge: Learning the Depths of Moving People by Watching Frozen People. IEEE Trans. Pattern Anal. Mach. Intell. 43(12): 4229-4241 (2021) - [j69]Sheila W. Seidel, John Murray-Bruce, Yanting Ma, Christopher C. Yu, William T. Freeman, Vivek K. Goyal:
Two-Dimensional Non-Line-of-Sight Scene Estimation From a Single Edge Occluder. IEEE Trans. Computational Imaging 7: 58-72 (2021) - [j68]Zhoutong Zhang, Forrester Cole, Richard Tucker, William T. Freeman, Tali Dekel:
Consistent depth of moving objects in video. ACM Trans. Graph. 40(4): 148:1-148:12 (2021) - [j67]Yuanming Hu, Jiafeng Liu, Xuanda Yang, Mingkuan Xu, Ye Kuang, Weiwei Xu, Qiang Dai, William T. Freeman, Frédo Durand:
QuanTaichi: a compiler for quantized simulations. ACM Trans. Graph. 40(4): 182:1-182:16 (2021) - [j66]Xiuming Zhang, Pratul P. Srinivasan, Boyang Deng, Paul E. Debevec, William T. Freeman, Jonathan T. Barron:
NeRFactor: neural factorization of shape and reflectance under an unknown illumination. ACM Trans. Graph. 40(6): 237:1-237:18 (2021) - [c173]Erika Lu, Forrester Cole, Tali Dekel, Andrew Zisserman, William T. Freeman, Michael Rubinstein:
Omnimatte: Associating Objects and Their Effects in Video. CVPR 2021: 4507-4515 - [c172]Deqing Sun, Daniel Vlasic, Charles Herrmann, Varun Jampani, Michael Krainin, Huiwen Chang, Ramin Zabih, William T. Freeman, Ce Liu:
AutoFlow: Learning a Better Training Set for Optical Flow. CVPR 2021: 10093-10102 - [c171]Andrei Zanfir, Eduard Gabriel Bazavan, Mihai Zanfir, William T. Freeman, Rahul Sukthankar, Cristian Sminchisescu:
Neural Descent for Visual 3D Human Pose and Shape. CVPR 2021: 14484-14493 - [c170]Gengshan Yang, Deqing Sun, Varun Jampani, Daniel Vlasic, Forrester Cole, Huiwen Chang, Deva Ramanan, William T. Freeman, Ce Liu:
LASR: Learning Articulated Shape Reconstruction From a Monocular Video. CVPR 2021: 15980-15989 - [c169]Oran Lang, Yossi Gandelsman, Michal Yarom, Yoav Wald, Gal Elidan, Avinatan Hassidim, William T. Freeman, Phillip Isola, Amir Globerson, Michal Irani, Inbar Mosseri:
Explaining in Style: Training a GAN to explain a classifier in StyleSpace. ICCV 2021: 673-682 - [c168]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 - [c167]Varun Jampani, Huiwen Chang, Kyle Sargent, Abhishek Kar, Richard Tucker, Michael Krainin, Dominik Kaeser, William T. Freeman, David Salesin, Brian Curless, Ce Liu:
SLIDE: Single Image 3D Photography with Soft Layering and Depth-aware Inpainting. ICCV 2021: 12498-12507 - [c166]Mihai Zanfir, Andrei Zanfir, Eduard Gabriel Bazavan, William T. Freeman, Rahul Sukthankar, Cristian Sminchisescu:
THUNDR: Transformer-based 3D HUmaN Reconstruction with Markers. ICCV 2021: 12951-12960 - [c165]Laura E. Brandt, William T. Freeman:
Toward Automatic Interpretation of 3D Plots. ICDAR (2) 2021: 35-50 - [c164]Vincent Sitzmann, Semon Rezchikov, Bill Freeman, Josh Tenenbaum, Frédo Durand:
Light Field Networks: Neural Scene Representations with Single-Evaluation Rendering. NeurIPS 2021: 19313-19325 - [i71]Mark Hamilton, Scott M. Lundberg, Lei Zhang, Stephanie Fu, William T. Freeman:
Model-Agnostic Explainability for Visual Search. CoRR abs/2103.00370 (2021) - [i70]Oran Lang, Yossi Gandelsman, Michal Yarom, Yoav Wald, Gal Elidan, Avinatan Hassidim, William T. Freeman, Phillip Isola, Amir Globerson, Michal Irani, Inbar Mosseri:
Explaining in Style: Training a GAN to explain a classifier in StyleSpace. CoRR abs/2104.13369 (2021) - [i69]Deqing Sun, Daniel Vlasic, Charles Herrmann, Varun Jampani, Michael Krainin, Huiwen Chang, Ramin Zabih, William T. Freeman, Ce Liu:
AutoFlow: Learning a Better Training Set for Optical Flow. CoRR abs/2104.14544 (2021) - [i68]Gengshan Yang, Deqing Sun, Varun Jampani, Daniel Vlasic, Forrester Cole, Huiwen Chang, Deva Ramanan, William T. Freeman, Ce Liu:
LASR: Learning Articulated Shape Reconstruction from a Monocular Video. CoRR abs/2105.02976 (2021) - [i67]Erika Lu, Forrester Cole, Tali Dekel, Andrew Zisserman, William T. Freeman, Michael Rubinstein:
Omnimatte: Associating Objects and Their Effects in Video. CoRR abs/2105.06993 (2021) - [i66]Xiuming Zhang, Pratul P. Srinivasan, Boyang Deng, Paul E. Debevec, William T. Freeman, Jonathan T. Barron:
NeRFactor: Neural Factorization of Shape and Reflectance Under an Unknown Illumination. CoRR abs/2106.01970 (2021) - [i65]Vincent Sitzmann, Semon Rezchikov, William T. Freeman, Joshua B. Tenenbaum, Frédo Durand:
Light Field Networks: Neural Scene Representations with Single-Evaluation Rendering. CoRR abs/2106.02634 (2021) - [i64]Laura E. Brandt, William T. Freeman:
Toward Automatic Interpretation of 3D Plots. CoRR abs/2106.07627 (2021) - [i63]Mihai Zanfir, Andrei Zanfir, Eduard Gabriel Bazavan, William T. Freeman, Rahul Sukthankar, Cristian Sminchisescu:
THUNDR: Transformer-based 3D HUmaN Reconstruction with Markers. CoRR abs/2106.09336 (2021) - [i62]Zhoutong Zhang, Forrester Cole, Richard Tucker, William T. Freeman, Tali Dekel:
Consistent Depth of Moving Objects in Video. CoRR abs/2108.01166 (2021) - [i61]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) - [i60]Varun Jampani, Huiwen Chang, Kyle Sargent, Abhishek Kar, Richard Tucker, Michael Krainin, Dominik Kaeser, William T. Freeman, David Salesin, Brian Curless, Ce Liu:
SLIDE: Single Image 3D Photography with Soft Layering and Depth-aware Inpainting. CoRR abs/2109.01068 (2021) - [i59]Eduard Gabriel Bazavan, Andrei Zanfir, Mihai Zanfir, William T. Freeman, Rahul Sukthankar, Cristian Sminchisescu:
HSPACE: Synthetic Parametric Humans Animated in Complex Environments. CoRR abs/2112.12867 (2021) - 2020
- [j65]Erika Lu, Forrester Cole, Tali Dekel, Weidi Xie, Andrew Zisserman, David Salesin, William T. Freeman, Michael Rubinstein:
Layered neural rendering for retiming people in video. ACM Trans. Graph. 39(6): 256:1-256:14 (2020) - [c163]Mark Hamilton, Nick Gonsalves, Christina Lee, Anand Raman, Brendan Walsh, Siddhartha Prasad, Dalitso Banda, Lucy Zhang, Lei Zhang, William T. Freeman:
Large-Scale Intelligent Microservices. IEEE BigData 2020: 298-309 - [c162]Yikai Li, Jiayuan Mao, Xiuming Zhang, William T. Freeman, Joshua B. Tenenbaum, Jiajun Wu:
Perspective Plane Program Induction From a Single Image. CVPR 2020: 4433-4442 - [c161]Hongyi Xu, Eduard Gabriel Bazavan, Andrei Zanfir, William T. Freeman, Rahul Sukthankar, Cristian Sminchisescu:
GHUM & GHUML: Generative 3D Human Shape and Articulated Pose Models. CVPR 2020: 6183-6192 - [c160]Assaf Shocher, Yossi Gandelsman, Inbar Mosseri, Michal Yarom, Michal Irani, William T. Freeman, Tali Dekel:
Semantic Pyramid for Image Generation. CVPR 2020: 7455-7464 - [c159]Sagie Benaim, Ariel Ephrat, Oran Lang, Inbar Mosseri, William T. Freeman, Michael Rubinstein, Michal Irani, Tali Dekel:
SpeedNet: Learning the Speediness in Videos. CVPR 2020: 9919-9928 - [c158]Andrei Zanfir, Eduard Gabriel Bazavan, Hongyi Xu, William T. Freeman, Rahul Sukthankar, Cristian Sminchisescu:
Weakly Supervised 3D Human Pose and Shape Reconstruction with Normalizing Flows. ECCV (6) 2020: 465-481 - [c157]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 - [c156]Mark Hamilton, Stephanie Fu, Mindren Lu, Johnny Bui, Darius Bopp, Zhenbang Chen, Felix Tran, Margaret Wang, Marina Rogers, Lei Zhang, Chris Hoder, William T. Freeman:
MosAIc: Finding Artistic Connections across Culture with Conditional Image Retrieval. NeurIPS (Competition and Demos) 2020: 133-155 - [c155]Yikai Li, Jiayuan Mao, Xiuming Zhang, Bill Freeman, Josh Tenenbaum, Noah Snavely, Jiajun Wu:
Multi-Plane Program Induction with 3D Box Priors. NeurIPS 2020 - [i58]Assaf Shocher, Yossi Gandelsman, Inbar Mosseri, Michal Yarom, Michal Irani, William T. Freeman, Tali Dekel:
Semantic Pyramid for Image Generation. CoRR abs/2003.06221 (2020) - [i57]Andrei Zanfir, Eduard Gabriel Bazavan, Hongyi Xu, Bill Freeman, Rahul Sukthankar, Cristian Sminchisescu:
Weakly Supervised 3D Human Pose and Shape Reconstruction with Normalizing Flows. CoRR abs/2003.10350 (2020) - [i56]Sagie Benaim, Ariel Ephrat, Oran Lang, Inbar Mosseri, William T. Freeman, Michael Rubinstein, Michal Irani, Tali Dekel:
SpeedNet: Learning the Speediness in Videos. CoRR abs/2004.06130 (2020) - [i55]Sheila W. Seidel, John Murray-Bruce, Yanting Ma, Christopher C. Yu, William T. Freeman, Vivek K. Goyal:
Two-Dimensional Non-Line-of-Sight Scene Estimation from a Single Edge Occluder. CoRR abs/2006.09241 (2020) - [i54]Yikai Li, Jiayuan Mao, Xiuming Zhang, William T. Freeman, Joshua B. Tenenbaum, Jiajun Wu:
Perspective Plane Program Induction from a Single Image. CoRR abs/2006.14708 (2020) - [i53]Mark Hamilton, Evan Shelhamer, William T. Freeman:
It Is Likely That Your Loss Should be a Likelihood. CoRR abs/2007.06059 (2020) - [i52]Mark Hamilton, Stephanie Fu, William T. Freeman, Mindren Lu:
Conditional Image Retrieval. CoRR abs/2007.07177 (2020) - [i51]Xiuming Zhang, Sean Ryan Fanello, Yun-Ta Tsai, Tiancheng Sun, Tianfan Xue, Rohit Pandey, Sergio Orts-Escolano, Philip L. Davidson, Christoph Rhemann, Paul E. Debevec, Jonathan T. Barron, Ravi Ramamoorthi, William T. Freeman:
Neural Light Transport for Relighting and View Synthesis. CoRR abs/2008.03806 (2020) - [i50]Andrei Zanfir, Eduard Gabriel Bazavan, Mihai Zanfir, William T. Freeman, Rahul Sukthankar, Cristian Sminchisescu:
Neural Descent for Visual 3D Human Pose and Shape. CoRR abs/2008.06910 (2020) - [i49]Erika Lu, Forrester Cole, Tali Dekel, Weidi Xie, Andrew Zisserman, David Salesin, William T. Freeman, Michael Rubinstein:
Layered Neural Rendering for Retiming People in Video. CoRR abs/2009.07833 (2020) - [i48]Mark Hamilton, Nick Gonsalves, Christina Lee, Anand Raman, Brendan Walsh, Siddhartha Prasad, Dalitso Banda, Lucy Zhang, Lei Zhang, William T. Freeman:
Large-Scale Intelligent Microservices. CoRR abs/2009.08044 (2020) - [i47]Yikai Li, Jiayuan Mao, Xiuming Zhang, William T. Freeman, Joshua B. Tenenbaum, Noah Snavely, Jiajun Wu:
Multi-Plane Program Induction with 3D Box Priors. CoRR abs/2011.10007 (2020)
2010 – 2019
- 2019
- [j64]Tianfan Xue, Baian Chen, Jiajun Wu, Donglai Wei, William T. Freeman:
Video Enhancement with Task-Oriented Flow. Int. J. Comput. Vis. 127(8): 1106-1125 (2019) - [j63]Tianfan Xue, Jiajun Wu, Katherine L. Bouman, William T. Freeman:
Visual Dynamics: Stochastic Future Generation via Layered Cross Convolutional Networks. IEEE Trans. Pattern Anal. Mach. Intell. 41(9): 2236-2250 (2019) - [j62]Adrian V. Dalca, Katherine L. Bouman, William T. Freeman, Natalia S. Rost, Mert R. Sabuncu, Polina Golland:
Medical Image Imputation From Image Collections. IEEE Trans. Medical Imaging 38(2): 504-514 (2019) - [c154]Zhengqi Li, Tali Dekel, Forrester Cole, Richard Tucker, Noah Snavely, Ce Liu, William T. Freeman:
Learning the Depths of Moving People by Watching Frozen People. CVPR 2019: 4521-4530 - [c153]Tae-Hyun Oh, Tali Dekel, Changil Kim, Inbar Mosseri, William T. Freeman, Michael Rubinstein, Wojciech Matusik:
Speech2Face: Learning the Face Behind a Voice. CVPR 2019: 7539-7548 - [c152]Adam B. Yedidia, Manel Baradad, Christos Thrampoulidis, William T. Freeman, Gregory W. Wornell:
Using Unknown Occluders to Recover Hidden Scenes. CVPR 2019: 12231-12239 - [c151]Sheila W. Seidel, Yanting Ma, John Murray-Bruce, Charles Saunders, William T. Freeman, Christopher C. Yu, Vivek K. Goyal:
Corner Occluder Computational Periscopy: Estimating a Hidden Scene from a Single Photograph. ICCP 2019: 1-9 - [c150]Guha Balakrishnan, Adrian V. Dalca, Amy Zhao, John V. Guttag, Frédo Durand, William T. Freeman:
Visual Deprojection: Probabilistic Recovery of Collapsed Dimensions. ICCV 2019: 171-180 - [c149]Xiuming Zhang, Jiayuan Mao, Yikai Li, William T. Freeman, Joshua B. Tenenbaum, Jiajun Wu:
Program-Guided Image Manipulators. ICCV 2019: 4029-4038 - [c148]Kyle Genova, Forrester Cole, Daniel Vlasic, Aaron Sarna, William T. Freeman, Thomas A. Funkhouser:
Learning Shape Templates With Structured Implicit Functions. ICCV 2019: 7153-7163 - [c147]Dilip Krishnan, Piotr Teterwak, Aaron Sarna, Aaron Maschinot, Ce Liu, David Belanger, William T. Freeman:
Boundless: Generative Adversarial Networks for Image Extension. ICCV 2019: 10520-10529 - [c146]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 - [c145]David Bau, Jun-Yan Zhu, Hendrik Strobelt, Bolei Zhou, Joshua B. Tenenbaum, William T. Freeman, Antonio Torralba:
Visualizing and Understanding GANs. DGS@ICLR 2019 - [c144]Michael Janner, Sergey Levine, William T. Freeman, Joshua B. Tenenbaum, Chelsea Finn, Jiajun Wu:
Reasoning About Physical Interactions with Object-Oriented Prediction and Planning. ICLR (Poster) 2019 - [c143]Yunchao Liu, Zheng Wu, Daniel Ritchie, William T. Freeman, Joshua B. Tenenbaum, Jiajun Wu:
Learning to Describe Scenes with Programs. ICLR (Poster) 2019 - [c142]Yonglong Tian, Andrew Luo, Xingyuan Sun, Kevin Ellis, William T. Freeman, Joshua B. Tenenbaum, Jiajun Wu:
Learning to Infer and Execute 3D Shape Programs. ICLR (Poster) 2019 - [c141]Zhenjia Xu, Zhijian Liu, Chen Sun, Kevin Murphy, William T. Freeman, Joshua B. Tenenbaum, Jiajun Wu:
Unsupervised Discovery of Parts, Structure, and Dynamics. ICLR (Poster) 2019 - [c140]Yuanming Hu, Jiancheng Liu, Andrew Spielberg, Joshua B. Tenenbaum, William T. Freeman, Jiajun Wu, Daniela Rus, Wojciech Matusik:
ChainQueen: A Real-Time Differentiable Physical Simulator for Soft Robotics. ICRA 2019: 6265-6271 - [c139]Miika Aittala, Prafull Sharma, Lukas Murmann, Adam B. Yedidia, Gregory W. Wornell, Bill Freeman, Frédo Durand:
Computational Mirrors: Blind Inverse Light Transport by Deep Matrix Factorization. NeurIPS 2019: 14311-14321 - [i46]Yonglong Tian, Andrew Luo, Xingyuan Sun, Kevin Ellis, William T. Freeman, Joshua B. Tenenbaum, Jiajun Wu:
Learning to Infer and Execute 3D Shape Programs. CoRR abs/1901.02875 (2019) - [i45]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) - [i44]Zhenjia Xu, Zhijian Liu, Chen Sun, Kevin Murphy, William T. Freeman, Joshua B. Tenenbaum, Jiajun Wu:
Unsupervised Discovery of Parts, Structure, and Dynamics. CoRR abs/1903.05136 (2019) - [i43]Kyle Genova, Forrester Cole, Daniel Vlasic, Aaron Sarna, William T. Freeman, Thomas A. Funkhouser:
Learning Shape Templates with Structured Implicit Functions. CoRR abs/1904.06447 (2019) - [i42]Zhengqi Li, Tali Dekel, Forrester Cole, Richard Tucker, Noah Snavely, Ce Liu, William T. Freeman:
Learning the Depths of Moving People by Watching Frozen People. CoRR abs/1904.11111 (2019) - [i41]Tae-Hyun Oh, Tali Dekel, Changil Kim, Inbar Mosseri, William T. Freeman, Michael Rubinstein, Wojciech Matusik:
Speech2Face: Learning the Face Behind a Voice. CoRR abs/1905.09773 (2019) - [i40]Piotr Teterwak, Aaron Sarna, Dilip Krishnan, Aaron Maschinot, David Belanger, Ce Liu, William T. Freeman:
Boundless: Generative Adversarial Networks for Image Extension. CoRR abs/1908.07007 (2019) - [i39]Guha Balakrishnan, Adrian V. Dalca, Amy Zhao, John V. Guttag, Frédo Durand, William T. Freeman:
Visual Deprojection: Probabilistic Recovery of Collapsed Dimensions. CoRR abs/1909.00475 (2019) - [i38]Jiayuan Mao, Xiuming Zhang, Yikai Li, William T. Freeman, Joshua B. Tenenbaum, Jiajun Wu:
Program-Guided Image Manipulators. CoRR abs/1909.02116 (2019) - [i37]Miika Aittala, Prafull Sharma, Lukas Murmann, Adam B. Yedidia, Gregory W. Wornell, William T. Freeman, Frédo Durand:
Computational Mirrors: Blind Inverse Light Transport by Deep Matrix Factorization. CoRR abs/1912.02314 (2019) - 2018
- [j61]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) - [j60]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) - [j59]Shaul Oron, Tali Dekel, Tianfan Xue, William T. Freeman, Shai Avidan:
Best-Buddies Similarity - Robust Template Matching Using Mutual Nearest Neighbors. IEEE Trans. Pattern Anal. Mach. Intell. 40(8): 1799-1813 (2018)