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ORCIDJiajun Wu 0001
Person information
- affiliation: Stanford University, Stanford, CA, USA
- affiliation (Ph.D.): Massachusetts Institute of Technology, CSAIL, Cambridge, MA, USA
Other persons with the same name
- Jiajun Wu
- Jiajun Wu 0002 — Nanjing University of Science and Technology, China
- Jiajun Wu 0003 — Nanyang Technological University, Singapore
- Jiajun Wu 0004
![[0000-0002-2813-3249]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0000-0002-2813-3249")
— Beihang University, Beijing, China - Jiajun Wu 0005 — Jiangxi University of Finance and Economics, School of Software and Communication Engineering, Nanchang, China
- Jiajun Wu 0006 — Huazhong University of Science and Technology, Wuhan, China
- Jiajun Wu 0007 — University of Hong Kong, Hong Kong
- Jiajun Wu 0008 (aka: Jia-Jun Wu 0008) — University of Chinese Academy of Sciences, School of Physical Sciences, Beijing, China (and 4 more)
- Jiajun Wu 0009 — Zhejiang University School of Medicine, First Affiliated Hospital, Hangzhou, China
- Jiajun Wu 0010 — Guangdong University of Foreign Studies, School of Information Science and Technology, China
- Jiajun Wu 0011 — Nanjing University of Aeronautics and Astronautics, China
- Jiajun Wu 0012 — Xiamen University of Technology, China
- Jiajun Wu 0013 — University Of Electronic Science and Technology of China, Chengdu, China
- Jiajun Wu 0014 — University of Chinese Academy of Sciences, Beijing, China (and 1 more)
- Jiajun Wu 0015 — HESAM Université, Arts et Métiers Institute of Technology, CNRS, Paris, France
- Jiajun Wu 0016 — Guangdong University of Technology, School of Electromechanical Engineering, Guangzhou, China
- Jiajun Wu 0017 — University of Calgary, Department of Electrical and Software Engineering, Canada
- Jiajun Wu 0018 — Southeast University, School of Mechanical Engineering, Nanjing, China
- Jiajun Wu 0019 — Chinese Academy of Sciences, Institute of Rock and Soil Mechanics, State Key Laboratory of Geomechanics and Geotechnical Engineering, Wuhan, China
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2020 – today
- 2024
[j21]Jiajun Wu:
Physical scene understanding. AI Mag. 45(1): 156-164 (2024)- [j20]Haochen Shi, Huazhe Xu, Zhiao Huang, Yunzhu Li, Jiajun Wu:
RoboCraft: Learning to see, simulate, and shape elasto-plastic objects in 3D with graph networks. Int. J. Robotics Res. 43(4): 533-549 (2024) - [j19]Honglin Chen, Wanhee Lee, Hong-Xing Yu, Rahul Mysore Venkatesh, Joshua B. Tenenbaum, Daniel Bear, Jiajun Wu, Daniel L. K. Yamins:
Unsupervised 3D Scene Representation Learning via Movable Object Inference. Trans. Mach. Learn. Res. 2024 (2024) - [c188]Fan-Yun Sun, Jonathan Tremblay, Valts Blukis, Kevin Lin, Danfei Xu, Boris Ivanovic, Péter Karkus, Stan Birchfield, Dieter Fox, Ruohan Zhang, Yunzhu Li, Jiajun Wu, Marco Pavone, Nick Haber:
Partial-View Object View Synthesis via Filtering Inversion. 3DV 2024: 453-463 - [c187]Zhecheng Wang, Rajanie Prabha, Tianyuan Huang, Jiajun Wu, Ram Rajagopal:
SkyScript: A Large and Semantically Diverse Vision-Language Dataset for Remote Sensing. AAAI 2024: 5805-5813 - [c186]Tianyuan Huang, Zejia Wu, Jiajun Wu, Jackelyn Hwang, Ram Rajagopal:
CityPulse: Fine-Grained Assessment of Urban Change with Street View Time Series. AAAI 2024: 22123-22131 - [c185]Hong-Xing Yu, Haoyi Duan, Junhwa Hur, Kyle Sargent, Michael Rubinstein, William T. Freeman, Forrester Cole, Deqing Sun, Noah Snavely, Jiajun Wu, Charles Herrmann:
WonderJourney: Going from Anywhere to Everywhere. CVPR 2024: 6658-6667 - [c184]Kyle Sargent, Zizhang Li, Tanmay Shah, Charles Herrmann, Hong-Xing Yu, Yunzhi Zhang, Eric Ryan Chan, Dmitry Lagun, Li Fei-Fei, Deqing Sun, Jiajun Wu:
ZeroNVS: Zero-Shot 360-Degree View Synthesis from a Single Image. CVPR 2024: 9420-9429 - [c183]Zizhang Li, Dor Litvak, Ruining Li, Yunzhi Zhang, Tomas Jakab, Christian Rupprecht, Shangzhe Wu, Andrea Vedaldi, Jiajun Wu:
Learning the 3D Fauna of the Web. CVPR 2024: 9752-9762 - [c182]Mason Long Wang, Ryosuke Sawata, Samuel Clarke, Ruohan Gao, Shangzhe Wu, Jiajun Wu:
Hearing Anything Anywhere. CVPR 2024: 11790-11799 - [c181]Chun Feng, Joy Hsu, Weiyu Liu, Jiajun Wu:
Naturally Supervised 3D Visual Grounding with Language-Regularized Concept Learners. CVPR 2024: 13269-13278 - [c180]Yue Yang, Fan-Yun Sun, Luca Weihs, Eli VanderBilt, Alvaro Herrasti, Winson Han, Jiajun Wu, Nick Haber, Ranjay Krishna, Lingjie Liu, Chris Callison-Burch, Mark Yatskar, Aniruddha Kembhavi, Christopher Clark:
Holodeck: Language Guided Generation of 3D Embodied AI Environments. CVPR 2024: 16277-16287 - [c179]Yunhao Ge, Yihe Tang, Jiashu Xu, Cem Gokmen, Chengshu Li, Wensi Ai, Benjamin Jose Martinez, Arman Aydin, Mona Anvari, Ayush K. Chakravarthy, Hong-Xing Yu, Josiah Wong, Sanjana Srivastava, Sharon Lee, Shengxin Zha, Laurent Itti, Yunzhu Li, Roberto Martín-Martín, Miao Liu, Pengchuan Zhang, Ruohan Zhang, Li Fei-Fei, Jiajun Wu:
BEHAVIOR Vision Suite: Customizable Dataset Generation via Simulation. CVPR 2024: 22401-22412 - [c178]Le Xue, Ning Yu, Shu Zhang, Artemis Panagopoulou, Junnan Li, Roberto Martín-Martín, Jiajun Wu, Caiming Xiong, Ran Xu, Juan Carlos Niebles, Silvio Savarese:
ULIP-2: Towards Scalable Multimodal Pre-Training for 3D Understanding. CVPR 2024: 27081-27091 - [c177]Keqiang Sun, Dor Litvak, Yunzhi Zhang, Hongsheng Li, Jiajun Wu, Shangzhe Wu:
Ponymation: Learning Articulated 3D Animal Motions from Unlabeled Online Videos. ECCV (1) 2024: 100-119 - [c176]Yunzhi Zhang, Zizhang Li, Amit Raj, Andreas Engelhardt, Yuanzhen Li, Tingbo Hou, Jiajun Wu, Varun Jampani:
3D Congealing: 3D-Aware Image Alignment in the Wild. ECCV (1) 2024: 387-404 - [c175]Tianyuan Zhang, Hong-Xing Yu, Rundi Wu, Brandon Y. Feng, Changxi Zheng, Noah Snavely, Jiajun Wu, William T. Freeman:
PhysDreamer: Physics-Based Interaction with 3D Objects via Video Generation. ECCV (2) 2024: 388-406 - [c174]Licheng Zhong, Hong-Xing Yu, Jiajun Wu, Yunzhu Li:
Reconstruction and Simulation of Elastic Objects with Spring-Mass 3D Gaussians. ECCV (2) 2024: 407-423 - [c173]Chen Geng, Hong-Xing Yu, Sida Peng, Xiaowei Zhou, Jiajun Wu:
Neural Polynomial Gabor Fields for Macro Motion Analysis. ICLR 2024 - [c172]Zheng Ding, Mengqi Zhang, Jiajun Wu, Zhuowen Tu:
Patched Denoising Diffusion Models For High-Resolution Image Synthesis. ICLR 2024 - [c171]Sharon Lee, Yunzhi Zhang, Shangzhe Wu, Jiajun Wu:
Language-Informed Visual Concept Learning. ICLR 2024 - [c170]Weiyu Liu, Geng Chen, Joy Hsu, Jiayuan Mao, Jiajun Wu:
Learning Planning Abstractions from Language. ICLR 2024 - [c169]Kyle Hsu, Jubayer Ibn Hamid, Kaylee Burns, Chelsea Finn, Jiajun Wu:
Tripod: Three Complementary Inductive Biases for Disentangled Representation Learning. ICML 2024 - [c168]Michelle Guo, Ziang Liu, Stephen Tian, Zhaoming Xie, Jiajun Wu, C. Karen Liu:
Learning to Design 3D Printable Adaptations on Everyday Objects for Robot Manipulation. ICRA 2024: 824-830 - [c167]Abby O'Neill, Abdul Rehman, Abhiram Maddukuri, Abhishek Gupta, Abhishek Padalkar, Abraham Lee, Acorn Pooley, Agrim Gupta, Ajay Mandlekar, Ajinkya Jain, Albert Tung, Alex Bewley, Alexander Herzog, Alex Irpan, Alexander Khazatsky, Anant Rai, Anchit Gupta, Andrew Wang, Anikait Singh, Animesh Garg, Aniruddha Kembhavi, Annie Xie, Anthony Brohan, Antonin Raffin, Archit Sharma, Arefeh Yavary, Arhan Jain, Ashwin Balakrishna, Ayzaan Wahid, Ben Burgess-Limerick, Beomjoon Kim, Bernhard Schölkopf, Blake Wulfe, Brian Ichter, Cewu Lu, Charles Xu, Charlotte Le, Chelsea Finn, Chen Wang, Chenfeng Xu, Cheng Chi, Chenguang Huang, Christine Chan, Christopher Agia, Chuer Pan, Chuyuan Fu, Coline Devin, Danfei Xu, Daniel Morton, Danny Driess, Daphne Chen, Deepak Pathak, Dhruv Shah, Dieter Büchler, Dinesh Jayaraman, Dmitry Kalashnikov, Dorsa Sadigh, Edward Johns, Ethan Paul Foster, Fangchen Liu, Federico Ceola, Fei Xia, Feiyu Zhao, Freek Stulp, Gaoyue Zhou, Gaurav S. Sukhatme, Gautam Salhotra, Ge Yan, Gilbert Feng, Giulio Schiavi, Glen Berseth, Gregory Kahn, Guanzhi Wang, Hao Su, Haoshu Fang, Haochen Shi, Henghui Bao, Heni Ben Amor, Henrik I. Christensen, Hiroki Furuta, Homer Walke, Hongjie Fang, Huy Ha, Igor Mordatch, Ilija Radosavovic, Isabel Leal, Jacky Liang, Jad Abou-Chakra, Jaehyung Kim, Jaimyn Drake, Jan Peters, Jan Schneider, Jasmine Hsu, Jeannette Bohg, Jeffrey Bingham, Jeffrey Wu, Jensen Gao, Jiaheng Hu, Jiajun Wu, Jialin Wu, Jiankai Sun, Jianlan Luo, Jiayuan Gu, Jie Tan, Jihoon Oh, Jimmy Wu, Jingpei Lu, Jingyun Yang, Jitendra Malik, João Silvério, Joey Hejna, Jonathan Booher, Jonathan Tompson, Jonathan Yang, Jordi Salvador, Joseph J. Lim, Junhyek Han, Kaiyuan Wang, Kanishka Rao, Karl Pertsch, Karol Hausman, Keegan Go, Keerthana Gopalakrishnan, Ken Goldberg, Kendra Byrne, Kenneth Oslund, Kento Kawaharazuka, Kevin Black, Kevin Lin, Kevin Zhang, Kiana Ehsani, Kiran Lekkala, Kirsty Ellis, Krishan Rana, Krishnan Srinivasan, Kuan Fang, Kunal Pratap Singh, Kuo-Hao Zeng, Kyle Hatch, Kyle Hsu, Laurent Itti, Lawrence Yunliang Chen, Lerrel Pinto, Li Fei-Fei, Liam Tan, Linxi Jim Fan, Lionel Ott, Lisa Lee, Luca Weihs, Magnum Chen, Marion Lepert, Marius Memmel, Masayoshi Tomizuka, Masha Itkina, Mateo Guaman Castro, Max Spero, Maximilian Du, Michael Ahn, Michael C. Yip, Mingtong Zhang, Mingyu Ding, Minho Heo, Mohan Kumar Srirama, Mohit Sharma, Moo Jin Kim, Naoaki Kanazawa, Nicklas Hansen, Nicolas Heess, Nikhil J. Joshi, Niko Sünderhauf, Ning Liu, Norman Di Palo, Nur Muhammad (Mahi) Shafiullah, Oier Mees, Oliver Kroemer, Osbert Bastani, Pannag R. Sanketi, Patrick Tree Miller, Patrick Yin, Paul Wohlhart, Peng Xu, Peter David Fagan, Peter Mitrano, Pierre Sermanet, Pieter Abbeel, Priya Sundaresan, Qiuyu Chen, Quan Vuong, Rafael Rafailov, Ran Tian, Ria Doshi, Roberto Martín-Martín, Rohan Baijal, Rosario Scalise, Rose Hendrix, Roy Lin, Runjia Qian, Ruohan Zhang, Russell Mendonca, Rutav Shah, Ryan Hoque, Ryan Julian, Samuel Bustamante, Sean Kirmani, Sergey Levine, Shan Lin, Sherry Moore, Shikhar Bahl, Shivin Dass, Shubham D. Sonawani, Shuran Song, Sichun Xu, Siddhant Haldar, Siddharth Karamcheti, Simeon Adebola, Simon Guist, Soroush Nasiriany, Stefan Schaal, Stefan Welker, Stephen Tian, Subramanian Ramamoorthy, Sudeep Dasari, Suneel Belkhale, Sungjae Park, Suraj Nair, Suvir Mirchandani, Takayuki Osa, Tanmay Gupta, Tatsuya Harada, Tatsuya Matsushima, Ted Xiao, Thomas Kollar, Tianhe Yu, Tianli Ding, Todor Davchev, Tony Z. Zhao, Travis Armstrong, Trevor Darrell, Trinity Chung, Vidhi Jain, Vincent Vanhoucke, Wei Zhan, Wenxuan Zhou, Wolfram Burgard, Xi Chen, Xiaolong Wang, Xinghao Zhu, Xinyang Geng, Xiyuan Liu, Liangwei Xu, Xuanlin Li, Yao Lu, Yecheng Jason Ma, Yejin Kim, Yevgen Chebotar, Yifan Zhou, Yifeng Zhu, Yilin Wu, Ying Xu, Yixuan Wang, Yonatan Bisk, Yoonyoung Cho, Youngwoon Lee, Yuchen Cui, Yue Cao, Yueh-Hua Wu, Yujin Tang, Yuke Zhu, Yunchu Zhang, Yunfan Jiang, Yunshuang Li, Yunzhu Li, Yusuke Iwasawa, Yutaka Matsuo, Zehan Ma, Zhuo Xu, Zichen Jeff Cui, Zichen Zhang, Zipeng Lin:
Open X-Embodiment: Robotic Learning Datasets and RT-X Models : Open X-Embodiment Collaboration. ICRA 2024: 6892-6903 - [c166]Jensen Gao, Bidipta Sarkar, Fei Xia, Ted Xiao, Jiajun Wu, Brian Ichter, Anirudha Majumdar, Dorsa Sadigh:
Physically Grounded Vision-Language Models for Robotic Manipulation. ICRA 2024: 12462-12469 - [c165]Victor Kolev, Rafael Rafailov, Kyle Hatch, Jiajun Wu, Chelsea Finn:
Efficient imitation learning with conservative world models. L4DC 2024: 1777-1790 - [c164]Xutong Jin, Chenxi Xu, Ruohan Gao, Jiajun Wu, Guoping Wang, Sheng Li:
DiffSound: Differentiable Modal Sound Rendering and Inverse Rendering for Diverse Inference Tasks. SIGGRAPH (Conference Paper Track) 2024: 128 - [i187]Tianyuan Huang, Zejia Wu, Jiajun Wu, Jackelyn Hwang, Ram Rajagopal:
CityPulse: Fine-Grained Assessment of Urban Change with Street View Time Series. CoRR abs/2401.01107 (2024) - [i186]Zizhang Li, Dor Litvak, Ruining Li, Yunzhi Zhang, Tomas Jakab, Christian Rupprecht, Shangzhe Wu, Andrea Vedaldi, Jiajun Wu:
Learning the 3D Fauna of the Web. CoRR abs/2401.02400 (2024) - [i185]Rundong Luo, Hong-Xing Yu, Jiajun Wu:
Unsupervised Discovery of Object-Centric Neural Fields. CoRR abs/2402.07376 (2024) - [i184]Chengshu Li, Ruohan Zhang, Josiah Wong, Cem Gokmen, Sanjana Srivastava, Roberto Martín-Martín, Chen Wang, Gabrael Levine, Wensi Ai, Benjamin Jose Martinez, Hang Yin, Michael Lingelbach, Minjune Hwang, Ayano Hiranaka, Sujay Garlanka, Arman Aydin, Sharon Lee, Jiankai Sun, Mona Anvari, Manasi Sharma, Dhruva Bansal, Samuel Hunter, Kyu-Young Kim, Alan Lou, Caleb R. Matthews, Ivan Villa-Renteria, Jerry Huayang Tang, Claire Tang, Fei Xia, Yunzhu Li, Silvio Savarese, Hyowon Gweon, C. Karen Liu, Jiajun Wu, Li Fei-Fei:
BEHAVIOR-1K: A Human-Centered, Embodied AI Benchmark with 1, 000 Everyday Activities and Realistic Simulation. CoRR abs/2403.09227 (2024) - [i183]Licheng Zhong, Hong-Xing Yu, Jiajun Wu, Yunzhu Li:
Reconstruction and Simulation of Elastic Objects with Spring-Mass 3D Gaussians. CoRR abs/2403.09434 (2024) - [i182]Yunzhi Zhang, Zizhang Li, Amit Raj, Andreas Engelhardt, Yuanzhen Li, Tingbo Hou, Jiajun Wu, Varun Jampani:
3D Congealing: 3D-Aware Image Alignment in the Wild. CoRR abs/2404.02125 (2024) - [i181]Zhenhailong Wang, Joy Hsu, Xingyao Wang, Kuan-Hao Huang, Manling Li, Jiajun Wu, Heng Ji:
Text-Based Reasoning About Vector Graphics. CoRR abs/2404.06479 (2024) - [i180]Kyle Hsu, Jubayer Ibn Hamid, Kaylee Burns, Chelsea Finn, Jiajun Wu:
Tripod: Three Complementary Inductive Biases for Disentangled Representation Learning. CoRR abs/2404.10282 (2024) - [i179]Tianyuan Zhang, Hong-Xing Yu, Rundi Wu, Brandon Y. Feng, Changxi Zheng, Noah Snavely, Jiajun Wu, William T. Freeman:
PhysDreamer: Physics-Based Interaction with 3D Objects via Video Generation. CoRR abs/2404.13026 (2024) - [i178]Chun Feng, Joy Hsu, Weiyu Liu, Jiajun Wu:
Naturally Supervised 3D Visual Grounding with Language-Regularized Concept Learners. CoRR abs/2404.19696 (2024) - [i177]Weiyu Liu, Geng Chen, Joy Hsu, Jiayuan Mao, Jiajun Wu:
Learning Planning Abstractions from Language. CoRR abs/2405.03864 (2024) - [i176]Weiyu Liu, Jiayuan Mao, Joy Hsu, Tucker Hermans, Animesh Garg, Jiajun Wu:
Composable Part-Based Manipulation. CoRR abs/2405.05876 (2024) - [i175]Xuanlin Li, Kyle Hsu, Jiayuan Gu, Karl Pertsch, Oier Mees, Homer Rich Walke, Chuyuan Fu, Ishikaa Lunawat, Isabel Sieh, Sean Kirmani, Sergey Levine, Jiajun Wu, Chelsea Finn, Hao Su, Quan Vuong, Ted Xiao:
Evaluating Real-World Robot Manipulation Policies in Simulation. CoRR abs/2405.05941 (2024) - [i174]Yunhao Ge, Yihe Tang, Jiashu Xu, Cem Gokmen, Chengshu Li, Wensi Ai, Benjamin Jose Martinez, Arman Aydin, Mona Anvari, Ayush K. Chakravarthy, Hong-Xing Yu, Josiah Wong, Sanjana Srivastava, Sharon Lee, Shengxin Zha, Laurent Itti, Yunzhu Li, Roberto Martín-Martín, Miao Liu, Pengchuan Zhang, Ruohan Zhang, Li Fei-Fei, Jiajun Wu:
BEHAVIOR Vision Suite: Customizable Dataset Generation via Simulation. CoRR abs/2405.09546 (2024) - [i173]Yunfan Jiang, Chen Wang, Ruohan Zhang, Jiajun Wu, Li Fei-Fei:
TRANSIC: Sim-to-Real Policy Transfer by Learning from Online Correction. CoRR abs/2405.10315 (2024) - [i172]Victor Kolev, Rafael Rafailov, Kyle Hatch, Jiajun Wu, Chelsea Finn:
Efficient Imitation Learning with Conservative World Models. CoRR abs/2405.13193 (2024) - [i171]Mason L. Wang, Ryosuke Sawata, Samuel Clarke, Ruohan Gao, Shangzhe Wu, Jiajun Wu:
Hearing Anything Anywhere. CoRR abs/2406.07532 (2024) - [i170]Hong-Xing Yu, Haoyi Duan, Charles Herrmann, William T. Freeman, Jiajun Wu:
WonderWorld: Interactive 3D Scene Generation from a Single Image. CoRR abs/2406.09394 (2024) - [i169]Bo Ai, Stephen Tian, Haochen Shi, Yixuan Wang, Cheston Tan, Yunzhu Li, Jiajun Wu:
RoboPack: Learning Tactile-Informed Dynamics Models for Dense Packing. CoRR abs/2407.01418 (2024) - [i168]Rafael Rafailov, Kyle Hatch, Anikait Singh, Laura M. Smith, Aviral Kumar, Ilya Kostrikov, Philippe Hansen-Estruch, Victor Kolev, Philip J. Ball, Jiajun Wu, Chelsea Finn, Sergey Levine:
D5RL: Diverse Datasets for Data-Driven Deep Reinforcement Learning. CoRR abs/2408.08441 (2024) - [i167]Stephen Tian, Blake Wulfe, Kyle Sargent, Katherine Liu, Sergey Zakharov, Vitor Guizilini, Jiajun Wu:
View-Invariant Policy Learning via Zero-Shot Novel View Synthesis. CoRR abs/2409.03685 (2024) - [i166]Sinan Wang, Yitong Deng, Molin Deng, Hong-Xing Yu, Junwei Zhou, Duowen Chen, Taku Komura, Jiajun Wu, Bo Zhu:
An Eulerian Vortex Method on Flow Maps. CoRR abs/2409.06201 (2024) - [i165]Joy Hsu, Jiayuan Mao, Joshua B. Tenenbaum, Noah D. Goodman, Jiajun Wu:
What Makes a Maze Look Like a Maze? CoRR abs/2409.08202 (2024) - [i164]Xutong Jin, Chenxi Xu, Ruohan Gao, Jiajun Wu, Guoping Wang, Sheng Li:
DiffSound: Differentiable Modal Sound Rendering and Inverse Rendering for Diverse Inference Tasks. CoRR abs/2409.13486 (2024) - [i163]Emily Jin, Zhuoyi Huang, Jan-Philipp Fränken, Weiyu Liu, Hannah Cha, Erik Brockbank, Sarah Wu, Ruohan Zhang, Jiajun Wu, Tobias Gerstenberg:
MARPLE: A Benchmark for Long-Horizon Inference. CoRR abs/2410.01926 (2024) - 2023
- [j18]Jiaman Li, C. Karen Liu, Jiajun Wu:
Ego-Body Pose Estimation via Ego-Head Pose Estimation. AI Matters 9(2): 20-23 (2023) - [j17]Daniel Ritchie, Paul Guerrero, R. Kenny Jones, Niloy J. Mitra, Adriana Schulz, Karl D. D. Willis, Jiajun Wu:
Neurosymbolic Models for Computer Graphics. Comput. Graph. Forum 42(2): 545-568 (2023) - [j16]Simon Le Cleac'h, Hong-Xing Yu, Michelle Guo, Taylor A. Howell, Ruohan Gao, Jiajun Wu, Zachary Manchester, Mac Schwager:
Differentiable Physics Simulation of Dynamics-Augmented Neural Objects. IEEE Robotics Autom. Lett. 8(5): 2780-2787 (2023) - [j15]Joy Hsu, Jiayuan Mao, Jiajun Wu:
DisCo: Improving Compositional Generalization in Visual Reasoning through Distribution Coverage. Trans. Mach. Learn. Res. 2023 (2023) - [j14]Cameron Smith, Hong-Xing Yu, Sergey Zakharov, Frédo Durand, Joshua B. Tenenbaum, Jiajun Wu, Vincent Sitzmann:
Unsupervised Discovery and Composition of Object Light Fields. Trans. Mach. Learn. Res. 2023 (2023) - [j13]Hong-Xing Yu, Michelle Guo, Alireza Fathi, Yen-Yu Chang, Eric Ryan Chan, Ruohan Gao, Thomas A. Funkhouser, Jiajun Wu:
Learning Object-Centric Neural Scattering Functions for Free-viewpoint Relighting and Scene Composition. Trans. Mach. Learn. Res. 2023 (2023) - [j12]Jiaman Li, Jiajun Wu, C. Karen Liu:
Object Motion Guided Human Motion Synthesis. ACM Trans. Graph. 42(6): 197:1-197:11 (2023) - [j11]Sharon Zhang, Jiaju Ma, Jiajun Wu, Daniel Ritchie, Maneesh Agrawala:
Editing Motion Graphics Video via Motion Vectorization and Transformation. ACM Trans. Graph. 42(6): 229:1-229:13 (2023) - [j10]Yitong Deng, Hong-Xing Yu, Diyang Zhang, Jiajun Wu, Bo Zhu:
Fluid Simulation on Neural Flow Maps. ACM Trans. Graph. 42(6): 248:1-248:21 (2023) - [c163]Zhezheng Luo, Jiayuan Mao, Jiajun Wu, Tomás Lozano-Pérez, Joshua B. Tenenbaum, Leslie Pack Kaelbling:
Learning Rational Subgoals from Demonstrations and Instructions. AAAI 2023: 12068-12078 - [c162]Jiajun Wu:
Learning to See the Physical World. AAAI 2023: 15460 - [c161]Andrey Kurenkov, Michael Lingelbach, Tanmay Agarwal, Chengshu Li, Emily Jin, Ruohan Zhang, Li Fei-Fei, Jiajun Wu, Silvio Savarese, Roberto Martín-Martín:
Modeling Dynamic Environments with Scene Graph Memory. AAMAS 2023: 2851-2853 - [c160]Wensi Ai, Sharon Lee, Li Fei-Fei, Jiajun Wu, Ruohan Zhang:
Quantifying the Effect of Visual Impairments on Daily Activities in Virtual, Interactive Environments. CogSci 2023 - [c159]Peter Zhu, Kanishk Gandhi, Yixing Wang, Steven Le, Jiajun Wu, Hyowon Gweon:
Intuitions about physical scenes and objects in Virtual Reality (VR). CogSci 2023 - [c158]Wenlong Huang, Chen Wang, Ruohan Zhang, Yunzhu Li, Jiajun Wu, Li Fei-Fei:
VoxPoser: Composable 3D Value Maps for Robotic Manipulation with Language Models. CoRL 2023: 540-562 - [c157]Haochen Shi, Huazhe Xu, Samuel Clarke, Yunzhu Li, Jiajun Wu:
RoboCook: Long-Horizon Elasto-Plastic Object Manipulation with Diverse Tools. CoRL 2023: 642-660 - [c156]Ziang Liu, Stephen Tian, Michelle Guo, C. Karen Liu, Jiajun Wu:
Learning to Design and Use Tools for Robotic Manipulation. CoRL 2023: 887-905 - [c155]Priya Sundaresan, Jiajun Wu, Dorsa Sadigh:
Learning Sequential Acquisition Policies for Robot-Assisted Feeding. CoRL 2023: 1282-1299 - [c154]Weiyu Liu, Jiayuan Mao, Joy Hsu, Tucker Hermans, Animesh Garg, Jiajun Wu:
Composable Part-Based Manipulation. CoRL 2023: 1300-1315 - [c153]Ruohan Zhang, Sharon Lee, Minjune Hwang, Ayano Hiranaka, Chen Wang, Wensi Ai, Jin Jie Ryan Tan, Shreya Gupta, Yilun Hao, Gabrael Levine, Ruohan Gao, Anthony Norcia, Li Fei-Fei, Jiajun Wu:
NOIR: Neural Signal Operated Intelligent Robots for Everyday Activities. CoRL 2023: 1737-1760 - [c152]Zhutian Yang, Jiayuan Mao, Yilun Du, Jiajun Wu, Joshua B. Tenenbaum, Tomás Lozano-Pérez, Leslie Pack Kaelbling:
Compositional Diffusion-Based Continuous Constraint Solvers. CoRL 2023: 3242-3265 - [c151]Yunzhi Zhang, Shangzhe Wu, Noah Snavely, Jiajun Wu:
Seeing a Rose in Five Thousand Ways. CVPR 2023: 962-971 - [c150]Le Xue, Mingfei Gao, Chen Xing, Roberto Martín-Martín, Jiajun Wu, Caiming Xiong, Ran Xu, Juan Carlos Niebles, Silvio Savarese:
ULIP: Learning a Unified Representation of Language, Images, and Point Clouds for 3D Understanding. CVPR 2023: 1179-1189 - [c149]Samuel Clarke, Ruohan Gao, Mason L. Wang, Mark Rau, Julia Xu, Jui-Hsien Wang, Doug L. James, Jiajun Wu:
REALIMPACT: A Dataset of Impact Sound Fields for Real Objects. CVPR 2023: 1516-1525 - [c148]Joy Hsu, Jiayuan Mao, Jiajun Wu:
NS3D: Neuro-Symbolic Grounding of 3D Objects and Relations. CVPR 2023: 2614-2623 - [c147]Stephen Tian, Yancheng Cai, Hong-Xing Yu, Sergey Zakharov, Katherine Liu, Adrien Gaidon, Yunzhu Li, Jiajun Wu:
Multi-Object Manipulation via Object-Centric Neural Scattering Functions. CVPR 2023: 9021-9031 - [c146]Hong-Xing Yu, Samir Agarwala, Charles Herrmann, Richard Szeliski, Noah Snavely, Jiajun Wu, Deqing Sun:
Accidental Light Probes. CVPR 2023: 12521-12530 - [c145]Sumith Kulal, Tim Brooks, Alex Aiken, Jiajun Wu, Jimei Yang, Jingwan Lu, Alexei A. Efros, Krishna Kumar Singh:
Putting People in Their Place: Affordance-Aware Human Insertion into Scenes. CVPR 2023: 17089-17099 - [c144]Jiaman Li, C. Karen Liu, Jiajun Wu:
Ego-Body Pose Estimation via Ego-Head Pose Estimation. CVPR 2023: 17142-17151 - [c143]Ruohan Gao, Yiming Dou, Hao Li, Tanmay Agarwal, Jeannette Bohg, Yunzhu Li, Li Fei-Fei, Jiajun Wu:
The Object Folder Benchmark : Multisensory Learning with Neural and Real Objects. CVPR 2023: 17276-17286 - [c142]J. Ryan Shue, Eric Ryan Chan, Ryan Po, Zachary Ankner, Jiajun Wu, Gordon Wetzstein:
3D Neural Field Generation Using Triplane Diffusion. CVPR 2023: 20875-20886 - [c141]João Pedro Araújo, Jiaman Li, Karthik Vetrivel, Rishi Agarwal, Jiajun Wu, Deepak Gopinath, Alexander Clegg, C. Karen Liu:
CIRCLE: Capture In Rich Contextual Environments. CVPR 2023: 21211-21221 - [c140]Chen Wang, Dasong Gao, Kuan Xu, Junyi Geng, Yaoyu Hu, Yuheng Qiu, Bowen Li, Fan Yang, Brady G. Moon, Abhinav Pandey, Aryan, Jiahe Xu, Tianhao Wu, Haonan He, Daning Huang, Zhongqiang Ren, Shibo Zhao, Taimeng Fu, Pranay Reddy, Xiao Lin, Wenshan Wang, Jingnan Shi, Rajat Talak, Kun Cao, Yi Du, Han Wang, Huai Yu, Shanzhao Wang, Siyu Chen, Ananth Kashyap, Rohan Bandaru, Karthik Dantu, Jiajun Wu, Lihua Xie, Luca Carlone, Marco Hutter, Sebastian A. Scherer:
PyPose: A Library for Robot Learning with Physics-based Optimization. CVPR 2023: 22024-22034 - [c139]Joy Hsu, Gabriel Poesia, Jiajun Wu, Noah D. Goodman:
Can Visual Scratchpads With Diagrammatic Abstractions Augment LLM Reasoning? ICBINB 2023: 21-28 - [c138]Chen Geng, Hong-Xing Yu, Sharon Zhang, Maneesh Agrawala, Jiajun Wu:
Tree-Structured Shading Decomposition. ICCV 2023: 488-498 - [c137]Tiange Xiang, Adam Sun, Jiajun Wu, Ehsan Adeli, Li Fei-Fei:
Rendering Humans from Object-Occluded Monocular Videos. ICCV 2023: 3216-3227 - [c136]Kyle Sargent, Jing Yu Koh, Han Zhang, Huiwen Chang, Charles Herrmann, Pratul P. Srinivasan, Jiajun Wu, Deqing Sun:
VQ3D: Learning a 3D-Aware Generative Model on ImageNet. ICCV 2023: 4217-4227 - [c135]Yitong Deng, Hong-Xing Yu, Jiajun Wu, Bo Zhu:
Learning Vortex Dynamics for Fluid Inference and Prediction. ICLR 2023 - [c134]Agrim Gupta, Stephen Tian, Yunzhi Zhang, Jiajun Wu, Roberto Martín-Martín, Li Fei-Fei:
MaskViT: Masked Visual Pre-Training for Video Prediction. ICLR 2023 - [c133]Trevor Scott Standley, Ruohan Gao, Dawn Chen, Jiajun Wu, Silvio Savarese:
An Extensible Multi-modal Multi-task Object Dataset with Materials. ICLR 2023 - [c132]Stephen Tian, Chelsea Finn, Jiajun Wu:
A Control-Centric Benchmark for Video Prediction. ICLR 2023 - [c131]Renhao Wang, Jiayuan Mao, Joy Hsu, Hang Zhao, Jiajun Wu, Yang Gao:
Programmatically Grounded, Compositionally Generalizable Robotic Manipulation. ICLR 2023 - [c130]Mark Endo, Joy Hsu, Jiaman Li, Jiajun Wu:
Motion Question Answering via Modular Motion Programs. ICML 2023: 9312-9328 - [c129]Andrey Kurenkov, Michael Lingelbach, Tanmay Agarwal, Emily Jin, Chengshu Li, Ruohan Zhang, Li Fei-Fei, Jiajun Wu, Silvio Savarese, Roberto Martín-Martín:
Modeling Dynamic Environments with Scene Graph Memory. ICML 2023: 17976-17993 - [c128]Ruohan Gao, Hao Li, Gokul Dharan, Zhuzhu Wang, Chengshu Li, Fei Xia, Silvio Savarese, Li Fei-Fei, Jiajun Wu:
Sonicverse: A Multisensory Simulation Platform for Embodied Household Agents that See and Hear. ICRA 2023: 704-711 - [c127]Michael Lingelbach, Chengshu Li, Minjune Hwang, Andrey Kurenkov, Alan Lou, Roberto Martín-Martín, Ruohan Zhang, Li Fei-Fei, Jiajun Wu:
Task-Driven Graph Attention for Hierarchical Relational Object Navigation. ICRA 2023: 886-893 - [c126]Christopher Agia, Toki Migimatsu, Jiajun Wu, Jeannette Bohg:
STAP: Sequencing Task-Agnostic Policies. ICRA 2023: 7951-7958 - [c125]Ayano Hiranaka, Minjune Hwang, Sharon Lee, Chen Wang, Li Fei-Fei, Jiajun Wu, Ruohan Zhang:
Primitive Skill-Based Robot Learning from Human Evaluative Feedback. IROS 2023: 7817-7824 - [c124]Michelle Guo, Yifeng Jiang, Andrew Everett Spielberg, Jiajun Wu, C. Karen Liu:
Benchmarking Rigid Body Contact Models. L4DC 2023: 1480-1492 - [c123]Ziang Liu, Genggeng Zhou, Jeff He, Tobia Marcucci, Fei-Fei Li, Jiajun Wu, Yunzhu Li:
Model-Based Control with Sparse Neural Dynamics. NeurIPS 2023 - [c122]Yunhao Ge, Hong-Xing Yu, Cheng Zhao, Yuliang Guo, Xinyu Huang, Liu Ren, Laurent Itti, Jiajun Wu:
3D Copy-Paste: Physically Plausible Object Insertion for Monocular 3D Detection. NeurIPS 2023 - [c121]Agrim Gupta, Jiajun Wu, Jia Deng, Fei-Fei Li:
Siamese Masked Autoencoders. NeurIPS 2023 - [c120]Kyle Hsu, William Dorrell, James C. R. Whittington, Jiajun Wu, Chelsea Finn:
Disentanglement via Latent Quantization. NeurIPS 2023 - [c119]Joy Hsu, Jiayuan Mao, Joshua B. Tenenbaum, Jiajun Wu:
What's Left? Concept Grounding with Logic-Enhanced Foundation Models. NeurIPS 2023 - [c118]Klemen Kotar, Stephen Tian, Hong-Xing Yu, Dan Yamins, Jiajun Wu:
Are These the Same Apple? Comparing Images Based on Object Intrinsics. NeurIPS 2023 - [c117]Zhengfei Kuang, Yunzhi Zhang, Hong-Xing Yu, Samir Agarwala, Shangzhe Wu, Jiajun Wu:
Stanford-ORB: A Real-World 3D Object Inverse Rendering Benchmark. NeurIPS 2023 - [c116]Tony Lee, Michihiro Yasunaga, Chenlin Meng, Yifan Mai, Joon Sung Park, Agrim Gupta, Yunzhi Zhang, Deepak Narayanan, Hannah Teufel, Marco Bellagente, Minguk Kang, Taesung Park, Jure Leskovec, Jun-Yan Zhu, Fei-Fei Li, Jiajun Wu, Stefano Ermon, Percy Liang:
Holistic Evaluation of Text-to-Image Models. NeurIPS 2023 - [c115]Mason L. Wang, Samuel Clarke, Jui-Hsien Wang, Ruohan Gao, Jiajun Wu:
SoundCam: A Dataset for Finding Humans Using Room Acoustics. NeurIPS 2023 - [c114]Hong-Xing Yu, Yang Zheng, Yuan Gao, Yitong Deng, Bo Zhu, Jiajun Wu:
Inferring Hybrid Neural Fluid Fields from Videos. NeurIPS 2023 - [c113]Yixuan Wang, Yunzhu Li, Katherine Driggs Campbell, Li Fei-Fei, Jiajun Wu:
Dynamic-Resolution Model Learning for Object Pile Manipulation. Robotics: Science and Systems 2023 - [c112]Ziyuan Huang, Zhengping Zhou, Yung-Yu Chuang, Jiajun Wu, C. Karen Liu:
Physically Plausible Animation of Human Upper Body from a Single Image. WACV 2023: 930-939 - [i162]Sifan Ye, Yixing Wang, Jiaman Li, Dennis Park, C. Karen Liu, Huazhe Xu, Jiajun Wu:
Scene Synthesis from Human Motion. CoRR abs/2301.01424 (2023) - [i161]Hong-Xing Yu, Samir Agarwala, Charles Herrmann, Richard Szeliski, Noah Snavely, Jiajun Wu, Deqing Sun:
Accidental Light Probes. CoRR abs/2301.05211 (2023) - [i160]Yitong Deng, Hong-Xing Yu, Jiajun Wu, Bo Zhu:
Learning Vortex Dynamics for Fluid Inference and Prediction. CoRR abs/2301.11494 (2023) - [i159]Ruocheng Wang, Yunzhi Zhang, Jiayuan Mao, Ran Zhang, Chin-Yi Cheng, Jiajun Wu:
IKEA-Manual: Seeing Shape Assembly Step by Step. CoRR abs/2302.01881 (2023) - [i158]Kyle Sargent, Jing Yu Koh, Han Zhang, Huiwen Chang, Charles Herrmann, Pratul P. Srinivasan, Jiajun Wu, Deqing Sun:
VQ3D: Learning a 3D-Aware Generative Model on ImageNet. CoRR abs/2302.06833 (2023) - [i157]Zhezheng Luo, Jiayuan Mao, Jiajun Wu, Tomás Lozano-Pérez, Joshua B. Tenenbaum, Leslie Pack Kaelbling:
Learning Rational Subgoals from Demonstrations and Instructions. CoRR abs/2303.05487 (2023) - [i156]Guangxuan Xiao, Leslie Pack Kaelbling, Jiajun Wu, Jiayuan Mao:
Sparse and Local Networks for Hypergraph Reasoning. CoRR abs/2303.05496 (2023) - [i155]Hong-Xing Yu, Michelle Guo, Alireza Fathi, Yen-Yu Chang, Eric Ryan Chan, Ruohan Gao, Thomas A. Funkhouser, Jiajun Wu:
Learning Object-Centric Neural Scattering Functions for Free-viewpoint Relighting and Scene Composition. CoRR abs/2303.06138 (2023) - [i154]Joy Hsu, Jiayuan Mao, Jiajun Wu:
NS3D: Neuro-Symbolic Grounding of 3D Objects and Relations. CoRR abs/2303.13483 (2023) - [i153]João Pedro Araújo, Jiaman Li, Karthik Vetrivel, Rishi Agarwal, Deepak Gopinath, Jiajun Wu, Alexander Clegg, C. Karen Liu:
CIRCLE: Capture In Rich Contextual Environments. CoRR abs/2303.17912 (2023) - [i152]Fan-Yun Sun, Jonathan Tremblay, Valts Blukis, Kevin Lin, Danfei Xu, Boris Ivanovic, Péter Karkus, Stan Birchfield, Dieter Fox, Ruohan Zhang, Yunzhu Li, Jiajun Wu, Marco Pavone, Nick Haber:
Partial-View Object View Synthesis via Filtered Inversion. CoRR abs/2304.00673 (2023) - [i151]Daniel Ritchie, Paul Guerrero, R. Kenny Jones, Niloy J. Mitra, Adriana Schulz, Karl D. D. Willis, Jiajun Wu:
Neurosymbolic Models for Computer Graphics. CoRR abs/2304.10320 (2023) - [i150]Stephen Tian, Chelsea Finn, Jiajun Wu:
A Control-Centric Benchmark for Video Prediction. CoRR abs/2304.13723 (2023) - [i149]Renhao Wang, Jiayuan Mao, Joy Hsu, Hang Zhao, Jiajun Wu, Yang Gao:
Programmatically Grounded, Compositionally Generalizable Robotic Manipulation. CoRR abs/2304.13826 (2023) - [i148]Sumith Kulal, Tim Brooks, Alex Aiken, Jiajun Wu, Jimei Yang, Jingwan Lu, Alexei A. Efros, Krishna Kumar Singh:
Putting People in Their Place: Affordance-Aware Human Insertion into Scenes. CoRR abs/2304.14406 (2023) - [i147]Le Xue, Ning Yu, Shu Zhang, Junnan Li, Roberto Martín-Martín, Jiajun Wu, Caiming Xiong, Ran Xu, Juan Carlos Niebles, Silvio Savarese:
ULIP-2: Towards Scalable Multimodal Pre-training for 3D Understanding. CoRR abs/2305.08275 (2023) - [i146]Mark Endo, Joy Hsu, Jiaman Li, Jiajun Wu:
Motion Question Answering via Modular Motion Programs. CoRR abs/2305.08953 (2023) - [i145]Agrim Gupta, Jiajun Wu, Jia Deng, Li Fei-Fei:
Siamese Masked Autoencoders. CoRR abs/2305.14344 (2023) - [i144]Trevor Standley, Ruohan Gao, Dawn Chen, Jiajun Wu, Silvio Savarese:
An Extensible Multimodal Multi-task Object Dataset with Materials. CoRR abs/2305.14352 (2023) - [i143]Andrey Kurenkov, Michael Lingelbach, Tanmay Agarwal, Chengshu Li, Emily Jin, Ruohan Zhang, Fei-Fei Li, Jiajun Wu, Silvio Savarese, Roberto Martín-Martín:
Modeling Dynamic Environments with Scene Graph Memory. CoRR abs/2305.17537 (2023) - [i142]Kyle Hsu, Will Dorrell, James C. R. Whittington, Jiajun Wu, Chelsea Finn:
Disentanglement via Latent Quantization. CoRR abs/2305.18378 (2023) - [i141]Ruohan Gao, Hao Li, Gokul Dharan, Zhuzhu Wang, Chengshu Li, Fei Xia, Silvio Savarese, Li Fei-Fei, Jiajun Wu:
Sonicverse: A Multisensory Simulation Platform for Embodied Household Agents that See and Hear. CoRR abs/2306.00923 (2023) - [i140]Ruohan Gao, Yiming Dou, Hao Li, Tanmay Agarwal, Jeannette Bohg, Yunzhu Li, Li Fei-Fei, Jiajun Wu:
The ObjectFolder Benchmark: Multisensory Learning with Neural and Real Objects. CoRR abs/2306.00956 (2023) - [i139]Anirudh Sriram, Adrien Gaidon, Jiajun Wu, Juan Carlos Niebles, Li Fei-Fei, Ehsan Adeli:
HomE: Homography-Equivariant Video Representation Learning. CoRR abs/2306.01623 (2023) - [i138]Stephen Tian, Yancheng Cai, Hong-Xing Yu, Sergey Zakharov, Katherine Liu, Adrien Gaidon, Yunzhu Li, Jiajun Wu:
Multi-Object Manipulation via Object-Centric Neural Scattering Functions. CoRR abs/2306.08748 (2023) - [i137]Samuel Clarke, Ruohan Gao, Mason L. Wang, Mark Rau, Julia Xu, Jui-Hsien Wang, Doug L. James, Jiajun Wu:
RealImpact: A Dataset of Impact Sound Fields for Real Objects. CoRR abs/2306.09944 (2023) - [i136]Michael Lingelbach, Chengshu Li, Minjune Hwang, Andrey Kurenkov, Alan Lou, Roberto Martín-Martín, Ruohan Zhang, Li Fei-Fei, Jiajun Wu:
Task-Driven Graph Attention for Hierarchical Relational Object Navigation. CoRR abs/2306.13760 (2023) - [i135]Haochen Shi, Huazhe Xu, Samuel Clarke, Yunzhu Li, Jiajun Wu:
RoboCook: Long-Horizon Elasto-Plastic Object Manipulation with Diverse Tools. CoRR abs/2306.14447 (2023) - [i134]Yixuan Wang, Yunzhu Li, Katherine Driggs Campbell, Li Fei-Fei, Jiajun Wu:
Dynamic-Resolution Model Learning for Object Pile Manipulation. CoRR abs/2306.16700 (2023) - [i133]Moo Jin Kim, Jiajun Wu, Chelsea Finn:
Giving Robots a Hand: Learning Generalizable Manipulation with Eye-in-Hand Human Video Demonstrations. CoRR abs/2307.05959 (2023) - [i132]Wenlong Huang, Chen Wang, Ruohan Zhang, Yunzhu Li, Jiajun Wu, Li Fei-Fei:
VoxPoser: Composable 3D Value Maps for Robotic Manipulation with Language Models. CoRR abs/2307.05973 (2023) - [i131]Ayano Hiranaka, Minjune Hwang, Sharon Lee, Chen Wang, Li Fei-Fei, Jiajun Wu, Ruohan Zhang:
Primitive Skill-based Robot Learning from Human Evaluative Feedback. CoRR abs/2307.15801 (2023) - [i130]Zheng Ding, Mengqi Zhang, Jiajun Wu, Zhuowen Tu:
Patched Denoising Diffusion Models For High-Resolution Image Synthesis. CoRR abs/2308.01316 (2023) - [i129]Tiange Xiang, Adam Sun, Jiajun Wu, Ehsan Adeli, Li Fei-Fei:
Rendering Humans from Object-Occluded Monocular Videos. CoRR abs/2308.04622 (2023) - [i128]Zhutian Yang, Jiayuan Mao, Yilun Du, Jiajun Wu, Joshua B. Tenenbaum, Tomás Lozano-Pérez, Leslie Pack Kaelbling:
Compositional Diffusion-Based Continuous Constraint Solvers. CoRR abs/2309.00966 (2023) - [i127]Jensen Gao, Bidipta Sarkar, Fei Xia, Ted Xiao, Jiajun Wu, Brian Ichter, Anirudha Majumdar, Dorsa Sadigh:
Physically Grounded Vision-Language Models for Robotic Manipulation. CoRR abs/2309.02561 (2023) - [i126]Priya Sundaresan, Jiajun Wu, Dorsa Sadigh:
Learning Sequential Acquisition Policies for Robot-Assisted Feeding. CoRR abs/2309.05197 (2023) - [i125]Chen Geng, Hong-Xing Yu, Sharon Zhang, Maneesh Agrawala, Jiajun Wu:
Tree-Structured Shading Decomposition. CoRR abs/2309.07122 (2023) - [i124]Zitong Zhan, Xiangfu Li, Qihang Li, Haonan He, Abhinav Pandey, Haitao Xiao, Yangmengfei Xu, Xiangyu Chen, Kuan Xu, Kun Cao, Zhipeng Zhao, Zihan Wang, Huan Xu, Zihang Fang, Yutian Chen, Wentao Wang, Xu Fang, Yi Du, Tianhao Wu, Xiao Lin, Yuheng Qiu, Fan Yang, Jingnan Shi, Shaoshu Su, Yiren Lu, Taimeng Fu, Karthik Dantu, Jiajun Wu, Lihua Xie, Marco Hutter, Luca Carlone, Sebastian A. Scherer, Daning Huang, Yaoyu Hu, Junyi Geng, Chen Wang:
PyPose v0.6: The Imperative Programming Interface for Robotics. CoRR abs/2309.13035 (2023) - [i123]Sharon Zhang, Jiaju Ma, Jiajun Wu, Daniel Ritchie, Maneesh Agrawala:
Editing Motion Graphics Video via Motion Vectorization and Transformation. CoRR abs/2309.14642 (2023) - [i122]Yixuan Wang, Zhuoran Li, Mingtong Zhang, Katherine Rose Driggs-Campbell, Jiajun Wu, Li Fei-Fei, Yunzhu Li:
D3Fields: Dynamic 3D Descriptor Fields for Zero-Shot Generalizable Robotic Manipulation. CoRR abs/2309.16118 (2023) - [i121]Jiaman Li, Jiajun Wu, C. Karen Liu:
Object Motion Guided Human Motion Synthesis. CoRR abs/2309.16237 (2023) - [i120]Emily Jin, Jiaheng Hu, Zhuoyi Huang, Ruohan Zhang, Jiajun Wu, Li Fei-Fei, Roberto Martín-Martín:
Mini-BEHAVIOR: A Procedurally Generated Benchmark for Long-horizon Decision-Making in Embodied AI. CoRR abs/2310.01824 (2023) - [i119]Jiayuan Mao, Xuelin Yang, Xikun Zhang, Noah D. Goodman, Jiajun Wu:
CLEVRER-Humans: Describing Physical and Causal Events the Human Way. CoRR abs/2310.03635 (2023) - [i118]Joy Hsu, Jiayuan Mao, Joshua B. Tenenbaum, Jiajun Wu:
What's Left? Concept Grounding with Logic-Enhanced Foundation Models. CoRR abs/2310.16035 (2023) - [i117]Zhengfei Kuang, Yunzhi Zhang, Hong-Xing Yu, Samir Agarwala, Shangzhe Wu, Jiajun Wu:
Stanford-ORB: A Real-World 3D Object Inverse Rendering Benchmark. CoRR abs/2310.16044 (2023) - [i116]Kyle Sargent, Zizhang Li, Tanmay Shah, Charles Herrmann, Hong-Xing Yu, Yunzhi Zhang, Eric Ryan Chan, Dmitry Lagun, Li Fei-Fei, Deqing Sun, Jiajun Wu:
ZeroNVS: Zero-Shot 360-Degree View Synthesis from a Single Real Image. CoRR abs/2310.17994 (2023) - [i115]Klemen Kotar, Stephen Tian, Hong-Xing Yu, Daniel L. K. Yamins, Jiajun Wu:
Are These the Same Apple? Comparing Images Based on Object Intrinsics. CoRR abs/2311.00750 (2023) - [i114]Ziang Liu, Stephen Tian, Michelle Guo, C. Karen Liu, Jiajun Wu:
Learning to Design and Use Tools for Robotic Manipulation. CoRR abs/2311.00754 (2023) - [i113]Ruohan Zhang, Sharon Lee, Minjune Hwang, Ayano Hiranaka, Chen Wang, Wensi Ai, Jin Jie Ryan Tan, Shreya Gupta, Yilun Hao, Gabrael Levine, Ruohan Gao, Anthony Norcia, Li Fei-Fei, Jiajun Wu:
NOIR: Neural Signal Operated Intelligent Robots for Everyday Activities. CoRR abs/2311.01454 (2023) - [i112]Mason L. Wang, Samuel Clarke, Jui-Hsien Wang, Ruohan Gao, Jiajun Wu:
SoundCam: A Dataset for Finding Humans Using Room Acoustics. CoRR abs/2311.03517 (2023) - [i111]Tony Lee, Michihiro Yasunaga, Chenlin Meng, Yifan Mai, Joon Sung Park, Agrim Gupta, Yunzhi Zhang, Deepak Narayanan, Hannah Benita Teufel, Marco Bellagente, Minguk Kang, Taesung Park, Jure Leskovec, Jun-Yan Zhu, Li Fei-Fei, Jiajun Wu, Stefano Ermon, Percy Liang:
Holistic Evaluation of Text-To-Image Models. CoRR abs/2311.04287 (2023) - [i110]Sharon Lee, Yunzhi Zhang, Shangzhe Wu, Jiajun Wu:
Language-Informed Visual Concept Learning. CoRR abs/2312.03587 (2023) - [i109]Hong-Xing Yu, Haoyi Duan, Junhwa Hur, Kyle Sargent, Michael Rubinstein, William T. Freeman, Forrester Cole, Deqing Sun, Noah Snavely, Jiajun Wu, Charles Herrmann:
WonderJourney: Going from Anywhere to Everywhere. CoRR abs/2312.03884 (2023) - [i108]Jiaman Li, Alexander Clegg, Roozbeh Mottaghi, Jiajun Wu, Xavier Puig, C. Karen Liu:
Controllable Human-Object Interaction Synthesis. CoRR abs/2312.03913 (2023) - [i107]Yunhao Ge, Hong-Xing Yu, Cheng Zhao, Yuliang Guo, Xinyu Huang, Liu Ren, Laurent Itti, Jiajun Wu:
3D Copy-Paste: Physically Plausible Object Insertion for Monocular 3D Detection. CoRR abs/2312.05277 (2023) - [i106]Hong-Xing Yu, Yang Zheng, Yuan Gao, Yitong Deng, Bo Zhu, Jiajun Wu:
Inferring Hybrid Neural Fluid Fields from Videos. CoRR abs/2312.06561 (2023) - [i105]Roya Firoozi, Johnathan Tucker, Stephen Tian, Anirudha Majumdar, Jiankai Sun, Weiyu Liu, Yuke Zhu, Shuran Song, Ashish Kapoor, Karol Hausman, Brian Ichter, Danny Driess, Jiajun Wu, Cewu Lu, Mac Schwager:
Foundation Models in Robotics: Applications, Challenges, and the Future. CoRR abs/2312.07843 (2023) - [i104]Yue Yang, Fan-Yun Sun, Luca Weihs, Eli VanderBilt, Alvaro Herrasti, Winson Han, Jiajun Wu, Nick Haber, Ranjay Krishna, Lingjie Liu, Chris Callison-Burch, Mark Yatskar, Aniruddha Kembhavi, Christopher Clark:
Holodeck: Language Guided Generation of 3D Embodied AI Environments. CoRR abs/2312.09067 (2023) - [i103]Ziang Liu, Genggeng Zhou, Jeff He, Tobia Marcucci, Li Fei-Fei, Jiajun Wu, Yunzhu Li:
Model-Based Control with Sparse Neural Dynamics. CoRR abs/2312.12791 (2023) - [i102]Zhecheng Wang, Rajanie Prabha, Tianyuan Huang, Jiajun Wu, Ram Rajagopal:
SkyScript: A Large and Semantically Diverse Vision-Language Dataset for Remote Sensing. CoRR abs/2312.12856 (2023) - [i101]Keqiang Sun, Dor Litvak, Yunzhi Zhang, Hongsheng Li, Jiajun Wu, Shangzhe Wu:
Ponymation: Learning 3D Animal Motions from Unlabeled Online Videos. CoRR abs/2312.13604 (2023) - [i100]Yitong Deng, Hong-Xing Yu, Diyang Zhang, Jiajun Wu, Bo Zhu:
Fluid Simulation on Neural Flow Maps. CoRR abs/2312.14635 (2023) - 2022
- [c111]Chengshu Li, Ruohan Zhang, Josiah Wong, Cem Gokmen, Sanjana Srivastava, Roberto Martín-Martín, Chen Wang, Gabrael Levine, Michael Lingelbach, Jiankai Sun, Mona Anvari, Minjune Hwang, Manasi Sharma, Arman Aydin, Dhruva Bansal, Samuel Hunter, Kyu-Young Kim, Alan Lou, Caleb R. Matthews, Ivan Villa-Renteria, Jerry Huayang Tang, Claire Tang, Fei Xia, Silvio Savarese, Hyowon Gweon, C. Karen Liu, Jiajun Wu, Li Fei-Fei:
BEHAVIOR-1K: A Benchmark for Embodied AI with 1, 000 Everyday Activities and Realistic Simulation. CoRL 2022: 80-93 - [c110]Ruohan Zhang, Dhruva Bansal, Yilun Hao, Ayano Hiranaka, Jialu Gao, Chen Wang, Roberto Martín-Martín, Li Fei-Fei, Jiajun Wu:
A Dual Representation Framework for Robot Learning with Human Guidance. CoRL 2022: 738-750 - [c109]Hao Li, Yizhi Zhang, Junzhe Zhu, Shaoxiong Wang, Michelle A. Lee, Huazhe Xu, Edward H. Adelson, Li Fei-Fei, Ruohan Gao, Jiajun Wu:
See, Hear, and Feel: Smart Sensory Fusion for Robotic Manipulation. CoRL 2022: 1368-1378 - [c108]Hong-Xing Yu, Jiajun Wu, Li Yi:
Rotationally Equivariant 3D Object Detection. CVPR 2022: 1446-1454 - [c107]Shyamal Buch, Cristóbal Eyzaguirre, Adrien Gaidon, Jiajun Wu, Li Fei-Fei, Juan Carlos Niebles:
Revisiting the "Video" in Video-Language Understanding. CVPR 2022: 2907-2917 - [c106]Ruohan Gao, Zilin Si, Yen-Yu Chang, Samuel Clarke, Jeannette Bohg, Li Fei-Fei, Wenzhen Yuan, Jiajun Wu:
ObjectFolder 2.0: A Multisensory Object Dataset for Sim2Real Transfer. CVPR 2022: 10588-10598 - [c105]Sumith Kulal, Jiayuan Mao, Alex Aiken, Jiajun Wu:
Programmatic Concept Learning for Human Motion Description and Synthesis. CVPR 2022: 13833-13842 - [c104]Yunzhi Zhang, Jiajun Wu:
Video Extrapolation in Space and Time. ECCV (16) 2022: 313-333 - [c103]Ruocheng Wang, Yunzhi Zhang, Jiayuan Mao, Chin-Yi Cheng, Jiajun Wu:
Translating a Visual LEGO Manual to a Machine-Executable Plan. ECCV (37) 2022: 677-694 - [c102]Honglin Chen, Rahul Venkatesh, Yoni Friedman, Jiajun Wu, Joshua B. Tenenbaum, Daniel L. K. Yamins, Daniel M. Bear:
Unsupervised Segmentation in Real-World Images via Spelke Object Inference. ECCV (29) 2022: 719-735 - [c101]Kyle Hsu, Moo Jin Kim, Rafael Rafailov, Jiajun Wu, Chelsea Finn:
Vision-Based Manipulators Need to Also See from Their Hands. ICLR 2022 - [c100]Chenlin Meng, Yutong He, Yang Song, Jiaming Song, Jiajun Wu, Jun-Yan Zhu, Stefano Ermon:
SDEdit: Guided Image Synthesis and Editing with Stochastic Differential Equations. ICLR 2022 - [c99]Hong-Xing Yu, Leonidas J. Guibas, Jiajun Wu:
Unsupervised Discovery of Object Radiance Fields. ICLR 2022 - [c98]Guangxuan Xiao, Leslie Pack Kaelbling, Jiajun Wu, Jiayuan Mao:
Sparse and Local Networks for Hypergraph Reasoning. LoG 2022: 34 - [c97]Can Chang, Ni Mu, Jiajun Wu, Ling Pan, Huazhe Xu:
E-MAPP: Efficient Multi-Agent Reinforcement Learning with Parallel Program Guidance. NeurIPS 2022 - [c96]Boyang Deng, Sumith Kulal, Zhengyang Dong, Congyue Deng, Yonglong Tian, Jiajun Wu:
Unsupervised Learning of Shape Programs with Repeatable Implicit Parts. NeurIPS 2022 - [c95]Joy Hsu, Jiajun Wu, Noah D. Goodman:
Geoclidean: Few-Shot Generalization in Euclidean Geometry. NeurIPS 2022 - [c94]Zelun Luo, Zane Durante, Linden Li, Wanze Xie, Ruochen Liu, Emily Jin, Zhuoyi Huang, Lun Yu Li, Jiajun Wu, Juan Carlos Niebles, Ehsan Adeli, Fei-Fei Li:
MOMA-LRG: Language-Refined Graphs for Multi-Object Multi-Actor Activity Parsing. NeurIPS 2022 - [c93]Jiayuan Mao, Xuelin Yang, Xikun Zhang, Noah D. Goodman, Jiajun Wu:
CLEVRER-Humans: Describing Physical and Causal Events the Human Way. NeurIPS 2022 - [c92]Fan-Yun Sun, Isaac Kauvar, Ruohan Zhang, Jiachen Li, Mykel J. Kochenderfer, Jiajun Wu, Nick Haber:
Interaction Modeling with Multiplex Attention. NeurIPS 2022 - [c91]Ruocheng Wang, Yunzhi Zhang, Jiayuan Mao, Ran Zhang, Chin-Yi Cheng, Jiajun Wu:
IKEA-Manual: Seeing Shape Assembly Step by Step. NeurIPS 2022 - [c90]Haochen Shi, Huazhe Xu, Zhiao Huang, Yunzhu Li, Jiajun Wu:
RoboCraft: Learning to See, Simulate, and Shape Elasto-Plastic Objects with Graph Networks. Robotics: Science and Systems 2022 - [c89]Sifan Ye, Yixing Wang, Jiaman Li, Dennis Park, C. Karen Liu, Huazhe Xu, Jiajun Wu:
Scene Synthesis from Human Motion. SIGGRAPH Asia 2022: 26:1-26:9 - [i99]Jiayuan Mao, Haoyue Shi, Jiajun Wu, Roger P. Levy, Joshua B. Tenenbaum:
Grammar-Based Grounded Lexicon Learning. CoRR abs/2202.08806 (2022) - [i98]Kyle Hsu, Moo Jin Kim, Rafael Rafailov, Jiajun Wu, Chelsea Finn:
Vision-Based Manipulators Need to Also See from Their Hands. CoRR abs/2203.12677 (2022) - [i97]Ruohan Gao, Zilin Si, Yen-Yu Chang, Samuel Clarke, Jeannette Bohg, Li Fei-Fei, Wenzhen Yuan, Jiajun Wu:
ObjectFolder 2.0: A Multisensory Object Dataset for Sim2Real Transfer. CoRR abs/2204.02389 (2022) - [i96]Hong-Xing Yu, Jiajun Wu, Li Yi:
Rotationally Equivariant 3D Object Detection. CoRR abs/2204.13630 (2022) - [i95]Yunzhi Zhang, Jiajun Wu:
Video Extrapolation in Space and Time. CoRR abs/2205.02084 (2022) - [i94]Haochen Shi, Huazhe Xu, Zhiao Huang, Yunzhu Li, Jiajun Wu:
RoboCraft: Learning to See, Simulate, and Shape Elasto-Plastic Objects with Graph Networks. CoRR abs/2205.02909 (2022) - [i93]Cameron Smith, Hong-Xing Yu, Sergey Zakharov, Frédo Durand, Joshua B. Tenenbaum, Jiajun Wu, Vincent Sitzmann:
Unsupervised Discovery and Composition of Object Light Fields. CoRR abs/2205.03923 (2022) - [i92]Honglin Chen, Rahul Venkatesh, Yoni Friedman, Jiajun Wu, Joshua B. Tenenbaum, Daniel L. K. Yamins, Daniel M. Bear:
Unsupervised Segmentation in Real-World Images via Spelke Object Inference. CoRR abs/2205.08515 (2022) - [i91]Shyamal Buch, Cristóbal Eyzaguirre, Adrien Gaidon, Jiajun Wu, Li Fei-Fei, Juan Carlos Niebles:
Revisiting the "Video" in Video-Language Understanding. CoRR abs/2206.01720 (2022) - [i90]Ziang Liu, Roberto Martín-Martín, Fei Xia, Jiajun Wu, Li Fei-Fei:
BEHAVIOR in Habitat 2.0: Simulator-Independent Logical Task Description for Benchmarking Embodied AI Agents. CoRR abs/2206.06489 (2022) - [i89]Agrim Gupta, Stephen Tian, Yunzhi Zhang, Jiajun Wu, Roberto Martín-Martín, Li Fei-Fei:
MaskViT: Masked Visual Pre-Training for Video Prediction. CoRR abs/2206.11894 (2022) - [i88]Sumith Kulal, Jiayuan Mao, Alex Aiken, Jiajun Wu:
Programmatic Concept Learning for Human Motion Description and Synthesis. CoRR abs/2206.13502 (2022) - [i87]Ruocheng Wang, Yunzhi Zhang, Jiayuan Mao, Chin-Yi Cheng, Jiajun Wu:
Translating a Visual LEGO Manual to a Machine-Executable Plan. CoRR abs/2207.12572 (2022) - [i86]Fan-Yun Sun, Isaac Kauvar, Ruohan Zhang, Jiachen Li, Mykel J. Kochenderfer, Jiajun Wu, Nick Haber:
Interaction Modeling with Multiplex Attention. CoRR abs/2208.10660 (2022) - [i85]Chen Wang, Dasong Gao, Kuan Xu, Junyi Geng, Yaoyu Hu, Yuheng Qiu, Bowen Li, Fan Yang, Brady G. Moon, Abhinav Pandey, Aryan, Jiahe Xu, Tianhao Wu, Haonan He, Daning Huang, Zhongqiang Ren, Shibo Zhao, Taimeng Fu, Pranay Reddy, Xiao Lin, Wenshan Wang, Jingnan Shi, Rajat Talak, Han Wang, Huai Yu, Shanzhao Wang, Ananth Kashyap, Rohan Bandaru, Karthik Dantu, Jiajun Wu, Luca Carlone, Marco Hutter, Sebastian A. Scherer:
PyPose: A Library for Robot Learning with Physics-based Optimization. CoRR abs/2209.15428 (2022) - [i84]Matt Deitke, Dhruv Batra, Yonatan Bisk, Tommaso Campari, Angel X. Chang, Devendra Singh Chaplot, Changan Chen, Claudia Pérez-D'Arpino, Kiana Ehsani, Ali Farhadi, Li Fei-Fei, Anthony G. Francis, Chuang Gan, Kristen Grauman, David Hall, Winson Han, Unnat Jain, Aniruddha Kembhavi, Jacob Krantz, Stefan Lee, Chengshu Li, Sagnik Majumder, Oleksandr Maksymets, Roberto Martín-Martín, Roozbeh Mottaghi, Sonia Raychaudhuri, Mike Roberts, Silvio Savarese, Manolis Savva, Mohit Shridhar, Niko Sünderhauf, Andrew Szot, Ben Talbot, Joshua B. Tenenbaum, Jesse Thomason, Alexander Toshev, Joanne Truong, Luca Weihs, Jiajun Wu:
Retrospectives on the Embodied AI Workshop. CoRR abs/2210.06849 (2022) - [i83]Simon Le Cleac'h, Hong-Xing Yu, Michelle Guo, Taylor A. Howell, Ruohan Gao, Jiajun Wu, Zachary Manchester, Mac Schwager:
Differentiable Physics Simulation of Dynamics-Augmented Neural Objects. CoRR abs/2210.09420 (2022) - [i82]Christopher Agia, Toki Migimatsu, Jiajun Wu, Jeannette Bohg:
TAPS: Task-Agnostic Policy Sequencing. CoRR abs/2210.12250 (2022) - [i81]Joy Hsu, Jiajun Wu, Noah D. Goodman:
Geoclidean: Few-Shot Generalization in Euclidean Geometry. CoRR abs/2211.16663 (2022) - [i80]J. Ryan Shue, Eric Ryan Chan, Ryan Po, Zachary Ankner, Jiajun Wu, Gordon Wetzstein:
3D Neural Field Generation using Triplane Diffusion. CoRR abs/2211.16677 (2022) - [i79]Can Chang, Ni Mu, Jiajun Wu, Ling Pan, Huazhe Xu:
E-MAPP: Efficient Multi-Agent Reinforcement Learning with Parallel Program Guidance. CoRR abs/2212.02064 (2022) - [i78]Hao Li, Yizhi Zhang, Junzhe Zhu, Shaoxiong Wang, Michelle A. Lee, Huazhe Xu, Edward H. Adelson, Li Fei-Fei, Ruohan Gao, Jiajun Wu:
See, Hear, and Feel: Smart Sensory Fusion for Robotic Manipulation. CoRR abs/2212.03858 (2022) - [i77]Jiaman Li, C. Karen Liu, Jiajun Wu:
Ego-Body Pose Estimation via Ego-Head Pose Estimation. CoRR abs/2212.04636 (2022) - [i76]Ziyuan Huang, Zhengping Zhou, Yung-Yu Chuang, Jiajun Wu, C. Karen Liu:
Physically Plausible Animation of Human Upper Body from a Single Image. CoRR abs/2212.04741 (2022) - [i75]Yunzhi Zhang, Shangzhe Wu, Noah Snavely, Jiajun Wu:
Seeing a Rose in Five Thousand Ways. CoRR abs/2212.04965 (2022) - [i74]Le Xue, Mingfei Gao, Chen Xing, Roberto Martín-Martín, Jiajun Wu, Caiming Xiong, Ran Xu, Juan Carlos Niebles, Silvio Savarese:
ULIP: Learning Unified Representation of Language, Image and Point Cloud for 3D Understanding. CoRR abs/2212.05171 (2022) - 2021
- [j9]Jiajun Wu:
Learning to see the physical world. AI Matters 7(1): 21-24 (2021) - [c88]Zelin Zhao, Chuang Gan, Jiajun Wu, Xiaoxiao Guo, Joshua B. Tenenbaum:
Augmenting Policy Learning with Routines Discovered from a Single Demonstration. AAAI 2021: 11024-11032 - [c87]Ruocheng Wang, Jiayuan Mao, Samuel Gershman, Jiajun Wu:
Language-Mediated, Object-Centric Representation Learning. ACL/IJCNLP (Findings) 2021: 2033-2046 - [c86]Chengshu Li, Fei Xia, Roberto Martín-Martín, Michael Lingelbach, Sanjana Srivastava, Bokui Shen, Kent Elliott Vainio, Cem Gokmen, Gokul Dharan, Tanish Jain, Andrey Kurenkov, C. Karen Liu, Hyowon Gweon, Jiajun Wu, Li Fei-Fei, Silvio Savarese:
iGibson 2.0: Object-Centric Simulation for Robot Learning of Everyday Household Tasks. CoRL 2021: 455-465 - [c85]Ruohan Gao, Yen-Yu Chang, Shivani Mall, Li Fei-Fei, Jiajun Wu:
ObjectFolder: A Dataset of Objects with Implicit Visual, Auditory, and Tactile Representations. CoRL 2021: 466-476 - [c84]Sanjana Srivastava, Chengshu Li, Michael Lingelbach, Roberto Martín-Martín, Fei Xia, Kent Elliott Vainio, Zheng Lian, Cem Gokmen, Shyamal Buch, C. Karen Liu, Silvio Savarese, Hyowon Gweon, Jiajun Wu, Li Fei-Fei:
BEHAVIOR: Benchmark for Everyday Household Activities in Virtual, Interactive, and Ecological Environments. CoRL 2021: 477-490 - [c83]Sergey Zakharov, Rares Andrei Ambrus, Vitor Guizilini, Dennis Park, Wadim Kehl, Frédo Durand, Joshua B. Tenenbaum, Vincent Sitzmann, Jiajun Wu, Adrien Gaidon:
Single-Shot Scene Reconstruction. CoRL 2021: 501-512 - [c82]Samuel Clarke, Negin Heravi, Mark Rau, Ruohan Gao, Jiajun Wu, Doug L. James, Jeannette Bohg:
DiffImpact: Differentiable Rendering and Identification of Impact Sounds. CoRL 2021: 662-673 - [c81]Yifan Wang, Andrew Liu, Richard Tucker, Jiajun Wu, Brian L. Curless, Steven M. Seitz, Noah Snavely:
Repopulating Street Scenes. CVPR 2021: 5110-5119 - [c80]Eric R. Chan, Marco Monteiro, Petr Kellnhofer, Jiajun Wu, Gordon Wetzstein:
Pi-GAN: Periodic Implicit Generative Adversarial Networks for 3D-Aware Image Synthesis. CVPR 2021: 5799-5809 - [c79]Shangzhe Wu, Ameesh Makadia, Jiajun Wu, Noah Snavely, Richard Tucker, Angjoo Kanazawa:
De-Rendering the World's Revolutionary Artefacts. CVPR 2021: 6338-6347 - [c78]Sumith Kulal, Jiayuan Mao, Alex Aiken, Jiajun Wu:
Hierarchical Motion Understanding via Motion Programs. CVPR 2021: 6568-6576 - [c77]Tomas Jakab, Richard Tucker, Ameesh Makadia, Jiajun Wu, Noah Snavely, Angjoo Kanazawa:
KeypointDeformer: Unsupervised 3D Keypoint Discovery for Shape Control. CVPR 2021: 12783-12792 - [c76]Dave Epstein, Jiajun Wu, Cordelia Schmid, Chen Sun:
Learning Temporal Dynamics from Cycles in Narrated Video. ICCV 2021: 1460-1469 - [c75]Linqi Zhou, Yilun Du, Jiajun Wu:
3D Shape Generation and Completion through Point-Voxel Diffusion. ICCV 2021: 5806-5815 - [c74]Yilun Du, Yinan Zhang, Hong-Xing Yu, Joshua B. Tenenbaum, Jiajun Wu:
Neural Radiance Flow for 4D View Synthesis and Video Processing. ICCV 2021: 14304-14314 - [c73]Zhenfang Chen, Jiayuan Mao, Jiajun Wu, Kwan-Yee Kenneth Wong, Joshua B. Tenenbaum, Chuang Gan:
Grounding Physical Concepts of Objects and Events Through Dynamic Visual Reasoning. ICLR 2021 - [c72]Yilun Du, Kevin A. Smith, Tomer D. Ullman, Joshua B. Tenenbaum, Jiajun Wu:
Unsupervised Discovery of 3D Physical Objects from Video. ICLR 2021 - [c71]Jiayuan Mao, Zhezheng Luo, Chuang Gan, Joshua B. Tenenbaum, Jiajun Wu, Leslie Pack Kaelbling, Tomer D. Ullman:
Temporal and Object Quantification Networks. IJCAI 2021: 2804-2811 - [c70]Jiayuan Mao, Freda Shi, Jiajun Wu, Roger Levy, Josh Tenenbaum:
Grammar-Based Grounded Lexicon Learning. NeurIPS 2021: 7865-7878 - [c69]Yifeng Jiang, Michelle Guo, Jiangshan Li, Ioannis Exarchos, Jiajun Wu, C. Karen Liu:
DASH: Modularized Human Manipulation Simulation with Vision and Language for Embodied AI. SCA 2021: 1:1-1:12 - [c68]Simon S. Du, Wei Hu, Zhiyuan Li, Ruoqi Shen, Zhao Song, Jiajun Wu:
When is particle filtering efficient for planning in partially observed linear dynamical systems? UAI 2021: 728-737 - [i73]Dave Epstein, Jiajun Wu, Cordelia Schmid, Chen Sun:
Learning Temporal Dynamics from Cycles in Narrated Video. CoRR abs/2101.02337 (2021) - [i72]Yifan Wang, Andrew Liu, Richard Tucker, Jiajun Wu, Brian L. Curless, Steven M. Seitz, Noah Snavely:
Repopulating Street Scenes. CoRR abs/2103.16183 (2021) - [i71]Zhenfang Chen, Jiayuan Mao, Jiajun Wu, Kwan-Yee Kenneth Wong, Joshua B. Tenenbaum, Chuang Gan:
Grounding Physical Concepts of Objects and Events Through Dynamic Visual Reasoning. CoRR abs/2103.16564 (2021) - [i70]Linqi Zhou, Yilun Du, Jiajun Wu:
3D Shape Generation and Completion through Point-Voxel Diffusion. CoRR abs/2104.03670 (2021) - [i69]Shangzhe Wu, Ameesh Makadia, Jiajun Wu, Noah Snavely, Richard Tucker, Angjoo Kanazawa:
De-rendering the World's Revolutionary Artefacts. CoRR abs/2104.03954 (2021) - [i68]Sumith Kulal, Jiayuan Mao, Alex Aiken, Jiajun Wu:
Hierarchical Motion Understanding via Motion Programs. CoRR abs/2104.11216 (2021) - [i67]Tomas Jakab, Richard Tucker, Ameesh Makadia, Jiajun Wu, Noah Snavely, Angjoo Kanazawa:
KeypointDeformer: Unsupervised 3D Keypoint Discovery for Shape Control. CoRR abs/2104.11224 (2021) - [i66]Jiayuan Mao, Zhezheng Luo, Chuang Gan, Joshua B. Tenenbaum, Jiajun Wu, Leslie Pack Kaelbling, Tomer D. Ullman:
Temporal and Object Quantification Networks. CoRR abs/2106.05891 (2021) - [i65]Hong-Xing Yu, Leonidas J. Guibas, Jiajun Wu:
Unsupervised Discovery of Object Radiance Fields. CoRR abs/2107.07905 (2021) - [i64]Chenlin Meng, Yang Song, Jiaming Song, Jiajun Wu, Jun-Yan Zhu, Stefano Ermon:
SDEdit: Image Synthesis and Editing with Stochastic Differential Equations. CoRR abs/2108.01073 (2021) - [i63]Chengshu Li, Fei Xia, Roberto Martín-Martín, Michael Lingelbach, Sanjana Srivastava, Bokui Shen, Kent Vainio, Cem Gokmen, Gokul Dharan, Tanish Jain, Andrey Kurenkov, C. Karen Liu, Hyowon Gweon, Jiajun Wu, Li Fei-Fei, Silvio Savarese:
iGibson 2.0: Object-Centric Simulation for Robot Learning of Everyday Household Tasks. CoRR abs/2108.03272 (2021) - [i62]Sanjana Srivastava, Chengshu Li, Michael Lingelbach, Roberto Martín-Martín, Fei Xia, Kent Vainio, Zheng Lian, Cem Gokmen, Shyamal Buch, C. Karen Liu, Silvio Savarese, Hyowon Gweon, Jiajun Wu, Li Fei-Fei:
BEHAVIOR: Benchmark for Everyday Household Activities in Virtual, Interactive, and Ecological Environments. CoRR abs/2108.03332 (2021) - [i61]Yifeng Jiang, Michelle Guo, Jiangshan Li, Ioannis Exarchos, Jiajun Wu, C. Karen Liu:
DASH: Modularized Human Manipulation Simulation with Vision and Language for Embodied AI. CoRR abs/2108.12536 (2021) - [i60]Ruohan Gao, Yen-Yu Chang, Shivani Mall, Li Fei-Fei, Jiajun Wu:
ObjectFolder: A Dataset of Objects with Implicit Visual, Auditory, and Tactile Representations. CoRR abs/2109.07991 (2021) - 2020
- [j8]Siddhartha Chaudhuri, Daniel Ritchie, Jiajun Wu, Kai Xu, Hao (Richard) Zhang:
Learning Generative Models of 3D Structures. Comput. Graph. Forum 39(2): 643-666 (2020) - [c67]Kevin Smith, Lingjie Mei, Shunyu Yao, Jiajun Wu, Elizabeth S. Spelke, Josh Tenenbaum, Tomer D. Ullman:
The fine structure of surprise in intuitive physics: when, why, and how much? CogSci 2020 - [c66]Zhenjia Xu, Zhanpeng He, Jiajun Wu, Shuran Song:
Learning 3D Dynamic Scene Representations for Robot Manipulation. CoRL 2020: 126-142 - [c65]Andrew Luo, Zhoutong Zhang, Jiajun Wu, Joshua B. Tenenbaum:
End-to-End Optimization of Scene Layout. CVPR 2020: 3753-3762 - [c64]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 - [c63]Yunbo Wang, Jiajun Wu, Mingsheng Long, Joshua B. Tenenbaum:
Probabilistic Video Prediction From Noisy Data With a Posterior Confidence. CVPR 2020: 10827-10836 - [c62]Yunzhu Li, Hao He, Jiajun Wu, Dina Katabi, Antonio Torralba:
Learning Compositional Koopman Operators for Model-Based Control. ICLR 2020 - [c61]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 - [c60]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 - [c59]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 - [c58]Alina Kloss, Maria Bauzá, Jiajun Wu, Joshua B. Tenenbaum, Alberto Rodriguez, Jeannette Bohg:
Accurate Vision-based Manipulation through Contact Reasoning. ICRA 2020: 6738-6744 - [c57]Chuang Gan, Yiwei Zhang, Jiajun Wu, Boqing Gong, Joshua B. Tenenbaum:
Look, Listen, and Act: Towards Audio-Visual Embodied Navigation. ICRA 2020: 9701-9707 - [c56]Yunbo Wang, Bo Liu, Jiajun Wu, Yuke Zhu, Simon S. Du, Li Fei-Fei, Joshua B. Tenenbaum:
DualSMC: Tunneling Differentiable Filtering and Planning under Continuous POMDPs. IJCAI 2020: 4190-4198 - [c55]Daniel Bear, Chaofei Fan, Damian Mrowca, Yunzhu Li, Seth Alter, Aran Nayebi, Jeremy Schwartz, Li Fei-Fei, Jiajun Wu, Josh Tenenbaum, Daniel L. K. Yamins:
Learning Physical Graph Representations from Visual Scenes. NeurIPS 2020 - [c54]Yikai Li, Jiayuan Mao, Xiuming Zhang, Bill Freeman, Josh Tenenbaum, Noah Snavely, Jiajun Wu:
Multi-Plane Program Induction with 3D Box Priors. NeurIPS 2020 - [i59]Chi Han, Jiayuan Mao, Chuang Gan, Joshua B. Tenenbaum, Jiajun Wu:
Visual Concept-Metaconcept Learning. CoRR abs/2002.01464 (2020) - [i58]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) - [i57]Simon S. Du, Wei Hu, Zhiyuan Li, Ruoqi Shen, Zhao Song, Jiajun Wu:
When is Particle Filtering Efficient for POMDP Sequential Planning? CoRR abs/2006.05975 (2020) - [i56]Daniel M. Bear, Chaofei Fan, Damian Mrowca, Yunzhu Li, Seth Alter, Aran Nayebi, Jeremy Schwartz, Li Fei-Fei, Jiajun Wu, Joshua B. Tenenbaum, Daniel L. K. Yamins:
Learning Physical Graph Representations from Visual Scenes. CoRR abs/2006.12373 (2020) - [i55]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) - [i54]Andrew Luo, Zhoutong Zhang, Jiajun Wu, Joshua B. Tenenbaum:
End-to-End Optimization of Scene Layout. CoRR abs/2007.11744 (2020) - [i53]Yilun Du, Kevin Smith, Tomer D. Ullman, Joshua B. Tenenbaum, Jiajun Wu:
Unsupervised Discovery of 3D Physical Objects from Video. CoRR abs/2007.12348 (2020) - [i52]Yue Wang, Alireza Fathi, Jiajun Wu, Thomas A. Funkhouser, Justin Solomon:
Multi-Frame to Single-Frame: Knowledge Distillation for 3D Object Detection. CoRR abs/2009.11859 (2020) - [i51]Zhenjia Xu, Zhanpeng He, Jiajun Wu, Shuran Song:
Learning 3D Dynamic Scene Representations for Robot Manipulation. CoRR abs/2011.01968 (2020) - [i50]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) - [i49]Eric R. Chan, Marco Monteiro, Petr Kellnhofer, Jiajun Wu, Gordon Wetzstein:
pi-GAN: Periodic Implicit Generative Adversarial Networks for 3D-Aware Image Synthesis. CoRR abs/2012.00926 (2020) - [i48]Michelle Guo, Alireza Fathi, Jiajun Wu, Thomas A. Funkhouser:
Object-Centric Neural Scene Rendering. CoRR abs/2012.08503 (2020) - [i47]Yilun Du, Yinan Zhang, Hong-Xing Yu, Joshua B. Tenenbaum, Jiajun Wu:
Neural Radiance Flow for 4D View Synthesis and Video Processing. CoRR abs/2012.09790 (2020) - [i46]Jianwei Yang, Jiayuan Mao, Jiajun Wu, Devi Parikh, David D. Cox, Joshua B. Tenenbaum, Chuang Gan:
Object-Centric Diagnosis of Visual Reasoning. CoRR abs/2012.11587 (2020) - [i45]Zelin Zhao, Chuang Gan, Jiajun Wu, Xiaoxiao Guo, Joshua B. Tenenbaum:
Augmenting Policy Learning with Routines Discovered from a Demonstration. CoRR abs/2012.12469 (2020) - [i44]Ruocheng Wang, Jiayuan Mao, Samuel J. Gershman, Jiajun Wu:
Language-Mediated, Object-Centric Representation Learning. CoRR abs/2012.15814 (2020)
2010 – 2019
- 2019
- [j7]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) - [j6]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) - [j5]M. Oller, Jiajun Wu, Z. Wu, Joshua B. Tenenbaum, Alberto Rodriguez:
See, feel, act: Hierarchical learning for complex manipulation skills with multisensory fusion. Sci. Robotics 4(26) (2019) - [c53]Kevin Smith, Mario Belledonne, Ilker Yildirim, Jiajun Wu, Josh Tenenbaum:
Real-time inference of physical properties in dynamic scenes. CogSci 2019: 3362 - [c52]Rishi Veerapaneni, John D. Co-Reyes, Michael Chang, Michael Janner, Chelsea Finn, Jiajun Wu, Joshua B. Tenenbaum, Sergey Levine:
Entity Abstraction in Visual Model-Based Reinforcement Learning. CoRL 2019: 1439-1456 - [c51]Xiuming Zhang, Jiayuan Mao, Yikai Li, William T. Freeman, Joshua B. Tenenbaum, Jiajun Wu:
Program-Guided Image Manipulators. ICCV 2019: 4029-4038 - [c50]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 - [c49]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 - [c48]Yunchao Liu, Zheng Wu, Daniel Ritchie, William T. Freeman, Joshua B. Tenenbaum, Jiajun Wu:
Learning to Describe Scenes with Programs. ICLR (Poster) 2019 - [c47]Jiayuan Mao, Chuang Gan, Pushmeet Kohli, Joshua B. Tenenbaum, Jiajun Wu:
The Neuro-Symbolic Concept Learner: Interpreting Scenes, Words, and Sentences From Natural Supervision. ICLR 2019 - [c46]Chen Sun, Per Karlsson, Jiajun Wu, Joshua B. Tenenbaum, Kevin Murphy:
Stochastic Prediction of Multi-Agent Interactions from Partial Observations. ICLR (Poster) 2019 - [c45]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 - [c44]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 - [c43]Sidi Lu, Jiayuan Mao, Joshua B. Tenenbaum, Jiajun Wu:
Neurally-Guided Structure Inference. ICML 2019: 4144-4153 - [c42]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 - [c41]Anurag Ajay, Maria Bauzá, Jiajun Wu, Nima Fazeli, Joshua B. Tenenbaum, Alberto Rodriguez, Leslie Pack Kaelbling:
Combining Physical Simulators and Object-Based Networks for Control. ICRA 2019: 3217-3223 - [c40]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 - [c39]Chi Han, Jiayuan Mao, Chuang Gan, Josh Tenenbaum, Jiajun Wu:
Visual Concept-Metaconcept Learning. NeurIPS 2019: 5002-5013 - [c38]Kevin Smith, Lingjie Mei, Shunyu Yao, Jiajun Wu, Elizabeth S. Spelke, Josh Tenenbaum, Tomer D. Ullman:
Modeling Expectation Violation in Intuitive Physics with Coarse Probabilistic Object Representations. NeurIPS 2019: 8983-8993 - [c37]Zhenjia Xu, Jiajun Wu, Andy Zeng, Joshua B. Tenenbaum, Shuran Song:
DensePhysNet: Learning Dense Physical Object Representations Via Multi-Step Dynamic Interactions. Robotics: Science and Systems 2019 - [i43]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) - [i42]Chen Sun, Per Karlsson, Jiajun Wu, Joshua B. Tenenbaum, Kevin Murphy:
Stochastic Prediction of Multi-Agent Interactions from Partial Observations. CoRR abs/1902.09641 (2019) - [i41]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) - [i40]Anurag Ajay, Maria Bauzá, Jiajun Wu, Nima Fazeli, Joshua B. Tenenbaum, Alberto Rodriguez, Leslie Pack Kaelbling:
Combining Physical Simulators and Object-Based Networks for Control. CoRR abs/1904.06580 (2019) - [i39]Jiayuan Mao, Chuang Gan, Pushmeet Kohli, Joshua B. Tenenbaum, Jiajun Wu:
The Neuro-Symbolic Concept Learner: Interpreting Scenes, Words, and Sentences From Natural Supervision. CoRR abs/1904.12584 (2019) - [i38]Zhenjia Xu, Jiajun Wu, Andy Zeng, Joshua B. Tenenbaum, Shuran Song:
DensePhysNet: Learning Dense Physical Object Representations via Multi-step Dynamic Interactions. CoRR abs/1906.03853 (2019) - [i37]Sidi Lu, Jiayuan Mao, Joshua B. Tenenbaum, Jiajun Wu:
Neurally-Guided Structure Inference. CoRR abs/1906.07304 (2019) - [i36]Jiayuan Mao, Xiuming Zhang, Yikai Li, William T. Freeman, Joshua B. Tenenbaum, Jiajun Wu:
Program-Guided Image Manipulators. CoRR abs/1909.02116 (2019) - [i35]Yunbo Wang, Bo Liu, Jiajun Wu, Yuke Zhu, Simon S. Du, Li Fei-Fei, Joshua B. Tenenbaum:
Dual Sequential Monte Carlo: Tunneling Filtering and Planning in Continuous POMDPs. CoRR abs/1909.13003 (2019) - [i34]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) - [i33]Yunzhu Li, Hao He, Jiajun Wu, Dina Katabi, Antonio Torralba:
Learning Compositional Koopman Operators for Model-Based Control. CoRR abs/1910.08264 (2019) - [i32]Rishi Veerapaneni, John D. Co-Reyes, Michael Chang, Michael Janner, Chelsea Finn, Jiajun Wu, Joshua B. Tenenbaum, Sergey Levine:
Entity Abstraction in Visual Model-Based Reinforcement Learning. CoRR abs/1910.12827 (2019) - [i31]Alina Kloss, Maria Bauzá, Jiajun Wu, Joshua B. Tenenbaum, Alberto Rodriguez, Jeannette Bohg:
Accurate Vision-based Manipulation through Contact Reasoning. CoRR abs/1911.03112 (2019) - [i30]Chuang Gan, Yiwei Zhang, Jiajun Wu, Boqing Gong, Joshua B. Tenenbaum:
Look, Listen, and Act: Towards Audio-Visual Embodied Navigation. CoRR abs/1912.11684 (2019) - 2018
- [j4]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) - [j3]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) - [c36]Zhoutong Zhang, Jiajun Wu, Qiujia Li, Zhengjia Huang, Joshua B. Tenenbaum, William T. Freeman:
Inverting Audio-Visual Simulation for Shape and Material Perception. CVPR Workshops 2018: 2536-2538 - [c35]Xingyuan Sun, Jiajun Wu, Xiuming Zhang, Zhoutong Zhang, Chengkai Zhang, Tianfan Xue, Joshua B. Tenenbaum, William T. Freeman:
Pix3D: Dataset and Methods for Single-Image 3D Shape Modeling. CVPR 2018: 2974-2983 - [c34]Xiang Long, Chuang Gan, Gerard de Melo, Jiajun Wu, Xiao Liu, Shilei Wen:
Attention Clusters: Purely Attention Based Local Feature Integration for Video Classification. CVPR 2018: 7834-7843 - [c33]Zhijian Liu, William T. Freeman, Joshua B. Tenenbaum, Jiajun Wu:
Physical Primitive Decomposition. ECCV (12) 2018: 3-20 - [c32]Jiajun Wu, Chengkai Zhang, Xiuming Zhang, Zhoutong Zhang, William T. Freeman, Joshua B. Tenenbaum:
Learning Shape Priors for Single-View 3D Completion And Reconstruction. ECCV (11) 2018: 673-691 - [c31]Tianfan Xue, Jiajun Wu, Zhoutong Zhang, Chengkai Zhang, Joshua B. Tenenbaum, William T. Freeman:
Seeing Tree Structure from Vibration. ECCV (9) 2018: 762-779 - [c30]Shaoxiong Wang, Jiajun Wu, Xingyuan Sun, Wenzhen Yuan, William T. Freeman, Joshua B. Tenenbaum, Edward H. Adelson:
3D Shape Perception from Monocular Vision, Touch, and Shape Priors. IROS 2018: 1606-1613 - [c29]Anurag Ajay, Jiajun Wu, Nima Fazeli, Maria Bauzá, Leslie Pack Kaelbling, Joshua B. Tenenbaum, Alberto Rodriguez:
Augmenting Physical Simulators with Stochastic Neural Networks: Case Study of Planar Pushing and Bouncing. IROS 2018: 3066-3073 - [c28]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 - [c27]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 - [c26]Yilun Du, Zhijian Liu, Hector Basevi, Ales Leonardis, Bill Freeman, Josh Tenenbaum, Jiajun Wu:
Learning to Exploit Stability for 3D Scene Parsing. NeurIPS 2018: 1733-1743 - [c25]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 - [c24]Xiuming Zhang, Zhoutong Zhang, Chengkai Zhang, Josh Tenenbaum, Bill Freeman, Jiajun Wu:
Learning to Reconstruct Shapes from Unseen Classes. NeurIPS 2018: 2263-2274 - [c23]David Zheng, Vinson Luo, Jiajun Wu, Joshua B. Tenenbaum:
Unsupervised Learning of Latent Physical Properties Using Perception-Prediction Networks. UAI 2018: 497-507 - [c22]Xiuming Zhang, Tali Dekel, Tianfan Xue, Andrew Owens, Qiurui He, Jiajun Wu, Stefanie Mueller, William T. Freeman:
MoSculp: Interactive Visualization of Shape and Time. UIST 2018: 275-285 - [i29]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) - [i28]Xingyuan Sun, Jiajun Wu, Xiuming Zhang, Zhoutong Zhang, Chengkai Zhang, Tianfan Xue, Joshua B. Tenenbaum, William T. Freeman:
Pix3D: Dataset and Methods for Single-Image 3D Shape Modeling. CoRR abs/1804.04610 (2018) - [i27]David Zheng, Vinson Luo, Jiajun Wu, Joshua B. Tenenbaum:
Unsupervised Learning of Latent Physical Properties Using Perception-Prediction Networks. CoRR abs/1807.09244 (2018) - [i26]Tianfan Xue, Jiajun Wu, Katherine L. Bouman, William T. Freeman:
Visual Dynamics: Stochastic Future Generation via Layered Cross Convolutional Networks. CoRR abs/1807.09245 (2018) - [i25]Anurag Ajay, Jiajun Wu, Nima Fazeli, Maria Bauzá, Leslie Pack Kaelbling, Joshua B. Tenenbaum, Alberto Rodriguez:
Augmenting Physical Simulators with Stochastic Neural Networks: Case Study of Planar Pushing and Bouncing. CoRR abs/1808.03246 (2018) - [i24]Shaoxiong Wang, Jiajun Wu, Xingyuan Sun, Wenzhen Yuan, William T. Freeman, Joshua B. Tenenbaum, Edward H. Adelson:
3D Shape Perception from Monocular Vision, Touch, and Shape Priors. CoRR abs/1808.03247 (2018) - [i23]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) - [i22]Tianfan Xue, Jiajun Wu, Zhoutong Zhang, Chengkai Zhang, Joshua B. Tenenbaum, William T. Freeman:
Seeing Tree Structure from Vibration. CoRR abs/1809.05067 (2018) - [i21]Jiajun Wu, Chengkai Zhang, Xiuming Zhang, Zhoutong Zhang, William T. Freeman, Joshua B. Tenenbaum:
Learning Shape Priors for Single-View 3D Completion and Reconstruction. CoRR abs/1809.05068 (2018) - [i20]Zhijian Liu, William T. Freeman, Joshua B. Tenenbaum, Jiajun Wu:
Physical Primitive Decomposition. CoRR abs/1809.05070 (2018) - [i19]Xiuming Zhang, Tali Dekel, Tianfan Xue, Andrew Owens, Qiurui He, Jiajun Wu, Stefanie Mueller, William T. Freeman:
MoSculp: Interactive Visualization of Shape and Time. CoRR abs/1809.05491 (2018) - [i18]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) - [i17]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. CoRR abs/1810.01054 (2018) - [i16]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) - [i15]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) - [i14]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) - [i13]Michael Janner, Sergey Levine, William T. Freeman, Joshua B. Tenenbaum, Chelsea Finn, Jiajun Wu:
Reasoning About Physical Interactions with Object-Oriented Prediction and Planning. CoRR abs/1812.10972 (2018) - [i12]Xiuming Zhang, Zhoutong Zhang, Chengkai Zhang, Joshua B. Tenenbaum, William T. Freeman, Jiajun Wu:
Learning to Reconstruct Shapes from Unseen Classes. CoRR abs/1812.11166 (2018) - 2017
- [c21]Amir Arsalan Soltani, Haibin Huang, Jiajun Wu, Tejas D. Kulkarni, Joshua B. Tenenbaum:
Synthesizing 3D Shapes via Modeling Multi-view Depth Maps and Silhouettes with Deep Generative Networks. CVPR 2017: 2511-2519 - [c20]Jiajun Wu, Joshua B. Tenenbaum, Pushmeet Kohli:
Neural Scene De-rendering. CVPR 2017: 7035-7043 - [c19]Zhoutong Zhang, Jiajun Wu, Qiujia Li, Zhengjia Huang, James Traer, Josh H. McDermott, Joshua B. Tenenbaum, William T. Freeman:
Generative Modeling of Audible Shapes for Object Perception. ICCV 2017: 1260-1269 - [c18]Chen Liu, Jiajun Wu, Pushmeet Kohli, Yasutaka Furukawa:
Raster-to-Vector: Revisiting Floorplan Transformation. ICCV 2017: 2214-2222 - [c17]Jiajun Wu, Erika Lu, Pushmeet Kohli, Bill Freeman, Josh Tenenbaum:
Learning to See Physics via Visual De-animation. NIPS 2017: 153-164 - [c16]Jiajun Wu, Yifan Wang, Tianfan Xue, Xingyuan Sun, Bill Freeman, Josh Tenenbaum:
MarrNet: 3D Shape Reconstruction via 2.5D Sketches. NIPS 2017: 540-550 - [c15]Zhoutong Zhang, Qiujia Li, Zhengjia Huang, Jiajun Wu, Josh Tenenbaum, Bill Freeman:
Shape and Material from Sound. NIPS 2017: 1278-1288 - [c14]Michael Janner, Jiajun Wu, Tejas D. Kulkarni, Ilker Yildirim, Josh Tenenbaum:
Self-Supervised Intrinsic Image Decomposition. NIPS 2017: 5936-5946 - [i11]Jiajun Wu, Yifan Wang, Tianfan Xue, Xingyuan Sun, William T. Freeman, Joshua B. Tenenbaum:
MarrNet: 3D Shape Reconstruction via 2.5D Sketches. CoRR abs/1711.03129 (2017) - [i10]Michael Janner, Jiajun Wu, Tejas D. Kulkarni, Ilker Yildirim, Joshua B. Tenenbaum:
Self-Supervised Intrinsic Image Decomposition. CoRR abs/1711.03678 (2017) - [i9]Tianfan Xue, Baian Chen, Jiajun Wu, Donglai Wei, William T. Freeman:
Video Enhancement with Task-Oriented Flow. CoRR abs/1711.09078 (2017) - [i8]Xiang Long, Chuang Gan, Gerard de Melo, Jiajun Wu, Xiao Liu, Shilei Wen:
Attention Clusters: Purely Attention Based Local Feature Integration for Video Classification. CoRR abs/1711.09550 (2017) - [i7]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) - 2016
- [c13]Jiajun Wu, Joseph J. Lim, Hongyi Zhang, Joshua B. Tenenbaum, William T. Freeman:
Physics 101: Learning Physical Object Properties from Unlabeled Videos. BMVC 2016 - [c12]Renqiao Zhang, Jiajun Wu, Chengkai Zhang, William T. Freeman, Joshua B. Tenenbaum:
A Comparative Evaluation of Approximate Probabilistic Simulation and Deep Neural Networks as Accounts of Human Physical Scene Understanding. CogSci 2016 - [c11]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 - [c10]Andrew Owens, Jiajun Wu, Josh H. McDermott, William T. Freeman, Antonio Torralba:
Ambient Sound Provides Supervision for Visual Learning. ECCV (1) 2016: 801-816 - [c9]Jiajun Wu, Chengkai Zhang, Tianfan Xue, Bill Freeman, Josh Tenenbaum:
Learning a Probabilistic Latent Space of Object Shapes via 3D Generative-Adversarial Modeling. NIPS 2016: 82-90 - [c8]Tianfan Xue, Jiajun Wu, Katherine L. Bouman, Bill Freeman:
Visual Dynamics: Probabilistic Future Frame Synthesis via Cross Convolutional Networks. NIPS 2016: 91-99 - [i6]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) - [i5]Renqiao Zhang, Jiajun Wu, Chengkai Zhang, William T. Freeman, Joshua B. Tenenbaum:
A Comparative Evaluation of Approximate Probabilistic Simulation and Deep Neural Networks as Accounts of Human Physical Scene Understanding. CoRR abs/1605.01138 (2016) - [i4]Tianfan Xue, Jiajun Wu, Katherine L. Bouman, William T. Freeman:
Visual Dynamics: Probabilistic Future Frame Synthesis via Cross Convolutional Networks. CoRR abs/1607.02586 (2016) - [i3]Andrew Owens, Jiajun Wu, Josh H. McDermott, William T. Freeman, Antonio Torralba:
Ambient Sound Provides Supervision for Visual Learning. CoRR abs/1608.07017 (2016) - [i2]Jiajun Wu, Chengkai Zhang, Tianfan Xue, William T. Freeman, Joshua B. Tenenbaum:
Learning a Probabilistic Latent Space of Object Shapes via 3D Generative-Adversarial Modeling. CoRR abs/1610.07584 (2016) - [i1]Chen Liu, Jiajun Wu, Pushmeet Kohli, Yasutaka Furukawa:
Deep Multi-Modal Image Correspondence Learning. CoRR abs/1612.01225 (2016) - 2015
- [j2]Jun-Yan Zhu, Jiajun Wu, Yan Xu, Eric I-Chao Chang, Zhuowen Tu:
Unsupervised Object Class Discovery via Saliency-Guided Multiple Class Learning. IEEE Trans. Pattern Anal. Mach. Intell. 37(4): 862-875 (2015) - [c7]Jiajun Wu, Yinan Yu, Chang Huang, Kai Yu:
Deep multiple instance learning for image classification and auto-annotation. CVPR 2015: 3460-3469 - [c6]Jiajun Wu, Ilker Yildirim, Joseph J. Lim, Bill Freeman, Joshua B. Tenenbaum:
Galileo: Perceiving Physical Object Properties by Integrating a Physics Engine with Deep Learning. NIPS 2015: 127-135 - 2014
- [c5]Jiajun Wu, Junyan Zhu, Zhuowen Tu:
Reverse Image Segmentation: A High-Level Solution to a Low-Level Task. BMVC 2014 - [c4]Jiajun Wu, Yining Wang, Zhulin Li, Zhuowen Tu:
Harvesting Motion Patterns in Still Images from the Internet. CogSci 2014 - [c3]Jiajun Wu, Yibiao Zhao, Jun-Yan Zhu, Siwei Luo, Zhuowen Tu:
MILCut: A Sweeping Line Multiple Instance Learning Paradigm for Interactive Image Segmentation. CVPR 2014: 256-263 - 2013
- [c2]Quannan Li, Jiajun Wu, Zhuowen Tu:
Harvesting Mid-level Visual Concepts from Large-Scale Internet Images. CVPR 2013: 851-858 - 2012
- [j1]Yan Xu, Jiahua Liu, Jiajun Wu, Yue Wang, Zhuowen Tu, Jian-Tao Sun, Junichi Tsujii, Eric I-Chao Chang:
A classification approach to coreference in discharge summaries: 2011 i2b2 challenge. J. Am. Medical Informatics Assoc. 19(5): 897-905 (2012) - [c1]Jun-Yan Zhu, Jiajun Wu, Yichen Wei, Eric I-Chao Chang, Zhuowen Tu:
Unsupervised object class discovery via saliency-guided multiple class learning. CVPR 2012: 3218-3225
Coauthor Index
[c184] [c179] [c167] [i184] [i174] [i173] [c161] [c160] [c158] [c153] [c143] [c137] [c134] [c129] [c128] [c127] [c125] [c123] [c121] [c116] [c113] [i145] [i143] [i141] [i140] [i139] [i136] [i134] [i132] [i131] [i129] [i122] [i120] [i116] [i113] [i111] [i103] [c111] [c110] [c109] [c107] [c106] [c94] [i97] [i91] [i90] [i89] [i84] [i78] [c86] [c85] [c84] [i63] [i62] [i60] [c56] [c55] [i56] [i35]
William T. Freeman
aka: Bill Freeman
aka: Bill Freeman
[c185] [c175] [i179] [i170] [i109] [c64] [c60] [c54] [i55] [i50] [j7] [j6] [c51] [c50] [c48] [c45] [c44] [c40] [i43] [i41] [i36] [j4] [j3] [c36] [c35] [c33] [c32] [c31] [c30] [c28] [c26] [c25] [c24] [c22] [i29] [i28] [i26] [i24] [i23] [i22] [i21] [i20] [i19] [i17] [i14] [i13] [i12] [c19] [c17] [c16] [c15] [i11] [i9] [i7] [c13] [c12] [c11] [c10] [c9] [c8] [i6] [i5] [i4] [i3] [i2] [c6]
[c170] [i177] [i176] [i165] [j15] [c163] [c154] [c152] [c148] [c131] [c119] [i159] [i157] [i156] [i154] [i149] [i128] [i119] [i118] [c105] [c103] [c98] [c93] [c91] [i99] [i88] [i87] [c87] [c78] [c73] [c71] [c70] [i71] [i68] [i66] [c64] [c54] [i59] [i55] [i50] [i46] [i44] [c51] [c47] [c43] [c39] [i39] [i37] [i36]
Roberto Martin Martin
aka: Roberto Martín-Martín
aka: Roberto Martín-Martín
[j19] [i165] [j14] [c163] [c152] [c119] [i157] [i128] [i118] [c102] [i99] [i93] [i92] [i84] [c88] [c83] [c74] [c73] [c72] [c71] [c70] [i71] [i66] [c67] [c65] [c64] [c63] [c61] [c60] [c59] [c58] [c57] [c56] [c55] [c54] [i59] [i58] [i56] [i55] [i54] [i53] [i50] [i47] [i46] [i45] [j5] [c53] [c52] [c51] [c50] [c49] [c48] [c47] [c46] [c45] [c44] [c43] [c42] [c41] [c40] [c39] [c38] [c37] [i43] [i42] [i41] [i40] [i39] [i38] [i37] [i36] [i35] [i34] [i32] [i31] [i30] [j4] [c36] [c35] [c33] [c32] [c31] [c30] [c29] [c28] [c27] [c26] [c25] [c24] [c23] [i29] [i28] [i27] [i25] [i24] [i23] [i22] [i21] [i20] [i18] [i17] [i16] [i15] [i14] [i13] [i12] [c21] [c20] [c19] [c17] [c16] [c15] [c14] [i11] [i10] [c13] [c12] [c11] [c9] [i6] [i5] [i2] [c6]
[j19] [c185] [c184] [c179] [c175] [c174] [c173] [i185] [i183] [i179] [i174] [i170] [i166] [j16] [j14] [j13] [j10] [c147] [c146] [c138] [c135] [c122] [c118] [c117] [c114] [i161] [i160] [i155] [i138] [i125] [i117] [i116] [i115] [i109] [i107] [i106] [i100] [c108] [c99] [i96] [i93] [i83] [c74] [i65] [i47]
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