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Jiajun 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
— 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
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2020 – today
- 2023
- [i102]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) - [i101]Hong-Xing Yu, Samir Agarwala, Charles Herrmann, Richard Szeliski, Noah Snavely, Jiajun Wu, Deqing Sun:
Accidental Light Probes. CoRR abs/2301.05211 (2023) - [i100]Yitong Deng, Hong-Xing Yu, Jiajun Wu, Bo Zhu:
Learning Vortex Dynamics for Fluid Inference and Prediction. CoRR abs/2301.11494 (2023) - 2022
- [c99]Hong-Xing Yu, Jiajun Wu, Li Yi:
Rotationally Equivariant 3D Object Detection. CVPR 2022: 1446-1454 - [c98]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 - [c97]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 - [c96]Sumith Kulal, Jiayuan Mao, Alex Aiken, Jiajun Wu:
Programmatic Concept Learning for Human Motion Description and Synthesis. CVPR 2022: 13833-13842 - [c95]Yunzhi Zhang, Jiajun Wu:
Video Extrapolation in Space and Time. ECCV (16) 2022: 313-333 - [c94]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 - [c93]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 - [c92]Kyle Hsu, Moo Jin Kim, Rafael Rafailov, Jiajun Wu, Chelsea Finn:
Vision-Based Manipulators Need to Also See from Their Hands. ICLR 2022 - [c91]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 - [c90]Hong-Xing Yu, Leonidas J. Guibas, Jiajun Wu:
Unsupervised Discovery of Object Radiance Fields. ICLR 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 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 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,