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DASH: Modularized Human Manipulation Simulation with Vision and Language for Embodied AI


Aug 28, 2021
Yifeng Jiang, Michelle Guo, Jiangshan Li, Ioannis Exarchos, Jiajun Wu, C. Karen Liu

* In The ACM SIGGRAPH / Eurographics Symposium on Computer Animation (SCA 21), September 6~9, 2021, Virtual Event, USA. ACM, New York, NY, USA, 12 pages 
* SCA'2021 

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On the Opportunities and Risks of Foundation Models


Aug 18, 2021
Rishi Bommasani, Drew A. Hudson, Ehsan Adeli, Russ Altman, Simran Arora, Sydney von Arx, Michael S. Bernstein, Jeannette Bohg, Antoine Bosselut, Emma Brunskill, Erik Brynjolfsson, Shyamal Buch, Dallas Card, Rodrigo Castellon, Niladri Chatterji, Annie Chen, Kathleen Creel, Jared Quincy Davis, Dora Demszky, Chris Donahue, Moussa Doumbouya, Esin Durmus, Stefano Ermon, John Etchemendy, Kawin Ethayarajh, Li Fei-Fei, Chelsea Finn, Trevor Gale, Lauren Gillespie, Karan Goel, Noah Goodman, Shelby Grossman, Neel Guha, Tatsunori Hashimoto, Peter Henderson, John Hewitt, Daniel E. Ho, Jenny Hong, Kyle Hsu, Jing Huang, Thomas Icard, Saahil Jain, Dan Jurafsky, Pratyusha Kalluri, Siddharth Karamcheti, Geoff Keeling, Fereshte Khani, Omar Khattab, Pang Wei Kohd, Mark Krass, Ranjay Krishna, Rohith Kuditipudi, Ananya Kumar, Faisal Ladhak, Mina Lee, Tony Lee, Jure Leskovec, Isabelle Levent, Xiang Lisa Li, Xuechen Li, Tengyu Ma, Ali Malik, Christopher D. Manning, Suvir Mirchandani, Eric Mitchell, Zanele Munyikwa, Suraj Nair, Avanika Narayan, Deepak Narayanan, Ben Newman, Allen Nie, Juan Carlos Niebles, Hamed Nilforoshan, Julian Nyarko, Giray Ogut, Laurel Orr, Isabel Papadimitriou, Joon Sung Park, Chris Piech, Eva Portelance, Christopher Potts, Aditi Raghunathan, Rob Reich, Hongyu Ren, Frieda Rong, Yusuf Roohani, Camilo Ruiz, Jack Ryan, Christopher Ré, Dorsa Sadigh, Shiori Sagawa, Keshav Santhanam, Andy Shih, Krishnan Srinivasan, Alex Tamkin, Rohan Taori, Armin W. Thomas, Florian Tramèr, Rose E. Wang, William Wang, Bohan Wu, Jiajun Wu, Yuhuai Wu, Sang Michael Xie, Michihiro Yasunaga, Jiaxuan You, Matei Zaharia, Michael Zhang, Tianyi Zhang, Xikun Zhang, Yuhui Zhang, Lucia Zheng, Kaitlyn Zhou, Percy Liang

* Authored by the Center for Research on Foundation Models (CRFM) at the Stanford Institute for Human-Centered Artificial Intelligence (HAI) 

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iGibson 2.0: Object-Centric Simulation for Robot Learning of Everyday Household Tasks


Aug 10, 2021
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

* Project website: http://svl.stanford.edu/igibson/ 

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BEHAVIOR: Benchmark for Everyday Household Activities in Virtual, Interactive, and Ecological Environments


Aug 06, 2021
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


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IGibson 2.0: Object-Centric Simulation for Robot Learning of Everyday Household Tasks


Aug 06, 2021
Chengshu Li, Fei Xia, Roberto Martín-Martín, Michael Lingelbach, Sanjana Srivastava, Bokui Shen, Kent Vainio, Cem Gokmen, Gokul Dharan, Tanish Jain, Andrey Kurenkov, Karen Liu, Hyowon Gweon, Jiajun Wu, Li Fei-Fei, Silvio Savarese

* Submitted to CoRL 2021. Project website: http://svl.stanford.edu/igibson/ 

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SDEdit: Image Synthesis and Editing with Stochastic Differential Equations


Aug 02, 2021
Chenlin Meng, Yang Song, Jiaming Song, Jiajun Wu, Jun-Yan Zhu, Stefano Ermon

* https://chenlin9.github.io/SDEdit/ 

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Unsupervised Discovery of Object Radiance Fields


Jul 16, 2021
Hong-Xing Yu, Leonidas J. Guibas, Jiajun Wu

* Project page: https://kovenyu.com/uorf/ 

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Temporal and Object Quantification Networks


Jun 10, 2021
Jiayuan Mao, Zhezheng Luo, Chuang Gan, Joshua B. Tenenbaum, Jiajun Wu, Leslie Pack Kaelbling, Tomer D. Ullman

* IJCAI 2021. First two authors contributed equally. Project page: http://toqnet.csail.mit.edu/ 

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KeypointDeformer: Unsupervised 3D Keypoint Discovery for Shape Control


Apr 22, 2021
Tomas Jakab, Richard Tucker, Ameesh Makadia, Jiajun Wu, Noah Snavely, Angjoo Kanazawa

* CVPR 2021 (oral). Project page: http://tomasjakab.github.io/KeypointDeformer 

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Hierarchical Motion Understanding via Motion Programs


Apr 22, 2021
Sumith Kulal, Jiayuan Mao, Alex Aiken, Jiajun Wu

* CVPR 2021. First two authors contributed equally. Project page: https://sumith1896.github.io/motion2prog/ 

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3D Shape Generation and Completion through Point-Voxel Diffusion


Apr 11, 2021
Linqi Zhou, Yilun Du, Jiajun Wu

* Project page: https://alexzhou907.github.io/pvd 

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De-rendering the World's Revolutionary Artefacts


Apr 08, 2021
Shangzhe Wu, Ameesh Makadia, Jiajun Wu, Noah Snavely, Richard Tucker, Angjoo Kanazawa

* CVPR 2021. Project page: https://sorderender.github.io/ 

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Grounding Physical Concepts of Objects and Events Through Dynamic Visual Reasoning


Mar 30, 2021
Zhenfang Chen, Jiayuan Mao, Jiajun Wu, Kwan-Yee Kenneth Wong, Joshua B. Tenenbaum, Chuang Gan

* ICLR 2021. Project page: http://dcl.csail.mit.edu/ 

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Repopulating Street Scenes


Mar 30, 2021
Yifan Wang, Andrew Liu, Richard Tucker, Jiajun Wu, Brian L. Curless, Steven M. Seitz, Noah Snavely

* CVPR 2021 

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Learning Temporal Dynamics from Cycles in Narrated Video


Jan 07, 2021
Dave Epstein, Jiajun Wu, Cordelia Schmid, Chen Sun


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Language-Mediated, Object-Centric Representation Learning


Dec 31, 2020
Ruocheng Wang, Jiayuan Mao, Samuel J. Gershman, Jiajun Wu

* First two authors contributed equally; last two authors contributed equally. Project page: https://lang-orl.github.io/ 

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Augmenting Policy Learning with Routines Discovered from a Demonstration


Dec 24, 2020
Zelin Zhao, Chuang Gan, Jiajun Wu, Xiaoxiao Guo, Joshua B. Tenenbaum

* To appear in AAAI-21. Code is available at https://github.com/sjtuytc/-AAAI21-RoutineAugmentedPolicyLearning-RAPL

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Object-Centric Diagnosis of Visual Reasoning


Dec 21, 2020
Jianwei Yang, Jiayuan Mao, Jiajun Wu, Devi Parikh, David D. Cox, Joshua B. Tenenbaum, Chuang Gan


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Neural Radiance Flow for 4D View Synthesis and Video Processing


Dec 17, 2020
Yilun Du, Yinan Zhang, Hong-Xing Yu, Joshua B. Tenenbaum, Jiajun Wu

* Website: https://yilundu.github.io/nerflow/ 

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Object-Centric Neural Scene Rendering


Dec 15, 2020
Michelle Guo, Alireza Fathi, Jiajun Wu, Thomas Funkhouser

* Summary Video: https://youtu.be/NtR7xgxSL1U Project Webpage: https://shellguo.com/osf 

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pi-GAN: Periodic Implicit Generative Adversarial Networks for 3D-Aware Image Synthesis


Dec 02, 2020
Eric R. Chan, Marco Monteiro, Petr Kellnhofer, Jiajun Wu, Gordon Wetzstein


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Multi-Plane Program Induction with 3D Box Priors


Nov 22, 2020
Yikai Li, Jiayuan Mao, Xiuming Zhang, William T. Freeman, Joshua B. Tenenbaum, Noah Snavely, Jiajun Wu

* NeurIPS 2020. First two authors contributed equally. Project page: http://bpi.csail.mit.edu 

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Learning 3D Dynamic Scene Representations for Robot Manipulation


Nov 03, 2020
Zhenjia Xu, Zhanpeng He, Jiajun Wu, Shuran Song

* CoRL 2020. The first two authors contributed equally to this paper. Project page: https://dsr-net.cs.columbia.edu/ 

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Multi-Frame to Single-Frame: Knowledge Distillation for 3D Object Detection


Sep 24, 2020
Yue Wang, Alireza Fathi, Jiajun Wu, Thomas Funkhouser, Justin Solomon

* The Workshop on Perception for Autonomous Driving at ECCV2020 

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Unsupervised Discovery of 3D Physical Objects from Video


Jul 24, 2020
Yilun Du, Kevin Smith, Tomer Ulman, Joshua Tenenbaum, Jiajun Wu


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End-to-End Optimization of Scene Layout


Jul 23, 2020
Andrew Luo, Zhoutong Zhang, Jiajun Wu, Joshua B. Tenenbaum

* CVPR 2020 (Oral). Project page: http://3dsln.csail.mit.edu/ 

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Perspective Plane Program Induction from a Single Image


Jun 25, 2020
Yikai Li, Jiayuan Mao, Xiuming Zhang, William T. Freeman, Joshua B. Tenenbaum, Jiajun Wu

* CVPR 2020. First two authors contributed equally. Project page: http://p3i.csail.mit.edu/ 

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Learning Physical Graph Representations from Visual Scenes


Jun 24, 2020
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

* 23 pages; corrected affiliations and acknowledgments 

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