Feedback Networks. - Amir R. Zamir; Te-Lin Wu; Lin Sun 004; William B. Shen; Jitendra Malik; Silvio Savarese (CoRR, 2016)

Feedback Networks. - Amir R. Zamir; Te-Lin Wu; Lin Sun 004; William B. Shen; Bertram E. Shi; Jitendra Malik; Silvio Savarese (CVPR, 2017)

Visual Forecasting by Imitating Dynamics in Natural Sequences. - Kuo-Hao Zeng; William B. Shen; De-An Huang; Min Sun 001; Juan Carlos Niebles (ICCV, 2017)

Situational Fusion of Visual Representation for Visual Navigation. - William B. Shen; Danfei Xu; Yuke Zhu; Li Fei-Fei 001; Leonidas J. Guibas; Silvio Savarese (ICCV, 2019)

Taskonomy: Disentangling Task Transfer Learning. - Amir Zamir; Alexander Sax; William B. Shen; Leonidas J. Guibas; Jitendra Malik; Silvio Savarese (IJCAI, 2019)

Interactive Gibson: A Benchmark for Interactive Navigation in Cluttered Environments. - Fei Xia 002; William B. Shen; Chengshu Li 002; Priya Kasimbeg; Micael Tchapmi; Alexander Toshev; Roberto Martín-Martín; Silvio Savarese (CoRR, 2019)

iGibson, a Simulation Environment for Interactive Tasks in Large Realistic Scenes. - Bokui Shen; Fei Xia 002; Chengshu Li 002; Roberto Martín-Martín; Linxi Fan; Guanzhi Wang; Shyamal Buch; Claudia D'Arpino; Sanjana Srivastava; Lyne P. Tchapmi; Micael E. Tchapmi; Kent Vainio; et al. (CoRR, 2020)

Interactive Gibson Benchmark: A Benchmark for Interactive Navigation in Cluttered Environments. - Fei Xia 002; William B. Shen; Chengshu Li 002; Priya Kasimbeg; Micael Tchapmi; Alexander Toshev; Roberto Martín-Martín; Silvio Savarese (IEEE Robotics Autom. Lett., 2020)

iGibson 2.0: Object-Centric Simulation for Robot Learning of Everyday Household Tasks. - Chengshu Li 002; Fei Xia 002; Roberto Martín-Martín; Michael Lingelbach; Sanjana Srivastava; Bokui Shen; Kent Elliott Vainio; Cem Gokmen; Gokul Dharan; Tanish Jain; Andrey Kurenkov; C. Karen Liu; et al. (CoRL, 2021)

iGibson 1.0: A Simulation Environment for Interactive Tasks in Large Realistic Scenes. - Bokui Shen; Fei Xia 002; Chengshu Li 002; Roberto Martín-Martín; Linxi Fan; Guanzhi Wang; Claudia Pérez-D'Arpino; Shyamal Buch; Sanjana Srivastava; Lyne Tchapmi; Micael Tchapmi; Kent Vainio; et al. (IROS, 2021)

ADeLA: Automatic Dense Labeling with Attention for Viewpoint Adaptation in Semantic Segmentation. - Yanchao Yang 001; Hanxiang Ren; He Wang 010; Bokui Shen; Qingnan Fan; Youyi Zheng; C. Karen Liu; Leonidas J. Guibas (CoRR, 2021)

ADeLA: Automatic Dense Labeling with Attention for Viewpoint Shift in Semantic Segmentation. - Hanxiang Ren; Yanchao Yang 001; He Wang 010; Bokui Shen; Qingnan Fan; Youyi Zheng; C. Karen Liu; Leonidas J. Guibas (CVPR, 2022)

Generating Procedural 3D materials from Images using Neural Networks. - Lyne P. Tchapmi; Trishiet Ray; Micael Tchapmi; Bokui Shen; Roberto Martin Martin; Silvio Savarese (IVSP, 2022)

ACID: Action-Conditional Implicit Visual Dynamics for Deformable Object Manipulation. - Bokui Shen; Zhenyu Jiang 002; Christopher B. Choy; Silvio Savarese; Leonidas J. Guibas; Anima Anandkumar; Yuke Zhu (Robotics: Science and Systems, 2022)

COPILOT: Human Collision Prediction and Localization from Multi-view Egocentric Videos. - Boxiao Pan; Bokui Shen; Davis Rempe; Despoina Paschalidou; Kaichun Mo; Yanchao Yang 001; Leonidas J. Guibas (CoRR, 2022)

GINA-3D: Learning to Generate Implicit Neural Assets in the Wild. - Bokui Shen; Xinchen Yan; Charles R. Qi; Mahyar Najibi; Boyang Deng; Leonidas J. Guibas; Yin Zhou; Dragomir Anguelov (CVPR, 2023)

COPILOT: Human-Environment Collision Prediction and Localization from Egocentric Videos. - Boxiao Pan; Bokui Shen; Davis Rempe; Despoina Paschalidou; Kaichun Mo; Yanchao Yang 001; Leonidas J. Guibas (ICCV, 2023)

PointOdyssey: A Large-Scale Synthetic Dataset for Long-Term Point Tracking. - Yang Zheng; Adam W. Harley; Bokui Shen; Gordon Wetzstein; Leonidas J. Guibas (ICCV, 2023)

Banana: Banach Fixed-Point Network for Pointcloud Segmentation with Inter-Part Equivariance. - Congyue Deng; Jiahui Lei; William B. Shen; Kostas Daniilidis; Leonidas J. Guibas (NeurIPS, 2023)

NAP: Neural 3D Articulated Object Prior. - Jiahui Lei; Congyue Deng; William B. Shen; Leonidas J. Guibas; Kostas Daniilidis (NeurIPS, 2023)

NAP: Neural 3D Articulation Prior. - Jiahui Lei; Congyue Deng; Bokui Shen; Leonidas J. Guibas; Kostas Daniilidis (CoRR, 2023)

Make a Donut: Language-Guided Hierarchical EMD-Space Planning for Zero-shot Deformable Object Manipulation. - Yang You 004; Bokui Shen; Congyue Deng; Haoran Geng; He Wang 010; Leonidas J. Guibas (CoRR, 2023)

MultiPhys: Multi-Person Physics-Aware 3D Motion Estimation. - Nicolas Ugrinovic; Boxiao Pan; Georgios Pavlakos; Despoina Paschalidou; Bokui Shen; Jordi Sanchez-Riera; Francesc Moreno-Noguer; Leonidas J. Guibas (CVPR, 2024)

CAD : Photorealistic 3D Generation via Adversarial Distillation. - Ziyu Wan; Despoina Paschalidou; Ian Huang; Hongyu Liu; Bokui Shen; Xiaoyu Xiang; Jing Liao 001; Leonidas J. Guibas (CVPR, 2024)

SAGE: Bridging Semantic and Actionable Parts for GEneralizable Articulated-Object Manipulation under Language Instructions. - Haoran Geng; Songlin Wei; Congyue Deng; Bokui Shen; He Wang 010; Leonidas J. Guibas (Robotics: Science and Systems, 2024)

Generic 3D Diffusion Adapter Using Controlled Multi-View Editing. - Hansheng Chen 001; Ruoxi Shi; Yulin Liu; Bokui Shen; Jiayuan Gu; Gordon Wetzstein; Hao Su 001; Leonidas J. Guibas (CoRR, 2024)

3D-Adapter: Geometry-Consistent Multi-View Diffusion for High-Quality 3D Generation. - Hansheng Chen 001; Bokui Shen; Yulin Liu; Ruoxi Shi; Linqi Zhou; Connor Z. Lin; Jiayuan Gu; Hao Su 001; Gordon Wetzstein; Leonidas J. Guibas (CoRR, 2024)

Action-conditional implicit visual dynamics for deformable object manipulation. - Bokui Shen; Zhenyu Jiang 002; Christopher Bongsoo Choy; Silvio Savarese; Leonidas J. Guibas; Anima Anandkumar; Yuke Zhu (Int. J. Robotics Res., 2024)

Make a Donut: Hierarchical EMD-Space Planning for Zero-Shot Deformable Manipulation With Tools. - Yang You 004; Bokui Shen; Congyue Deng; Haoran Geng; Songlin Wei; He Wang 010; Leonidas J. Guibas (IEEE Robotics Autom. Lett., 2025)