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Bokui (William) Shen 沈博魁

About

I am a Ph.D. candidate in computer science at Stanford University. My research focuses on two main topics: generating content for AI and AI-generated content. On one hand, my research centers around building digital twins of the real world and utilizing synthetic content to train perception, navigation, and manipulation models. On the other hand, my research delves into the question of how to employ generative models to automatically create synthetic content for downstream training.

I’m advised by two brilliant professors Silvio Savarese and Leonidas J. Guibas.

I received a B.S. in computer science, with Departmental Honor and University Distinction, from Stanford University.

1. Bokui (William) Shen 沈博魁
   1. About
   2. Publications
   3. Awards
   4. Experiences

Publications

Banana: Banach Fixed-Point Network for Pointcloud Segmentation with Inter-Part Equivariance
Congyue Deng*, Jiahui Lei*, Bokui Shen, Kostas Daniilidis, Leonidas J. Guibas,
NeurIPS 2023, Spotlight
Links: Website Paper Video



NAP: Neural 3D Articulation Prior
Jiahui Lei, Congyue Deng, Bokui Shen, Kostas Daniilidis, Leonidas J. Guibas,
NeurIPS 2023
Links: Website Paper Video



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, Oral
Links: Website Paper Code



Extended Version of ACID: Action-Conditional Implicit Visual Dynamics for Deformable Object Manipulation
Bokui Shen*, Zhenyu Jiang*, Christopher Choy, Leonidas J. Guibas, Silvio Savarese, Anima Anandkumar, Yuke Zhu,
International Journal of Robotics Research
Links: Website Paper Code Video



COPILOT: Human Collision Prediction and Localization from Multi-view Egocentric Videos
Boxiao Pan, Bokui Shen*, Davis Rempe*, Despoina Paschalidou, Kaichun Mo, Yanchao Yang, Leonidas J. Guibas,
ICCV 2023
Links: Website Paper Video



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
Links: Website Paper Video



ACID: Action-Conditional Implicit Visual Dynamics for Deformable Object Manipulation
Bokui Shen, Zhenyu Jiang, Christopher Choy, Leonidas J. Guibas, Silvio Savarese, Anima Anandkumar, Yuke Zhu,
RSS 2022, Best Student Paper Award Finalist, Long talk
Links: Website Paper Code Video



ADeLA: Automatic Dense Labeling with Attention for Viewpoint Adaptation in Semantic Segmentation
Yanchao Yang*, Hanxiang Ren*, He Wang, Bokui Shen, Qingnan Fan, Youyi Zheng, C. Karen Liu, Leonidas J. Guibas,
CVPR 2022, Oral
Links: Paper



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
Links: Paper



iGibson 2.0: Object-Centric Simulation for Robot Learning of Everyday Household Tasks
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,
CoRL 2021
Links: Website Paper Code Video



iGibson 1.0: a Simulation Environment for Interactive Tasks in Large Realistic Scenes
Bokui Shen*, Fei Xia*, Chengshu Li*, Roberto Martín-Martín*, Linxi Fan, Guanzhi Wang, Shyamal Buch, Claudia Pérez D'Arpino, Sanjana Srivastava, Lyne P. Tchapmi, Micael E. Tchapmi, Kent Vainio, Li Fei-Fei, Silvio Savarese,
IROS 2021
Links: Website Paper Code Video



Interactive Gibson, A Benchmark for Interactive Navigation in Cluttered Environments
Fei Xia, Bokui Shen, Chengshu Li, Priya Kasimbeg, Micael E. Tchapmi, Alexander Toshev, Roberto Martín-Martín, Silvio Savarese,
RA-L, ICRA 2020
Links: Website Paper Code



Situational Fusion of Visual Representation for Visual Navigation
Bokui Shen, Danfei Xu, Yuke Zhu, Leonidas J. Guibas, Li Fei-Fei, Silvio Savarese,
ICCV 2019
Links: Website Paper



Taskonomy: Disentangling Task Transfer Learning
Amir R. Zamir, Bokui Shen*, Alexander Sax*, Leonidas J. Guibas, Jitendra Malik, Silvio Savarese,
CVPR 2018, Best Paper Award, Oral
IJCAI, 2019 (Invited Paper, Sister Conference Best Papers Track)
Links: Website Paper Code Video



Visual Forecasting by Imitating Dynamics in Natural Sequences
Kuo-Hao Zeng, Bokui Shen, De-An Huang, Min Sun, Juan Carlos Niebles,
ICCV 2017
Links: Paper



Feedback Networks
Amir R. Zamir*, Te-Lin Wu*, Lin Sun, Bokui Shen, Jitendra Malik, Silvio Savarese,
CVPR 2017
Links: Website Paper Code

Awards

• IEEE-CVPR 2023 Doctoral Consortium
• RSS 2022 Best Student Paper Award Finalist for ACID: Action-Conditional Implicit Visual Dynamics for Deformable Object Manipulation
• IEEE-CVPR 2021 Outstanding Reviewer
• Qualcomm Innovation Fellowship 2019
• IEEE-CVPR 2018 Best Paper Award for Taskonomy: Disentangling Task Transfer Learning
• Frederick Emmons Terman Engineering Scholastic Award
• Stanford University Computer Science Departmental Honor
• Stanford University Distinction
• Stanford Tau Beta Pi Engineering Society
• Stanford CS106A Graphics Contest Winner

Experiences

Please see my CV for a full list of work, teaching and other experiences.