Kaichun Mo

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 64

Top Topics

Simulation Environment

Reinforcement Learning

Top Venues

ACM Trans. Graph.

Publications

Zoey Qiuyu Chen, Aaron Walsman, Marius Memmel, Kaichun Mo, Alex Fang, Karthikeya Vemuri, Alan Wu, Dieter Fox, Abhishek Gupta
URDFormer: A Pipeline for Constructing Articulated Simulation Environments from Real-World Images. CoRR (2024)
Jia-Mu Sun, Jie Yang, Kaichun Mo, Yu-Kun Lai, Leonidas J. Guibas, Lin Gao
Haisor: Human-aware Indoor Scene Optimization via Deep Reinforcement Learning. ACM Trans. Graph. 43 (2) (2024)
Shengyi Qian, Kaichun Mo, Valts Blukis, David F. Fouhey, Dieter Fox, Ankit Goyal
3D-MVP: 3D Multiview Pretraining for Robotic Manipulation. CoRR (2024)
Xianghui Xie, Xi Wang, Nikos Athanasiou, Bharat Lal Bhatnagar, Chun-Hao P. Huang, Kaichun Mo, Hao Chen, Xia Jia, Zerui Zhang, Liangxian Cui, Xiao Lin, Bingqiao Qian, Jie Xiao, Wenfei Yang, Hyeongjin Nam, Daniel Sungho Jung, Kihoon Kim, Kyoung Mu Lee, Otmar Hilliges, Gerard Pons-Moll
RHOBIN Challenge: Reconstruction of Human Object Interaction. CoRR (2024)
Yan Zhao, Ruihai Wu, Zhehuan Chen, Yourong Zhang, Qingnan Fan, Kaichun Mo, Hao Dong
DualAfford: Learning Collaborative Visual Affordance for Dual-gripper Manipulation. ICLR (2023)
Xiaomeng Xu, Yanchao Yang, Kaichun Mo, Boxiao Pan, Li Yi, Leonidas J. Guibas
JacobiNeRF: NeRF Shaping with Mutual Information Gradients. CVPR (2023)
Boxiao Pan, Bokui Shen, Davis Rempe, Despoina Paschalidou, Kaichun Mo, Yanchao Yang, Leonidas J. Guibas
COPILOT: Human-Environment Collision Prediction and Localization from Egocentric Videos. ICCV (2023)
Jie Yang, Kaichun Mo, Yu-Kun Lai, Leonidas J. Guibas, Lin Gao
DSG-Net: Learning Disentangled Structure and Geometry for 3D Shape Generation. ACM Trans. Graph. 42 (1) (2023)
Lin Gao, Jia-Mu Sun, Kaichun Mo, Yu-Kun Lai, Leonidas J. Guibas, Jie Yang
SceneHGN: Hierarchical Graph Networks for 3D Indoor Scene Generation with Fine-Grained Geometry. CoRR (2023)
Chuanruo Ning, Ruihai Wu, Haoran Lu, Kaichun Mo, Hao Dong
Where2Explore: Few-shot Affordance Learning for Unseen Novel Categories of Articulated Objects. CoRR (2023)
Jeonghyun Kim, Kaichun Mo, Minhyuk Sung, Woontack Woo
Seg&Struct: The Interplay Between Part Segmentation and Structure Inference for 3D Shape Parsing. WACV (2023)
Chuanruo Ning, Ruihai Wu, Haoran Lu, Kaichun Mo, Hao Dong
Where2Explore: Few-shot Affordance Learning for Unseen Novel Categories of Articulated Objects. NeurIPS (2023)
Yi Li, Muru Zhang, Markus Grotz, Kaichun Mo, Dieter Fox
STOW: Discrete-Frame Segmentation and Tracking of Unseen Objects for Warehouse Picking Robots. CoRL (2023)
Yijia Weng, Kaichun Mo, Ruoxi Shi, Yanchao Yang, Leonidas J. Guibas
Towards Learning Geometric Eigen-Lengths Crucial for Fitting Tasks. ICML (2023)
Yichen Li, Kaichun Mo, Yueqi Duan, He Wang, Jiequan Zhang, Lin Shao, Wojciech Matusik, Leonidas J. Guibas
Category-Level Multi-Part Multi-Joint 3D Shape Assembly. CoRR (2023)
Xiaomeng Xu, Yanchao Yang, Kaichun Mo, Boxiao Pan, Li Yi, Leonidas J. Guibas
JacobiNeRF: NeRF Shaping with Mutual Information Gradients. CoRR (2023)
Yi Li, Muru Zhang, Markus Grotz, Kaichun Mo, Dieter Fox
STOW: Discrete-Frame Segmentation and Tracking of Unseen Objects for Warehouse Picking Robots. CoRR (2023)
Yijia Weng, Kaichun Mo, Ruoxi Shi, Yanchao Yang, Leonidas J. Guibas
Towards Learning Geometric Eigen-Lengths Crucial for Fitting Tasks. CoRR (2023)
Lin Gao, Jia-Mu Sun, Kaichun Mo, Yu-Kun Lai, Leonidas J. Guibas, Jie Yang
SceneHGN: Hierarchical Graph Networks for 3D Indoor Scene Generation With Fine-Grained Geometry. IEEE Trans. Pattern Anal. Mach. Intell. 45 (7) (2023)
Yang Zheng, Yanchao Yang, Kaichun Mo, Jiaman Li, Tao Yu, Yebin Liu, C. Karen Liu, Leonidas J. Guibas
GIMO: Gaze-Informed Human Motion Prediction in Context. CoRR (2022)
Qi Li, Kaichun Mo, Yanchao Yang, Hang Zhao, Leonidas J. Guibas
IFR-Explore: Learning Inter-object Functional Relationships in 3D Indoor Scenes. ICLR (2022)
Yang Zheng, Yanchao Yang, Kaichun Mo, Jiaman Li, Tao Yu, Yebin Liu, C. Karen Liu, Leonidas J. Guibas
GIMO: Gaze-Informed Human Motion Prediction in Context. ECCV (13) (2022)
Yan Zhao, Ruihai Wu, Zhehuan Chen, Yourong Zhang, Qingnan Fan, Kaichun Mo, Hao Dong
DualAfford: Learning Collaborative Visual Affordance for Dual-gripper Object Manipulation. CoRR (2022)
Yining Hong, Kaichun Mo, Li Yi, Leonidas J. Guibas, Antonio Torralba, Joshua B. Tenenbaum, Chuang Gan
Fixing Malfunctional Objects With Learned Physical Simulation and Functional Prediction. CoRR (2022)
Chuanyu Pan, Yanchao Yang, Kaichun Mo, Yueqi Duan, Leonidas J. Guibas
Object Pursuit: Building a Space of Objects via Discriminative Weight Generation. ICLR (2022)
Ruihai Wu, Yan Zhao, Kaichun Mo, Zizheng Guo, Yian Wang, Tianhao Wu, Qingnan Fan, Xuelin Chen, Leonidas J. Guibas, Hao Dong
VAT-Mart: Learning Visual Action Trajectory Proposals for Manipulating 3D ARTiculated Objects. ICLR (2022)
Boxiao Pan, Bokui Shen, Davis Rempe, Despoina Paschalidou, Kaichun Mo, Yanchao Yang, Leonidas J. Guibas
COPILOT: Human Collision Prediction and Localization from Multi-view Egocentric Videos. CoRR (2022)
Yining Hong, Kaichun Mo, Li Yi, Leonidas J. Guibas, Antonio Torralba, Joshua B. Tenenbaum, Chuang Gan
Fixing Malfunctional Objects With Learned Physical Simulation and Functional Prediction. CVPR (2022)
Yian Wang, Ruihai Wu, Kaichun Mo, Jiaqi Ke, Qingnan Fan, Leonidas J. Guibas, Hao Dong
AdaAfford: Learning to Adapt Manipulation Affordance for 3D Articulated Objects via Few-Shot Interactions. ECCV (24) (2022)
Jeonghyun Kim, Kaichun Mo, Minhyuk Sung, Woontack Woo
Seg&Struct: The Interplay Between Part Segmentation and Structure Inference for 3D Shape Parsing. CoRR (2022)
Chuanyu Pan, Yanchao Yang, Kaichun Mo, Yueqi Duan, Leonidas J. Guibas
Object Pursuit: Building a Space of Objects via Discriminative Weight Generation. CoRR (2021)
Kaichun Mo, Yuzhe Qin, Fanbo Xiang, Hao Su, Leonidas J. Guibas
O2O-Afford: Annotation-Free Large-Scale Object-Object Affordance Learning. CoRR (2021)
Shuo Cheng, Kaichun Mo, Lin Shao
Learning to Regrasp by Learning to Place. CoRR (2021)
Kaichun Mo, Leonidas J. Guibas, Mustafa Mukadam, Abhinav Gupta, Shubham Tulsiani
Where2Act: From Pixels to Actions for Articulated 3D Objects. ICCV (2021)
Kaichun Mo, Yuzhe Qin, Fanbo Xiang, Hao Su, Leonidas J. Guibas
O2O-Afford: Annotation-Free Large-Scale Object-Object Affordance Learning. CoRL (2021)
Ruihai Wu, Yan Zhao, Kaichun Mo, Zizheng Guo, Yian Wang, Tianhao Wu, Qingnan Fan, Xuelin Chen, Leonidas J. Guibas, Hao Dong
VAT-Mart: Learning Visual Action Trajectory Proposals for Manipulating 3D ARTiculated Objects. CoRR (2021)
Shuo Cheng, Kaichun Mo, Lin Shao
Learning to Regrasp by Learning to Place. CoRL (2021)
Yian Wang, Ruihai Wu, Kaichun Mo, Jiaqi Ke, Qingnan Fan, Leonidas J. Guibas, Hao Dong
AdaAfford: Learning to Adapt Manipulation Affordance for 3D Articulated Objects via Few-shot Interactions. CoRR (2021)
Qi Li, Kaichun Mo, Yanchao Yang, Hang Zhao, Leonidas J. Guibas
IFR-Explore: Learning Inter-object Functional Relationships in 3D Indoor Scenes. CoRR (2021)
Mingxin Yu, Lin Shao, Zhehuan Chen, Tianhao Wu, Qingnan Fan, Kaichun Mo, Hao Dong
RoboAssembly: Learning Generalizable Furniture Assembly Policy in a Novel Multi-robot Contact-rich Simulation Environment. CoRR (2021)
Kaichun Mo, Leonidas J. Guibas, Mustafa Mukadam, Abhinav Gupta, Shubham Tulsiani
Where2Act: From Pixels to Actions for Articulated 3D Objects. CoRR (2021)
Jie Yang, Kaichun Mo, Yu-Kun Lai, Leonidas J. Guibas, Lin Gao
DSM-Net: Disentangled Structured Mesh Net for Controllable Generation of Fine Geometry. CoRR (2020)
Kaichun Mo, Paul Guerrero, Li Yi, Hao Su, Peter Wonka, Niloy J. Mitra, Leonidas J. Guibas
StructEdit: Learning Structural Shape Variations. CVPR (2020)
Jialei Huang, Guanqi Zhan, Qingnan Fan, Kaichun Mo, Lin Shao, Baoquan Chen, Leonidas J. Guibas, Hao Dong
Generative 3D Part Assembly via Dynamic Graph Learning. CoRR (2020)
He Wang, Zetian Jiang, Li Yi, Kaichun Mo, Hao Su, Leonidas J. Guibas
Rethinking Sampling in 3D Point Cloud Generative Adversarial Networks. CoRR (2020)
Fanbo Xiang, Yuzhe Qin, Kaichun Mo, Yikuan Xia, Hao Zhu, Fangchen Liu, Minghua Liu, Hanxiao Jiang, Yifu Yuan, He Wang, Li Yi, Angel X. Chang, Leonidas J. Guibas, Hao Su
SAPIEN: A SimulAted Part-based Interactive ENvironment. CoRR (2020)
Fanbo Xiang, Yuzhe Qin, Kaichun Mo, Yikuan Xia, Hao Zhu, Fangchen Liu, Minghua Liu, Hanxiao Jiang, Yifu Yuan, He Wang, Li Yi, Angel X. Chang, Leonidas J. Guibas, Hao Su
SAPIEN: A SimulAted Part-Based Interactive ENvironment. CVPR (2020)
Kaichun Mo, He Wang, Xinchen Yan, Leonidas J. Guibas
PT2PC: Learning to Generate 3D Point Cloud Shapes from Part Tree Conditions. ECCV (6) (2020)
Tiange Luo, Kaichun Mo, Zhiao Huang, Jiarui Xu, Siyu Hu, Liwei Wang, Hao Su
Learning to Group: A Bottom-Up Framework for 3D Part Discovery in Unseen Categories. ICLR (2020)
Songfang Han, Jiayuan Gu, Kaichun Mo, Li Yi, Siyu Hu, Xuejin Chen, Hao Su
Compositionally Generalizable 3D Structure Prediction. CoRR (2020)
Guanqi Zhan, Qingnan Fan, Kaichun Mo, Lin Shao, Baoquan Chen, Leonidas J. Guibas, Hao Dong
Generative 3D Part Assembly via Dynamic Graph Learning. NeurIPS (2020)
Kaichun Mo, He Wang, Xinchen Yan, Leonidas J. Guibas
PT2PC: Learning to Generate 3D Point Cloud Shapes from Part Tree Conditions. CoRR (2020)
Tiange Luo, Kaichun Mo, Zhiao Huang, Jiarui Xu, Siyu Hu, Liwei Wang, Hao Su
Learning to Group: A Bottom-Up Framework for 3D Part Discovery in Unseen Categories. CoRR (2020)
Yichen Li, Kaichun Mo, Lin Shao, Minhyuk Sung, Leonidas J. Guibas
Learning 3D Part Assembly from a Single Image. ECCV (6) (2020)
Yichen Li, Kaichun Mo, Lin Shao, Minhyuk Sung, Leonidas J. Guibas
Learning 3D Part Assembly from a Single Image. CoRR (2020)
Kaichun Mo, Paul Guerrero, Li Yi, Hao Su, Peter Wonka, Niloy J. Mitra, Leonidas J. Guibas
StructureNet: hierarchical graph networks for 3D shape generation. ACM Trans. Graph. 38 (6) (2019)
Kaichun Mo, Paul Guerrero, Li Yi, Hao Su, Peter Wonka, Niloy J. Mitra, Leonidas J. Guibas
StructEdit: Learning Structural Shape Variations. CoRR (2019)
Kaichun Mo, Paul Guerrero, Li Yi, Hao Su, Peter Wonka, Niloy J. Mitra, Leonidas J. Guibas
StructureNet: Hierarchical Graph Networks for 3D Shape Generation. CoRR (2019)
Kaichun Mo, Shilin Zhu, Angel X. Chang, Li Yi, Subarna Tripathi, Leonidas J. Guibas, Hao Su
PartNet: A Large-Scale Benchmark for Fine-Grained and Hierarchical Part-Level 3D Object Understanding. CVPR (2019)
Kaichun Mo, Haoxiang Li, Zhe Lin, Joon-Young Lee
The AdobeIndoorNav Dataset: Towards Deep Reinforcement Learning based Real-world Indoor Robot Visual Navigation. CoRR (2018)
Kaichun Mo, Shilin Zhu, Angel X. Chang, Li Yi, Subarna Tripathi, Leonidas J. Guibas, Hao Su
PartNet: A Large-scale Benchmark for Fine-grained and Hierarchical Part-level 3D Object Understanding. CoRR (2018)
Charles Ruizhongtai Qi, Hao Su, Kaichun Mo, Leonidas J. Guibas
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation. CVPR (2017)
Yujun Li, Kaichun Mo, Haishan Ye
Accelerating Random Kaczmarz Algorithm Based on Clustering Information. AAAI (2016)
Charles Ruizhongtai Qi, Hao Su, Kaichun Mo, Leonidas J. Guibas
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation. CoRR (2016)
Yujun Li, Kaichun Mo, Haishan Ye
Accelerating Random Kaczmarz Algorithm Based on Clustering Information. CoRR (2015)