ML Anthology

Mo, Kaichun

25 publications

CVPR 2025 3D-MVP: 3D Multiview Pretraining for Manipulation Shengyi Qian, Kaichun Mo, Valts Blukis, David F. Fouhey, Dieter Fox, Ankit Goyal
CVPR 2024 Category-Level Multi-Part Multi-Joint 3D Shape Assembly Yichen Li, Kaichun Mo, Yueqi Duan, He Wang, Jiequan Zhang, Lin Shao
CVPR 2024 Summarize the past to Predict the Future: Natural Language Descriptions of Context Boost Multimodal Object Interaction Anticipation Razvan-George Pasca, Alexey Gavryushin, Muhammad Hamza, Yen-Ling Kuo, Kaichun Mo, Luc Van Gool, Otmar Hilliges, Xi Wang
ICCV 2023 COPILOT: Human-Environment Collision Prediction and Localization from Egocentric Videos Boxiao Pan, Bokui Shen, Davis Rempe, Despoina Paschalidou, Kaichun Mo, Yanchao Yang, Leonidas J. Guibas
ICLR 2023 DualAfford: Learning Collaborative Visual Affordance for Dual-Gripper Manipulation Yan Zhao, Ruihai Wu, Zhehuan Chen, Yourong Zhang, Qingnan Fan, Kaichun Mo, Hao Dong
CVPR 2023 JacobiNeRF: NeRF Shaping with Mutual Information Gradients Xiaomeng Xu, Yanchao Yang, Kaichun Mo, Boxiao Pan, Li Yi, Leonidas Guibas
CoRL 2023 STOW: Discrete-Frame Segmentation and Tracking of Unseen Objects for Warehouse Picking Robots Yi Li, Muru Zhang, Markus Grotz, Kaichun Mo, Dieter Fox
WACV 2023 Seg&Struct: The Interplay Between Part Segmentation and Structure Inference for 3D Shape Parsing Jeonghyun Kim, Kaichun Mo, Minhyuk Sung, Woontack Woo
ICML 2023 Towards Learning Geometric Eigen-Lengths Crucial for Fitting Tasks Yijia Weng, Kaichun Mo, Ruoxi Shi, Yanchao Yang, Leonidas Guibas
NeurIPS 2023 Where2Explore: Few-Shot Affordance Learning for Unseen Novel Categories of Articulated Objects Chuanruo Ning, Ruihai Wu, Haoran Lu, Kaichun Mo, Hao Dong
ECCV 2022 AdaAfford: Learning to Adapt Manipulation Affordance for 3D Articulated Objects via Few-Shot Interactions Yian Wang, Ruihai Wu, Kaichun Mo, Jiaqi Ke, Qingnan Fan, Leonidas J. Guibas, Hao Dong
CVPR 2022 Fixing Malfunctional Objects with Learned Physical Simulation and Functional Prediction Yining Hong, Kaichun Mo, Li Yi, Leonidas J. Guibas, Antonio Torralba, Joshua B. Tenenbaum, Chuang Gan
ECCV 2022 GIMO: Gaze-Informed Human Motion Prediction in Context Yang Zheng, Yanchao Yang, Kaichun Mo, Jiaman Li, Tao Yu, Yebin Liu, Karen Liu, Leonidas J. Guibas
ICLR 2022 IFR-Explore: Learning Inter-Object Functional Relationships in 3D Indoor Scenes Qi Li, Kaichun Mo, Yanchao Yang, Hang Zhao, Leonidas Guibas
ICLR 2022 Object Pursuit: Building a Space of Objects via Discriminative Weight Generation Chuanyu Pan, Yanchao Yang, Kaichun Mo, Yueqi Duan, Leonidas Guibas
ICLR 2022 VAT-Mart: Learning Visual Action Trajectory Proposals for Manipulating 3D ARTiculated Objects Ruihai Wu, Yan Zhao, Kaichun Mo, Zizheng Guo, Yian Wang, Tianhao Wu, Qingnan Fan, Xuelin Chen, Leonidas Guibas, Hao Dong
CoRL 2021 Learning to Regrasp by Learning to Place Shuo Cheng, Kaichun Mo, Lin Shao
CoRL 2021 O2O-Afford: Annotation-Free Large-Scale Object-Object Affordance Learning Kaichun Mo, Yuzhe Qin, Fanbo Xiang, Hao Su, Leonidas Guibas
ICCV 2021 Where2Act: From Pixels to Actions for Articulated 3D Objects Kaichun Mo, Leonidas J. Guibas, Mustafa Mukadam, Abhinav Gupta, Shubham Tulsiani
NeurIPS 2020 Generative 3D Part Assembly via Dynamic Graph Learning Jialei Huang, Guanqi Zhan, Qingnan Fan, Kaichun Mo, Lin Shao, Baoquan Chen, Leonidas Guibas, Hao Dong
ECCV 2020 Learning 3D Part Assembly from a Single Image Yichen Li, Kaichun Mo, Lin Shao, Minhyuk Sung, Leonidas Guibas
ICLR 2020 Learning to Group: A Bottom-up Framework for 3D Part Discovery in Unseen Categories Tiange Luo, Kaichun Mo, Zhiao Huang, Jiarui Xu, Siyu Hu, Liwei Wang, Hao Su
ECCV 2020 PT2PC: Learning to Generate 3D Point Cloud Shapes from Part Tree Conditions Kaichun Mo, He Wang, Xinchen Yan, Leonidas Guibas
CVPR 2017 PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation Charles R. Qi, Hao Su, Kaichun Mo, Leonidas J. Guibas
AAAI 2016 Accelerating Random Kaczmarz Algorithm Based on Clustering Information Yujun Li, Kaichun Mo, Haishan Ye