Kaichun Mo
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
27
Venues
9
Active years
2016–2025
Best venue rank
A*
Where they publish
Papers
27 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | CVPR | 3D-MVP: 3D Multiview Pretraining for Manipulation. | Shengyi Qian, Kaichun Mo, Valts Blukis, David F. Fouhey, Dieter Fox, Ankit Goyal |
| 2025 | ICRA | MatchMaker: Automated Asset Generation for Robotic Assembly. | Yian Wang, Bingjie Tang, Chuang Gan, Dieter Fox, Kaichun Mo, Yashraj Narang, Iretiayo Akinola |
| 2024 | CVPR | Category-Level Multi-Part Multi-Joint 3D Shape Assembly. | Yichen Li, Kaichun Mo, Yueqi Duan, He Wang, Jiequan Zhang, Lin Shao, Wojciech Matusik, Leonidas J. Guibas |
| 2024 | CVPR | 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 |
| 2023 | CoRL | STOW: Discrete-Frame Segmentation and Tracking of Unseen Objects for Warehouse Picking Robots. | Yi Li, Muru Zhang, Markus Grotz, Kaichun Mo, Dieter Fox |
| 2023 | CVPR | JacobiNeRF: NeRF Shaping with Mutual Information Gradients. | Xiaomeng Xu, Yanchao Yang, Kaichun Mo, Boxiao Pan, Li Yi, Leonidas J. Guibas |
| 2023 | ICCV | 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 |
| 2023 | ICLR | DualAfford: Learning Collaborative Visual Affordance for Dual-gripper Manipulation. | Yan Zhao, Ruihai Wu, Zhehuan Chen, Yourong Zhang, Qingnan Fan, Kaichun Mo, Hao Dong |
| 2023 | ICML | Towards Learning Geometric Eigen-Lengths Crucial for Fitting Tasks. | Yijia Weng, Kaichun Mo, Ruoxi Shi, Yanchao Yang, Leonidas J. Guibas |
| 2023 | WACV | Seg&Struct: The Interplay Between Part Segmentation and Structure Inference for 3D Shape Parsing. | Jeonghyun Kim, Kaichun Mo, Minhyuk Sung, Woontack Woo |
| 2022 | CVPR | 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 |
| 2022 | ECCV | 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 |
| 2022 | ECCV | GIMO: Gaze-Informed Human Motion Prediction in Context. | Yang Zheng, Yanchao Yang, Kaichun Mo, Jiaman Li, Tao Yu, Yebin Liu, C. Karen Liu, Leonidas J. Guibas |
| 2022 | ICLR | IFR-Explore: Learning Inter-object Functional Relationships in 3D Indoor Scenes. | Qi Li, Kaichun Mo, Yanchao Yang, Hang Zhao, Leonidas J. Guibas |
| 2022 | ICLR | Object Pursuit: Building a Space of Objects via Discriminative Weight Generation. | Chuanyu Pan, Yanchao Yang, Kaichun Mo, Yueqi Duan, Leonidas J. Guibas |
| 2022 | ICLR | 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 J. Guibas, Hao Dong |
| 2021 | CoRL | Learning to Regrasp by Learning to Place. | Shuo Cheng, Kaichun Mo, Lin Shao |
| 2021 | CoRL | O2O-Afford: Annotation-Free Large-Scale Object-Object Affordance Learning. | Kaichun Mo, Yuzhe Qin, Fanbo Xiang, Hao Su, Leonidas J. Guibas |
| 2021 | ICCV | Where2Act: From Pixels to Actions for Articulated 3D Objects. | Kaichun Mo, Leonidas J. Guibas, Mustafa Mukadam, Abhinav Gupta, Shubham Tulsiani |
| 2020 | CVPR | StructEdit: Learning Structural Shape Variations. | Kaichun Mo, Paul Guerrero, Li Yi, Hao Su, Peter Wonka, Niloy J. Mitra, Leonidas J. Guibas |
| 2020 | CVPR | SAPIEN: A SimulAted Part-Based Interactive ENvironment. | 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 |
| 2020 | ECCV | Learning 3D Part Assembly from a Single Image. | Yichen Li, Kaichun Mo, Lin Shao, Minhyuk Sung, Leonidas J. Guibas |
| 2020 | ECCV | PT2PC: Learning to Generate 3D Point Cloud Shapes from Part Tree Conditions. | Kaichun Mo, He Wang, Xinchen Yan, Leonidas J. Guibas |
| 2020 | ICLR | 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 |
| 2019 | CVPR | PartNet: A Large-Scale Benchmark for Fine-Grained and Hierarchical Part-Level 3D Object Understanding. | Kaichun Mo, Shilin Zhu, Angel X. Chang, Li Yi, Subarna Tripathi, Leonidas J. Guibas, Hao Su |
| 2017 | CVPR | PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation. | Charles Ruizhongtai Qi, Hao Su, Kaichun Mo, Leonidas J. Guibas |
| 2016 | AAAI | Accelerating Random Kaczmarz Algorithm Based on Clustering Information. | Yujun Li, Kaichun Mo, Haishan Ye |