Kaichun Mo - RankMe

79 papers A* 21A 1Misc 3Journal 48Unranked 5

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	3D-Layout-R1: Structured Reasoning for Language-Instructed Spatial Editing. CoRR Haoyu Zhen, Xiaolong Li, Yilin Zhao, Han Zhang, Sifei Liu, Kaichun Mo, Chuang Gan, Subhashree Radhakrishnan
2026	J	`jnl`	DreamDojo: A Generalist Robot World Model from Large-Scale Human Videos. CoRR Shenyuan Gao, William Liang, Kaiyuan Zheng, Ayaan Malik, Seonghyeon Ye, Sihyun Yu, Wei-Cheng Tseng, Yuzhu Dong, Kaichun Mo, Chen-Hsuan Lin, Qianli Ma, Seungjun Nah, Loic Magne, Jiannan Xiang, Yuqi Xie, Ruijie Zheng, Dantong Niu, You Liang Tan, K. R. Zentner, George Kurian, Suneel Indupuru, Pooya Jannaty, Jinwei Gu, Jun Zhang, Jitendra Malik, Pieter Abbeel, Ming-Yu Liu, Yuke Zhu, Joel Jang, Linxi "Jim" Fan
2026	J	`jnl`	PointWorld: Scaling 3D World Models for In-The-Wild Robotic Manipulation. CoRR Wenbing Huang, Yu-Wei Chao, Arsalan Mousavian, Ming-Yu Liu, Dieter Fox, Kaichun Mo, Li Fei-Fei
2025	A*	`conf`	3D-MVP: 3D Multiview Pretraining for Manipulation. CVPR Shengyi Qian, Kaichun Mo, Valts Blukis, David F. Fouhey, Dieter Fox, Ankit Goyal
2025	J	`jnl`	Cosmos World Foundation Model Platform for Physical AI. CoRR Niket Agarwal, Arslan Ali, Maciej Bala, Yogesh Balaji, Erik Barker, Tiffany Cai, Prithvijit Chattopadhyay, Yongxin Chen, Yin Cui, Yifan Ding, Daniel Dworakowski, Jiaojiao Fan, Michele Fenzi, Francesco Ferroni, Sanja Fidler, Dieter Fox, Songwei Ge, Yunhao Ge, Jinwei Gu, Siddharth Gururani, Ethan He, Jiahui Huang, Jacob Samuel Huffman, Pooya Jannaty, Jingyi Jin, Seung Wook Kim, Gergely Klár, Grace Lam, Shiyi Lan, Laura Leal-Taixé, Anqi Li, Zhaoshuo Li, Chen-Hsuan Lin, Tsung-Yi Lin, Huan Ling, Ming-Yu Liu, Xian Liu, Alice Luo, Qianli Ma, Hanzi Mao, Kaichun Mo, Arsalan Mousavian, Seungjun Nah, Sriharsha Niverty, David Page, Despoina Paschalidou, Zeeshan Patel, Lindsey Pavao, Morteza Ramezanali, Fitsum Reda, Xiaowei Ren, Vasanth Rao Naik Sabavat, Ed Schmerling, Stella Shi, Bartosz Stefaniak, Shitao Tang, Lyne Tchapmi, Przemek Tredak, Wei-Cheng Tseng, Jibin Varghese, Hao Wang, Haoxiang Wang, Heng Wang, Ting-Chun Wang, Fangyin Wei, Xinyue Wei, Jay Zhangjie Wu, Jiashu Xu, Wei Yang, Yen-Chen Lin, Xiaohui Zeng, Yu Zeng, Jing Zhang, Qinsheng Zhang, Yuxuan Zhang, Qingqing Zhao, Artur Zólkowski
2025	A*	`conf`	MatchMaker: Automated Asset Generation for Robotic Assembly. ICRA Yian Wang, Bingjie Tang, Chuang Gan, Dieter Fox, Kaichun Mo, Yashraj Narang, Iretiayo Akinola
2025	J	`jnl`	MatchMaker: Automated Asset Generation for Robotic Assembly. CoRR Yian Wang, Bingjie Tang, Chuang Gan, Dieter Fox, Kaichun Mo, Yashraj Narang, Iretiayo Akinola
2025	J	`jnl`	Openpi Comet: Competition Solution For 2025 BEHAVIOR Challenge. CoRR Junjie Bai, Yu-Wei Chao, Qizhi Chen, Jinwei Gu, Moo Jin Kim, Zhaoshuo Li, Xuan Li, Tsung-Yi Lin, Ming-Yu Liu, Nic Ma, Kaichun Mo, Delin Qu, Shangkun Sun, Hongchi Xia, Fangyin Wei, Xiaohui Zeng
2025	J	`jnl`	SIGHT: Single-Image Conditioned Generation of Hand Trajectories for Hand-Object Interaction. CoRR Alexey Gavryushin, Florian Redhardt, Gaia Di Lorenzo, Luc Van Gool, Marc Pollefeys, Kaichun Mo, Xi Wang
2025	J	`jnl`	Slot-Level Robotic Placement via Visual Imitation from Single Human Video. CoRR Dandan Shan, Kaichun Mo, Wei Yang, Yu-Wei Chao, David Fouhey, Dieter Fox, Arsalan Mousavian
2024	J	`jnl`	3D-MVP: 3D Multiview Pretraining for Robotic Manipulation. CoRR Shengyi Qian, Kaichun Mo, Valts Blukis, David F. Fouhey, Dieter Fox, Ankit Goyal
2024	A*	`conf`	Category-Level Multi-Part Multi-Joint 3D Shape Assembly. CVPR Yichen Li, Kaichun Mo, Yueqi Duan, He Wang, Jiequan Zhang, Lin Shao, Wojciech Matusik, Leonidas J. Guibas
2024	J	`jnl`	Haisor: Human-aware Indoor Scene Optimization via Deep Reinforcement Learning. ACM Trans. Graph. Jia-Mu Sun, Jie Yang, Kaichun Mo, Yu-Kun Lai, Leonidas J. Guibas, Lin Gao
2024	J	`jnl`	RHOBIN Challenge: Reconstruction of Human Object Interaction. CoRR 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
2024	A*	`conf`	Summarize the Past to Predict the Future: Natural Language Descriptions of Context Boost Multimodal Object Interaction Anticipation. CVPR Razvan-George Pasca, Alexey Gavryushin, Muhammad Hamza, Yen-Ling Kuo, Kaichun Mo, Luc Van Gool, Otmar Hilliges, Xi Wang
2024	—	`conf`	URDFormer: A Pipeline for Constructing Articulated Simulation Environments from Real-World Images. Robotics: Science and Systems Qiuyu Chen, Aaron Walsman, Marius Memmel, Kaichun Mo, Alex Fang, Dieter Fox, Abhishek Gupta
2024	J	`jnl`	URDFormer: A Pipeline for Constructing Articulated Simulation Environments from Real-World Images. CoRR Zoey Qiuyu Chen, Aaron Walsman, Marius Memmel, Kaichun Mo, Alex Fang, Karthikeya Vemuri, Alan Wu, Dieter Fox, Abhishek Gupta
2023	A*	`conf`	COPILOT: Human-Environment Collision Prediction and Localization from Egocentric Videos. ICCV Boxiao Pan, Bokui Shen, Davis Rempe, Despoina Paschalidou, Kaichun Mo, Yanchao Yang, Leonidas J. Guibas
2023	J	`jnl`	Category-Level Multi-Part Multi-Joint 3D Shape Assembly. CoRR Yichen Li, Kaichun Mo, Yueqi Duan, He Wang, Jiequan Zhang, Lin Shao, Wojciech Matusik, Leonidas J. Guibas
2023	J	`jnl`	DSG-Net: Learning Disentangled Structure and Geometry for 3D Shape Generation. ACM Trans. Graph. Jie Yang, Kaichun Mo, Yu-Kun Lai, Leonidas J. Guibas, Lin Gao
2023	A*	`conf`	DualAfford: Learning Collaborative Visual Affordance for Dual-gripper Manipulation. ICLR Yan Zhao, Ruihai Wu, Zhehuan Chen, Yourong Zhang, Qingnan Fan, Kaichun Mo, Hao Dong
2023	A*	`conf`	JacobiNeRF: NeRF Shaping with Mutual Information Gradients. CVPR Xiaomeng Xu, Yanchao Yang, Kaichun Mo, Boxiao Pan, Li Yi, Leonidas J. Guibas
2023	J	`jnl`	JacobiNeRF: NeRF Shaping with Mutual Information Gradients. CoRR Xiaomeng Xu, Yanchao Yang, Kaichun Mo, Boxiao Pan, Li Yi, Leonidas J. Guibas
2023	Misc	`conf`	STOW: Discrete-Frame Segmentation and Tracking of Unseen Objects for Warehouse Picking Robots. CoRL Yi Li, Muru Zhang, Markus Grotz, Kaichun Mo, Dieter Fox
2023	J	`jnl`	STOW: Discrete-Frame Segmentation and Tracking of Unseen Objects for Warehouse Picking Robots. CoRR Yi Li, Muru Zhang, Markus Grotz, Kaichun Mo, Dieter Fox
2023	J	`jnl`	SceneHGN: Hierarchical Graph Networks for 3D Indoor Scene Generation With Fine-Grained Geometry. IEEE Trans. Pattern Anal. Mach. Intell. Lin Gao, Jia-Mu Sun, Kaichun Mo, Yu-Kun Lai, Leonidas J. Guibas, Jie Yang
2023	J	`jnl`	SceneHGN: Hierarchical Graph Networks for 3D Indoor Scene Generation with Fine-Grained Geometry. CoRR Lin Gao, Jia-Mu Sun, Kaichun Mo, Yu-Kun Lai, Leonidas J. Guibas, Jie Yang
2023	A	`conf`	Seg&Struct: The Interplay Between Part Segmentation and Structure Inference for 3D Shape Parsing. WACV Jeonghyun Kim, Kaichun Mo, Minhyuk Sung, Woontack Woo
2023	A*	`conf`	Towards Learning Geometric Eigen-Lengths Crucial for Fitting Tasks. ICML Yijia Weng, Kaichun Mo, Ruoxi Shi, Yanchao Yang, Leonidas J. Guibas
2023	J	`jnl`	Towards Learning Geometric Eigen-Lengths Crucial for Fitting Tasks. CoRR Yijia Weng, Kaichun Mo, Ruoxi Shi, Yanchao Yang, Leonidas J. Guibas
2023	A*	`conf`	Where2Explore: Few-shot Affordance Learning for Unseen Novel Categories of Articulated Objects. NeurIPS Chuanruo Ning, Ruihai Wu, Haoran Lu, Kaichun Mo, Hao Dong
2023	J	`jnl`	Where2Explore: Few-shot Affordance Learning for Unseen Novel Categories of Articulated Objects. CoRR Chuanruo Ning, Ruihai Wu, Haoran Lu, Kaichun Mo, Hao Dong
2022	—	`conf`	AdaAfford: Learning to Adapt Manipulation Affordance for 3D Articulated Objects via Few-Shot Interactions. ECCV (29) Yian Wang, Ruihai Wu, Kaichun Mo, Jiaqi Ke, Qingnan Fan, Leonidas J. Guibas, Hao Dong
2022	J	`jnl`	COPILOT: Human Collision Prediction and Localization from Multi-view Egocentric Videos. CoRR Boxiao Pan, Bokui Shen, Davis Rempe, Despoina Paschalidou, Kaichun Mo, Yanchao Yang, Leonidas J. Guibas
2022	J	`jnl`	DualAfford: Learning Collaborative Visual Affordance for Dual-gripper Object Manipulation. CoRR Yan Zhao, Ruihai Wu, Zhehuan Chen, Yourong Zhang, Qingnan Fan, Kaichun Mo, Hao Dong
2022	A*	`conf`	Fixing Malfunctional Objects With Learned Physical Simulation and Functional Prediction. CVPR Yining Hong, Kaichun Mo, Li Yi, Leonidas J. Guibas, Antonio Torralba, Joshua B. Tenenbaum, Chuang Gan
2022	J	`jnl`	Fixing Malfunctional Objects With Learned Physical Simulation and Functional Prediction. CoRR Yining Hong, Kaichun Mo, Li Yi, Leonidas J. Guibas, Antonio Torralba, Joshua B. Tenenbaum, Chuang Gan
2022	—	`conf`	GIMO: Gaze-Informed Human Motion Prediction in Context. ECCV (13) Yang Zheng, Yanchao Yang, Kaichun Mo, Jiaman Li, Tao Yu, Yebin Liu, C. Karen Liu, Leonidas J. Guibas
2022	J	`jnl`	GIMO: Gaze-Informed Human Motion Prediction in Context. CoRR Yang Zheng, Yanchao Yang, Kaichun Mo, Jiaman Li, Tao Yu, Yebin Liu, C. Karen Liu, Leonidas J. Guibas
2022	A*	`conf`	IFR-Explore: Learning Inter-object Functional Relationships in 3D Indoor Scenes. ICLR Qi Li, Kaichun Mo, Yanchao Yang, Hang Zhao, Leonidas J. Guibas
2022	—	`—`	Learning compositional and actionable visual representations for 3D shapes. Kaichun Mo
2022	A*	`conf`	Object Pursuit: Building a Space of Objects via Discriminative Weight Generation. ICLR Chuanyu Pan, Yanchao Yang, Kaichun Mo, Yueqi Duan, Leonidas J. Guibas
2022	J	`jnl`	Seg&Struct: The Interplay Between Part Segmentation and Structure Inference for 3D Shape Parsing. CoRR Jeonghyun Kim, Kaichun Mo, Minhyuk Sung, Woontack Woo
2022	A*	`conf`	VAT-Mart: Learning Visual Action Trajectory Proposals for Manipulating 3D ARTiculated Objects. ICLR Ruihai Wu, Yan Zhao, Kaichun Mo, Zizheng Guo, Yian Wang, Tianhao Wu, Qingnan Fan, Xuelin Chen, Leonidas J. Guibas, Hao Dong
2021	J	`jnl`	AdaAfford: Learning to Adapt Manipulation Affordance for 3D Articulated Objects via Few-shot Interactions. CoRR Yian Wang, Ruihai Wu, Kaichun Mo, Jiaqi Ke, Qingnan Fan, Leonidas J. Guibas, Hao Dong
2021	J	`jnl`	IFR-Explore: Learning Inter-object Functional Relationships in 3D Indoor Scenes. CoRR Qi Li, Kaichun Mo, Yanchao Yang, Hang Zhao, Leonidas J. Guibas
2021	Misc	`conf`	Learning to Regrasp by Learning to Place. CoRL Shuo Cheng, Kaichun Mo, Lin Shao
2021	J	`jnl`	Learning to Regrasp by Learning to Place. CoRR Shuo Cheng, Kaichun Mo, Lin Shao
2021	Misc	`conf`	O2O-Afford: Annotation-Free Large-Scale Object-Object Affordance Learning. CoRL Kaichun Mo, Yuzhe Qin, Fanbo Xiang, Hao Su, Leonidas J. Guibas
2021	J	`jnl`	O2O-Afford: Annotation-Free Large-Scale Object-Object Affordance Learning. CoRR Kaichun Mo, Yuzhe Qin, Fanbo Xiang, Hao Su, Leonidas J. Guibas
2021	J	`jnl`	Object Pursuit: Building a Space of Objects via Discriminative Weight Generation. CoRR Chuanyu Pan, Yanchao Yang, Kaichun Mo, Yueqi Duan, Leonidas J. Guibas
2021	J	`jnl`	RoboAssembly: Learning Generalizable Furniture Assembly Policy in a Novel Multi-robot Contact-rich Simulation Environment. CoRR Mingxin Yu, Lin Shao, Zhehuan Chen, Tianhao Wu, Qingnan Fan, Kaichun Mo, Hao Dong
2021	J	`jnl`	VAT-Mart: Learning Visual Action Trajectory Proposals for Manipulating 3D ARTiculated Objects. CoRR Ruihai Wu, Yan Zhao, Kaichun Mo, Zizheng Guo, Yian Wang, Tianhao Wu, Qingnan Fan, Xuelin Chen, Leonidas J. Guibas, Hao Dong
2021	A*	`conf`	Where2Act: From Pixels to Actions for Articulated 3D Objects. ICCV Kaichun Mo, Leonidas J. Guibas, Mustafa Mukadam, Abhinav Gupta, Shubham Tulsiani
2021	J	`jnl`	Where2Act: From Pixels to Actions for Articulated 3D Objects. CoRR Kaichun Mo, Leonidas J. Guibas, Mustafa Mukadam, Abhinav Gupta, Shubham Tulsiani
2020	J	`jnl`	Compositionally Generalizable 3D Structure Prediction. CoRR Songfang Han, Jiayuan Gu, Kaichun Mo, Li Yi, Siyu Hu, Xuejin Chen, Hao Su
2020	J	`jnl`	DSM-Net: Disentangled Structured Mesh Net for Controllable Generation of Fine Geometry. CoRR Jie Yang, Kaichun Mo, Yu-Kun Lai, Leonidas J. Guibas, Lin Gao
2020	A*	`conf`	Generative 3D Part Assembly via Dynamic Graph Learning. NeurIPS Guanqi Zhan, Qingnan Fan, Kaichun Mo, Lin Shao, Baoquan Chen, Leonidas J. Guibas, Hao Dong
2020	J	`jnl`	Generative 3D Part Assembly via Dynamic Graph Learning. CoRR Jialei Huang, Guanqi Zhan, Qingnan Fan, Kaichun Mo, Lin Shao, Baoquan Chen, Leonidas J. Guibas, Hao Dong
2020	—	`conf`	Learning 3D Part Assembly from a Single Image. ECCV (6) Yichen Li, Kaichun Mo, Lin Shao, Minhyuk Sung, Leonidas J. Guibas
2020	J	`jnl`	Learning 3D Part Assembly from a Single Image. CoRR Yichen Li, Kaichun Mo, Lin Shao, Minhyuk Sung, Leonidas J. Guibas
2020	A*	`conf`	Learning to Group: A Bottom-Up Framework for 3D Part Discovery in Unseen Categories. ICLR Tiange Luo, Kaichun Mo, Zhiao Huang, Jiarui Xu, Siyu Hu, Liwei Wang, Hao Su
2020	J	`jnl`	Learning to Group: A Bottom-Up Framework for 3D Part Discovery in Unseen Categories. CoRR Tiange Luo, Kaichun Mo, Zhiao Huang, Jiarui Xu, Siyu Hu, Liwei Wang, Hao Su
2020	—	`conf`	PT2PC: Learning to Generate 3D Point Cloud Shapes from Part Tree Conditions. ECCV (6) Kaichun Mo, He Wang, Xinchen Yan, Leonidas J. Guibas
2020	J	`jnl`	PT2PC: Learning to Generate 3D Point Cloud Shapes from Part Tree Conditions. CoRR Kaichun Mo, He Wang, Xinchen Yan, Leonidas J. Guibas
2020	J	`jnl`	Rethinking Sampling in 3D Point Cloud Generative Adversarial Networks. CoRR He Wang, Zetian Jiang, Li Yi, Kaichun Mo, Hao Su, Leonidas J. Guibas
2020	A*	`conf`	SAPIEN: A SimulAted Part-Based Interactive ENvironment. CVPR 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	J	`jnl`	SAPIEN: A SimulAted Part-based Interactive ENvironment. CoRR 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	A*	`conf`	StructEdit: Learning Structural Shape Variations. CVPR Kaichun Mo, Paul Guerrero, Li Yi, Hao Su, Peter Wonka, Niloy J. Mitra, Leonidas J. Guibas
2019	A*	`conf`	PartNet: A Large-Scale Benchmark for Fine-Grained and Hierarchical Part-Level 3D Object Understanding. CVPR Kaichun Mo, Shilin Zhu, Angel X. Chang, Li Yi, Subarna Tripathi, Leonidas J. Guibas, Hao Su
2019	J	`jnl`	StructEdit: Learning Structural Shape Variations. CoRR Kaichun Mo, Paul Guerrero, Li Yi, Hao Su, Peter Wonka, Niloy J. Mitra, Leonidas J. Guibas
2019	J	`jnl`	StructureNet: Hierarchical Graph Networks for 3D Shape Generation. CoRR Kaichun Mo, Paul Guerrero, Li Yi, Hao Su, Peter Wonka, Niloy J. Mitra, Leonidas J. Guibas
2019	J	`jnl`	StructureNet: hierarchical graph networks for 3D shape generation. ACM Trans. Graph. Kaichun Mo, Paul Guerrero, Li Yi, Hao Su, Peter Wonka, Niloy J. Mitra, Leonidas J. Guibas
2018	J	`jnl`	PartNet: A Large-scale Benchmark for Fine-grained and Hierarchical Part-level 3D Object Understanding. CoRR Kaichun Mo, Shilin Zhu, Angel X. Chang, Li Yi, Subarna Tripathi, Leonidas J. Guibas, Hao Su
2018	J	`jnl`	The AdobeIndoorNav Dataset: Towards Deep Reinforcement Learning based Real-world Indoor Robot Visual Navigation. CoRR Kaichun Mo, Haoxiang Li, Zhe Lin, Joon-Young Lee
2017	A*	`conf`	PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation. CVPR Charles Ruizhongtai Qi, Hao Su, Kaichun Mo, Leonidas J. Guibas
2016	A*	`conf`	Accelerating Random Kaczmarz Algorithm Based on Clustering Information. AAAI Yujun Li, Kaichun Mo, Haishan Ye
2016	J	`jnl`	PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation. CoRR Charles Ruizhongtai Qi, Hao Su, Kaichun Mo, Leonidas J. Guibas
2015	J	`jnl`	Accelerating Random Kaczmarz Algorithm Based on Clustering Information. CoRR Yujun Li, Kaichun Mo, Haishan Ye