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Kaichun Mo
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2020 – today
- 2024
- [j4]Jia-Mu Sun
, Jie Yang
Haisor: Human-aware Indoor Scene Optimization via Deep Reinforcement Learning. ACM Trans. Graph. 43(2): 15:1-15:17 (2024) - [c27]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. CVPR 2024: 3281-3291 - [c26]Razvan-George Pasca, Alexey Gavryushin, Muhammad Hamza, Yen-Ling Kuo, Kaichun Mo, Luc Van Gool, Otmar Hilliges, Xi Wang:
Summarize the Past to Predict the Future: Natural Language Descriptions of Context Boost Multimodal Object Interaction Anticipation. CVPR 2024: 18286-18296 - [i36]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 abs/2401.04143 (2024) - [i35]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 abs/2405.11656 (2024) - [i34]Shengyi Qian, Kaichun Mo, Valts Blukis, David F. Fouhey, Dieter Fox, Ankit Goyal:
3D-MVP: 3D Multiview Pretraining for Robotic Manipulation. CoRR abs/2406.18158 (2024) - 2023
- [j3]Lin Gao
SceneHGN: Hierarchical Graph Networks for 3D Indoor Scene Generation With Fine-Grained Geometry. IEEE Trans. Pattern Anal. Mach. Intell. 45(7): 8902-8919 (2023) - [j2]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): 1:1-1:17 (2023) - [c25]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: 3732-3748 - [c24]Xiaomeng Xu, Yanchao Yang, Kaichun Mo, Boxiao Pan, Li Yi, Leonidas J. Guibas:
JacobiNeRF: NeRF Shaping with Mutual Information Gradients. CVPR 2023: 16498-16507 - [c23]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: 5239-5249 - [c22]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 - [c21]Yijia Weng, Kaichun Mo, Ruoxi Shi, Yanchao Yang, Leonidas J. Guibas:
Towards Learning Geometric Eigen-Lengths Crucial for Fitting Tasks. ICML 2023: 36958-36977 - [c20]Chuanruo Ning, Ruihai Wu, Haoran Lu, Kaichun Mo, Hao Dong:
Where2Explore: Few-shot Affordance Learning for Unseen Novel Categories of Articulated Objects. NeurIPS 2023 - [c19]Jeonghyun Kim, Kaichun Mo, Minhyuk Sung
Seg&Struct: The Interplay Between Part Segmentation and Structure Inference for 3D Shape Parsing. WACV 2023: 1226-1235 - [i33]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 abs/2302.10237 (2023) - [i32]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 abs/2303.06163 (2023) - [i31]Xiaomeng Xu, Yanchao Yang, Kaichun Mo, Boxiao Pan, Li Yi, Leonidas J. Guibas:
JacobiNeRF: NeRF Shaping with Mutual Information Gradients. CoRR abs/2304.00341 (2023) - [i30]Chuanruo Ning, Ruihai Wu, Haoran Lu, Kaichun Mo, Hao Dong:
Where2Explore: Few-shot Affordance Learning for Unseen Novel Categories of Articulated Objects. CoRR abs/2309.07473 (2023) - [i29]Yi Li, Muru Zhang, Markus Grotz, Kaichun Mo, Dieter Fox:
STOW: Discrete-Frame Segmentation and Tracking of Unseen Objects for Warehouse Picking Robots. CoRR abs/2311.02337 (2023) - [i28]Yijia Weng, Kaichun Mo, Ruoxi Shi, Yanchao Yang, Leonidas J. Guibas:
Towards Learning Geometric Eigen-Lengths Crucial for Fitting Tasks. CoRR abs/2312.15610 (2023) - 2022
- [b1]Kaichun Mo:
Learning compositional and actionable visual representations for 3D shapes. Stanford University, USA, 2022 - [c18]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: 1403-1413 - [c17]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 (29) 2022: 90-107 - [c16]Yang Zheng, Yanchao Yang, Kaichun Mo, Jiaman Li, Tao Yu, Yebin Liu, C. Karen Liu
GIMO: Gaze-Informed Human Motion Prediction in Context. ECCV (13) 2022: 676-694 - [c15]Qi Li, Kaichun Mo, Yanchao Yang, Hang Zhao, Leonidas J. Guibas:
IFR-Explore: Learning Inter-object Functional Relationships in 3D Indoor Scenes. ICLR 2022 - [c14]Chuanyu Pan, Yanchao Yang, Kaichun Mo, Yueqi Duan, Leonidas J. Guibas:
Object Pursuit: Building a Space of Objects via Discriminative Weight Generation. ICLR 2022 - [c13]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 - [i27]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 abs/2204.09443 (2022) - [i26]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 abs/2205.02834 (2022) - [i25]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 abs/2207.01971 (2022) - [i24]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 abs/2210.01781 (2022) - [i23]Jeonghyun Kim, Kaichun Mo, Minhyuk Sung, Woontack Woo:
Seg&Struct: The Interplay Between Part Segmentation and Structure Inference for 3D Shape Parsing. CoRR abs/2211.00382 (2022) - 2021
- [c12]Shuo Cheng, Kaichun Mo, Lin Shao:
Learning to Regrasp by Learning to Place. CoRL 2021: 277-286 - [c11]Kaichun Mo, Yuzhe Qin, Fanbo Xiang, Hao Su, Leonidas J. Guibas:
O2O-Afford: Annotation-Free Large-Scale Object-Object Affordance Learning. CoRL 2021: 1666-1677 - [c10]Kaichun Mo, Leonidas J. Guibas, Mustafa Mukadam, Abhinav Gupta, Shubham Tulsiani:
Where2Act: From Pixels to Actions for Articulated 3D Objects. ICCV 2021: 6793-6803 - [i22]Kaichun Mo, Leonidas J. Guibas, Mustafa Mukadam, Abhinav Gupta, Shubham Tulsiani:
Where2Act: From Pixels to Actions for Articulated 3D Objects. CoRR abs/2101.02692 (2021) - [i21]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 abs/2106.14440 (2021) - [i20]Kaichun Mo, Yuzhe Qin, Fanbo Xiang, Hao Su, Leonidas J. Guibas:
O2O-Afford: Annotation-Free Large-Scale Object-Object Affordance Learning. CoRR abs/2106.15087 (2021) - [i19]Shuo Cheng, Kaichun Mo, Lin Shao:
Learning to Regrasp by Learning to Place. CoRR abs/2109.08817 (2021) - [i18]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 abs/2112.00246 (2021) - [i17]Qi Li, Kaichun Mo, Yanchao Yang, Hang Zhao, Leonidas J. Guibas:
IFR-Explore: Learning Inter-object Functional Relationships in 3D Indoor Scenes. CoRR abs/2112.05298 (2021) - [i16]Chuanyu Pan, Yanchao Yang, Kaichun Mo, Yueqi Duan, Leonidas J. Guibas:
Object Pursuit: Building a Space of Objects via Discriminative Weight Generation. CoRR abs/2112.07954 (2021) - [i15]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 abs/2112.10143 (2021) - 2020
- [c9]Kaichun Mo, Paul Guerrero, Li Yi, Hao Su, Peter Wonka, Niloy J. Mitra, Leonidas J. Guibas:
StructEdit: Learning Structural Shape Variations. CVPR 2020: 8856-8865 - [c8]Fanbo Xiang, Yuzhe Qin
SAPIEN: A SimulAted Part-Based Interactive ENvironment. CVPR 2020: 11094-11104 - [c7]Yichen Li, Kaichun Mo, Lin Shao, Minhyuk Sung
Learning 3D Part Assembly from a Single Image. ECCV (6) 2020: 664-682 - [c6]Kaichun Mo, He Wang, Xinchen Yan, Leonidas J. Guibas:
PT2PC: Learning to Generate 3D Point Cloud Shapes from Part Tree Conditions. ECCV (6) 2020: 683-701 - [c5]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 - [c4]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 - [i14]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 abs/2002.06478 (2020) - [i13]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 abs/2003.08515 (2020) - [i12]Kaichun Mo, He Wang, Xinchen Yan, Leonidas J. Guibas:
PT2PC: Learning to Generate 3D Point Cloud Shapes from Part Tree Conditions. CoRR abs/2003.08624 (2020) - [i11]Yichen Li, Kaichun Mo, Lin Shao, Minhyuk Sung, Leonidas J. Guibas:
Learning 3D Part Assembly from a Single Image. CoRR abs/2003.09754 (2020) - [i10]He Wang, Zetian Jiang, Li Yi, Kaichun Mo, Hao Su, Leonidas J. Guibas:
Rethinking Sampling in 3D Point Cloud Generative Adversarial Networks. CoRR abs/2006.07029 (2020) - [i9]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 abs/2006.07793 (2020) - [i8]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 abs/2008.05440 (2020) - [i7]Songfang Han, Jiayuan Gu, Kaichun Mo, Li Yi, Siyu Hu, Xuejin Chen, Hao Su:
Compositionally Generalizable 3D Structure Prediction. CoRR abs/2012.02493 (2020)
2010 – 2019
- 2019
- [j1]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): 242:1-242:19 (2019) - [c3]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: 909-918 - [i6]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 abs/1908.00575 (2019) - [i5]Kaichun Mo, Paul Guerrero, Li Yi, Hao Su, Peter Wonka, Niloy J. Mitra, Leonidas J. Guibas:
StructEdit: Learning Structural Shape Variations. CoRR abs/1911.11098 (2019) - 2018
- [i4]Kaichun Mo, Haoxiang Li, Zhe Lin, Joon-Young Lee:
The AdobeIndoorNav Dataset: Towards Deep Reinforcement Learning based Real-world Indoor Robot Visual Navigation. CoRR abs/1802.08824 (2018) - [i3]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 abs/1812.02713 (2018) - 2017
- [c2]Charles Ruizhongtai Qi, Hao Su, Kaichun Mo, Leonidas J. Guibas:
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation. CVPR 2017: 77-85 - 2016
- [c1]Yujun Li, Kaichun Mo, Haishan Ye:
Accelerating Random Kaczmarz Algorithm Based on Clustering Information. AAAI 2016: 1823-1829 - [i2]Charles Ruizhongtai Qi, Hao Su, Kaichun Mo, Leonidas J. Guibas:
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation. CoRR abs/1612.00593 (2016) - 2015
- [i1]Yujun Li, Kaichun Mo, Haishan Ye:
Accelerating Random Kaczmarz Algorithm Based on Clustering Information. CoRR abs/1511.05362 (2015)
Coauthor Index
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last updated on 2024-10-30 21:35 CET by the dblp team
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