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Jiayuan Gu
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2020 – today
- 2024
- [i19]Priya Sundaresan, Quan Vuong, Jiayuan Gu, Peng Xu, Ted Xiao, Sean Kirmani, Tianhe Yu, Michael Stark, Ajinkya Jain, Karol Hausman, Dorsa Sadigh, Jeannette Bohg, Stefan Schaal:
RT-Sketch: Goal-Conditioned Imitation Learning from Hand-Drawn Sketches. CoRR abs/2403.02709 (2024) - [i18]Hansheng Chen, Ruoxi Shi, Yulin Liu, Bokui Shen, Jiayuan Gu, Gordon Wetzstein, Hao Su, Leonidas J. Guibas:
Generic 3D Diffusion Adapter Using Controlled Multi-View Editing. CoRR abs/2403.12032 (2024) - 2023
- [j1]Xiaoshuai Zhang, Rui Chen, Ang Li, Fanbo Xiang, Yuzhe Qin, Jiayuan Gu, Zhan Ling, Minghua Liu, Peiyu Zeng, Songfang Han, Zhiao Huang, Tongzhou Mu, Jing Xu, Hao Su:
Close the Optical Sensing Domain Gap by Physics-Grounded Active Stereo Sensor Simulation. IEEE Trans. Robotics 39(3): 2429-2447 (2023) - [c12]Zhonghui Ge, Jiayuan Gu, Chenke Wang, Yu Long, Xian Xu, Dawu Gu:
Accio: Variable-Amount, Optimized-Unlinkable and NIZK-Free Off-Chain Payments via Hubs. CCS 2023: 1541-1555 - [c11]Jiayuan Gu, Devendra Singh Chaplot, Hao Su, Jitendra Malik:
Multi-skill Mobile Manipulation for Object Rearrangement. ICLR 2023 - [c10]Jiayuan Gu, Fanbo Xiang, Xuanlin Li, Zhan Ling, Xiqiang Liu, Tongzhou Mu, Yihe Tang, Stone Tao, Xinyue Wei, Yunchao Yao, Xiaodi Yuan, Pengwei Xie, Zhiao Huang, Rui Chen, Hao Su:
ManiSkill2: A Unified Benchmark for Generalizable Manipulation Skills. ICLR 2023 - [i17]Jiayuan Gu, Fanbo Xiang, Xuanlin Li, Zhan Ling, Xiqiang Liu, Tongzhou Mu, Yihe Tang, Stone Tao, Xinyue Wei, Yunchao Yao, Xiaodi Yuan, Pengwei Xie, Zhiao Huang, Rui Chen, Hao Su:
ManiSkill2: A Unified Benchmark for Generalizable Manipulation Skills. CoRR abs/2302.04659 (2023) - [i16]Jiayuan Gu, Sean Kirmani, Paul Wohlhart, Yao Lu, Montserrat Gonzalez Arenas, Kanishka Rao, Wenhao Yu, Chuyuan Fu, Keerthana Gopalakrishnan, Zhuo Xu, Priya Sundaresan, Peng Xu, Hao Su, Karol Hausman, Chelsea Finn, Quan Vuong, Ted Xiao:
RT-Trajectory: Robotic Task Generalization via Hindsight Trajectory Sketches. CoRR abs/2311.01977 (2023) - [i15]Minghua Liu, Ruoxi Shi, Linghao Chen, Zhuoyang Zhang, Chao Xu, Xinyue Wei, Hansheng Chen, Chong Zeng, Jiayuan Gu, Hao Su:
One-2-3-45++: Fast Single Image to 3D Objects with Consistent Multi-View Generation and 3D Diffusion. CoRR abs/2311.07885 (2023) - [i14]Yuchen Zhou, Jiayuan Gu, Xuanlin Li, Minghua Liu, Yunhao Fang, Hao Su:
PartSLIP++: Enhancing Low-Shot 3D Part Segmentation via Multi-View Instance Segmentation and Maximum Likelihood Estimation. CoRR abs/2312.03015 (2023) - [i13]Zhonghui Ge, Jiayuan Gu, Chenke Wang, Yu Long, Xian Xu, Dawu Gu:
Accio: Variable-Amount, Optimized-Unlinkable and NIZK-Free Off-Chain Payments via Hubs. IACR Cryptol. ePrint Arch. 2023: 1326 (2023) - 2022
- [c9]Aliva Das, Xinya Du, Barry Wang, Kejian Shi, Jiayuan Gu, Thomas Porter, Claire Cardie:
Automatic Error Analysis for Document-level Information Extraction. ACL (1) 2022: 3960-3975 - [i12]Xiaoshuai Zhang, Rui Chen, Fanbo Xiang, Yuzhe Qin, Jiayuan Gu, Zhan Ling, Minghua Liu, Peiyu Zeng, Songfang Han, Zhiao Huang, Tongzhou Mu, Jing Xu, Hao Su:
Close the Visual Domain Gap by Physics-Grounded Active Stereovision Depth Sensor Simulation. CoRR abs/2201.11924 (2022) - [i11]Jiayuan Gu, Devendra Singh Chaplot, Hao Su, Jitendra Malik:
Multi-skill Mobile Manipulation for Object Rearrangement. CoRR abs/2209.02778 (2022) - [i10]Aliva Das, Xinya Du, Barry Wang, Kejian Shi, Jiayuan Gu, Thomas Porter, Claire Cardie:
Automatic Error Analysis for Document-level Information Extraction. CoRR abs/2209.07442 (2022) - 2021
- [i9]Wei-Chiu Ma, Shenlong Wang, Jiayuan Gu, Sivabalan Manivasagam, Antonio Torralba, Raquel Urtasun:
Deep Feedback Inverse Problem Solver. CoRR abs/2101.07719 (2021) - 2020
- [c8]Wei-Chiu Ma, Shenlong Wang, Jiayuan Gu, Sivabalan Manivasagam, Antonio Torralba, Raquel Urtasun:
Deep Feedback Inverse Problem Solver. ECCV (5) 2020: 229-246 - [c7]Jiayuan Gu, Wei-Chiu Ma, Sivabalan Manivasagam, Wenyuan Zeng, Zihao Wang, Yuwen Xiong, Hao Su, Raquel Urtasun:
Weakly-Supervised 3D Shape Completion in the Wild. ECCV (5) 2020: 283-299 - [c6]Tongzhou Mu, Jiayuan Gu, Zhiwei Jia, Hao Tang, Hao Su:
Refactoring Policy for Compositional Generalizability using Self-Supervised Object Proposals. NeurIPS 2020 - [c5]Hao Tang, Zhiao Huang, Jiayuan Gu, Bao-Liang Lu, Hao Su:
Towards Scale-Invariant Graph-related Problem Solving by Iterative Homogeneous GNNs. NeurIPS 2020 - [i8]Jiayuan Gu, Wei-Chiu Ma, Sivabalan Manivasagam, Wenyuan Zeng, Zihao Wang, Yuwen Xiong, Hao Su, Raquel Urtasun:
Weakly-supervised 3D Shape Completion in the Wild. CoRR abs/2008.09110 (2020) - [i7]Hao Tang, Zhiao Huang, Jiayuan Gu, Bao-Liang Lu, Hao Su:
Towards Scale-Invariant Graph-related Problem Solving by Iterative Homogeneous Graph Neural Networks. CoRR abs/2010.13547 (2020) - [i6]Tongzhou Mu, Jiayuan Gu, Zhiwei Jia, Hao Tang, Hao Su:
Refactoring Policy for Compositional Generalizability using Self-Supervised Object Proposals. CoRR abs/2011.00971 (2020) - [i5]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
- [c4]Maximilian Jaritz, Jiayuan Gu, Hao Su:
Multi-View PointNet for 3D Scene Understanding. ICCV Workshops 2019: 3995-4003 - [i4]Maximilian Jaritz, Jiayuan Gu, Hao Su:
Multi-view PointNet for 3D Scene Understanding. CoRR abs/1909.13603 (2019) - 2018
- [c3]Han Hu, Jiayuan Gu, Zheng Zhang, Jifeng Dai, Yichen Wei:
Relation Networks for Object Detection. CVPR 2018: 3588-3597 - [c2]Jiayuan Gu, Han Hu, Liwei Wang, Yichen Wei, Jifeng Dai:
Learning Region Features for Object Detection. ECCV (12) 2018: 392-406 - [c1]Liwei Wang, Lunjia Hu, Jiayuan Gu, Zhiqiang Hu, Yue Wu, Kun He, John E. Hopcroft:
Towards Understanding Learning Representations: To What Extent Do Different Neural Networks Learn the Same Representation. NeurIPS 2018: 9607-9616 - [i3]Jiayuan Gu, Han Hu, Liwei Wang, Yichen Wei, Jifeng Dai:
Learning Region Features for Object Detection. CoRR abs/1803.07066 (2018) - [i2]Liwei Wang, Lunjia Hu, Jiayuan Gu, Yue Wu, Zhiqiang Hu, Kun He, John E. Hopcroft:
Towards Understanding Learning Representations: To What Extent Do Different Neural Networks Learn the Same Representation. CoRR abs/1810.11750 (2018) - 2017
- [i1]Han Hu, Jiayuan Gu, Zheng Zhang, Jifeng Dai, Yichen Wei:
Relation Networks for Object Detection. CoRR abs/1711.11575 (2017)
Coauthor Index
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