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Hao Su 0001
Person information
- affiliation: University of California, San Diego, USA
- affiliation (PhD 2018): Stanford University, USA
Other persons with the same name
- Hao Su — disambiguation page
- Hao Su 0002 — North Carolina State University, Department of Mechanical and Aerospace Engineering, Raleigh, NC, USA (and 2 more)
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2020 – today
- 2024
- [j31]Weihang Chen, Jing Xu, Fanbo Xiang, Xiaodi Yuan, Hao Su, Rui Chen:
General-Purpose Sim2Real Protocol for Learning Contact-Rich Manipulation With Marker-Based Visuotactile Sensors. IEEE Trans. Robotics 40: 1509-1526 (2024) - [c102]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. CVPR 2024: 10072-10083 - [c101]Jun Wang, Yuzhe Qin, Kaiming Kuang, Yigit Korkmaz, Akhilan Gurumoorthy, Hao Su, Xiaolong Wang:
CyberDemo: Augmenting Simulated Human Demonstration for Real-World Dexterous Manipulation. CVPR 2024: 17952-17963 - [c100]Mukund Varma T., Peihao Wang, Zhiwen Fan, Zhangyang Wang, Hao Su, Ravi Ramamoorthi:
Lift3D: Zero-Shot Lifting of Any 2D Vision Model to 3D. CVPR 2024: 21367-21377 - [c99]Nicklas Hansen, Hao Su, Xiaolong Wang:
TD-MPC2: Scalable, Robust World Models for Continuous Control. ICLR 2024 - [c98]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. ICLR 2024 - [c97]Tongzhou Mu, Minghua Liu, Hao Su:
DrS: Learning Reusable Dense Rewards for Multi-Stage Tasks. ICLR 2024 - [c96]Stone Tao, Arth Shukla, Tse-kai Chan, Hao Su:
Reverse Forward Curriculum Learning for Extreme Sample and Demo Efficiency. ICLR 2024 - [c95]Kaizhi Yang, Xiaoshuai Zhang, Zhiao Huang, Xuejin Chen, Zexiang Xu, Hao Su:
MovingParts: Motion-based 3D Part Discovery in Dynamic Radiance Field. ICLR 2024 - [c94]Zhiwei Jia, Vineet Thumuluri, Fangchen Liu, Linghao Chen, Zhiao Huang, Hao Su:
Chain-of-Thought Predictive Control. ICML 2024 - [c93]Abby O'Neill, Abdul Rehman, Abhiram Maddukuri, Abhishek Gupta, Abhishek Padalkar, Abraham Lee, Acorn Pooley, Agrim Gupta, Ajay Mandlekar, Ajinkya Jain, Albert Tung, Alex Bewley, Alexander Herzog, Alex Irpan, Alexander Khazatsky, Anant Rai, Anchit Gupta, Andrew Wang, Anikait Singh, Animesh Garg, Aniruddha Kembhavi, Annie Xie, Anthony Brohan, Antonin Raffin, Archit Sharma, Arefeh Yavary, Arhan Jain, Ashwin Balakrishna, Ayzaan Wahid, Ben Burgess-Limerick, Beomjoon Kim, Bernhard Schölkopf, Blake Wulfe, Brian Ichter, Cewu Lu, Charles Xu, Charlotte Le, Chelsea Finn, Chen Wang, Chenfeng Xu, Cheng Chi, Chenguang Huang, Christine Chan, Christopher Agia, Chuer Pan, Chuyuan Fu, Coline Devin, Danfei Xu, Daniel Morton, Danny Driess, Daphne Chen, Deepak Pathak, Dhruv Shah, Dieter Büchler, Dinesh Jayaraman, Dmitry Kalashnikov, Dorsa Sadigh, Edward Johns, Ethan Paul Foster, Fangchen Liu, Federico Ceola, Fei Xia, Feiyu Zhao, Freek Stulp, Gaoyue Zhou, Gaurav S. Sukhatme, Gautam Salhotra, Ge Yan, Gilbert Feng, Giulio Schiavi, Glen Berseth, Gregory Kahn, Guanzhi Wang, Hao Su, Haoshu Fang, Haochen Shi, Henghui Bao, Heni Ben Amor, Henrik I. Christensen, Hiroki Furuta, Homer Walke, Hongjie Fang, Huy Ha, Igor Mordatch, Ilija Radosavovic, Isabel Leal, Jacky Liang, Jad Abou-Chakra, Jaehyung Kim, Jaimyn Drake, Jan Peters, Jan Schneider, Jasmine Hsu, Jeannette Bohg, Jeffrey Bingham, Jeffrey Wu, Jensen Gao, Jiaheng Hu, Jiajun Wu, Jialin Wu, Jiankai Sun, Jianlan Luo, Jiayuan Gu, Jie Tan, Jihoon Oh, Jimmy Wu, Jingpei Lu, Jingyun Yang, Jitendra Malik, João Silvério, Joey Hejna, Jonathan Booher, Jonathan Tompson, Jonathan Yang, Jordi Salvador, Joseph J. Lim, Junhyek Han, Kaiyuan Wang, Kanishka Rao, Karl Pertsch, Karol Hausman, Keegan Go, Keerthana Gopalakrishnan, Ken Goldberg, Kendra Byrne, Kenneth Oslund, Kento Kawaharazuka, Kevin Black, Kevin Lin, Kevin Zhang, Kiana Ehsani, Kiran Lekkala, Kirsty Ellis, Krishan Rana, Krishnan Srinivasan, Kuan Fang, Kunal Pratap Singh, Kuo-Hao Zeng, Kyle Hatch, Kyle Hsu, Laurent Itti, Lawrence Yunliang Chen, Lerrel Pinto, Li Fei-Fei, Liam Tan, Linxi Jim Fan, Lionel Ott, Lisa Lee, Luca Weihs, Magnum Chen, Marion Lepert, Marius Memmel, Masayoshi Tomizuka, Masha Itkina, Mateo Guaman Castro, Max Spero, Maximilian Du, Michael Ahn, Michael C. Yip, Mingtong Zhang, Mingyu Ding, Minho Heo, Mohan Kumar Srirama, Mohit Sharma, Moo Jin Kim, Naoaki Kanazawa, Nicklas Hansen, Nicolas Heess, Nikhil J. Joshi, Niko Sünderhauf, Ning Liu, Norman Di Palo, Nur Muhammad (Mahi) Shafiullah, Oier Mees, Oliver Kroemer, Osbert Bastani, Pannag R. Sanketi, Patrick Tree Miller, Patrick Yin, Paul Wohlhart, Peng Xu, Peter David Fagan, Peter Mitrano, Pierre Sermanet, Pieter Abbeel, Priya Sundaresan, Qiuyu Chen, Quan Vuong, Rafael Rafailov, Ran Tian, Ria Doshi, Roberto Martín-Martín, Rohan Baijal, Rosario Scalise, Rose Hendrix, Roy Lin, Runjia Qian, Ruohan Zhang, Russell Mendonca, Rutav Shah, Ryan Hoque, Ryan Julian, Samuel Bustamante, Sean Kirmani, Sergey Levine, Shan Lin, Sherry Moore, Shikhar Bahl, Shivin Dass, Shubham D. Sonawani, Shuran Song, Sichun Xu, Siddhant Haldar, Siddharth Karamcheti, Simeon Adebola, Simon Guist, Soroush Nasiriany, Stefan Schaal, Stefan Welker, Stephen Tian, Subramanian Ramamoorthy, Sudeep Dasari, Suneel Belkhale, Sungjae Park, Suraj Nair, Suvir Mirchandani, Takayuki Osa, Tanmay Gupta, Tatsuya Harada, Tatsuya Matsushima, Ted Xiao, Thomas Kollar, Tianhe Yu, Tianli Ding, Todor Davchev, Tony Z. Zhao, Travis Armstrong, Trevor Darrell, Trinity Chung, Vidhi Jain, Vincent Vanhoucke, Wei Zhan, Wenxuan Zhou, Wolfram Burgard, Xi Chen, Xiaolong Wang, Xinghao Zhu, Xinyang Geng, Xiyuan Liu, Liangwei Xu, Xuanlin Li, Yao Lu, Yecheng Jason Ma, Yejin Kim, Yevgen Chebotar, Yifan Zhou, Yifeng Zhu, Yilin Wu, Ying Xu, Yixuan Wang, Yonatan Bisk, Yoonyoung Cho, Youngwoon Lee, Yuchen Cui, Yue Cao, Yueh-Hua Wu, Yujin Tang, Yuke Zhu, Yunchu Zhang, Yunfan Jiang, Yunshuang Li, Yunzhu Li, Yusuke Iwasawa, Yutaka Matsuo, Zehan Ma, Zhuo Xu, Zichen Jeff Cui, Zichen Zhang, Zipeng Lin:
Open X-Embodiment: Robotic Learning Datasets and RT-X Models : Open X-Embodiment Collaboration. ICRA 2024: 6892-6903 - [c92]Kaiwen Jiang, Yang Fu, Mukund Varma T., Yash Belhe, Xiaolong Wang, Hao Su, Ravi Ramamoorthi:
A Construct-Optimize Approach to Sparse View Synthesis without Camera Pose. SIGGRAPH (Conference Paper Track) 2024: 124 - [i134]Jun Wang, Yuzhe Qin, Kaiming Kuang, Yigit Korkmaz, Akhilan Gurumoorthy, Hao Su, Xiaolong Wang:
CyberDemo: Augmenting Simulated Human Demonstration for Real-World Dexterous Manipulation. CoRR abs/2402.14795 (2024) - [i133]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) - [i132]Mukund Varma T., Peihao Wang, Zhiwen Fan, Zhangyang Wang, Hao Su, Ravi Ramamoorthi:
Lift3D: Zero-Shot Lifting of Any 2D Vision Model to 3D. CoRR abs/2403.18922 (2024) - [i131]Tongzhou Mu, Yijie Guo, Jie Xu, Ankit Goyal, Hao Su, Dieter Fox, Animesh Garg:
AdaDemo: Data-Efficient Demonstration Expansion for Generalist Robotic Agent. CoRR abs/2404.07428 (2024) - [i130]Isabella Liu, Hao Su, Xiaolong Wang:
Dynamic Gaussians Mesh: Consistent Mesh Reconstruction from Monocular Videos. CoRR abs/2404.12379 (2024) - [i129]Xinyue Wei, Kai Zhang, Sai Bi, Hao Tan, Fujun Luan, Valentin Deschaintre, Kalyan Sunkavalli, Hao Su, Zexiang Xu:
MeshLRM: Large Reconstruction Model for High-Quality Mesh. CoRR abs/2404.12385 (2024) - [i128]Tongzhou Mu, Minghua Liu, Hao Su:
DrS: Learning Reusable Dense Rewards for Multi-Stage Tasks. CoRR abs/2404.16779 (2024) - [i127]Pengwei Xie, Rui Chen, Siang Chen, Yuzhe Qin, Fanbo Xiang, Tianyu Sun, Jing Xu, Guijin Wang, Hao Su:
Part-Guided 3D RL for Sim2Real Articulated Object Manipulation. CoRR abs/2404.17302 (2024) - [i126]Stone Tao, Arth Shukla, Tse-kai Chan, Hao Su:
Reverse Forward Curriculum Learning for Extreme Sample and Demonstration Efficiency in Reinforcement Learning. CoRR abs/2405.03379 (2024) - [i125]Kaiwen Jiang, Yang Fu, Mukund Varma T., Yash Belhe, Xiaolong Wang, Hao Su, Ravi Ramamoorthi:
A Construct-Optimize Approach to Sparse View Synthesis without Camera Pose. CoRR abs/2405.03659 (2024) - [i124]Xuanlin Li, Kyle Hsu, Jiayuan Gu, Karl Pertsch, Oier Mees, Homer Rich Walke, Chuyuan Fu, Ishikaa Lunawat, Isabel Sieh, Sean Kirmani, Sergey Levine, Jiajun Wu, Chelsea Finn, Hao Su, Quan Vuong, Ted Xiao:
Evaluating Real-World Robot Manipulation Policies in Simulation. CoRR abs/2405.05941 (2024) - [i123]Yutao Feng, Yintong Shang, Xiang Feng, Lei Lan, Shandian Zhe, Tianjia Shao, Hongzhi Wu, Kun Zhou, Hao Su, Chenfanfu Jiang, Yin Yang:
ElastoGen: 4D Generative Elastodynamics. CoRR abs/2405.15056 (2024) - [i122]Nicklas Hansen, Jyothir S. V, Vlad Sobal, Yann LeCun, Xiaolong Wang, Hao Su:
Hierarchical World Models as Visual Whole-Body Humanoid Controllers. CoRR abs/2405.18418 (2024) - [i121]Yuchen Zhou, Jiayuan Gu, Tung Yen Chiang, Fanbo Xiang, Hao Su:
Point-SAM: Promptable 3D Segmentation Model for Point Clouds. CoRR abs/2406.17741 (2024) - [i120]Chao Xu, Ang Li, Linghao Chen, Yulin Liu, Ruoxi Shi, Hao Su, Minghua Liu:
SpaRP: Fast 3D Object Reconstruction and Pose Estimation from Sparse Views. CoRR abs/2408.10195 (2024) - [i119]Minghua Liu, Chong Zeng, Xinyue Wei, Ruoxi Shi, Linghao Chen, Chao Xu, Mengqi Zhang, Zhaoning Wang, Xiaoshuai Zhang, Isabella Liu, Hongzhi Wu, Hao Su:
MeshFormer: High-Quality Mesh Generation with 3D-Guided Reconstruction Model. CoRR abs/2408.10198 (2024) - [i118]Xiaoshuai Zhang, Zhicheng Wang, Howard Zhou, Soham Ghosh, Danushen Gnanapragasam, Varun Jampani, Hao Su, Leonidas J. Guibas:
ConDense: Consistent 2D/3D Pre-training for Dense and Sparse Features from Multi-View Images. CoRR abs/2408.17027 (2024) - 2023
- [j30]Rui Chen, Isabella Liu, Edward Yang, Jianyu Tao, Xiaoshuai Zhang, Qing Ran, Zhu Liu, Jing Xu, Hao Su:
ActiveZero++: Mixed Domain Learning Stereo and Confidence-Based Depth Completion With Zero Annotation. IEEE Trans. Pattern Anal. Mach. Intell. 45(12): 14098-14113 (2023) - [j29]Pengwei Xie, Rui Chen, Siang Chen, Yuzhe Qin, Fanbo Xiang, Tianyu Sun, Jing Xu, Guijin Wang, Hao Su:
Part-Guided 3D RL for Sim2Real Articulated Object Manipulation. IEEE Robotics Autom. Lett. 8(11): 7178-7185 (2023) - [j28]Linghao Chen, Yuzhe Qin, Xiaowei Zhou, Hao Su:
EasyHeC: Accurate and Automatic Hand-Eye Calibration Via Differentiable Rendering and Space Exploration. IEEE Robotics Autom. Lett. 8(11): 7234-7241 (2023) - [j27]Anpei Chen, Zexiang Xu, Xinyue Wei, Siyu Tang, Hao Su, Andreas Geiger:
Dictionary Fields: Learning a Neural Basis Decomposition. ACM Trans. Graph. 42(4): 156:1-156:12 (2023) - [j26]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) - [c91]Zhiwei Jia, Pradyumna Narayana, Arjun R. Akula, Garima Pruthi, Hao Su, Sugato Basu, Varun Jampani:
KAFA: Rethinking Image Ad Understanding with Knowledge-Augmented Feature Adaptation of Vision-Language Models. ACL (industry) 2023: 772-785 - [c90]Luobin Wang, Runlin Guo, Quan Vuong, Yuzhe Qin, Hao Su, Henrik I. Christensen:
A Real2Sim2Real Method for Robust Object Grasping with Neural Surface Reconstruction. CASE 2023: 1-8 - [c89]Haian Jin, Isabella Liu, Peijia Xu, Xiaoshuai Zhang, Songfang Han, Sai Bi, Xiaowei Zhou, Zexiang Xu, Hao Su:
TensoIR: Tensorial Inverse Rendering. CVPR 2023: 165-174 - [c88]Xiaoshuai Zhang, Abhijit Kundu, Thomas A. Funkhouser, Leonidas J. Guibas, Hao Su, Kyle Genova:
Nerflets: Local Radiance Fields for Efficient Structure-Aware 3D Scene Representation from 2D Supervision. CVPR 2023: 8274-8284 - [c87]Minghua Liu, Yinhao Zhu, Hong Cai, Shizhong Han, Zhan Ling, Fatih Porikli, Hao Su:
PartSLIP: Low-Shot Part Segmentation for 3D Point Clouds via Pretrained Image-Language Models. CVPR 2023: 21736-21746 - [c86]Hansheng Chen, Jiatao Gu, Anpei Chen, Wei Tian, Zhuowen Tu, Lingjie Liu, Hao Su:
Single-Stage Diffusion NeRF: A Unified Approach to 3D Generation and Reconstruction. ICCV 2023: 2416-2425 - [c85]Xuanlin Li, Yunhao Fang, Minghua Liu, Zhan Ling, Zhuowen Tu, Hao Su:
Distilling Large Vision-Language Model with Out-of-Distribution Generalizability. ICCV 2023: 2492-2503 - [c84]Quankai Gao, Qiangeng Xu, Hao Su, Ulrich Neumann, Zexiang Xu:
Strivec: Sparse Tri-Vector Radiance Fields. ICCV 2023: 17523-17533 - [c83]Nicklas Hansen, Yixin Lin, Hao Su, Xiaolong Wang, Vikash Kumar, Aravind Rajeswaran:
MoDem: Accelerating Visual Model-Based Reinforcement Learning with Demonstrations. ICLR 2023 - [c82]Jiayuan Gu, Devendra Singh Chaplot, Hao Su, Jitendra Malik:
Multi-skill Mobile Manipulation for Object Rearrangement. ICLR 2023 - [c81]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 - [c80]Sizhe Li, Zhiao Huang, Tao Chen, Tao Du, Hao Su, Joshua B. Tenenbaum, Chuang Gan:
DexDeform: Dexterous Deformable Object Manipulation with Human Demonstrations and Differentiable Physics. ICLR 2023 - [c79]Yifan Xu, Nicklas Hansen, Zirui Wang, Yung-Chieh Chan, Hao Su, Zhuowen Tu:
On the Feasibility of Cross-Task Transfer with Model-Based Reinforcement Learning. ICLR 2023 - [c78]Nicklas Hansen, Zhecheng Yuan, Yanjie Ze, Tongzhou Mu, Aravind Rajeswaran, Hao Su, Huazhe Xu, Xiaolong Wang:
On Pre-Training for Visuo-Motor Control: Revisiting a Learning-from-Scratch Baseline. ICML 2023: 12511-12526 - [c77]Zhiao Huang, Litian Liang, Zhan Ling, Xuanlin Li, Chuang Gan, Hao Su:
Reparameterized Policy Learning for Multimodal Trajectory Optimization. ICML 2023: 13957-13975 - [c76]Stone Tao, Xiaochen Li, Tongzhou Mu, Zhiao Huang, Yuzhe Qin, Hao Su:
Abstract-to-Executable Trajectory Translation for One-Shot Task Generalization. ICML 2023: 33850-33882 - [c75]Zhiao Huang, Feng Chen, Yewen Pu, Chunru Lin, Hao Su, Chuang Gan:
DiffVL: Scaling Up Soft Body Manipulation using Vision-Language Driven Differentiable Physics. NeurIPS 2023 - [c74]Zhan Ling, Yunhao Fang, Xuanlin Li, Zhiao Huang, Mingu Lee, Roland Memisevic, Hao Su:
Deductive Verification of Chain-of-Thought Reasoning. NeurIPS 2023 - [c73]Isabella Liu, Linghao Chen, Ziyang Fu, Liwen Wu, Haian Jin, Zhong Li, Chin Ming Ryan Wong, Yi Xu, Ravi Ramamoorthi, Zexiang Xu, Hao Su:
OpenIllumination: A Multi-Illumination Dataset for Inverse Rendering Evaluation on Real Objects. NeurIPS 2023 - [c72]Minghua Liu, Ruoxi Shi, Kaiming Kuang, Yinhao Zhu, Xuanlin Li, Shizhong Han, Hong Cai, Fatih Porikli, Hao Su:
OpenShape: Scaling Up 3D Shape Representation Towards Open-World Understanding. NeurIPS 2023 - [c71]Minghua Liu, Chao Xu, Haian Jin, Linghao Chen, Mukund Varma T., Zexiang Xu, Hao Su:
One-2-3-45: Any Single Image to 3D Mesh in 45 Seconds without Per-Shape Optimization. NeurIPS 2023 - [c70]Yuzhe Qin, Wei Yang, Binghao Huang, Karl Van Wyk, Hao Su, Xiaolong Wang, Yu-Wei Chao, Dieter Fox:
AnyTeleop: A General Vision-Based Dexterous Robot Arm-Hand Teleoperation System. Robotics: Science and Systems 2023 - [i117]Anpei Chen, Zexiang Xu, Xinyue Wei, Siyu Tang, Hao Su, Andreas Geiger:
Factor Fields: A Unified Framework for Neural Fields and Beyond. CoRR abs/2302.01226 (2023) - [i116]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) - [i115]Xiaoshuai Zhang, Abhijit Kundu, Thomas A. Funkhouser, Leonidas J. Guibas, Hao Su, Kyle Genova:
Nerflets: Local Radiance Fields for Efficient Structure-Aware 3D Scene Representation from 2D Supervision. CoRR abs/2303.03361 (2023) - [i114]Kaizhi Yang, Xiaoshuai Zhang, Zhiao Huang, Xuejin Chen, Zexiang Xu, Hao Su:
MovingParts: Motion-based 3D Part Discovery in Dynamic Radiance Field. CoRR abs/2303.05703 (2023) - [i113]Tongzhou Mu, Hao Su:
Boosting Reinforcement Learning and Planning with Demonstrations: A Survey. CoRR abs/2303.13489 (2023) - [i112]Zhiwei Jia, Fangchen Liu, Vineet Thumuluri, Linghao Chen, Zhiao Huang, Hao Su:
Chain-of-Thought Predictive Control. CoRR abs/2304.00776 (2023) - [i111]Sizhe Li, Zhiao Huang, Tao Chen, Tao Du, Hao Su, Joshua B. Tenenbaum, Chuang Gan:
DexDeform: Dexterous Deformable Object Manipulation with Human Demonstrations and Differentiable Physics. CoRR abs/2304.03223 (2023) - [i110]Hansheng Chen, Jiatao Gu, Anpei Chen, Wei Tian, Zhuowen Tu, Lingjie Liu, Hao Su:
Single-Stage Diffusion NeRF: A Unified Approach to 3D Generation and Reconstruction. CoRR abs/2304.06714 (2023) - [i109]Haian Jin, Isabella Liu, Peijia Xu, Xiaoshuai Zhang, Songfang Han, Sai Bi, Xiaowei Zhou, Zexiang Xu, Hao Su:
TensoIR: Tensorial Inverse Rendering. CoRR abs/2304.12461 (2023) - [i108]Linghao Chen, Yuzhe Qin, Xiaowei Zhou, Hao Su:
EasyHeC: Accurate and Automatic Hand-eye Calibration via Differentiable Rendering and Space Exploration. CoRR abs/2305.01191 (2023) - [i107]Minghua Liu, Ruoxi Shi, Kaiming Kuang, Yinhao Zhu, Xuanlin Li, Shizhong Han, Hong Cai, Fatih Porikli, Hao Su:
OpenShape: Scaling Up 3D Shape Representation Towards Open-World Understanding. CoRR abs/2305.10764 (2023) - [i106]Xinyue Wei, Fanbo Xiang, Sai Bi, Anpei Chen, Kalyan Sunkavalli, Zexiang Xu, Hao Su:
NeuManifold: Neural Watertight Manifold Reconstruction with Efficient and High-Quality Rendering Support. CoRR abs/2305.17134 (2023) - [i105]Zhiwei Jia, Pradyumna Narayana, Arjun R. Akula, Garima Pruthi, Hao Su, Sugato Basu, Varun Jampani:
KAFA: Rethinking Image Ad Understanding with Knowledge-Augmented Feature Adaptation of Vision-Language Models. CoRR abs/2305.18373 (2023) - [i104]Zhan Ling, Yunhao Fang, Xuanlin Li, Zhiao Huang, Mingu Lee, Roland Memisevic, Hao Su:
Deductive Verification of Chain-of-Thought Reasoning. CoRR abs/2306.03872 (2023) - [i103]Zhan Ling, Yunchao Yao, Xuanlin Li, Hao Su:
On the Efficacy of 3D Point Cloud Reinforcement Learning. CoRR abs/2306.06799 (2023) - [i102]Minghua Liu, Chao Xu, Haian Jin, Linghao Chen, Mukund Varma T., Zexiang Xu, Hao Su:
One-2-3-45: Any Single Image to 3D Mesh in 45 Seconds without Per-Shape Optimization. CoRR abs/2306.16928 (2023) - [i101]Xuanlin Li, Yunhao Fang, Minghua Liu, Zhan Ling, Zhuowen Tu, Hao Su:
Distilling Large Vision-Language Model with Out-of-Distribution Generalizability. CoRR abs/2307.03135 (2023) - [i100]Yuzhe Qin, Wei Yang, Binghao Huang, Karl Van Wyk, Hao Su, Xiaolong Wang, Yu-Wei Chao, Dieter Fox:
AnyTeleop: A General Vision-Based Dexterous Robot Arm-Hand Teleoperation System. CoRR abs/2307.04577 (2023) - [i99]Zhiao Huang, Litian Liang, Zhan Ling, Xuanlin Li, Chuang Gan, Hao Su:
Reparameterized Policy Learning for Multimodal Trajectory Optimization. CoRR abs/2307.10710 (2023) - [i98]Quankai Gao, Qiangeng Xu, Hao Su, Ulrich Neumann, Zexiang Xu:
Strivec: Sparse Tri-Vector Radiance Fields. CoRR abs/2307.13226 (2023) - [i97]Isabella Liu, Linghao Chen, Ziyang Fu, Liwen Wu, Haian Jin, Zhong Li, Chin Ming Ryan Wong, Yi Xu, Ravi Ramamoorthi, Zexiang Xu, Hao Su:
OpenIllumination: A Multi-Illumination Dataset for Inverse Rendering Evaluation on Real Objects. CoRR abs/2309.07921 (2023) - [i96]Songlin Wei, Jiazhao Zhang, Yang Wang, Fanbo Xiang, Hao Su, He Wang:
FG-NeRF: Flow-GAN based Probabilistic Neural Radiance Field for Independence-Assumption-Free Uncertainty Estimation. CoRR abs/2309.16364 (2023) - [i95]Open X.-Embodiment Collaboration, Abhishek Padalkar, Acorn Pooley, Ajinkya Jain, Alex Bewley, Alexander Herzog, Alex Irpan, Alexander Khazatsky, Anant Raj, Anikait Singh, Anthony Brohan, Antonin Raffin, Ayzaan Wahid, Ben Burgess-Limerick, Beomjoon Kim, Bernhard Schölkopf, Brian Ichter, Cewu Lu, Charles Xu, Chelsea Finn, Chenfeng Xu, Cheng Chi, Chenguang Huang, Christine Chan, Chuer Pan, Chuyuan Fu, Coline Devin, Danny Driess, Deepak Pathak, Dhruv Shah, Dieter Büchler, Dmitry Kalashnikov, Dorsa Sadigh, Edward Johns, Federico Ceola, Fei Xia, Freek Stulp, Gaoyue Zhou, Gaurav S. Sukhatme, Gautam Salhotra, Ge Yan, Giulio Schiavi, Gregory Kahn, Hao Su, Haoshu Fang, Haochen Shi, Heni Ben Amor, Henrik I. Christensen, Hiroki Furuta, Homer Walke, Hongjie Fang, Igor Mordatch, Ilija Radosavovic, et al.:
Open X-Embodiment: Robotic Learning Datasets and RT-X Models. CoRR abs/2310.08864 (2023) - [i94]Ruoxi Shi, Hansheng Chen, Zhuoyang Zhang, Minghua Liu, Chao Xu, Xinyue Wei, Linghao Chen, Chong Zeng, Hao Su:
Zero123++: a Single Image to Consistent Multi-view Diffusion Base Model. CoRR abs/2310.15110 (2023) - [i93]Nicklas Hansen, Hao Su, Xiaolong Wang:
TD-MPC2: Scalable, Robust World Models for Continuous Control. CoRR abs/2310.16828 (2023) - [i92]Zhan Ling, Yunhao Fang, Xuanlin Li, Tongzhou Mu, Mingu Lee, Reza Pourreza, Roland Memisevic, Hao Su:
Unleashing the Creative Mind: Language Model As Hierarchical Policy For Improved Exploration on Challenging Problem Solving. CoRR abs/2311.00694 (2023) - [i91]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) - [i90]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) - [i89]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) - [i88]Zhiao Huang, Feng Chen, Yewen Pu, Chunru Lin, Hao Su, Chuang Gan:
DiffVL: Scaling Up Soft Body Manipulation using Vision-Language Driven Differentiable Physics. CoRR abs/2312.06408 (2023) - [i87]Litian Liang, Liuyu Bian, Caiwei Xiao, Jialin Zhang, Linghao Chen, Isabella Liu, Fanbo Xiang, Zhiao Huang, Hao Su:
Robo360: A 3D Omnispective Multi-Material Robotic Manipulation Dataset. CoRR abs/2312.06686 (2023) - 2022
- [j25]Ziyuan Liu, Wei Liu, Yuzhe Qin, Fanbo Xiang, Minghao Gou, Songyan Xin, Máximo A. Roa, Berk Çalli, Hao Su, Yu Sun, Ping Tan:
OCRTOC: A Cloud-Based Competition and Benchmark for Robotic Grasping and Manipulation. IEEE Robotics Autom. Lett. 7(1): 486-493 (2022) - [j24]Yuzhe Qin, Hao Su, Xiaolong Wang:
From One Hand to Multiple Hands: Imitation Learning for Dexterous Manipulation From Single-Camera Teleoperation. IEEE Robotics Autom. Lett. 7(4): 10873-10881 (2022) - [j23]Anpei Chen, Ruiyang Liu, Ling Xie, Zhang Chen, Hao Su, Jingyi Yu:
SofGAN: A Portrait Image Generator with Dynamic Styling. ACM Trans. Graph. 41(1): 1:1-1:26 (2022) - [j22]Shilin Zhu, Zexiang Xu, Tiancheng Sun, Alexandr Kuznetsov, Mark Meyer, Henrik Wann Jensen, Hao Su, Ravi Ramamoorthi:
Photon-Driven Neural Reconstruction for Path Guiding. ACM Trans. Graph. 41(1): 7:1-7:15 (2022) - [j21]Xinyue Wei, Minghua Liu, Zhan Ling, Hao Su:
Approximate convex decomposition for 3D meshes with collision-aware concavity and tree search. ACM Trans. Graph. 41(4): 42:1-42:18 (2022) - [j20]Yunuo Chen, Minchen Li, Lei Lan, Hao Su, Yin Yang, Chenfanfu Jiang:
A unified newton barrier method for multibody dynamics. ACM Trans. Graph. 41(4): 66:1-66:14 (2022) - [c69]Minghua Liu, Xuanlin Li, Zhan Ling, Yangyan Li, Hao Su:
Frame Mining: a Free Lunch for Learning Robotic Manipulation from 3D Point Clouds. CoRL 2022: 527-538 - [c68]Yuzhe Qin, Binghao Huang, Zhao-Heng Yin, Hao Su, Xiaolong Wang:
DexPoint: Generalizable Point Cloud Reinforcement Learning for Sim-to-Real Dexterous Manipulation. CoRL 2022: 594-605 - [c67]Xiaoshuai Zhang, Sai Bi, Kalyan Sunkavalli, Hao Su, Zexiang Xu:
NeRFusion: Fusing Radiance Fields for Large-Scale Scene Reconstruction. CVPR 2022: 5439-5448 - [c66]Isabella Liu, Edward Yang, Jianyu Tao, Rui Chen, Xiaoshuai Zhang, Qing Ran, Zhu Liu, Hao Su:
ActiveZero: Mixed Domain Learning for Active Stereovision with Zero Annotation. CVPR 2022: 13023-13032 - [c65]Minghua Liu, Yin Zhou, Charles R. Qi, Boqing Gong, Hao Su, Dragomir Anguelov:
LESS: Label-Efficient Semantic Segmentation for LiDAR Point Clouds. ECCV (39) 2022: 70-89 - [c64]Anpei Chen, Zexiang Xu, Andreas Geiger, Jingyi Yu, Hao Su:
TensoRF: Tensorial Radiance Fields. ECCV (32) 2022: 333-350 - [c63]Sizhe Li, Zhiao Huang, Tao Du, Hao Su, Joshua B. Tenenbaum, Chuang Gan:
Contact Points Discovery for Soft-Body Manipulations with Differentiable Physics. ICLR 2022 - [c62]