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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
General-Purpose Sim2Real Protocol for Learning Contact-Rich Manipulation With Marker-Based Visuotactile Sensors. IEEE Trans. Robotics 40: 1509-1526 (2024) - [c104]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 - [c103]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 - [c102]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 - [c101]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. ECCV (54) 2024: 19-38 - [c100]Chao Xu
SpaRP: Fast 3D Object Reconstruction and Pose Estimation from Sparse Views. ECCV (64) 2024: 143-163 - [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
A Construct-Optimize Approach to Sparse View Synthesis without Camera Pose. SIGGRAPH (Conference Paper Track) 2024: 124 - [i136]Jun Wang
CyberDemo: Augmenting Simulated Human Demonstration for Real-World Dexterous Manipulation. CoRR abs/2402.14795 (2024) - [i135]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) - [i134]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) - [i133]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) - [i132]Isabella Liu, Hao Su, Xiaolong Wang:
Dynamic Gaussians Mesh: Consistent Mesh Reconstruction from Monocular Videos. CoRR abs/2404.12379 (2024) - [i131]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) - [i130]Tongzhou Mu, Minghua Liu, Hao Su:
DrS: Learning Reusable Dense Rewards for Multi-Stage Tasks. CoRR abs/2404.16779 (2024) - [i129]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) - [i128]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) - [i127]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) - [i126]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) - [i125]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) - [i124]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) - [i123]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) - [i122]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) - [i121]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) - [i120]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) - [i119]Shangzhe Li, Zhiao Huang, Hao Su:
Reward-free World Models for Online Imitation Learning. CoRR abs/2410.14081 (2024) - [i118]Hansheng Chen, Bokui Shen, Yulin Liu, Ruoxi Shi, Linqi Zhou, Connor Z. Lin, Jiayuan Gu, Hao Su, Gordon Wetzstein, Leonidas J. Guibas:
3D-Adapter: Geometry-Consistent Multi-View Diffusion for High-Quality 3D Generation. CoRR abs/2410.18974 (2024) - 2023
- [j30]Rui Chen
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
Part-Guided 3D RL for Sim2Real Articulated Object Manipulation. IEEE Robotics Autom. Lett. 8(11): 7178-7185 (2023) - [j28]Linghao Chen
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
Dictionary Fields: Learning a Neural Basis Decomposition. ACM Trans. Graph. 42(4): 156:1-156:12 (2023) - [j26]Xiaoshuai Zhang
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
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
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
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
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
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
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
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
OCRTOC: A Cloud-Based Competition and Benchmark for Robotic Grasping and Manipulation. IEEE Robotics Autom. Lett. 7(1): 486-493 (2022) - [j24]Yuzhe Qin
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
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]Nicklas Hansen, Hao Su, Xiaolong Wang:
Temporal Difference Learning for Model Predictive Control. ICML 2022: 8387-8406 - [c61]Zhiwei Jia, Xuanlin Li, Zhan Ling, Shuang Liu, Yiran Wu, Hao Su:
Improving Policy Optimization with Generalist-Specialist Learning. ICML 2022: 10104-10119 - [i86]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) - [i85]Nicklas Hansen, Xiaolong Wang, Hao Su:
Temporal Difference Learning for Model Predictive Control. CoRR abs/2203.04955 (2022) - [i84]Anpei Chen, Zexiang Xu, Andreas Geiger, Jingyi Yu, Hao Su:
TensoRF: Tensorial Radiance Fields. CoRR abs/2203.09517 (2022) - [i83]Xiaoshuai Zhang, Sai Bi, Kalyan Sunkavalli, Hao Su, Zexiang Xu:
NeRFusion: Fusing Radiance Fields for Large-Scale Scene Reconstruction. CoRR abs/2203.11283 (2022) - [i82]Shuang Liu, Hao Su:
Provably Efficient Kernelized Q-Learning. CoRR abs/2204.10349 (2022) - [i81]Yuzhe Qin, Hao Su, Xiaolong Wang:
From One Hand to Multiple Hands: Imitation Learning for Dexterous Manipulation from Single-Camera Teleoperation. CoRR abs/2204.12490 (2022) - [i80]Sizhe Li, Zhiao Huang, Tao Du, Hao Su, Joshua B. Tenenbaum, Chuang Gan:
Contact Points Discovery for Soft-Body Manipulations with Differentiable Physics. CoRR abs/2205.02835 (2022) - [i79]Xinyue Wei, Minghua Liu, Zhan Ling, Hao Su:
Approximate Convex Decomposition for 3D Meshes with Collision-Aware Concavity and Tree Search. CoRR abs/2205.02961 (2022) - [i78]Zhiwei Jia, Xuanlin Li, Zhan Ling, Shuang Liu, Yiran Wu, Hao Su:
Improving Policy Optimization with Generalist-Specialist Learning. CoRR abs/2206.12984 (2022) - [i77]Jiayuan Gu, Devendra Singh Chaplot, Hao Su, Jitendra Malik:
Multi-skill Mobile Manipulation for Object Rearrangement. CoRR abs/2209.02778 (2022) - [i76]Luobin Wang, Runlin Guo, Quan Vuong
A Real2Sim2Real Method for Robust Object Grasping with Neural Surface Reconstruction. CoRR abs/2210.02685 (2022) - [i75]Minghua Liu, Xuanlin Li, Zhan Ling, Yangyan Li, Hao Su:
Frame Mining: a Free Lunch for Learning Robotic Manipulation from 3D Point Clouds. CoRR abs/2210.07442 (2022) - [i74]Stone Tao, Xiaochen Li, Tongzhou Mu, Zhiao Huang, Yuzhe Qin, Hao Su:
Abstract-to-Executable Trajectory Translation for One-Shot Task Generalization. CoRR abs/2210.07658 (2022) - [i73]Minghua Liu, Yin Zhou, Charles R. Qi, Boqing Gong, Hao Su, Dragomir Anguelov:
LESS: Label-Efficient Semantic Segmentation for LiDAR Point Clouds. CoRR abs/2210.08064 (2022) - [i72]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. CoRR abs/2210.10763 (2022) - [i71]Yuzhe Qin, Binghao Huang, Zhao-Heng Yin, Hao Su, Xiaolong Wang:
DexPoint: Generalizable Point Cloud Reinforcement Learning for Sim-to-Real Dexterous Manipulation. CoRR abs/2211.09423 (2022) - [i70]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. CoRR abs/2212.01558 (2022) - [i69]Nicklas Hansen, Yixin Lin, Hao Su, Xiaolong Wang, Vikash Kumar, Aravind Rajeswaran:
MoDem: Accelerating Visual Model-Based Reinforcement Learning with Demonstrations. CoRR abs/2212.05698 (2022) - [i68]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. CoRR abs/2212.05749 (2022) - 2021
- [j19]Rui Chen
Visibility-Aware Point-Based Multi-View Stereo Network. IEEE Trans. Pattern Anal. Mach. Intell. 43(10): 3695-3708 (2021) - [j18]Shilin Zhu, Zexiang Xu, Tiancheng Sun, Alexandr Kuznetsov, Mark Meyer, Henrik Wann Jensen, Hao Su, Ravi Ramamoorthi:
Hierarchical neural reconstruction for path guiding using hybrid path and photon samples. ACM Trans. Graph. 40(4): 35:1-35:16 (2021) - [c60]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 - [c59]Minghua Liu, Minhyuk Sung
DeepMetaHandles: Learning Deformation Meta-Handles of 3D Meshes With Biharmonic Coordinates. CVPR 2021: 12-21 - [c58]Fanbo Xiang, Zexiang Xu, Milos Hasan, Yannick Hold-Geoffroy, Kalyan Sunkavalli, Hao Su:
NeuTex: Neural Texture Mapping for Volumetric Neural Rendering. CVPR 2021: 7119-7128 - [c57]Quan Meng, Anpei Chen, Haimin Luo, Minye Wu, Hao Su, Lan Xu
GNeRF: GAN-based Neural Radiance Field without Posed Camera. ICCV 2021: 6331-6341 - [c56]Yijia Weng, He Wang, Qiang Zhou, Yuzhe Qin
CAPTRA: CAtegory-level Pose Tracking for Rigid and Articulated Objects from Point Clouds. ICCV 2021: 13189-13198 - [c55]Anpei Chen, Zexiang Xu, Fuqiang Zhao, Xiaoshuai Zhang, Fanbo Xiang, Jingyi Yu, Hao Su:
MVSNeRF: Fast Generalizable Radiance Field Reconstruction from Multi-View Stereo. ICCV 2021: 14104-14113 - [c54]Zhiwei Jia, Bodi Yuan, Kangkang Wang, Hong Wu, David Clifford, Zhiqiang Yuan, Hao Su:
Semantically Robust Unpaired Image Translation for Data with Unmatched Semantics Statistics. ICCV 2021: 14253-14263 - [c53]Zhiao Huang, Yuanming Hu, Tao Du, Siyuan Zhou, Hao Su, Joshua B. Tenenbaum, Chuang Gan:
PlasticineLab: A Soft-Body Manipulation Benchmark with Differentiable Physics. ICLR 2021 - [c52]Nicklas Hansen, Hao Su, Xiaolong Wang:
Stabilizing Deep Q-Learning with ConvNets and Vision Transformers under Data Augmentation. NeurIPS 2021: 3680-3693 - [c51]Tongzhou Mu, Zhan Ling, Fanbo Xiang, Derek Yang, Xuanlin Li, Stone Tao, Zhiao Huang, Zhiwei Jia, Hao Su:
ManiSkill: Generalizable Manipulation Skill Benchmark with Large-Scale Demonstrations. NeurIPS Datasets and Benchmarks 2021 - [i67]Minghua Liu, Minhyuk Sung, Radomír Mech, Hao Su:
DeepMetaHandles: Learning Deformation Meta-Handles of 3D Meshes with Biharmonic Coordinates. CoRR abs/2102.09105 (2021) - [i66]Fanbo Xiang, Zexiang Xu, Milos Hasan, Yannick Hold-Geoffroy, Kalyan Sunkavalli, Hao Su:
NeuTex: Neural Texture Mapping for Volumetric Neural Rendering. CoRR abs/2103.00762 (2021) - [i65]Anpei Chen, Zexiang Xu, Fuqiang Zhao, Xiaoshuai Zhang, Fanbo Xiang, Jingyi Yu, Hao Su:
MVSNeRF: Fast Generalizable Radiance Field Reconstruction from Multi-View Stereo. CoRR abs/2103.15595 (2021) - [i64]Quan Meng, Anpei Chen, Haimin Luo, Minye Wu, Hao Su, Lan Xu, Xuming He, Jingyi Yu:
GNeRF: GAN-based Neural Radiance Field without Posed Camera. CoRR abs/2103.15606 (2021) - [i63]Zhiao Huang, Yuanming Hu, Tao Du, Siyuan Zhou, Hao Su, Joshua B. Tenenbaum, Chuang Gan:
PlasticineLab: A Soft-Body Manipulation Benchmark with Differentiable Physics. CoRR abs/2104.03311 (2021) - [i62]Yijia Weng, He Wang, Qiang Zhou, Yuzhe Qin, Yueqi Duan, Qingnan Fan, Baoquan Chen, Hao Su, Leonidas J. Guibas:
CAPTRA: CAtegory-level Pose Tracking for Rigid and Articulated Objects from Point Clouds. CoRR abs/2104.03437 (2021) - [i61]Ziyuan Liu, Wei Liu, Yuzhe Qin, Fanbo Xiang, 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. CoRR abs/2104.11446 (2021) - [i60]Quan Vuong, Yuzhe Qin, Runlin Guo, Xiaolong Wang, Hao Su, Henrik I. Christensen:
Single RGB-D Camera Teleoperation for General Robotic Manipulation. CoRR abs/2106.14396 (2021) - [i59]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) - [i58]Nicklas Hansen, Hao Su, Xiaolong Wang:
Stabilizing Deep Q-Learning with ConvNets and Vision Transformers under Data Augmentation. CoRR abs/2107.00644 (2021) - [i57]Tongzhou Mu, Zhan Ling, Fanbo Xiang, Derek Yang, Xuanlin Li, Stone Tao, Zhiao Huang, Zhiwei Jia, Hao Su:
ManiSkill: Learning-from-Demonstrations Benchmark for Generalizable Manipulation Skills. CoRR abs/2107.14483 (2021) - [i56]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. CoRR abs/2112.02772 (2021) - 2020
- [j17]Shilin Zhu, Zexiang Xu, Henrik Wann Jensen, Hao Su, Ravi Ramamoorthi:
Deep Kernel Density Estimation for Photon Mapping. Comput. Graph. Forum 39(4): 35-45 (2020) - [c50]Uday Kusupati
Normal Assisted Stereo Depth Estimation. CVPR 2020: 2186-2196 - [c49]Shuo Cheng, Zexiang Xu, Shilin Zhu, Zhuwen Li, Li Erran Li, Ravi Ramamoorthi, Hao Su:
Deep Stereo Using Adaptive Thin Volume Representation With Uncertainty Awareness. CVPR 2020: 2521-2531 - [c48]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 - [c47]Fanbo Xiang, Yuzhe Qin
SAPIEN: A SimulAted Part-Based Interactive ENvironment. CVPR 2020: 11094-11104 - [c46]Minghua Liu, Xiaoshuai Zhang, Hao Su:
Meshing Point Clouds with Predicted Intrinsic-Extrinsic Ratio Guidance. ECCV (8) 2020: 68-84 - [c45]Daniel Liu, Ronald Yu, Hao Su:
Adversarial Shape Perturbations on 3D Point Clouds. ECCV Workshops (1) 2020: 88-104 - [c44]Jiayuan Gu
Weakly-Supervised 3D Shape Completion in the Wild. ECCV (5) 2020: 283-299 - [c43]Fangchen Liu, Zhan Ling, Tongzhou Mu, Hao Su:
State Alignment-based Imitation Learning. ICLR 2020 - [c42]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 - [c41]Zhiwei Jia, Hao Su:
Information-Theoretic Local Minima Characterization and Regularization. ICML 2020: 4773-4783 - [c40]You-Yi Jau, Rui Zhu, Hao Su, Manmohan Chandraker:
Deep Keypoint-Based Camera Pose Estimation with Geometric Constraints. IROS 2020: 4950-4957 - [c39]Jiachen Li, Quan Vuong, Shuang Liu, Minghua Liu, Kamil Ciosek, Henrik I. Christensen, Hao Su:
Multi-task Batch Reinforcement Learning with Metric Learning. NeurIPS 2020 - [c38]Tongzhou Mu, Jiayuan Gu, Zhiwei Jia, Hao Tang, Hao Su:
Refactoring Policy for Compositional Generalizability using Self-Supervised Object Proposals. NeurIPS 2020 - [c37]Hao Tang, Zhiao Huang, Jiayuan Gu, Bao-Liang Lu, Hao Su:
Towards Scale-Invariant Graph-related Problem Solving by Iterative Homogeneous GNNs. NeurIPS 2020 - [i55]Shuang Liu, Hao Su:
Regret Bounds for Discounted MDPs. CoRR abs/2002.05138 (2020) - [i54]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) - [i53]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) - [i52]Shilin Zhu, Zexiang Xu, Henrik Wann Jensen, Hao Su, Ravi Ramamoorthi:
Deep Photon Mapping. CoRR abs/2004.12069 (2020) - [i51]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) - [i50]Minghua Liu, Xiaoshuai Zhang, Hao Su:
Meshing Point Clouds with Predicted Intrinsic-Extrinsic Ratio Guidance. CoRR abs/2007.09267 (2020) - [i49]You-Yi Jau, Rui Zhu, Hao Su, Manmohan Chandraker:
Deep Keypoint-Based Camera Pose Estimation with Geometric Constraints. CoRR abs/2007.15122 (2020) - [i48]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) - [i47]Shilin Zhu, Zexiang Xu, Tiancheng Sun, Alexandr Kuznetsov, Mark Meyer, Henrik Wann Jensen, Hao Su, Ravi Ramamoorthi:
Photon-Driven Neural Path Guiding. CoRR abs/2010.01775 (2020) - [i46]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) - [i45]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) - [i44]Dhruv Batra, Angel X. Chang, Sonia Chernova, Andrew J. Davison, Jia Deng, Vladlen Koltun, Sergey Levine, Jitendra Malik, Igor Mordatch, Roozbeh Mottaghi, Manolis Savva, Hao Su:
Rearrangement: A Challenge for Embodied AI. CoRR abs/2011.01975 (2020) - [i43]Songfang Han, Jiayuan Gu, Kaichun Mo, Li Yi, Siyu Hu, Xuejin Chen, Hao Su:
Compositionally Generalizable 3D Structure Prediction. CoRR abs/2012.02493 (2020) - [i42]Zhiwei Jia, Bodi Yuan, Kangkang Wang, Hong Wu, David Clifford, Zhiqiang Yuan, Hao Su:
Lipschitz Regularized CycleGAN for Improving Semantic Robustness in Unpaired Image-to-image Translation. CoRR abs/2012.04932 (2020)
2010 – 2019
- 2019
- [j16]Zexiang Xu, Sai Bi, Kalyan Sunkavalli, Sunil Hadap, Hao Su, Ravi Ramamoorthi:
Deep view synthesis from sparse photometric images. ACM Trans. Graph. 38(4): 76:1-76:13 (2019) - [j15]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) - [c36]Yuzhe Qin, Rui Chen, Hao Zhu, Meng Song, Jing Xu, Hao Su:
S4G: Amodal Single-view Single-Shot SE(3) Grasp Detection in Cluttered Scenes. CoRL 2019: 53-65 - [c35]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 - [c34]Shilin Zhu, Xin Dong, Hao Su:
Binary Ensemble Neural Network: More Bits per Network or More Networks per Bit? CVPR 2019: 4923-4932 - [c33]Bo Sun, Nian-Hsuan Tsai, Fangchen Liu, Ronald Yu, Hao Su:
Adversarial Defense by Stratified Convolutional Sparse Coding. CVPR 2019: 11447-11456 - [c32]Cheng Fu, Shilin Zhu, Huili Chen, Farinaz Koushanfar
SimBNN: A Similarity-Aware Binarized Neural Network Acceleration Framework. FCCM 2019: 319 - [c31]Cheng Fu, Shilin Zhu, Hao Su, Ching-En Lee, Jishen Zhao:
Towards Fast and Energy-Efficient Binarized Neural Network Inference on FPGA. FPGA 2019: 306 - [c30]Rui Chen, Songfang Han
Point-Based Multi-View Stereo Network. ICCV 2019: 1538-1547 - [c29]Maximilian Jaritz, Jiayuan Gu
Multi-View PointNet for 3D Scene Understanding. ICCV Workshops 2019: 3995-4003 - [c28]Daniel Liu, Ronald Yu, Hao Su:
Extending Adversarial Attacks and Defenses to Deep 3D Point Cloud Classifiers. ICIP 2019: 2279-2283 - [c27]Zhiao Huang, Fangchen Liu, Hao Su:
Mapping State Space using Landmarks for Universal Goal Reaching. NeurIPS 2019: 1940-1950 - [i41]Daniel Liu
Extending Adversarial Attacks and Defenses to Deep 3D Point Cloud Classifiers. CoRR abs/1901.03006 (2019) - [i40]Jun Gao, Chengcheng Tang, Vignesh Ganapathi-Subramanian, Jiahui Huang, Hao Su, Leonidas J. Guibas:
DeepSpline: Data-Driven Reconstruction of Parametric Curves and Surfaces. CoRR abs/1901.03781 (2019) - [i39]Quan Vuong, Sharad Vikram, Hao Su, Sicun Gao, Henrik I. Christensen:
How to pick the domain randomization parameters for sim-to-real transfer of reinforcement learning policies? CoRR abs/1903.11774 (2019) - [i38]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) - [i37]Rui Chen, Songfang Han, Jing Xu, Hao Su:
Point-Based Multi-View Stereo Network. CoRR abs/1908.04422 (2019) - [i36]Zhiao Huang, Fangchen Liu, Hao Su:
Mapping State Space using Landmarks for Universal Goal Reaching. CoRR abs/1908.05451 (2019) - [i35]Daniel Liu, Ronald Yu, Hao Su:
Adversarial point perturbations on 3D objects. CoRR abs/1908.06062 (2019) - [i34]Quan Vuong, Shuang Liu, Minghua Liu, Kamil Ciosek, Hao Su, Henrik Iskov Christensen:
Pre-training as Batch Meta Reinforcement Learning with tiMe. CoRR abs/1909.11373 (2019) - [i33]Yueh-Hua Wu, Ting-Han Fan, Peter J. Ramadge, Hao Su:
Model Imitation for Model-Based Reinforcement Learning. CoRR abs/1909.11821 (2019) - [i32]Maximilian Jaritz, Jiayuan Gu, Hao Su:
Multi-view PointNet for 3D Scene Understanding. CoRR abs/1909.13603 (2019) - [i31]Yuzhe Qin, Rui Chen, Hao Zhu, Meng Song, Jing Xu, Hao Su:
S4G: Amodal Single-view Single-Shot SE(3) Grasp Detection in Cluttered Scenes. CoRR abs/1910.14218 (2019) - [i30]Zhiwei Jia, Hao Su:
Information-Theoretic Local Minima Characterization and Regularization. CoRR abs/1911.08192 (2019) - [i29]Uday Kusupati, Shuo Cheng, Rui Chen, Hao Su:
Normal Assisted Stereo Depth Estimation. CoRR abs/1911.10444 (2019) - [i28]Fangchen Liu, Zhan Ling, Tongzhou Mu, Hao Su:
State Alignment-based Imitation Learning. CoRR abs/1911.10947 (2019) - [i27]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) - [i26]Shuo Cheng, Zexiang Xu, Shilin Zhu, Zhuwen Li, Li Erran Li, Ravi Ramamoorthi, Hao Su:
Deep Stereo using Adaptive Thin Volume Representation with Uncertainty Awareness. CoRR abs/1911.12012 (2019) - 2018
- [b1]Hao Su:
Deep 3D representation learning. Stanford University, USA, 2018 - [j14]Jiahui Huang, Jun Gao, Vignesh Ganapathi-Subramanian, Hao Su, Yin Liu, Chengcheng Tang, Leonidas J. Guibas:
DeepPrimitive: Image decomposition by layered primitive detection. Comput. Vis. Media 4(4): 385-397 (2018) - [j13]Li Yi, Haibin Huang, Difan Liu
Deep part induction from articulated object pairs. ACM Trans. Graph. 37(6): 209 (2018) - [c26]Charles R. Qi, Wei Liu, Chenxia Wu, Hao Su, Leonidas J. Guibas:
Frustum PointNets for 3D Object Detection From RGB-D Data. CVPR 2018: 918-927 - [c25]Chuang Gan, Boqing Gong, Kun Liu, Hao Su, Leonidas J. Guibas:
Geometry Guided Convolutional Neural Networks for Self-Supervised Video Representation Learning. CVPR 2018: 5589-5597 - [c24]Cewu Lu, Hao Su, Yonglu Li, Yongyi Lu, Li Yi, Chi-Keung Tang, Leonidas J. Guibas:
Beyond Holistic Object Recognition: Enriching Image Understanding With Part States. CVPR 2018: 6955-6963 - [c23]Minhyuk Sung, Hao Su, Ronald Yu, Leonidas J. Guibas:
Deep Functional Dictionaries: Learning Consistent Semantic Structures on 3D Models from Functions. NeurIPS 2018: 483-493 - [i25]Jingwei Huang, Hao Su, Leonidas J. Guibas:
Robust Watertight Manifold Surface Generation Method for ShapeNet Models. CoRR abs/1802.01698 (2018) - [i24]Minhyuk Sung, Hao Su, Ronald Yu, Leonidas J. Guibas:
Deep Functional Dictionaries: Learning Consistent Semantic Structures on 3D Models from Functions. CoRR abs/1805.09957 (2018) - [i23]Shilin Zhu, Xin Dong, Hao Su:
Binary Ensemble Neural Network: More Bits per Network or More Networks per Bit? CoRR abs/1806.07550 (2018) - [i22]Li Yi, Haibin Huang, Difan Liu, Evangelos Kalogerakis, Hao Su, Leonidas J. Guibas:
Deep Part Induction from Articulated Object Pairs. CoRR abs/1809.07417 (2018) - [i21]Cheng Fu, Shilin Zhu, Hao Su, Ching-En Lee, Jishen Zhao:
Towards Fast and Energy-Efficient Binarized Neural Network Inference on FPGA. CoRR abs/1810.02068 (2018) - [i20]Bo Sun, Nian-Hsuan Tsai, Fangchen Liu, Ronald Yu, Hao Su:
Adversarial Defense by Stratified Convolutional Sparse Coding. CoRR abs/1812.00037 (2018) - [i19]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
- [j12]Li Yi, Leonidas J. Guibas, Aaron Hertzmann
Learning hierarchical shape segmentation and labeling from online repositories. ACM Trans. Graph. 36(4): 70:1-70:12 (2017) - [j11]Minhyuk Sung
Complementme: weakly-supervised component suggestions for 3D modeling. ACM Trans. Graph. 36(6): 226:1-226:12 (2017) - [c22]Lin Shao, Angel X. Chang, Hao Su, Manolis Savva
Cross-Modal Attribute Transfer for Rescaling 3D Models. 3DV 2017: 640-648 - [c21]Manolis Savva
Large-Scale 3D Shape Retrieval from ShapeNet Core55. 3DOR@Eurographics 2017 - [c20]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 - [c19]Shubham Tulsiani, Hao Su, Leonidas J. Guibas, Alexei A. Efros, Jitendra Malik:
Learning Shape Abstractions by Assembling Volumetric Primitives. CVPR 2017: 1466-1474 - [c18]Haoqiang Fan, Hao Su, Leonidas J. Guibas:
A Point Set Generation Network for 3D Object Reconstruction from a Single Image. CVPR 2017: 2463-2471 - [c17]Li Yi, Hao Su, Xingwen Guo, Leonidas J. Guibas:
SyncSpecCNN: Synchronized Spectral CNN for 3D Shape Segmentation. CVPR 2017: 6584-6592 - [c16]Charles Ruizhongtai Qi, Li Yi, Hao Su, Leonidas J. Guibas:
PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space. NIPS 2017: 5099-5108 - [i18]Li Yi, Leonidas J. Guibas, Aaron Hertzmann, Vladimir G. Kim, Hao Su, Ersin Yumer:
Learning Hierarchical Shape Segmentation and Labeling from Online Repositories. CoRR abs/1705.01661 (2017) - [i17]Charles Ruizhongtai Qi, Li Yi, Hao Su, Leonidas J. Guibas:
PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space. CoRR abs/1706.02413 (2017) - [i16]Minhyuk Sung, Hao Su, Vladimir G. Kim, Siddhartha Chaudhuri, Leonidas J. Guibas:
ComplementMe: Weakly-Supervised Component Suggestions for 3D Modeling. CoRR abs/1708.01841 (2017) - [i15]Li Yi, Lin Shao, Manolis Savva, Haibin Huang, Yang Zhou, Qirui Wang, Benjamin Graham, Martin Engelcke, Roman Klokov, Victor S. Lempitsky, Yuan Gan, Pengyu Wang, Kun Liu, Fenggen Yu, Panpan Shui, Bingyang Hu, Yan Zhang, Yangyan Li, Rui Bu, Mingchao Sun, Wei Wu, Minki Jeong, Jaehoon Choi, Changick Kim, Angom Geetchandra, Narasimha Murthy, Bhargava Ramu, Bharadwaj Manda, M. Ramanathan, Gautam Kumar, P. Preetham, Siddharth Srivastava, Swati Bhugra, Brejesh Lall, Christian Häne, Shubham Tulsiani, Jitendra Malik, Jared Lafer, Ramsey Jones, Siyuan Li, Jie Lu, Shi Jin, Jingyi Yu, Qixing Huang, Evangelos Kalogerakis, Silvio Savarese, Pat Hanrahan, Thomas A. Funkhouser, Hao Su, Leonidas J. Guibas:
Large-Scale 3D Shape Reconstruction and Segmentation from ShapeNet Core55. CoRR abs/1710.06104 (2017) - [i14]Charles Ruizhongtai Qi, Wei Liu, Chenxia Wu, Hao Su, Leonidas J. Guibas:
Frustum PointNets for 3D Object Detection from RGB-D Data. CoRR abs/1711.08488 (2017) - 2016
- [j10]Tuanfeng Y. Wang, Hao Su, Qixing Huang, Jingwei Huang, Leonidas J. Guibas, Niloy J. Mitra:
Unsupervised texture transfer from images to model collections. ACM Trans. Graph. 35(6): 177:1-177:13 (2016) - [j9]Li Yi, Vladimir G. Kim, Duygu Ceylan, I-Chao Shen, Mengyan Yan, Hao Su, Cewu Lu, Qixing Huang, Alla Sheffer, Leonidas J. Guibas:
A scalable active framework for region annotation in 3D shape collections. ACM Trans. Graph. 35(6): 210:1-210:12 (2016) - [j8]Kai Xu, Yifei Shi, Lintao Zheng, Junyu Zhang, Min Liu, Hui Huang
3D attention-driven depth acquisition for object identification. ACM Trans. Graph. 35(6): 238:1-238:14 (2016) - [c15]Wenzheng Chen, Huan Wang, Yangyan Li, Hao Su, Zhenhua Wang, Changhe Tu, Dani Lischinski
Synthesizing Training Images for Boosting Human 3D Pose Estimation. 3DV 2016: 479-488 - [c14]Manolis Savva
Large-Scale 3D Shape Retrieval from ShapeNet Core55. 3DOR@Eurographics 2016 - [c13]Charles Ruizhongtai Qi, Hao Su, Matthias Nießner, Angela Dai, Mengyuan Yan, Leonidas J. Guibas:
Volumetric and Multi-view CNNs for Object Classification on 3D Data. CVPR 2016: 5648-5656 - [c12]Yu Xiang, Wonhui Kim, Wei Chen, Jingwei Ji, Christopher B. Choy, Hao Su, Roozbeh Mottaghi, Leonidas J. Guibas, Silvio Savarese:
ObjectNet3D: A Large Scale Database for 3D Object Recognition. ECCV (8) 2016: 160-176 - [c11]Yangyan Li, Sören Pirk, Hao Su, Charles Ruizhongtai Qi, Leonidas J. Guibas:
FPNN: Field Probing Neural Networks for 3D Data. NIPS 2016: 307-315 - [i13]Wenzheng Chen, Huan Wang, Yangyan Li, Hao Su, Changhe Tu, Dani Lischinski
Synthesizing Training Images for Boosting Human 3D Pose Estimation. CoRR abs/1604.02703 (2016) - [i12]Charles Ruizhongtai Qi, Hao Su, Matthias Nießner, Angela Dai, Mengyuan Yan, Leonidas J. Guibas:
Volumetric and Multi-View CNNs for Object Classification on 3D Data. CoRR abs/1604.03265 (2016) - [i11]Yangyan Li, Sören Pirk, Hao Su, Charles Ruizhongtai Qi, Leonidas J. Guibas:
FPNN: Field Probing Neural Networks for 3D Data. CoRR abs/1605.06240 (2016) - [i10]Shubham Tulsiani, Hao Su, Leonidas J. Guibas, Alexei A. Efros, Jitendra Malik:
Learning Shape Abstractions by Assembling Volumetric Primitives. CoRR abs/1612.00404 (2016) - [i9]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) - [i8]Haoqiang Fan, Hao Su, Leonidas J. Guibas:
A Point Set Generation Network for 3D Object Reconstruction from a Single Image. CoRR abs/1612.00603 (2016) - [i7]Li Yi, Hao Su, Xingwen Guo, Leonidas J. Guibas:
SyncSpecCNN: Synchronized Spectral CNN for 3D Shape Segmentation. CoRR abs/1612.00606 (2016) - [i6]Cewu Lu, Hao Su, Yongyi Lu, Li Yi, Chi-Keung Tang, Leonidas J. Guibas:
Beyond Holistic Object Recognition: Enriching Image Understanding with Part States. CoRR abs/1612.07310 (2016) - 2015
- [j7]Hao Su, Adams Wei Yu:
Probabilistic modeling of scenes using object frames. Sci. China Inf. Sci. 58(3): 1-13 (2015) - [j6]Olga Russakovsky
ImageNet Large Scale Visual Recognition Challenge. Int. J. Comput. Vis. 115(3): 211-252 (2015) - [j5]Yangyan Li, Hao Su, Charles Ruizhongtai Qi, Noa Fish, Daniel Cohen-Or, Leonidas J. Guibas:
Joint embeddings of shapes and images via CNN image purification. ACM Trans. Graph. 34(6): 234:1-234:12 (2015) - [c10]Hao Su, Fan Wang, Eric Yi, Leonidas J. Guibas:
3D-Assisted Feature Synthesis for Novel Views of an Object. ICCV 2015: 2677-2685 - [c9]Hao Su, Charles Ruizhongtai Qi, Yangyan Li, Leonidas J. Guibas:
Render for CNN: Viewpoint Estimation in Images Using CNNs Trained with Rendered 3D Model Views. ICCV 2015: 2686-2694 - [i5]Hao Su, Charles Ruizhongtai Qi, Yangyan Li, Leonidas J. Guibas:
Render for CNN: Viewpoint Estimation in Images Using CNNs Trained with Rendered 3D Model Views. CoRR abs/1505.05641 (2015) - [i4]Angel X. Chang, Thomas A. Funkhouser, Leonidas J. Guibas, Pat Hanrahan, Qi-Xing Huang, Zimo Li, Silvio Savarese, Manolis Savva, Shuran Song, Hao Su, Jianxiong Xiao, Li Yi, Fisher Yu:
ShapeNet: An Information-Rich 3D Model Repository. CoRR abs/1512.03012 (2015) - 2014
- [j4]Li-Jia Li
Object Bank: An Object-Level Image Representation for High-Level Visual Recognition. Int. J. Comput. Vis. 107(1): 20-39 (2014) - [j3]Adams Wei Yu, Nikos Mamoulis, Hao Su:
Reverse Top-k Search using Random Walk with Restart. Proc. VLDB Endow. 7(5): 401-412 (2014) - [j2]Hao Su, Qixing Huang, Niloy J. Mitra, Yangyan Li, Leonidas J. Guibas:
Estimating image depth using shape collections. ACM Trans. Graph. 33(4): 37:1-37:11 (2014) - [i3]Olga Russakovsky, Jia Deng, Hao Su, Jonathan Krause, Sanjeev Satheesh, Sean Ma, Zhiheng Huang, Andrej Karpathy, Aditya Khosla, Michael S. Bernstein, Alexander C. Berg, Li Fei-Fei:
ImageNet Large Scale Visual Recognition Challenge. CoRR abs/1409.0575 (2014) - [i2]Hao Su, Fan Wang, Li Yi, Leonidas J. Guibas:
3D-Assisted Image Feature Synthesis for Novel Views of an Object. CoRR abs/1412.0003 (2014) - 2013
- [j1]Qi-Xing Huang, Hao Su, Leonidas J. Guibas:
Fine-grained semi-supervised labeling of large shape collections. ACM Trans. Graph. 32(6): 190:1-190:10 (2013) - [c8]Chen Chen, Hao Su, Qi-Xing Huang, Lin Zhang, Leonidas J. Guibas:
Pathlet learning for compressing and planning trajectories. SIGSPATIAL/GIS 2013: 382-385 - 2012
- [c7]Li-Jia Li
Multi-Level Structured Image Coding on High-Dimensional Image Representation. ACCV (2) 2012: 147-161 - [c6]Hao Su, Jia Deng, Li Fei-Fei:
Crowdsourcing Annotations for Visual Object Detection. HCOMP@AAAI 2012 - [c5]Adams Wei Yu, Hao Su, Li Fei-Fei:
Efficient Euclidean Projections onto the Intersection of Norm Balls. ICML 2012 - [i1]Adams Wei Yu, Hao Su, Li Fei-Fei:
Efficient Euclidean Projections onto the Intersection of Norm Balls. CoRR abs/1206.4638 (2012) - 2010
- [c4]Li-Jia Li
Objects as Attributes for Scene Classification. ECCV Workshops (1) 2010: 57-69 - [c3]Li-Jia Li, Hao Su, Eric P. Xing, Li Fei-Fei:
Object Bank: A High-Level Image Representation for Scene Classification & Semantic Feature Sparsification. NIPS 2010: 1378-1386
2000 – 2009
- 2009
- [c2]Min Sun, Hao Su, Silvio Savarese, Li Fei-Fei:
A multi-view probabilistic model for 3D object classes. CVPR 2009: 1247-1254 - [c1]Hao Su, Min Sun, Li Fei-Fei, Silvio Savarese:
Learning a dense multi-view representation for detection, viewpoint classification and synthesis of object categories. ICCV 2009: 213-220
Coauthor Index
[c101] [i135] [i120] [i118] [c88] [i115] [c60] [c56] [i62] [i59] [c48] [c47] [i53] [i51] [j15] [c35] [i40] [i38] [i27] [j14] [j13] [c26] [c25] [c24] [c23] [i25] [i24] [i22] [i19] [j12] [j11] [c22] [c20] [c19] [c18] [c17] [c16] [i18] [i17] [i16] [i15] [i14] [j10] [j9] [c13] [c12] [c11] [i12] [i11] [i10] [i9] [i8] [i7] [i6] [j5] [c10] [c9] [i5] [i4] [j2] [i2] [j1] [c8]
Charles R. Qi
aka: Charles Ruizhongtai Qi
aka: Charles Ruizhongtai Qi
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