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ORCIDHao 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
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2020 – today
- 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) - [c83]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 - [c82]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 - [c81]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 - [c80]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 - [c79]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 - [c78]Nicklas Hansen, Yixin Lin, Hao Su, Xiaolong Wang, Vikash Kumar, Aravind Rajeswaran:
MoDem: Accelerating Visual Model-Based Reinforcement Learning with Demonstrations. ICLR 2023 - [c77]Jiayuan Gu, Devendra Singh Chaplot, Hao Su, Jitendra Malik:
Multi-skill Mobile Manipulation for Object Rearrangement. ICLR 2023 - [c76]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 - [c75]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 - [c74]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 - [c73]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 - [c72]Zhiao Huang, Litian Liang, Zhan Ling, Xuanlin Li, Chuang Gan, Hao Su:
Reparameterized Policy Learning for Multimodal Trajectory Optimization. ICML 2023: 13957-13975 - [c71]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 - [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 - [i110]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) - [i109]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) - [i108]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) - [i107]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) - [i106]Tongzhou Mu, Hao Su:
Boosting Reinforcement Learning and Planning with Demonstrations: A Survey. CoRR abs/2303.13489 (2023) - [i105]Zhiwei Jia, Fangchen Liu, Vineet Thumuluri, Linghao Chen, Zhiao Huang, Hao Su:
Chain-of-Thought Predictive Control. CoRR abs/2304.00776 (2023) - [i104]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) - [i103]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) - [i102]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) - [i101]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) - [i100]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) - [i99]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) - [i98]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) - [i97]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) - [i96]Zhan Ling, Yunchao Yao, Xuanlin Li, Hao Su:
On the Efficacy of 3D Point Cloud Reinforcement Learning. CoRR abs/2306.06799 (2023) - [i95]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) - [i94]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) - [i93]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) - [i92]Zhiao Huang, Litian Liang, Zhan Ling, Xuanlin Li, Chuang Gan, Hao Su:
Reparameterized Policy Learning for Multimodal Trajectory Optimization. CoRR abs/2307.10710 (2023) - [i91]Quankai Gao, Qiangeng Xu, Hao Su, Ulrich Neumann, Zexiang Xu:
Strivec: Sparse Tri-Vector Radiance Fields. CoRR abs/2307.13226 (2023) - [i90]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) - [i89]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) - [i88]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) - [i87]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) - 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]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, Yuzhe Qin, Hao Su, Henrik I. Christensen:
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, Songfang Han, Jing Xu, Hao Su:
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, Radomír Mech, Hao Su:
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, Xuming He, Jingyi Yu:
GNeRF: GAN-based Neural Radiance Field without Posed Camera. ICCV 2021: 6331-6341 - [c56]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. 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, Shuo Cheng, Rui Chen, Hao Su:
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, 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. CVPR 2020: 11094-11104 - [c46]