Hao Su

According to our database, Hao Su authored at least 182 papers between 2009 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

General-Purpose Sim2Real Protocol for Learning Contact-Rich Manipulation With Marker-Based Visuotactile Sensors.

Weihang Chen, Jing Xu, Fanbo Xiang, Xiaodi Yuan, Hao Su, Rui Chen

IEEE Trans. Robotics, 2024

3D-Adapter: Geometry-Consistent Multi-View Diffusion for High-Quality 3D Generation.

Hansheng Chen, Bokui Shen, Yulin Liu, Ruoxi Shi, Linqi Zhou, Connor Z. Lin, Jiayuan Gu, Hao Su, Gordon Wetzstein, Leonidas J. Guibas

CoRR, 2024

Reward-free World Models for Online Imitation Learning.

Shangzhe Li, Zhiao Huang, Hao Su

CoRR, 2024

MeshFormer: High-Quality Mesh Generation with 3D-Guided Reconstruction Model.

Minghua Liu, Chong Zeng, Xinyue Wei, Ruoxi Shi, Linghao Chen, Chao Xu, Mengqi Zhang, Zhaoning Wang, Xiaoshuai Zhang, Isabella Liu, Hongzhi Wu, Hao Su

CoRR, 2024

Point-SAM: Promptable 3D Segmentation Model for Point Clouds.

Yuchen Zhou, Jiayuan Gu, Tung Yen Chiang, Fanbo Xiang, Hao Su

CoRR, 2024

Hierarchical World Models as Visual Whole-Body Humanoid Controllers.

Nicklas Hansen, Jyothir S. V, Vlad Sobal, Yann LeCun, Xiaolong Wang, Hao Su

CoRR, 2024

ElastoGen: 4D Generative Elastodynamics.

Yutao Feng, Yintong Shang, Xiang Feng, Lei Lan, Shandian Zhe, Tianjia Shao, Hongzhi Wu, Kun Zhou, Hao Su, Chenfanfu Jiang, Yin Yang

CoRR, 2024

Evaluating Real-World Robot Manipulation Policies in Simulation.

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

CoRR, 2024

Reverse Forward Curriculum Learning for Extreme Sample and Demonstration Efficiency in Reinforcement Learning.

Stone Tao, Arth Shukla, Tse-kai Chan, Hao Su

CoRR, 2024

MeshLRM: Large Reconstruction Model for High-Quality Mesh.

Xinyue Wei, Kai Zhang, Sai Bi, Hao Tan, Fujun Luan, Valentin Deschaintre, Kalyan Sunkavalli, Hao Su, Zexiang Xu

CoRR, 2024

Dynamic Gaussians Mesh: Consistent Mesh Reconstruction from Monocular Videos.

Isabella Liu, Hao Su, Xiaolong Wang

CoRR, 2024

AdaDemo: Data-Efficient Demonstration Expansion for Generalist Robotic Agent.

Tongzhou Mu, Yijie Guo, Jie Xu, Ankit Goyal, Hao Su, Dieter Fox, Animesh Garg

CoRR, 2024

Generic 3D Diffusion Adapter Using Controlled Multi-View Editing.

Hansheng Chen, Ruoxi Shi, Yulin Liu, Bokui Shen, Jiayuan Gu, Gordon Wetzstein, Hao Su, Leonidas J. Guibas

CoRR, 2024

A Construct-Optimize Approach to Sparse View Synthesis without Camera Pose.

Kaiwen Jiang, Yang Fu, Mukund Varma T., Yash Belhe, Xiaolong Wang, Hao Su, Ravi Ramamoorthi

Proceedings of the ACM SIGGRAPH 2024 Conference Papers, 2024

Open X-Embodiment: Robotic Learning Datasets and RT-X Models : Open X-Embodiment Collaboration.

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

Proceedings of the IEEE International Conference on Robotics and Automation, 2024

Chain-of-Thought Predictive Control.

Zhiwei Jia, Vineet Thumuluri, Fangchen Liu, Linghao Chen, Zhiao Huang, Hao Su

Proceedings of the Forty-first International Conference on Machine Learning, 2024

MovingParts: Motion-based 3D Part Discovery in Dynamic Radiance Field.

Kaizhi Yang, Xiaoshuai Zhang, Zhiao Huang, Xuejin Chen, Zexiang Xu, Hao Su

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Reverse Forward Curriculum Learning for Extreme Sample and Demo Efficiency.

Stone Tao, Arth Shukla, Tse-kai Chan, Hao Su

Proceedings of the Twelfth International Conference on Learning Representations, 2024

DrS: Learning Reusable Dense Rewards for Multi-Stage Tasks.

Tongzhou Mu, Minghua Liu, Hao Su

Proceedings of the Twelfth International Conference on Learning Representations, 2024

RT-Trajectory: Robotic Task Generalization via Hindsight Trajectory Sketches.

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

Proceedings of the Twelfth International Conference on Learning Representations, 2024

TD-MPC2: Scalable, Robust World Models for Continuous Control.

Nicklas Hansen, Hao Su, Xiaolong Wang

Proceedings of the Twelfth International Conference on Learning Representations, 2024

CONDENSE: Consistent 2D/3D Pre-training for Dense and Sparse Features from Multi-View Images.

Xiaoshuai Zhang, Zhicheng Wang, Howard Zhou, Soham Ghosh, Danushen Gnanapragasam, Varun Jampani, Hao Su, Leonidas J. Guibas

Proceedings of the Computer Vision - ECCV 2024, 2024

SpaRP: Fast 3D Object Reconstruction and Pose Estimation from Sparse Views.

Chao Xu, Ang Li, Linghao Chen, Yulin Liu, Ruoxi Shi, Hao Su, Minghua Liu

Proceedings of the Computer Vision - ECCV 2024, 2024

CyberDemo: Augmenting Simulated Human Demonstration for Real-World Dexterous Manipulation.

Jun Wang, Yuzhe Qin, Kaiming Kuang, Yigit Korkmaz, Akhilan Gurumoorthy, Hao Su, Xiaolong Wang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Lift3D: Zero-Shot Lifting of Any 2D Vision Model to 3D.

Mukund Varma T., Peihao Wang, Zhiwen Fan, Zhangyang Wang, Hao Su, Ravi Ramamoorthi

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

One-2-3-45++: Fast Single Image to 3D Objects with Consistent Multi-View Generation and 3D Diffusion.

Minghua Liu, Ruoxi Shi, Linghao Chen, Zhuoyang Zhang, Chao Xu, Xinyue Wei, Hansheng Chen, Chong Zeng, Jiayuan Gu, Hao Su

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

ActiveZero++: Mixed Domain Learning Stereo and Confidence-Based Depth Completion With Zero Annotation.

Rui Chen, Isabella Liu, Edward Yang, Jianyu Tao, Xiaoshuai Zhang, Qing Ran, Zhu Liu, Jing Xu, Hao Su

IEEE Trans. Pattern Anal. Mach. Intell., December, 2023

Part-Guided 3D RL for Sim2Real Articulated Object Manipulation.

Pengwei Xie, Rui Chen, Siang Chen, Yuzhe Qin, Fanbo Xiang, Tianyu Sun, Jing Xu, Guijin Wang, Hao Su

IEEE Robotics Autom. Lett., November, 2023

EasyHeC: Accurate and Automatic Hand-Eye Calibration Via Differentiable Rendering and Space Exploration.

Linghao Chen, Yuzhe Qin, Xiaowei Zhou, Hao Su

IEEE Robotics Autom. Lett., November, 2023

Dictionary Fields: Learning a Neural Basis Decomposition.

Anpei Chen, Zexiang Xu, Xinyue Wei, Siyu Tang, Hao Su, Andreas Geiger

ACM Trans. Graph., August, 2023

Close the Optical Sensing Domain Gap by Physics-Grounded Active Stereo Sensor Simulation.

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

IEEE Trans. Robotics, June, 2023

Robo360: A 3D Omnispective Multi-Material Robotic Manipulation Dataset.

Litian Liang, Liuyu Bian, Caiwei Xiao, Jialin Zhang, Linghao Chen, Isabella Liu, Fanbo Xiang, Zhiao Huang, Hao Su

CoRR, 2023

PartSLIP++: Enhancing Low-Shot 3D Part Segmentation via Multi-View Instance Segmentation and Maximum Likelihood Estimation.

Yuchen Zhou, Jiayuan Gu, Xuanlin Li, Minghua Liu, Yunhao Fang, Hao Su

CoRR, 2023

Unleashing the Creative Mind: Language Model As Hierarchical Policy For Improved Exploration on Challenging Problem Solving.

Zhan Ling, Yunhao Fang, Xuanlin Li, Tongzhou Mu, Mingu Lee, Reza Pourreza, Roland Memisevic, Hao Su

CoRR, 2023

Zero123++: a Single Image to Consistent Multi-view Diffusion Base Model.

Ruoxi Shi, Hansheng Chen, Zhuoyang Zhang, Minghua Liu, Chao Xu, Xinyue Wei, Linghao Chen, Chong Zeng, Hao Su

CoRR, 2023

Open X-Embodiment: Robotic Learning Datasets and RT-X Models.

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.

CoRR, 2023

FG-NeRF: Flow-GAN based Probabilistic Neural Radiance Field for Independence-Assumption-Free Uncertainty Estimation.

Songlin Wei, Jiazhao Zhang, Yang Wang, Fanbo Xiang, Hao Su, He Wang

CoRR, 2023

On the Efficacy of 3D Point Cloud Reinforcement Learning.

Zhan Ling, Yunchao Yao, Xuanlin Li, Hao Su

CoRR, 2023

NeuManifold: Neural Watertight Manifold Reconstruction with Efficient and High-Quality Rendering Support.

Xinyue Wei, Fanbo Xiang, Sai Bi, Anpei Chen, Kalyan Sunkavalli, Zexiang Xu, Hao Su

CoRR, 2023

Boosting Reinforcement Learning and Planning with Demonstrations: A Survey.

Tongzhou Mu, Hao Su

CoRR, 2023

Factor Fields: A Unified Framework for Neural Fields and Beyond.

Anpei Chen, Zexiang Xu, Xinyue Wei, Siyu Tang, Hao Su, Andreas Geiger

CoRR, 2023

AnyTeleop: A General Vision-Based Dexterous Robot Arm-Hand Teleoperation System.

Yuzhe Qin, Wei Yang, Binghao Huang, Karl Van Wyk, Hao Su, Xiaolong Wang, Yu-Wei Chao, Dieter Fox

Proceedings of the Robotics: Science and Systems XIX, Daegu, 2023

One-2-3-45: Any Single Image to 3D Mesh in 45 Seconds without Per-Shape Optimization.

Minghua Liu, Chao Xu, Haian Jin, Linghao Chen, Mukund Varma T., Zexiang Xu, Hao Su

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

OpenShape: Scaling Up 3D Shape Representation Towards Open-World Understanding.

Minghua Liu, Ruoxi Shi, Kaiming Kuang, Yinhao Zhu, Xuanlin Li, Shizhong Han, Hong Cai, Fatih Porikli, Hao Su

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

OpenIllumination: A Multi-Illumination Dataset for Inverse Rendering Evaluation on Real Objects.

Isabella Liu, Linghao Chen, Ziyang Fu, Liwen Wu, Haian Jin, Zhong Li, Chin Ming Ryan Wong, Yi Xu, Ravi Ramamoorthi, Zexiang Xu, Hao Su

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Deductive Verification of Chain-of-Thought Reasoning.

Zhan Ling, Yunhao Fang, Xuanlin Li, Zhiao Huang, Mingu Lee, Roland Memisevic, Hao Su

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

DiffVL: Scaling Up Soft Body Manipulation using Vision-Language Driven Differentiable Physics.

Zhiao Huang, Feng Chen, Yewen Pu, Chunru Lin, Hao Su, Chuang Gan

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Abstract-to-Executable Trajectory Translation for One-Shot Task Generalization.

Stone Tao, Xiaochen Li, Tongzhou Mu, Zhiao Huang, Yuzhe Qin, Hao Su

Proceedings of the International Conference on Machine Learning, 2023

Reparameterized Policy Learning for Multimodal Trajectory Optimization.

Zhiao Huang, Litian Liang, Zhan Ling, Xuanlin Li, Chuang Gan, Hao Su

Proceedings of the International Conference on Machine Learning, 2023

On Pre-Training for Visuo-Motor Control: Revisiting a Learning-from-Scratch Baseline.

Nicklas Hansen, Zhecheng Yuan, Yanjie Ze, Tongzhou Mu, Aravind Rajeswaran, Hao Su, Huazhe Xu, Xiaolong Wang

Proceedings of the International Conference on Machine Learning, 2023

On the Feasibility of Cross-Task Transfer with Model-Based Reinforcement Learning.

Yifan Xu, Nicklas Hansen, Zirui Wang, Yung-Chieh Chan, Hao Su, Zhuowen Tu

Proceedings of the Eleventh International Conference on Learning Representations, 2023

DexDeform: Dexterous Deformable Object Manipulation with Human Demonstrations and Differentiable Physics.

Sizhe Li, Zhiao Huang, Tao Chen, Tao Du, Hao Su, Joshua B. Tenenbaum, Chuang Gan

Proceedings of the Eleventh International Conference on Learning Representations, 2023

ManiSkill2: A Unified Benchmark for Generalizable Manipulation Skills.

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

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Multi-skill Mobile Manipulation for Object Rearrangement.

Jiayuan Gu, Devendra Singh Chaplot, Hao Su, Jitendra Malik

Proceedings of the Eleventh International Conference on Learning Representations, 2023

MoDem: Accelerating Visual Model-Based Reinforcement Learning with Demonstrations.

Nicklas Hansen, Yixin Lin, Hao Su, Xiaolong Wang, Vikash Kumar, Aravind Rajeswaran

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Distilling Large Vision-Language Model with Out-of-Distribution Generalizability.

Xuanlin Li, Yunhao Fang, Minghua Liu, Zhan Ling, Zhuowen Tu, Hao Su

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Strivec: Sparse Tri-Vector Radiance Fields.

Quankai Gao, Qiangeng Xu, Hao Su, Ulrich Neumann, Zexiang Xu

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Single-Stage Diffusion NeRF: A Unified Approach to 3D Generation and Reconstruction.

Hansheng Chen, Jiatao Gu, Anpei Chen, Wei Tian, Zhuowen Tu, Lingjie Liu, Hao Su

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Nerflets: Local Radiance Fields for Efficient Structure-Aware 3D Scene Representation from 2D Supervision.

Xiaoshuai Zhang, Abhijit Kundu, Thomas A. Funkhouser, Leonidas J. Guibas, Hao Su, Kyle Genova

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

PartSLIP: Low-Shot Part Segmentation for 3D Point Clouds via Pretrained Image-Language Models.

Minghua Liu, Yinhao Zhu, Hong Cai, Shizhong Han, Zhan Ling, Fatih Porikli, Hao Su

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

TensoIR: Tensorial Inverse Rendering.

Haian Jin, Isabella Liu, Peijia Xu, Xiaoshuai Zhang, Songfang Han, Sai Bi, Xiaowei Zhou, Zexiang Xu, Hao Su

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

A Real2Sim2Real Method for Robust Object Grasping with Neural Surface Reconstruction.

Luobin Wang, Runlin Guo, Quan Vuong, Yuzhe Qin, Hao Su, Henrik I. Christensen

Proceedings of the 19th IEEE International Conference on Automation Science and Engineering, 2023

KAFA: Rethinking Image Ad Understanding with Knowledge-Augmented Feature Adaptation of Vision-Language Models.

Zhiwei Jia, Pradyumna Narayana, Arjun R. Akula, Garima Pruthi, Hao Su, Sugato Basu, Varun Jampani

Proceedings of the The 61st Annual Meeting of the Association for Computational Linguistics: Industry Track, 2023

2022

Photon-Driven Neural Reconstruction for Path Guiding.

Shilin Zhu, Zexiang Xu, Tiancheng Sun, Alexandr Kuznetsov, Mark Meyer, Henrik Wann Jensen, Hao Su, Ravi Ramamoorthi

ACM Trans. Graph., 2022

Approximate convex decomposition for 3D meshes with collision-aware concavity and tree search.

Xinyue Wei, Minghua Liu, Zhan Ling, Hao Su

ACM Trans. Graph., 2022

SofGAN: A Portrait Image Generator with Dynamic Styling.

Anpei Chen, Ruiyang Liu, Ling Xie, Zhang Chen, Hao Su, Jingyi Yu

ACM Trans. Graph., 2022

A unified newton barrier method for multibody dynamics.

Yunuo Chen, Minchen Li, Lei Lan, Hao Su, Yin Yang, Chenfanfu Jiang

ACM Trans. Graph., 2022

From One Hand to Multiple Hands: Imitation Learning for Dexterous Manipulation From Single-Camera Teleoperation.

Yuzhe Qin, Hao Su, Xiaolong Wang

IEEE Robotics Autom. Lett., 2022

OCRTOC: A Cloud-Based Competition and Benchmark for Robotic Grasping and Manipulation.

Ziyuan Liu, Wei Liu, Yuzhe Qin, Fanbo Xiang, Minghao Gou, Songyan Xin, Máximo A. Roa, Berk Çalli, Hao Su, Yu Sun, Ping Tan

IEEE Robotics Autom. Lett., 2022

Provably Efficient Kernelized Q-Learning.

Shuang Liu, Hao Su

CoRR, 2022

Close the Visual Domain Gap by Physics-Grounded Active Stereovision Depth Sensor Simulation.

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

CoRR, 2022

Improving Policy Optimization with Generalist-Specialist Learning.

Zhiwei Jia, Xuanlin Li, Zhan Ling, Shuang Liu, Yiran Wu, Hao Su

Proceedings of the International Conference on Machine Learning, 2022

Temporal Difference Learning for Model Predictive Control.

Nicklas Hansen, Hao Su, Xiaolong Wang

Proceedings of the International Conference on Machine Learning, 2022

Contact Points Discovery for Soft-Body Manipulations with Differentiable Physics.

Sizhe Li, Zhiao Huang, Tao Du, Hao Su, Joshua B. Tenenbaum, Chuang Gan

Proceedings of the Tenth International Conference on Learning Representations, 2022

LESS: Label-Efficient Semantic Segmentation for LiDAR Point Clouds.

Minghua Liu, Yin Zhou, Charles R. Qi, Boqing Gong, Hao Su, Dragomir Anguelov

Proceedings of the Computer Vision - ECCV 2022, 2022

TensoRF: Tensorial Radiance Fields.

Anpei Chen, Zexiang Xu, Andreas Geiger, Jingyi Yu, Hao Su

Proceedings of the Computer Vision - ECCV 2022, 2022

NeRFusion: Fusing Radiance Fields for Large-Scale Scene Reconstruction.

Xiaoshuai Zhang, Sai Bi, Kalyan Sunkavalli, Hao Su, Zexiang Xu

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

ActiveZero: Mixed Domain Learning for Active Stereovision with Zero Annotation.

Isabella Liu, Edward Yang, Jianyu Tao, Rui Chen, Xiaoshuai Zhang, Qing Ran, Zhu Liu, Hao Su

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

DexPoint: Generalizable Point Cloud Reinforcement Learning for Sim-to-Real Dexterous Manipulation.

Yuzhe Qin, Binghao Huang, Zhao-Heng Yin, Hao Su, Xiaolong Wang

Proceedings of the Conference on Robot Learning, 2022

Frame Mining: a Free Lunch for Learning Robotic Manipulation from 3D Point Clouds.

Minghua Liu, Xuanlin Li, Zhan Ling, Yangyan Li, Hao Su

Proceedings of the Conference on Robot Learning, 2022

2021

Hierarchical neural reconstruction for path guiding using hybrid path and photon samples.

Shilin Zhu, Zexiang Xu, Tiancheng Sun, Alexandr Kuznetsov, Mark Meyer, Henrik Wann Jensen, Hao Su, Ravi Ramamoorthi

ACM Trans. Graph., 2021

Visibility-Aware Point-Based Multi-View Stereo Network.

Rui Chen, Songfang Han, Jing Xu, Hao Su

IEEE Trans. Pattern Anal. Mach. Intell., 2021

ManiSkill: Learning-from-Demonstrations Benchmark for Generalizable Manipulation Skills.

Tongzhou Mu, Zhan Ling, Fanbo Xiang, Derek Yang, Xuanlin Li, Stone Tao, Zhiao Huang, Zhiwei Jia, Hao Su

CoRR, 2021

Single RGB-D Camera Teleoperation for General Robotic Manipulation.

Quan Vuong, Yuzhe Qin, Runlin Guo, Xiaolong Wang, Hao Su, Henrik I. Christensen

CoRR, 2021

OCRTOC: A Cloud-Based Competition and Benchmark for Robotic Grasping and Manipulation.

Ziyuan Liu, Wei Liu, Yuzhe Qin, Fanbo Xiang, Songyan Xin, Máximo A. Roa, Berk Çalli, Hao Su, Yu Sun, Ping Tan

CoRR, 2021

ManiSkill: Generalizable Manipulation Skill Benchmark with Large-Scale Demonstrations.

Tongzhou Mu, Zhan Ling, Fanbo Xiang, Derek Yang, Xuanlin Li, Stone Tao, Zhiao Huang, Zhiwei Jia, Hao Su

Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1, 2021

Stabilizing Deep Q-Learning with ConvNets and Vision Transformers under Data Augmentation.

Nicklas Hansen, Hao Su, Xiaolong Wang

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

PlasticineLab: A Soft-Body Manipulation Benchmark with Differentiable Physics.

Zhiao Huang, Yuanming Hu, Tao Du, Siyuan Zhou, Hao Su, Joshua B. Tenenbaum, Chuang Gan

Proceedings of the 9th International Conference on Learning Representations, 2021

CAPTRA: CAtegory-level Pose Tracking for Rigid and Articulated Objects from Point Clouds.

Yijia Weng, He Wang, Qiang Zhou, Yuzhe Qin, Yueqi Duan, Qingnan Fan, Baoquan Chen, Hao Su, Leonidas J. Guibas

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

GNeRF: GAN-based Neural Radiance Field without Posed Camera.

Quan Meng, Anpei Chen, Haimin Luo, Minye Wu, Hao Su, Lan Xu, Xuming He, Jingyi Yu

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Semantically Robust Unpaired Image Translation for Data with Unmatched Semantics Statistics.

Zhiwei Jia, Bodi Yuan, Kangkang Wang, Hong Wu, David Clifford, Zhiqiang Yuan, Hao Su

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

MVSNeRF: Fast Generalizable Radiance Field Reconstruction from Multi-View Stereo.

Anpei Chen, Zexiang Xu, Fuqiang Zhao, Xiaoshuai Zhang, Fanbo Xiang, Jingyi Yu, Hao Su

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

NeuTex: Neural Texture Mapping for Volumetric Neural Rendering.

Fanbo Xiang, Zexiang Xu, Milos Hasan, Yannick Hold-Geoffroy, Kalyan Sunkavalli, Hao Su

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

DeepMetaHandles: Learning Deformation Meta-Handles of 3D Meshes With Biharmonic Coordinates.

Minghua Liu, Minhyuk Sung, Radomír Mech, Hao Su

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

O2O-Afford: Annotation-Free Large-Scale Object-Object Affordance Learning.

Kaichun Mo, Yuzhe Qin, Fanbo Xiang, Hao Su, Leonidas J. Guibas

Proceedings of the Conference on Robot Learning, 8-11 November 2021, London, UK., 2021

2020

Lipschitz Regularized CycleGAN for Improving Semantic Robustness in Unpaired Image-to-image Translation.

Zhiwei Jia, Bodi Yuan, Kangkang Wang, Hong Wu, David Clifford, Zhiqiang Yuan, Hao Su

CoRR, 2020

Compositionally Generalizable 3D Structure Prediction.

Songfang Han, Jiayuan Gu, Kaichun Mo, Li Yi, Siyu Hu, Xuejin Chen, Hao Su

CoRR, 2020

Rearrangement: A Challenge for Embodied AI.

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

CoRR, 2020

Towards Scale-Invariant Graph-related Problem Solving by Iterative Homogeneous Graph Neural Networks.

Hao Tang, Zhiao Huang, Jiayuan Gu, Bao-Liang Lu, Hao Su

CoRR, 2020

Photon-Driven Neural Path Guiding.

Shilin Zhu, Zexiang Xu, Tiancheng Sun, Alexandr Kuznetsov, Mark Meyer, Henrik Wann Jensen, Hao Su, Ravi Ramamoorthi

CoRR, 2020

Rethinking Sampling in 3D Point Cloud Generative Adversarial Networks.

He Wang, Zetian Jiang, Li Yi, Kaichun Mo, Hao Su, Leonidas J. Guibas

CoRR, 2020

Deep Photon Mapping.

Shilin Zhu, Zexiang Xu, Henrik Wann Jensen, Hao Su, Ravi Ramamoorthi

CoRR, 2020

Regret Bounds for Discounted MDPs.

Shuang Liu, Hao Su

CoRR, 2020

Deep Kernel Density Estimation for Photon Mapping.

Shilin Zhu, Zexiang Xu, Henrik Wann Jensen, Hao Su, Ravi Ramamoorthi

Comput. Graph. Forum, 2020

Towards Scale-Invariant Graph-related Problem Solving by Iterative Homogeneous GNNs.

Hao Tang, Zhiao Huang, Jiayuan Gu, Bao-Liang Lu, Hao Su

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Refactoring Policy for Compositional Generalizability using Self-Supervised Object Proposals.

Tongzhou Mu, Jiayuan Gu, Zhiwei Jia, Hao Tang, Hao Su

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Multi-task Batch Reinforcement Learning with Metric Learning.

Jiachen Li, Quan Vuong, Shuang Liu, Minghua Liu, Kamil Ciosek, Henrik I. Christensen, Hao Su

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Deep Keypoint-Based Camera Pose Estimation with Geometric Constraints.

You-Yi Jau, Rui Zhu, Hao Su, Manmohan Chandraker

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020

Information-Theoretic Local Minima Characterization and Regularization.

Zhiwei Jia, Hao Su

Proceedings of the 37th International Conference on Machine Learning, 2020

Learning to Group: A Bottom-Up Framework for 3D Part Discovery in Unseen Categories.

Tiange Luo, Kaichun Mo, Zhiao Huang, Jiarui Xu, Siyu Hu, Liwei Wang, Hao Su

Proceedings of the 8th International Conference on Learning Representations, 2020

State Alignment-based Imitation Learning.

Fangchen Liu, Zhan Ling, Tongzhou Mu, Hao Su

Proceedings of the 8th International Conference on Learning Representations, 2020

Meshing Point Clouds with Predicted Intrinsic-Extrinsic Ratio Guidance.

Minghua Liu, Xiaoshuai Zhang, Hao Su

Proceedings of the Computer Vision - ECCV 2020, 2020

Adversarial Shape Perturbations on 3D Point Clouds.

Daniel Liu, Ronald Yu, Hao Su

Proceedings of the Computer Vision - ECCV 2020 Workshops, 2020

Weakly-Supervised 3D Shape Completion in the Wild.

Jiayuan Gu, Wei-Chiu Ma, Sivabalan Manivasagam, Wenyuan Zeng, Zihao Wang, Yuwen Xiong, Hao Su, Raquel Urtasun

Proceedings of the Computer Vision - ECCV 2020, 2020

SAPIEN: A SimulAted Part-Based Interactive ENvironment.

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

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

StructEdit: Learning Structural Shape Variations.

Kaichun Mo, Paul Guerrero, Li Yi, Hao Su, Peter Wonka, Niloy J. Mitra, Leonidas J. Guibas

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Normal Assisted Stereo Depth Estimation.

Uday Kusupati, Shuo Cheng, Rui Chen, Hao Su

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Deep Stereo Using Adaptive Thin Volume Representation With Uncertainty Awareness.

Shuo Cheng, Zexiang Xu, Shilin Zhu, Zhuwen Li, Li Erran Li, Ravi Ramamoorthi, Hao Su

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019

Deep view synthesis from sparse photometric images.

Zexiang Xu, Sai Bi, Kalyan Sunkavalli, Sunil Hadap, Hao Su, Ravi Ramamoorthi

ACM Trans. Graph., 2019

StructureNet: hierarchical graph networks for 3D shape generation.

Kaichun Mo, Paul Guerrero, Li Yi, Hao Su, Peter Wonka, Niloy J. Mitra, Leonidas J. Guibas

ACM Trans. Graph., 2019

Model Imitation for Model-Based Reinforcement Learning.

Yueh-Hua Wu, Ting-Han Fan, Peter J. Ramadge, Hao Su

CoRR, 2019

Pre-training as Batch Meta Reinforcement Learning with tiMe.

Quan Vuong, Shuang Liu, Minghua Liu, Kamil Ciosek, Hao Su, Henrik Iskov Christensen

CoRR, 2019

Adversarial point perturbations on 3D objects.

Daniel Liu, Ronald Yu, Hao Su

CoRR, 2019

How to pick the domain randomization parameters for sim-to-real transfer of reinforcement learning policies?

Quan Vuong, Sharad Vikram, Hao Su, Sicun Gao, Henrik I. Christensen

CoRR, 2019

DeepSpline: Data-Driven Reconstruction of Parametric Curves and Surfaces.

Jun Gao, Chengcheng Tang, Vignesh Ganapathi-Subramanian, Jiahui Huang, Hao Su, Leonidas J. Guibas

CoRR, 2019

Mapping State Space using Landmarks for Universal Goal Reaching.

Zhiao Huang, Fangchen Liu, Hao Su

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Extending Adversarial Attacks and Defenses to Deep 3D Point Cloud Classifiers.

Daniel Liu, Ronald Yu, Hao Su

Proceedings of the 2019 IEEE International Conference on Image Processing, 2019

Multi-View PointNet for 3D Scene Understanding.

Maximilian Jaritz, Jiayuan Gu, Hao Su

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision Workshops, 2019

Point-Based Multi-View Stereo Network.

Rui Chen, Songfang Han, Jing Xu, Hao Su

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Towards Fast and Energy-Efficient Binarized Neural Network Inference on FPGA.

Cheng Fu, Shilin Zhu, Hao Su, Ching-En Lee, Jishen Zhao

Proceedings of the 2019 ACM/SIGDA International Symposium on Field-Programmable Gate Arrays, 2019

SimBNN: A Similarity-Aware Binarized Neural Network Acceleration Framework.

Cheng Fu, Shilin Zhu, Huili Chen, Farinaz Koushanfar, Hao Su, Jishen Zhao

Proceedings of the 27th IEEE Annual International Symposium on Field-Programmable Custom Computing Machines, 2019

Binary Ensemble Neural Network: More Bits per Network or More Networks per Bit?

Shilin Zhu, Xin Dong, Hao Su

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Adversarial Defense by Stratified Convolutional Sparse Coding.

Bo Sun, Nian-Hsuan Tsai, Fangchen Liu, Ronald Yu, Hao Su

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

PartNet: A Large-Scale Benchmark for Fine-Grained and Hierarchical Part-Level 3D Object Understanding.

Kaichun Mo, Shilin Zhu, Angel X. Chang, Li Yi, Subarna Tripathi, Leonidas J. Guibas, Hao Su

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

S4G: Amodal Single-view Single-Shot SE(3) Grasp Detection in Cluttered Scenes.

Yuzhe Qin, Rui Chen, Hao Zhu, Meng Song, Jing Xu, Hao Su

Proceedings of the 3rd Annual Conference on Robot Learning, 2019

2018

Deep 3D representation learning.

Hao Su

PhD thesis, 2018

Deep part induction from articulated object pairs.

Li Yi, Haibin Huang, Difan Liu, Evangelos Kalogerakis, Hao Su, Leonidas J. Guibas

ACM Trans. Graph., 2018

DeepPrimitive: Image decomposition by layered primitive detection.

Jiahui Huang, Jun Gao, Vignesh Ganapathi-Subramanian, Hao Su, Yin Liu, Chengcheng Tang, Leonidas J. Guibas

Comput. Vis. Media, 2018

Robust Watertight Manifold Surface Generation Method for ShapeNet Models.

Jingwei Huang, Hao Su, Leonidas J. Guibas

CoRR, 2018

Deep Functional Dictionaries: Learning Consistent Semantic Structures on 3D Models from Functions.

Minhyuk Sung, Hao Su, Ronald Yu, Leonidas J. Guibas

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Frustum PointNets for 3D Object Detection From RGB-D Data.

Charles R. Qi, Wei Liu, Chenxia Wu, Hao Su, Leonidas J. Guibas

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

Beyond Holistic Object Recognition: Enriching Image Understanding With Part States.

Cewu Lu, Hao Su, Yonglu Li, Yongyi Lu, Li Yi, Chi-Keung Tang, Leonidas J. Guibas

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

Geometry Guided Convolutional Neural Networks for Self-Supervised Video Representation Learning.

Chuang Gan, Boqing Gong, Kun Liu, Hao Su, Leonidas J. Guibas

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

2017

Learning hierarchical shape segmentation and labeling from online repositories.

Li Yi, Leonidas J. Guibas, Aaron Hertzmann, Vladimir G. Kim, Hao Su, Ersin Yumer

ACM Trans. Graph., 2017

Complementme: weakly-supervised component suggestions for 3D modeling.

Minhyuk Sung, Hao Su, Vladimir G. Kim, Siddhartha Chaudhuri, Leonidas J. Guibas

ACM Trans. Graph., 2017

Large-Scale 3D Shape Reconstruction and Segmentation from ShapeNet Core55.

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

CoRR, 2017

PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space.

Charles Ruizhongtai Qi, Li Yi, Hao Su, Leonidas J. Guibas

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

SyncSpecCNN: Synchronized Spectral CNN for 3D Shape Segmentation.

Li Yi, Hao Su, Xingwen Guo, Leonidas J. Guibas

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

Learning Shape Abstractions by Assembling Volumetric Primitives.

Shubham Tulsiani, Hao Su, Leonidas J. Guibas, Alexei A. Efros, Jitendra Malik

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation.

Charles Ruizhongtai Qi, Hao Su, Kaichun Mo, Leonidas J. Guibas

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

A Point Set Generation Network for 3D Object Reconstruction from a Single Image.

Haoqiang Fan, Hao Su, Leonidas J. Guibas

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

Large-Scale 3D Shape Retrieval from ShapeNet Core55.

Manolis Savva, Fisher Yu, Hao Su, Asako Kanezaki, Takahiko Furuya, Ryutarou Ohbuchi, Zhichao Zhou, Rui Yu, Song Bai, Xiang Bai, Masaki Aono, Atsushi Tatsuma, Spyridon Thermos, Apostolos Axenopoulos, Georgios Th. Papadopoulos, Petros Daras, Xiao Deng, Zhouhui Lian, Bo Li, Henry Johan, Yijuan Lu, Sanjeev Mk

Proceedings of the 10th Eurographics Workshop on 3D Object Retrieval, 2017

Cross-Modal Attribute Transfer for Rescaling 3D Models.

Lin Shao, Angel X. Chang, Hao Su, Manolis Savva, Leonidas J. Guibas

Proceedings of the 2017 International Conference on 3D Vision, 2017

2016

A scalable active framework for region annotation in 3D shape collections.

Li Yi, Vladimir G. Kim, Duygu Ceylan, I-Chao Shen, Mengyan Yan, Hao Su, Cewu Lu, Qixing Huang, Alla Sheffer, Leonidas J. Guibas

ACM Trans. Graph., 2016

Unsupervised texture transfer from images to model collections.

Tuanfeng Y. Wang, Hao Su, Qixing Huang, Jingwei Huang, Leonidas J. Guibas, Niloy J. Mitra

ACM Trans. Graph., 2016

3D attention-driven depth acquisition for object identification.

Kai Xu, Yifei Shi, Lintao Zheng, Junyu Zhang, Min Liu, Hui Huang, Hao Su, Daniel Cohen-Or, Baoquan Chen

ACM Trans. Graph., 2016

Beyond Holistic Object Recognition: Enriching Image Understanding with Part States.

Cewu Lu, Hao Su, Yongyi Lu, Li Yi, Chi-Keung Tang, Leonidas J. Guibas

CoRR, 2016

Synthesizing Training Images for Boosting Human 3D Pose Estimation.

Wenzheng Chen, Huan Wang, Yangyan Li, Hao Su, Changhe Tu, Dani Lischinski, Daniel Cohen-Or, Baoquan Chen

CoRR, 2016

FPNN: Field Probing Neural Networks for 3D Data.

Yangyan Li, Sören Pirk, Hao Su, Charles Ruizhongtai Qi, Leonidas J. Guibas

Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

ObjectNet3D: A Large Scale Database for 3D Object Recognition.

Yu Xiang, Wonhui Kim, Wei Chen, Jingwei Ji, Christopher B. Choy, Hao Su, Roozbeh Mottaghi, Leonidas J. Guibas, Silvio Savarese

Proceedings of the Computer Vision - ECCV 2016, 2016

Volumetric and Multi-view CNNs for Object Classification on 3D Data.

Charles Ruizhongtai Qi, Hao Su, Matthias Nießner, Angela Dai, Mengyuan Yan, Leonidas J. Guibas

Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

Large-Scale 3D Shape Retrieval from ShapeNet Core55.

Manolis Savva, Fisher Yu, Hao Su, Masaki Aono, Baoquan Chen, Daniel Cohen-Or, Weihong Deng, Hang Su, Song Bai, Xiang Bai, Noa Fish, Jiajie Han, Evangelos Kalogerakis, Erik G. Learned-Miller, Yangyan Li, Minghui Liao, Subhransu Maji, Atsushi Tatsuma, Yida Wang, Nanhai Zhang, Zhichao Zhou

Proceedings of the 9th Eurographics Workshop on 3D Object Retrieval, 2016

Synthesizing Training Images for Boosting Human 3D Pose Estimation.

Wenzheng Chen, Huan Wang, Yangyan Li, Hao Su, Zhenhua Wang, Changhe Tu, Dani Lischinski, Daniel Cohen-Or, Baoquan Chen

Proceedings of the Fourth International Conference on 3D Vision, 2016

2015

Joint embeddings of shapes and images via CNN image purification.

Yangyan Li, Hao Su, Charles Ruizhongtai Qi, Noa Fish, Daniel Cohen-Or, Leonidas J. Guibas

ACM Trans. Graph., 2015

ImageNet Large Scale Visual Recognition Challenge.

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

Int. J. Comput. Vis., 2015

ShapeNet: An Information-Rich 3D Model Repository.

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

CoRR, 2015

Probabilistic modeling of scenes using object frames.

Hao Su, Adams Wei Yu

Sci. China Inf. Sci., 2015

3D-Assisted Feature Synthesis for Novel Views of an Object.

Hao Su, Fan Wang, Eric Yi, Leonidas J. Guibas

Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015

Render for CNN: Viewpoint Estimation in Images Using CNNs Trained with Rendered 3D Model Views.

Hao Su, Charles Ruizhongtai Qi, Yangyan Li, Leonidas J. Guibas

Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015

2014

Estimating image depth using shape collections.

Hao Su, Qixing Huang, Niloy J. Mitra, Yangyan Li, Leonidas J. Guibas

ACM Trans. Graph., 2014

Reverse Top-k Search using Random Walk with Restart.

Adams Wei Yu, Nikos Mamoulis, Hao Su

Proc. VLDB Endow., 2014

Object Bank: An Object-Level Image Representation for High-Level Visual Recognition.

Li-Jia Li, Hao Su, Yongwhan Lim, Li Fei-Fei

Int. J. Comput. Vis., 2014

3D-Assisted Image Feature Synthesis for Novel Views of an Object.

Hao Su, Fan Wang, Li Yi, Leonidas J. Guibas

CoRR, 2014

2013

Fine-grained semi-supervised labeling of large shape collections.

Qi-Xing Huang, Hao Su, Leonidas J. Guibas

ACM Trans. Graph., 2013

Pathlet learning for compressing and planning trajectories.

Chen Chen, Hao Su, Qi-Xing Huang, Lin Zhang, Leonidas J. Guibas

Proceedings of the 21st SIGSPATIAL International Conference on Advances in Geographic Information Systems, 2013

2012

Efficient Euclidean Projections onto the Intersection of Norm Balls.

Adams Wei Yu, Hao Su, Li Fei-Fei

Proceedings of the 29th International Conference on Machine Learning, 2012

Crowdsourcing Annotations for Visual Object Detection.

Hao Su, Jia Deng, Li Fei-Fei

Proceedings of the 4th Human Computation Workshop, 2012

Multi-Level Structured Image Coding on High-Dimensional Image Representation.

Li-Jia Li, Jun Zhu, Hao Su, Eric P. Xing, Li Fei-Fei

Proceedings of the Computer Vision, 2012

2010

Object Bank: A High-Level Image Representation for Scene Classification & Semantic Feature Sparsification.

Li-Jia Li, Hao Su, Eric P. Xing, Li Fei-Fei

Proceedings of the Advances in Neural Information Processing Systems 23: 24th Annual Conference on Neural Information Processing Systems 2010. Proceedings of a meeting held 6-9 December 2010, 2010

Objects as Attributes for Scene Classification.

Li-Jia Li, Hao Su, Yongwhan Lim, Li Fei-Fei

Proceedings of the Trends and Topics in Computer Vision, 2010

2009

Learning a dense multi-view representation for detection, viewpoint classification and synthesis of object categories.

Hao Su, Min Sun, Li Fei-Fei, Silvio Savarese

Proceedings of the IEEE 12th International Conference on Computer Vision, ICCV 2009, Kyoto, Japan, September 27, 2009

A multi-view probabilistic model for 3D object classes.

Min Sun, Hao Su, Silvio Savarese, Li Fei-Fei

Proceedings of the 2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2009), 2009