Su, Hao

123 publications

CVPR 2025 De^2Gaze: Deformable and Decoupled Representation Learning for 3D Gaze Estimation Yunfeng Xiao, Xiaowei Bai, Baojun Chen, Hao Su, Hao He, Liang Xie, Erwei Yin

CoRL 2025 Diffusion Dynamics Models with Generative State Estimation for Cloth Manipulation Tongxuan Tian, Haoyang Li, Bo Ai, Xiaodi Yuan, Zhiao Huang, Hao Su

ICLRW 2025 Do Vision-Language Models Have Internal World Models? Towards an Atomic Evaluation Qiyue Gao, Xinyu Pi, Kevin Liu, Junrong Chen, Ruolan Yang, Xinqi Huang, Xinyu Fang, Lu Sun, Gautham Kishore, Bo Ai, Stone Tao, Mengyang Liu, Jiaxi Yang, Chao-Jung Lai, Chuanyang Jin, Jiannan Xiang, Benhao Huang, David Danks, Hao Su, Tianmin Shu, Ziqiao Ma, Lianhui Qin, Zhiting Hu

ICLR 2025 Dynamic Gaussians Mesh: Consistent Mesh Reconstruction from Dynamic Scenes Isabella Liu, Hao Su, Xiaolong Wang

ICLR 2025 Hierarchical World Models as Visual Whole-Body Humanoid Controllers Nicklas Hansen, S V Jyothir, Vlad Sobal, Yann LeCun, Xiaolong Wang, Hao Su

CoRL 2025 LodeStar: Long-Horizon Dexterity via Synthetic Data Augmentation from Human Demonstrations Weikang Wan, Jiawei Fu, Xiaodi Yuan, Yifeng Zhu, Hao Su

ICLR 2025 ManiSkill-HAB: A Benchmark for Low-Level Manipulation in Home Rearrangement Tasks Arth Shukla, Stone Tao, Hao Su

ICLRW 2025 ManiSkill3: GPU Parallelized Robot Simulation and Rendering for Generalizable Embodied AI Stone Tao, Fanbo Xiang, Arth Shukla, Yuzhe Qin, Xander Hinrichsen, Xiaodi Yuan, Chen Bao, Xinsong Lin, Yulin Liu, Tse-Kai Chan, Yuan Gao, Xuanlin Li, Tongzhou Mu, Nan Xiao, Arnav Gurha, Viswesh N, Yong Woo Choi, Yen-Ru Chen, Zhiao Huang, Roberto Calandra, Rui Chen, Shan Luo, Hao Su

ICML 2025 Multi-Stage Manipulation with Demonstration-Augmented Reward, Policy, and World Model Learning Adrià López Escoriza, Nicklas Hansen, Stone Tao, Tongzhou Mu, Hao Su

NeurIPS 2025 MyoChallenge 2024: A New Benchmark for Physiological Dexterity and Agility in Bionic Humans Cheryl Wang, Chun Kwang Tan, Balint K Hodossy, Shirui Lyu, Pierre Schumacher, James Heald, Kai Biegun, Samo Hromadka, Maneesh Sahani, Gunwoo Park, Beomsoo Shin, JongHyun Park, Seungbum Koo, Chenhui Zuo, Chengtian Ma, Yanan Sui, Nicklas Hansen, Stone Tao, Yuan Gao, Hao Su, Seungmoon Song, Letizia Gionfrida, Massimo Sartori, Guillaume Durandau, Vikash Kumar, Vittorio Caggiano

WACV 2025 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

ICCV 2025 PartField: Learning 3D Feature Fields for Part Segmentation and Beyond Minghua Liu, Mikaela Angelina Uy, Donglai Xiang, Hao Su, Sanja Fidler, Nicholas Sharp, Jun Gao

ICLR 2025 Point-SAM: Promptable 3D Segmentation Model for Point Clouds Yuchen Zhou, Jiayuan Gu, Tung Yen Chiang, Fanbo Xiang, Hao Su

ICLR 2025 Policy Decorator: Model-Agnostic Online Refinement for Large Policy Model Xiu Yuan, Tongzhou Mu, Stone Tao, Yunhao Fang, Mengke Zhang, Hao Su

TMLR 2025 Responsive Noise-Relaying Diffusion Policy: Responsive and Efficient Visuomotor Control Zhuoqun Chen, Xiu Yuan, Tongzhou Mu, Hao Su

ICML 2025 Reward-Free World Models for Online Imitation Learning Shangzhe Li, Zhiao Huang, Hao Su

ICLRW 2025 Reward-Free World Models for Online Imitation Learning Shangzhe Li, Zhiao Huang, Hao Su

NeurIPS 2025 Staggered Environment Resets Improve Massively Parallel On-Policy Reinforcement Learning Sid Bharthulwar, Stone Tao, Hao Su

CoRL 2025 Towards Embodiment Scaling Laws in Robot Locomotion Bo Ai, Liu Dai, Nico Bohlinger, Dichen Li, Tongzhou Mu, Zhanxin Wu, K. Fay, Henrik I Christensen, Jan Peters, Hao Su

AAAI 2025 When Should We Prefer State-to-Visual DAgger over Visual Reinforcement Learning? Tongzhou Mu, Zhaoyang Li, Stanislaw Wiktor Strzelecki, Xiu Yuan, Yunchao Yao, Litian Liang, Hao Su

IJCAI 2024 A Consistency and Integration Model with Adaptive Thresholds for Weakly Supervised Object Localization Hao Su, Meng Yang

ICLRW 2024 AdaDemo: Data-Efficient Demonstration Expansion for Generalist Robotic Agent Tongzhou Mu, Yijie Guo, Jie Xu, Ankit Goyal, Hao Su, Dieter Fox, Animesh Garg

IJCAI 2024 BeyondVision: An EMG-Driven Micro Hand Gesture Recognition Based on Dynamic Segmentation Nana Wang, Jianwei Niu, Xuefeng Liu, Dongqin Yu, Guogang Zhu, Xinghao Wu, Mingliang Xu, Hao Su

ICML 2024 Chain-of-Thought Predictive Control Zhiwei Jia, Vineet Thumuluri, Fangchen Liu, Linghao Chen, Zhiao Huang, Hao Su

ECCV 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 L Gnanapragasam, Varun Jampani, Hao Su, Leonidas Guibas

CVPR 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

ICLR 2024 DrS: Learning Reusable Dense Rewards for Multi-Stage Tasks Tongzhou Mu, Minghua Liu, Hao Su

IJCAI 2024 Estimating Before Debiasing: A Bayesian Approach to Detaching Prior Bias in Federated Semi-Supervised Learning Guogang Zhu, Xuefeng Liu, Xinghao Wu, Shaojie Tang, Chao Tang, Jianwei Niu, Hao Su

CoRL 2024 Evaluating Real-World Robot Manipulation Policies in Simulation Xuanlin Li, Kyle Hsu, Jiayuan Gu, Oier Mees, Karl Pertsch, Homer Rich Walke, Chuyuan Fu, Ishikaa Lunawat, Isabel Sieh, Sean Kirmani, Sergey Levine, Jiajun Wu, Chelsea Finn, Hao Su, Quan Vuong, Ted Xiao

CVPR 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

NeurIPS 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

ICLR 2024 MovingParts: Motion-Based 3D Part Discovery in Dynamic Radiance Field Kaizhi Yang, Xiaoshuai Zhang, Zhiao Huang, Xuejin Chen, Zexiang Xu, Hao Su

CVPR 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

ICLR 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

ICLR 2024 Reverse Forward Curriculum Learning for Extreme Sample and Demo Efficiency Stone Tao, Arth Shukla, Tse-kai Chan, Hao Su

ECCV 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

ICLR 2024 TD-MPC2: Scalable, Robust World Models for Continuous Control Nicklas Hansen, Hao Su, Xiaolong Wang

CVPR 2024 ZeroRF: Fast Sparse View 360deg Reconstruction with Zero Pretraining Ruoxi Shi, Xinyue Wei, Cheng Wang, Hao Su

ICML 2023 Abstract-to-Executable Trajectory Translation for One-Shot Task Generalization Stone Tao, Xiaochen Li, Tongzhou Mu, Zhiao Huang, Yuzhe Qin, Hao Su

ICLRW 2023 Chain-of-Thought Predictive Control Zhiwei Jia, Fangchen Liu, Vineet Thumuluri, Linghao Chen, Zhiao Huang, Hao Su

NeurIPS 2023 Deductive Verification of Chain-of-Thought Reasoning Zhan Ling, Yunhao Fang, Xuanlin Li, Zhiao Huang, Mingu Lee, Roland Memisevic, Hao Su

ICLR 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

NeurIPS 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

ICCV 2023 Distilling Large Vision-Language Model with Out-of-Distribution Generalizability Xuanlin Li, Yunhao Fang, Minghua Liu, Zhan Ling, Zhuowen Tu, Hao Su

ICLR 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

ICLR 2023 MoDem: Accelerating Visual Model-Based Reinforcement Learning with Demonstrations Nicklas Hansen, Yixin Lin, Hao Su, Xiaolong Wang, Vikash Kumar, Aravind Rajeswaran

ICLR 2023 Multi-Skill Mobile Manipulation for Object Rearrangement Jiayuan Gu, Devendra Singh Chaplot, Hao Su, Jitendra Malik

CVPR 2023 Nerflets: Local Radiance Fields for Efficient Structure-Aware 3D Scene Representation from 2D Supervision Xiaoshuai Zhang, Abhijit Kundu, Thomas Funkhouser, Leonidas Guibas, Hao Su, Kyle Genova

ICML 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

ICLR 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

NeurIPS 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

NeurIPS 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

NeurIPS 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

CVPR 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

ICML 2023 Reparameterized Policy Learning for Multimodal Trajectory Optimization Zhiao Huang, Litian Liang, Zhan Ling, Xuanlin Li, Chuang Gan, Hao Su

ICCV 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

ICCV 2023 Strivec: Sparse Tri-Vector Radiance Fields Quankai Gao, Qiangeng Xu, Hao Su, Ulrich Neumann, Zexiang Xu

NeurIPSW 2023 TD-MPC2: Scalable, Robust World Models for Continuous Control Nicklas Hansen, Hao Su, Xiaolong Wang

CVPR 2023 TensoIR: Tensorial Inverse Rendering Haian Jin, Isabella Liu, Peijia Xu, Xiaoshuai Zhang, Songfang Han, Sai Bi, Xiaowei Zhou, Zexiang Xu, Hao Su

NeurIPSW 2022 Abstract-to-Executable Trajectory Translation for One-Shot Task Generalization Stone Tao, Xiaochen Li, Tongzhou Mu, Zhiao Huang, Yuzhe Qin, Hao Su

CVPR 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

ICLR 2022 Contact Points Discovery for Soft-Body Manipulations with Differentiable Physics Sizhe Li, Zhiao Huang, Tao Du, Hao Su, Joshua B. Tenenbaum, Chuang Gan

CoRL 2022 DexPoint: Generalizable Point Cloud Reinforcement Learning for Sim-to-Real Dexterous Manipulation Yuzhe Qin, Binghao Huang, Zhao-Heng Yin, Hao Su, Xiaolong Wang

CoRL 2022 Frame Mining: A Free Lunch for Learning Robotic Manipulation from 3D Point Clouds Minghua Liu, Xuanlin Li, Zhan Ling, Yangyan Li, Hao Su

NeurIPSW 2022 Generalizable Point Cloud Reinforcement Learning for Sim-to-Real Dexterous Manipulation Yuzhe Qin, Binghao Huang, Zhao-Heng Yin, Hao Su, Xiaolong Wang

NeurIPSW 2022 Generalizable Point Cloud Reinforcement Learning for Sim-to-Real Dexterous Manipulation Yuzhe Qin, Binghao Huang, Zhao-Heng Yin, Hao Su, Xiaolong Wang

ICML 2022 Improving Policy Optimization with Generalist-Specialist Learning Zhiwei Jia, Xuanlin Li, Zhan Ling, Shuang Liu, Yiran Wu, Hao Su

ECCV 2022 LESS: Label-Efficient Semantic Segmentation for LiDAR Point Clouds Minghua Liu, Yin Zhou, Charles R. Qi, Boqing Gong, Hao Su, Dragomir Anguelov

NeurIPSW 2022 MoDem: Accelerating Visual Model-Based Reinforcement Learning with Demonstrations Nicklas Hansen, Yixin Lin, Hao Su, Xiaolong Wang, Vikash Kumar, Aravind Rajeswaran

NeurIPSW 2022 Multi-Skill Mobile Manipulation for Object Rearrangement Jiayuan Gu, Devendra Singh Chaplot, Hao Su, Jitendra Malik

CVPR 2022 NeRFusion: Fusing Radiance Fields for Large-Scale Scene Reconstruction Xiaoshuai Zhang, Sai Bi, Kalyan Sunkavalli, Hao Su, Zexiang Xu

NeurIPSW 2022 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

NeurIPSW 2022 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

ICML 2022 Temporal Difference Learning for Model Predictive Control Nicklas A Hansen, Hao Su, Xiaolong Wang

ECCV 2022 TensoRF: Tensorial Radiance Fields Anpei Chen, Zexiang Xu, Andreas Geiger, Jingyi Yu, Hao Su

NeurIPSW 2022 Variational Reparametrized Policy Learning with Differentiable Physics Zhiao Huang, Litian Liang, Zhan Ling, Xuanlin Li, Chuang Gan, Hao Su

AISTATS 2021 Associative Convolutional Layers Hamed Omidvar, Vahideh Akhlaghi, Hao Su, Massimo Franceschetti, Rajesh Gupta

CVPR 2021 ArtCoder: An End-to-End Method for Generating Scanning-Robust Stylized QR Codes Hao Su, Jianwei Niu, Xuefeng Liu, Qingfeng Li, Ji Wan, Mingliang Xu, Tao Ren

ICLR 2021 BiPointNet: Binary Neural Network for Point Clouds Haotong Qin, Zhongang Cai, Mingyuan Zhang, Yifu Ding, Haiyu Zhao, Shuai Yi, Xianglong Liu, Hao Su

ICCV 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

CVPR 2021 DeepMetaHandles: Learning Deformation Meta-Handles of 3D Meshes with Biharmonic Coordinates Minghua Liu, Minhyuk Sung, Radomir Mech, Hao Su

NeurIPSW 2021 From One Hand to Multiple Hands: Imitation Learning for Dexterous Manipulation from Single-Camera Teleoperation Yuzhe Qin, Hao Su, Xiaolong Wang

ICCV 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

ICCV 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

AAAI 2021 MangaGAN: Unpaired Photo-to-Manga Translation Based on the Methodology of Manga Drawing Hao Su, Jianwei Niu, Xuefeng Liu, Qingfeng Li, Jiahe Cui, Ji Wan

CVPR 2021 NeuTex: Neural Texture Mapping for Volumetric Neural Rendering Fanbo Xiang, Zexiang Xu, Milos Hasan, Yannick Hold-Geoffroy, Kalyan Sunkavalli, Hao Su

CoRL 2021 O2O-Afford: Annotation-Free Large-Scale Object-Object Affordance Learning Kaichun Mo, Yuzhe Qin, Fanbo Xiang, Hao Su, Leonidas Guibas

NeurIPS 2021 Particle Cloud Generation with Message Passing Generative Adversarial Networks Raghav Kansal, Javier Duarte, Hao Su, Breno Orzari, Thiago Tomei, Maurizio Pierini, Mary Touranakou, Jean-Roch Vlimant, Dimitrios Gunopulos

ICLR 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

ICCV 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

NeurIPS 2021 Stabilizing Deep Q-Learning with ConvNets and Vision Transformers Under Data Augmentation Nicklas Hansen, Hao Su, Xiaolong Wang

ICMLW 2021 Stabilizing Deep Q-Learning with ConvNets and Vision Transformers Under Data Augmentation Nicklas Hansen, Hao Su, Xiaolong Wang

ECCVW 2020 Adversarial Shape Perturbations on 3D Point Clouds Daniel Liu, Ronald Yu, Hao Su

ICML 2020 Information-Theoretic Local Minima Characterization and Regularization Zhiwei Jia, Hao Su

ICLR 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

ECCV 2020 Meshing Point Clouds with Predicted Intrinsic-Extrinsic Ratio Guidance Minghua Liu, Xiaoshuai Zhang, Hao Su

NeurIPS 2020 Multi-Task Batch Reinforcement Learning with Metric Learning Jiachen Li, Quan Vuong, Shuang Liu, Minghua Liu, Kamil Ciosek, Henrik Christensen, Hao Su

NeurIPS 2020 Refactoring Policy for Compositional Generalizability Using Self-Supervised Object Proposals Tongzhou Mu, Jiayuan Gu, Zhiwei Jia, Hao Tang, Hao Su

ICLR 2020 State Alignment-Based Imitation Learning Fangchen Liu, Zhan Ling, Tongzhou Mu, Hao Su

NeurIPS 2020 Towards Scale-Invariant Graph-Related Problem Solving by Iterative Homogeneous GNNs Hao Tang, Zhiao Huang, Jiayuan Gu, Bao-Liang Lu, Hao Su

ECCV 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

NeurIPS 2019 Mapping State Space Using Landmarks for Universal Goal Reaching Zhiao Huang, Fangchen Liu, Hao Su

ICCVW 2019 Multi-View PointNet for 3D Scene Understanding Maximilian Jaritz, Jiayuan Gu, Hao Su

CoRL 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

NeurIPS 2018 Deep Functional Dictionaries: Learning Consistent Semantic Structures on 3D Models from Functions Minhyuk Sung, Hao Su, Ronald Yu, Leonidas Guibas

CVPR 2017 A Point Set Generation Network for 3D Object Reconstruction from a Single Image Haoqiang Fan, Hao Su, Leonidas J. Guibas

CVPR 2017 Learning Non-Lambertian Object Intrinsics Across ShapeNet Categories Jian Shi, Yue Dong, Hao Su, Stella X. Yu

CVPR 2017 Learning Shape Abstractions by Assembling Volumetric Primitives Shubham Tulsiani, Hao Su, Leonidas J. Guibas, Alexei A. Efros, Jitendra Malik

NeurIPS 2017 PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space Charles Ruizhongtai Qi, Li Yi, Hao Su, Leonidas Guibas

CVPR 2017 PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation Charles R. Qi, Hao Su, Kaichun Mo, Leonidas J. Guibas

CVPR 2017 SyncSpecCNN: Synchronized Spectral CNN for 3D Shape Segmentation Li Yi, Hao Su, Xingwen Guo, Leonidas J. Guibas

NeurIPS 2016 FPNN: Field Probing Neural Networks for 3D Data Yangyan Li, Soeren Pirk, Hao Su, Charles R Qi, Leonidas Guibas

CVPR 2016 Multilinear Hyperplane Hashing Xianglong Liu, Xinjie Fan, Cheng Deng, Zhujin Li, Hao Su, Dacheng Tao

ECCV 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

CVPR 2016 Volumetric and Multi-View CNNs for Object Classification on 3D Data Charles R. Qi, Hao Su, Matthias Niessner, Angela Dai, Mengyuan Yan, Leonidas J. Guibas

ICCV 2015 3D-Assisted Feature Synthesis for Novel Views of an Object Hao Su, Fan Wang, Eric Yi, Leonidas J. Guibas

ICCV 2015 Render for CNN: Viewpoint Estimation in Images Using CNNs Trained with Rendered 3D Model Views Hao Su, Charles R. Qi, Yangyan Li, Leonidas J. Guibas

ICML 2012 Efficient Euclidean Projections onto the Intersection of Norm Balls Adams Wei Yu, Hao Su, Li Fei-Fei

NeurIPS 2010 Object Bank: A High-Level Image Representation for Scene Classification & Semantic Feature Sparsification Li-jia Li, Hao Su, Li Fei-fei, Eric P. Xing

ECCV 2010 Objects as Attributes for Scene Classification Li-Jia Li, Hao Su, Yongwhan Lim, Li Fei-Fei

ECCVW 2010 Objects as Attributes for Scene Classification Li-Jia Li, Hao Su, Yongwhan Lim, Li Fei-Fei

CVPR 2009 A Multi-View Probabilistic Model for 3D Object Classes Min Sun, Hao Su, Silvio Savarese, Li Fei-Fei

ICCV 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