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ORCIDXiaolong Wang 0004
Person information
- affiliation: UC San Diego, CA, USA
- affiliation (former): UC Berkeley, CA, USA
- affiliation (former): Carnegie Mellon University, Robotics Institute, Pittsburgh, PA, USA
- affiliation (former): Sun Yat-Sen University, Guangzhou, China
Other persons with the same name
- Xiaolong Wang (aka: Xiao-Long Wang, XiaoLong Wang) — disambiguation page
- Xiaolong Wang 0001
![[0000-0001-9003-4252]](https://dblp.org/img/orcid-mark.12x12.png "0000-0001-9003-4252")
— Harbin Institute of Technology, School of Computer Science and Technology, Shenzhen, China (and 1 more) - Xiaolong Wang 0002 — Chinese Academy of Sciences, Institute of Electronics, Beijing, China
- Xiaolong Wang 0003 — Purdue University, Indianapolis, In, USA
- Xiaolong Wang 0005 — Northwestern Polytechnical University, Department of Applied Mathematics, Xi'an, China
- Xiaolong Wang 0006 — Samsung Research Amercia, Mountain View, CA, USA (and 1 more)
- Xiaolong Wang 0007 — Lehigh University, Department of Mechanical Engineering and Mechanics, Bethlehem, PA, USA
- Xiaolong Wang 0008 — NOAA, Center for Satellite Applications and Research, College Park, MD, USA
- Xiaolong Wang 0009 — University of Illinois, Urbana-Champaign, IL, USA
- Xiaolong Wang 0010 — Jilin University, State Key Laboratory of Integrated Optoelectronics, Changchun, China (and 4 more)
- Xiaolong Wang 0011 (aka: Xiao-Long Wang 0011) — North China Electric Power University, Department of Mechanical Engineering, Baoding, China
- Xiaolong Wang 0012 — Wuhan University, School of Geodesy and Geomatics, China
- Xiaolong Wang 0013 — Zhejiang University, Hangzhou, China
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2020 – today
- 2025
[i143]Jiteng Mu, Nuno Vasconcelos, Xiaolong Wang:
EditAR: Unified Conditional Generation with Autoregressive Models. CoRR abs/2501.04699 (2025)- [i142]Hongjun Wang, Wonmin Byeon, Jiarui Xu, Jinwei Gu, Ka Chun Cheung, Xiaolong Wang, Kai Han, Jan Kautz, Sifei Liu:
Parallel Sequence Modeling via Generalized Spatial Propagation Network. CoRR abs/2501.12381 (2025) - [i141]Yinbo Chen, Rohit Girdhar, Xiaolong Wang, Sai Saketh Rambhatla, Ishan Misra:
Diffusion Autoencoders are Scalable Image Tokenizers. CoRR abs/2501.18593 (2025) - 2024
- [c115]Zehao Zhu, Jiashun Wang, Yuzhe Qin, Deqing Sun, Varun Jampani, Xiaolong Wang:
ContactArt: Learning 3D Interaction Priors for Category-level Articulated Object and Hand Poses Estimation. 3DV 2024: 201-212 - [c114]Yinbo Chen, Oliver Wang, Richard Zhang, Eli Shechtman, Xiaolong Wang, Michaël Gharbi:
Image Neural Field Diffusion Models. CVPR 2024: 8007-8017 - [c113]Mengqi Zhang, Yang Fu, Zheng Ding, Sifei Liu, Zhuowen Tu, Xiaolong Wang:
HOIDiffusion: Generating Realistic 3D Hand-Object Interaction Data. CVPR 2024: 8521-8531 - [c112]Jiarui Xu, Xingyi Zhou, Shen Yan, Xiuye Gu, Anurag Arnab, Chen Sun, Xiaolong Wang, Cordelia Schmid:
Pixel Aligned Language Models. CVPR 2024: 13030-13039 - [c111]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 - [c110]Yang Fu, Xiaolong Wang, Sifei Liu, Amey Kulkarni, Jan Kautz, Alexei A. Efros:
COLMAP-Free 3D Gaussian Splatting. CVPR 2024: 20796-20805 - [c109]Hongchi Xia, Yang Fu, Sifei Liu, Xiaolong Wang:
RGBD Objects in the Wild: Scaling Real-World 3D Object Learning from RGB-D Videos. CVPR 2024: 22378-22389 - [c108]Jiteng Mu, Michaël Gharbi, Richard Zhang, Eli Shechtman, Nuno Vasconcelos, Xiaolong Wang, Taesung Park:
Editable Image Elements for Controllable Synthesis. ECCV (2) 2024: 39-56 - [c107]Ri-Zhao Qiu, Ge Yang, Weijia Zeng, Xiaolong Wang:
Language-Driven Physics-Based Scene Synthesis and Editing via Feature Splatting. ECCV (41) 2024: 368-383 - [c106]Nicklas Hansen, Hao Su, Xiaolong Wang:
TD-MPC2: Scalable, Robust World Models for Continuous Control. ICLR 2024 - [c105]An-Chieh Cheng, Xueting Li, Sifei Liu, Xiaolong Wang:
TUVF: Learning Generalizable Texture UV Radiance Fields. ICLR 2024 - [c104]Yang Fu, Shalini De Mello, Xueting Li, Amey Kulkarni, Jan Kautz, Xiaolong Wang, Sifei Liu:
3D Reconstruction with Generalizable Neural Fields using Scene Priors. ICLR 2024 - [c103]Lirui Wang, Yiyang Ling, Zhecheng Yuan, Mohit Shridhar, Chen Bao, Yuzhe Qin, Bailin Wang, Huazhe Xu, Xiaolong Wang:
GenSim: Generating Robotic Simulation Tasks via Large Language Models. ICLR 2024 - [c102]Ying Yuan, Haichuan Che, Yuzhe Qin, Binghao Huang, Zhao-Heng Yin, Kang-Won Lee, Yi Wu, Soo-Chul Lim, Xiaolong Wang:
Robot Synesthesia: In-Hand Manipulation with Visuotactile Sensing. ICRA 2024: 6558-6565 - [c101]Entong Su, Chengzhe Jia, Yuzhe Qin, Wenxuan Zhou, Annabella Macaluso, Binghao Huang, Xiaolong Wang:
Sim2Real Manipulation on Unknown Objects with Tactile-based Reinforcement Learning. ICRA 2024: 9234-9241 - [c100]An-Chieh Cheng, Hongxu Yin, Yang Fu, Qiushan Guo, Ruihan Yang, Jan Kautz, Xiaolong Wang, Sifei Liu:
SpatialRGPT: Grounded Spatial Reasoning in Vision-Language Models. NeurIPS 2024 - [c99]Adrian Remonda, Nicklas Hansen, Ayoub Raji, Nicola Musiu, Marko Bertogna, Eduardo E. Veas, Xiaolong Wang:
A Simulation Benchmark for Autonomous Racing with Large-Scale Human Data. NeurIPS 2024 - [c98]Xuxin Cheng, Yandong Ji, Junming Chen, Ruihan Yang, Ge Yang, Xiaolong Wang:
Expressive Whole-Body Control for Humanoid Robots. Robotics: Science and Systems 2024 - [c97]Kaiwen Jiang, Yang Fu, Mukund Varma T., Yash Belhe, Xiaolong Wang, Hao Su, Ravi Ramamoorthi:
A Construct-Optimize Approach to Sparse View Synthesis without Camera Pose. SIGGRAPH (Conference Paper Track) 2024: 124 - [i140]Kang-Won Lee, Yuzhe Qin, Xiaolong Wang, Soo-Chul Lim:
DexTouch: Learning to Seek and Manipulate Objects with Tactile Dexterity. CoRR abs/2401.12496 (2024) - [i139]Hongchi Xia, Yang Fu, Sifei Liu, Xiaolong Wang:
RGBD Objects in the Wild: Scaling Real-World 3D Object Learning from RGB-D Videos. CoRR abs/2401.12592 (2024) - [i138]Jun Wang, Yuzhe Qin, Kaiming Kuang, Yigit Korkmaz, Akhilan Gurumoorthy, Hao Su, Xiaolong Wang:
CyberDemo: Augmenting Simulated Human Demonstration for Real-World Dexterous Manipulation. CoRR abs/2402.14795 (2024) - [i137]Xuxin Cheng, Yandong Ji, Junming Chen, Ruihan Yang, Ge Yang, Xiaolong Wang:
Expressive Whole-Body Control for Humanoid Robots. CoRR abs/2402.16796 (2024) - [i136]Ge Yan, Yueh-Hua Wu, Xiaolong Wang:
DNAct: Diffusion Guided Multi-Task 3D Policy Learning. CoRR abs/2403.04115 (2024) - [i135]Ri-Zhao Qiu, Yafei Hu, Ge Yang, Yuchen Song, Yang Fu, Jianglong Ye, Jiteng Mu, Ruihan Yang, Nikolay Atanasov, Sebastian A. Scherer, Xiaolong Wang:
Learning Generalizable Feature Fields for Mobile Manipulation. CoRR abs/2403.07563 (2024) - [i134]Mengqi Zhang, Yang Fu, Zheng Ding, Sifei Liu, Zhuowen Tu, Xiaolong Wang:
HOIDiffusion: Generating Realistic 3D Hand-Object Interaction Data. CoRR abs/2403.12011 (2024) - [i133]Entong Su, Chengzhe Jia, Yuzhe Qin, Wenxuan Zhou, Annabella Macaluso, Binghao Huang, Xiaolong Wang:
Sim2Real Manipulation on Unknown Objects with Tactile-based Reinforcement Learning. CoRR abs/2403.12170 (2024) - [i132]Minghuan Liu, Zixuan Chen, Xuxin Cheng, Yandong Ji, Ruihan Yang, Xiaolong Wang:
Visual Whole-Body Control for Legged Loco-Manipulation. CoRR abs/2403.16967 (2024) - [i131]Ri-Zhao Qiu, Ge Yang, Weijia Zeng, Xiaolong Wang:
Feature Splatting: Language-Driven Physics-Based Scene Synthesis and Editing. CoRR abs/2404.01223 (2024) - [i130]Isabella Liu, Hao Su, Xiaolong Wang:
Dynamic Gaussians Mesh: Consistent Mesh Reconstruction from Monocular Videos. CoRR abs/2404.12379 (2024) - [i129]Jiteng Mu, Michaël Gharbi, Richard Zhang, Eli Shechtman, Nuno Vasconcelos, Xiaolong Wang, Taesung Park:
Editable Image Elements for Controllable Synthesis. CoRR abs/2404.16029 (2024) - [i128]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) - [i127]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) - [i126]An-Chieh Cheng, Hongxu Yin, Yang Fu, Qiushan Guo, Ruihan Yang, Jan Kautz, Xiaolong Wang, Sifei Liu:
SpatialRGPT: Grounded Spatial Reasoning in Vision Language Model. CoRR abs/2406.01584 (2024) - [i125]Tianyu Wang, Dwait Bhatt, Xiaolong Wang, Nikolay Atanasov:
Cross-Embodiment Robot Manipulation Skill Transfer using Latent Space Alignment. CoRR abs/2406.01968 (2024) - [i124]Yinbo Chen, Oliver Wang, Richard Zhang, Eli Shechtman, Xiaolong Wang, Michaël Gharbi:
Image Neural Field Diffusion Models. CoRR abs/2406.07480 (2024) - [i123]Xuxin Cheng, Jialong Li, Shiqi Yang, Ge Yang, Xiaolong Wang:
Open-TeleVision: Teleoperation with Immersive Active Visual Feedback. CoRR abs/2407.01512 (2024) - [i122]Runyu Ding, Yuzhe Qin, Jiyue Zhu, Chengzhe Jia, Shiqi Yang, Ruihan Yang, Xiaojuan Qi, Xiaolong Wang:
Bunny-VisionPro: Real-Time Bimanual Dexterous Teleoperation for Imitation Learning. CoRR abs/2407.03162 (2024) - [i121]Adrian Remonda, Nicklas Hansen, Ayoub Raji, Nicola Musiu, Marko Bertogna, Eduardo E. Veas, Xiaolong Wang:
A Simulation Benchmark for Autonomous Racing with Large-Scale Human Data. CoRR abs/2407.16680 (2024) - [i120]Jun Wang, Ying Yuan, Haichuan Che, Haozhi Qi, Yi Ma, Jitendra Malik, Xiaolong Wang:
Lessons from Learning to Spin "Pens". CoRR abs/2407.18902 (2024) - [i119]Shiqi Yang, Minghuan Liu, Yuzhe Qin, Runyu Ding, Jialong Li, Xuxin Cheng, Ruihan Yang, Sha Yi, Xiaolong Wang:
ACE: A Cross-Platform Visual-Exoskeletons System for Low-Cost Dexterous Teleoperation. CoRR abs/2408.11805 (2024) - [i118]Tairan He, Wenli Xiao, Toru Lin, Zhengyi Luo, Zhenjia Xu, Zhenyu Jiang, Jan Kautz, Changliu Liu, Guanya Shi, Xiaolong Wang, Linxi Fan, Yuke Zhu:
HOVER: Versatile Neural Whole-Body Controller for Humanoid Robots. CoRR abs/2410.21229 (2024) - [i117]An-Chieh Cheng, Yandong Ji, Zhaojing Yang, Xueyan Zou, Jan Kautz, Erdem Biyik, Hongxu Yin, Sifei Liu, Xiaolong Wang:
NaVILA: Legged Robot Vision-Language-Action Model for Navigation. CoRR abs/2412.04453 (2024) - [i116]Zhijian Liu, Ligeng Zhu, Baifeng Shi, Zhuoyang Zhang, Yuming Lou, Shang Yang, Haocheng Xi, Shiyi Cao, Yuxian Gu, Dacheng Li, Xiuyu Li, Yunhao Fang, Yukang Chen, Cheng-Yu Hsieh, De-An Huang, An-Chieh Cheng, Vishwesh Nath, Jinyi Hu, Sifei Liu, Ranjay Krishna, Daguang Xu, Xiaolong Wang, Pavlo Molchanov, Jan Kautz, Hongxu Yin, Song Han, Yao Lu:
NVILA: Efficient Frontier Visual Language Models. CoRR abs/2412.04468 (2024) - [i115]Chen Bao, Jiarui Xu, Xiaolong Wang, Abhinav Gupta, Homanga Bharadhwaj:
HandsOnVLM: Vision-Language Models for Hand-Object Interaction Prediction. CoRR abs/2412.13187 (2024) - 2023
- [j6]Jianglong Ye, Jiashun Wang, Binghao Huang, Yuzhe Qin, Xiaolong Wang:
Learning Continuous Grasping Function With a Dexterous Hand From Human Demonstrations. IEEE Robotics Autom. Lett. 8(5): 2882-2889 (2023) - [j5]Yanjie Ze, Nicklas Hansen, Yinbo Chen, Mohit Jain, Xiaolong Wang:
Visual Reinforcement Learning With Self-Supervised 3D Representations. IEEE Robotics Autom. Lett. 8(5): 2890-2897 (2023) - [c96]Yanjie Ze, Ge Yan, Yueh-Hua Wu, Annabella Macaluso, Yuying Ge, Jianglong Ye, Nicklas Hansen, Li Erran Li, Xiaolong Wang:
GNFactor: Multi-Task Real Robot Learning with Generalizable Neural Feature Fields. CoRL 2023: 284-301 - [c95]Yunhai Feng, Nicklas Hansen, Ziyan Xiong, Chandramouli Rajagopalan, Xiaolong Wang:
Finetuning Offline World Models in the Real World. CoRL 2023: 425-445 - [c94]Binghao Huang, Yuanpei Chen, Tianyu Wang, Yuzhe Qin, Yaodong Yang, Nikolay Atanasov, Xiaolong Wang:
Dynamic Handover: Throw and Catch with Bimanual Hands. CoRL 2023: 1887-1902 - [c93]Ruihan Yang, Ge Yang, Xiaolong Wang:
Neural Volumetric Memory for Visual Locomotion Control. CVPR 2023: 1430-1440 - [c92]Jiarui Xu, Sifei Liu, Arash Vahdat, Wonmin Byeon, Xiaolong Wang, Shalini De Mello:
Open-Vocabulary Panoptic Segmentation with Text-to-Image Diffusion Models. CVPR 2023: 2955-2966 - [c91]Jiashun Wang, Xueting Li, Sifei Liu, Shalini De Mello, Orazio Gallo, Xiaolong Wang, Jan Kautz:
Zero-shot Pose Transfer for Unrigged Stylized 3D Characters. CVPR 2023: 8704-8714 - [c90]Yuying Ge, Annabella Macaluso, Li Erran Li, Ping Luo, Xiaolong Wang:
Policy Adaptation from Foundation Model Feedback. CVPR 2023: 19059-19069 - [c89]Chen Bao, Helin Xu, Yuzhe Qin, Xiaolong Wang:
DexArt: Benchmarking Generalizable Dexterous Manipulation with Articulated Objects. CVPR 2023: 21190-21200 - [c88]Jianglong Ye, Naiyan Wang, Xiaolong Wang:
FeatureNeRF: Learning Generalizable NeRFs by Distilling Foundation Models. ICCV 2023: 8928-8939 - [c87]Jiteng Mu, Shen Sang, Nuno Vasconcelos, Xiaolong Wang:
ActorsNeRF: Animatable Few-shot Human Rendering with Generalizable NeRFs. ICCV 2023: 18345-18355 - [c86]Nicklas Hansen, Yixin Lin, Hao Su, Xiaolong Wang, Vikash Kumar, Aravind Rajeswaran:
MoDem: Accelerating Visual Model-Based Reinforcement Learning with Demonstrations. ICLR 2023 - [c85]Chenhongyi Yang, Jiarui Xu, Shalini De Mello, Elliot J. Crowley, Xiaolong Wang:
GPViT: A High Resolution Non-Hierarchical Vision Transformer with Group Propagation. ICLR 2023 - [c84]Kaifeng Zhang, Yang Fu, Shubhankar Borse, Hong Cai, Fatih Porikli, Xiaolong Wang:
Self-Supervised Geometric Correspondence for Category-Level 6D Object Pose Estimation in the Wild. ICLR 2023 - [c83]Yang Fu, Ishan Misra, Xiaolong Wang:
MonoNeRF: Learning Generalizable NeRFs from Monocular Videos without Camera Poses. ICML 2023: 10392-10404 - [c82]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 - [c81]Xuanchen Lu, Xiaolong Wang, Judith E. Fan:
Learning Dense Correspondences between Photos and Sketches. ICML 2023: 22899-22916 - [c80]Yunfei Li, Chaoyi Pan, Huazhe Xu, Xiaolong Wang, Yi Wu:
Efficient Bimanual Handover and Rearrangement via Symmetry-Aware Actor-Critic Learning. ICRA 2023: 3867-3874 - [c79]Yueh-Hua Wu, Xiaolong Wang, Masashi Hamaya:
Elastic Decision Transformer. NeurIPS 2023 - [c78]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 - [c77]Zhao-Heng Yin, Binghao Huang, Yuzhe Qin, Qifeng Chen, Xiaolong Wang:
Rotating without Seeing: Towards In-hand Dexterity through Touch. Robotics: Science and Systems 2023 - [i114]Jiarui Xu, Sifei Liu, Arash Vahdat, Wonmin Byeon, Xiaolong Wang, Shalini De Mello:
Open-Vocabulary Panoptic Segmentation with Text-to-Image Diffusion Models. CoRR abs/2303.04803 (2023) - [i113]Zhao-Heng Yin, Binghao Huang, Yuzhe Qin, Qifeng Chen, Xiaolong Wang:
Rotating without Seeing: Towards In-hand Dexterity through Touch. CoRR abs/2303.10880 (2023) - [i112]Jianglong Ye, Naiyan Wang, Xiaolong Wang:
FeatureNeRF: Learning Generalizable NeRFs by Distilling Foundation Models. CoRR abs/2303.12786 (2023) - [i111]Ruihan Yang, Ge Yang, Xiaolong Wang:
Neural Volumetric Memory for Visual Locomotion Control. CoRR abs/2304.01201 (2023) - [i110]Jiteng Mu, Shen Sang, Nuno Vasconcelos, Xiaolong Wang:
ActorsNeRF: Animatable Few-shot Human Rendering with Generalizable NeRFs. CoRR abs/2304.14401 (2023) - [i109]Zehao Zhu, Jiashun Wang, Yuzhe Qin, Deqing Sun, Varun Jampani, Xiaolong Wang:
ContactArt: Learning 3D Interaction Priors for Category-level Articulated Object and Hand Poses Estimation. CoRR abs/2305.01618 (2023) - [i108]An-Chieh Cheng, Xueting Li, Sifei Liu, Xiaolong Wang:
TUVF: Learning Generalizable Texture UV Radiance Fields. CoRR abs/2305.03040 (2023) - [i107]Chen Bao, Helin Xu, Yuzhe Qin, Xiaolong Wang:
DexArt: Benchmarking Generalizable Dexterous Manipulation with Articulated Objects. CoRR abs/2305.05706 (2023) - [i106]Jiashun Wang, Xueting Li, Sifei Liu, Shalini De Mello, Orazio Gallo, Xiaolong Wang, Jan Kautz:
Zero-shot Pose Transfer for Unrigged Stylized 3D Characters. CoRR abs/2306.00200 (2023) - [i105]Yueh-Hua Wu, Xiaolong Wang, Masashi Hamaya:
Elastic Decision Transformer. CoRR abs/2307.02484 (2023) - [i104]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) - [i103]Renhao Wang, Yu Sun, Yossi Gandelsman, Xinlei Chen, Alexei A. Efros, Xiaolong Wang:
Test-Time Training on Video Streams. CoRR abs/2307.05014 (2023) - [i102]Xuanchen Lu, Xiaolong Wang, Judith E. Fan:
Learning Dense Correspondences between Photos and Sketches. CoRR abs/2307.12967 (2023) - [i101]Yanjie Ze, Ge Yan, Yueh-Hua Wu, Annabella Macaluso, Yuying Ge, Jianglong Ye, Nicklas Hansen, Li Erran Li, Xiaolong Wang:
GNFactor: Multi-Task Real Robot Learning with Generalizable Neural Feature Fields. CoRR abs/2308.16891 (2023) - [i100]Binghao Huang, Yuanpei Chen, Tianyu Wang, Yuzhe Qin, Yaodong Yang, Nikolay Atanasov, Xiaolong Wang:
Dynamic Handover: Throw and Catch with Bimanual Hands. CoRR abs/2309.05655 (2023) - [i99]Yang Fu, Shalini De Mello, Xueting Li, Amey Kulkarni, Jan Kautz, Xiaolong Wang, Sifei Liu:
3D Reconstruction with Generalizable Neural Fields using Scene Priors. CoRR abs/2309.15164 (2023) - [i98]Lirui Wang, Yiyang Ling, Zhecheng Yuan, Mohit Shridhar, Chen Bao, Yuzhe Qin, Bailin Wang, Huazhe Xu, Xiaolong Wang:
GenSim: Generating Robotic Simulation Tasks via Large Language Models. CoRR abs/2310.01361 (2023) - [i97]Ruihan Yang, Zhuoqun Chen, Jianhan Ma, Chongyi Zheng, Yiyu Chen, Quan Nguyen, Xiaolong Wang:
Generalized Animal Imitator: Agile Locomotion with Versatile Motion Prior. CoRR abs/2310.01408 (2023) - [i96]Yunhai Feng, Nicklas Hansen, Ziyan Xiong, Chandramouli Rajagopalan, Xiaolong Wang:
Finetuning Offline World Models in the Real World. CoRR abs/2310.16029 (2023) - [i95]Nicklas Hansen, Hao Su, Xiaolong Wang:
TD-MPC2: Scalable, Robust World Models for Continuous Control. CoRR abs/2310.16828 (2023) - [i94]Jiarui Xu, Yossi Gandelsman, Amir Bar, Jianwei Yang, Jianfeng Gao, Trevor Darrell, Xiaolong Wang:
IMProv: Inpainting-based Multimodal Prompting for Computer Vision Tasks. CoRR abs/2312.01771 (2023) - [i93]Ying Yuan, Haichuan Che, Yuzhe Qin, Binghao Huang, Zhao-Heng Yin, Kang-Won Lee, Yi Wu, Soo-Chul Lim, Xiaolong Wang:
Robot Synesthesia: In-Hand Manipulation with Visuotactile Sensing. CoRR abs/2312.01853 (2023) - [i92]Yang Fu, Sifei Liu, Amey Kulkarni, Jan Kautz, Alexei A. Efros, Xiaolong Wang:
COLMAP-Free 3D Gaussian Splatting. CoRR abs/2312.07504 (2023) - [i91]Yafei Hu, Quanting Xie, Vidhi Jain, Jonathan Francis, Jay Patrikar, Nikhil Varma Keetha, Seungchan Kim, Yaqi Xie, Tianyi Zhang, Shibo Zhao, Yu Quan Chong, Chen Wang, Katia P. Sycara, Matthew Johnson-Roberson, Dhruv Batra, Xiaolong Wang, Sebastian A. Scherer, Zsolt Kira, Fei Xia, Yonatan Bisk:
Toward General-Purpose Robots via Foundation Models: A Survey and Meta-Analysis. CoRR abs/2312.08782 (2023) - [i90]Jiarui Xu, Xingyi Zhou, Shen Yan, Xiuye Gu, Anurag Arnab, Chen Sun, Xiaolong Wang, Cordelia Schmid:
Pixel Aligned Language Models. CoRR abs/2312.09237 (2023) - 2022
- [j4]Rishabh Jangir, Nicklas Hansen, Sambaran Ghosal, Mohit Jain, Xiaolong Wang:
Look Closer: Bridging Egocentric and Third-Person Views With Transformers for Robotic Manipulation. IEEE Robotics Autom. Lett. 7(2): 3046-3053 (2022) - [j3]Jianglong Ye, Yuntao Chen, Naiyan Wang, Xiaolong Wang:
Online Adaptation for Implicit Object Tracking and Shape Reconstruction in the Wild. IEEE Robotics Autom. Lett. 7(4): 8909-8916 (2022) - [j2]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) - [c76]Sateesh Kumar, Jonathan Zamora, Nicklas Hansen, Rishabh Jangir, Xiaolong Wang:
Graph Inverse Reinforcement Learning from Diverse Videos. CoRL 2022: 55-66 - [c75]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 - [c74]Yueh-Hua Wu, Jiashun Wang, Xiaolong Wang:
Learning Generalizable Dexterous Manipulation from Human Grasp Affordance. CoRL 2022: 618-629 - [c73]Zeyuan Chen, Yinbo Chen, Jingwen Liu, Xingqian Xu, Vidit Goel, Zhangyang Wang, Humphrey Shi, Xiaolong Wang:
VideoINR: Learning Video Implicit Neural Representation for Continuous Space-Time Super-Resolution. CVPR 2022: 2037-2047 - [c72]Shaowei Liu, Subarna Tripathi, Somdeb Majumdar, Xiaolong Wang:
Joint Hand Motion and Interaction Hotspots Prediction from Egocentric Videos. CVPR 2022: 3272-3282 - [c71]Xuanchi Ren, Xiaolong Wang:
Look Outside the Room: Synthesizing A Consistent Long-Term 3D Scene Video from A Single Image. CVPR 2022: 3553-3563 - [c70]Jiteng Mu, Shalini De Mello, Zhiding Yu, Nuno Vasconcelos, Xiaolong Wang, Jan Kautz, Sifei Liu:
CoordGAN: Self-Supervised Dense Correspondences Emerge from GANs. CVPR 2022: 10001-10010 - [c69]Jianglong Ye, Yuntao Chen, Naiyan Wang, Xiaolong Wang:
GIFS: Neural Implicit Function for General Shape Representation. CVPR 2022: 12819-12829 - [c68]Jiarui Xu, Shalini De Mello, Sifei Liu, Wonmin Byeon, Thomas M. Breuel, Jan Kautz, Xiaolong Wang:
GroupViT: Semantic Segmentation Emerges from Text Supervision. CVPR 2022: 18113-18123 - [c67]Yinbo Chen, Xiaolong Wang:
Transformers as Meta-learners for Implicit Neural Representations. ECCV (17) 2022: 170-187 - [c66]Xueting Li, Xiaolong Wang, Ming-Hsuan Yang, Alexei A. Efros, Sifei Liu:
Scraping Textures from Natural Images for Synthesis and Editing. ECCV (15) 2022: 391-408 - [c65]Hanzhe Hu, Yinbo Chen, Jiarui Xu, Shubhankar Borse, Hong Cai, Fatih Porikli, Xiaolong Wang:
Learning Implicit Feature Alignment Function for Semantic Segmentation. ECCV (29) 2022: 487-505 - [c64]Yuzhe Qin, Yueh-Hua Wu, Shaowei Liu, Hanwen Jiang, Ruihan Yang, Yang Fu, Xiaolong Wang:
DexMV: Imitation Learning for Dexterous Manipulation from Human Videos. ECCV (39) 2022: 570-587 - [c63]Xueting Li, Shalini De Mello, Xiaolong Wang, Ming-Hsuan Yang, Jan Kautz, Sifei Liu:
Learning Continuous Environment Fields via Implicit Functions. ICLR 2022 - [c62]Ruihan Yang, Minghao Zhang, Nicklas Hansen, Huazhe Xu, Xiaolong Wang:
Learning Vision-Guided Quadrupedal Locomotion End-to-End with Cross-Modal Transformers. ICLR 2022 - [c61]Nicklas Hansen, Hao Su, Xiaolong Wang:
Temporal Difference Learning for Model Predictive Control. ICML 2022: 8387-8406 - [c60]Chieko Sarah Imai, Minghao Zhang, Yuchen Zhang, Marcin Kierebinski, Ruihan Yang, Yuzhe Qin, Xiaolong Wang:
Vision-Guided Quadrupedal Locomotion in the Wild with Multi-Modal Delay Randomization. IROS 2022: 5556-5563 - [c59]Yanjie Ze, Xiaolong Wang:
Category-Level 6D Object Pose Estimation in the Wild: A Semi-Supervised Learning Approach and A New Dataset. NeurIPS 2022 - [i89]Rishabh Jangir, Nicklas Hansen, Sambaran Ghosal, Mohit Jain, Xiaolong Wang:
Look Closer: Bridging Egocentric and Third-Person Views with Transformers for Robotic Manipulation. CoRR abs/2201.07779 (2022) - [i88]Jiarui Xu, Shalini De Mello, Sifei Liu, Wonmin Byeon, Thomas M. Breuel, Jan Kautz, Xiaolong Wang:
GroupViT: Semantic Segmentation Emerges from Text Supervision. CoRR abs/2202.11094 (2022) - [i87]Nicklas Hansen, Xiaolong Wang, Hao Su:
Temporal Difference Learning for Model Predictive Control. CoRR abs/2203.04955 (2022) - [i86]Xuanchi Ren, Xiaolong Wang:
Look Outside the Room: Synthesizing A Consistent Long-Term 3D Scene Video from A Single Image. CoRR abs/2203.09457 (2022) - [i85]Jiteng Mu, Shalini De Mello, Zhiding Yu, Nuno Vasconcelos, Xiaolong Wang, Jan Kautz, Sifei Liu:
CoordGAN: Self-Supervised Dense Correspondences Emerge from GANs. CoRR abs/2203.16521 (2022) - [i84]Shaowei Liu, Subarna Tripathi, Somdeb Majumdar, Xiaolong Wang:
Joint Hand Motion and Interaction Hotspots Prediction from Egocentric Videos. CoRR abs/2204.01696 (2022) - [i83]Yueh-Hua Wu, Jiashun Wang, Xiaolong Wang:
Learning Generalizable Dexterous Manipulation from Human Grasp Affordance. CoRR abs/2204.02320 (2022) - [i82]Jianglong Ye, Yuntao Chen, Naiyan Wang, Xiaolong Wang:
GIFS: Neural Implicit Function for General Shape Representation. CoRR abs/2204.07126 (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]Zeyuan Chen, Yinbo Chen, Jingwen Liu, Xingqian Xu, Vidit Goel, Zhangyang Wang, Humphrey Shi, Xiaolong Wang:
VideoINR: Learning Video Implicit Neural Representation for Continuous Space-Time Super-Resolution. CoRR abs/2206.04647 (2022) - [i79]Hanzhe Hu, Yinbo Chen, Jiarui Xu, Shubhankar Borse, Hong Cai, Fatih Porikli, Xiaolong Wang:
Learning Implicit Feature Alignment Function for Semantic Segmentation. CoRR abs/2206.08655 (2022) - [i78]Yang Fu, Xiaolong Wang:
Category-Level 6D Object Pose Estimation in the Wild: A Semi-Supervised Learning Approach and A New Dataset. CoRR abs/2206.15436 (2022) - [i77]Jianglong Ye, Jiashun Wang, Binghao Huang, Yuzhe Qin, Xiaolong Wang:
Learning Continuous Grasping Function with a Dexterous Hand from Human Demonstrations. CoRR abs/2207.05053 (2022) - [i76]Sateesh Kumar, Jonathan Zamora, Nicklas Hansen, Rishabh Jangir, Xiaolong Wang:
Inverse Reinforcement Learning from Diverse Third-Person Videos via Graph Abstraction. CoRR abs/2207.14299 (2022) - [i75]Yinbo Chen, Xiaolong Wang:
Transformers as Meta-Learners for Implicit Neural Representations. CoRR abs/2208.02801 (2022) - [i74]Yang Fu, Ishan Misra, Xiaolong Wang:
Multiplane NeRF-Supervised Disentanglement of Depth and Camera Pose from Videos. CoRR abs/2210.07181 (2022) - [i73]Kaifeng Zhang, Yang Fu, Shubhankar Borse, Hong Cai, Fatih Porikli, Xiaolong Wang:
Self-Supervised Geometric Correspondence for Category-Level 6D Object Pose Estimation in the Wild. CoRR abs/2210.07199 (2022) - [i72]Yanjie Ze, Nicklas Hansen, Yinbo Chen, Mohit Jain, Xiaolong Wang:
Visual Reinforcement Learning with Self-Supervised 3D Representations. CoRR abs/2210.07241 (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]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) - [i69]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) - [i68]Chenhongyi Yang, Jiarui Xu, Shalini De Mello, Elliot J. Crowley, Xiaolong Wang:
GPViT: A High Resolution Non-Hierarchical Vision Transformer with Group Propagation. CoRR abs/2212.06795 (2022) - [i67]Yuying Ge, Annabella Macaluso, Li Erran Li, Ping Luo, Xiaolong Wang:
Self-Play and Self-Describe: Policy Adaptation with Vision-Language Foundation Models. CoRR abs/2212.07398 (2022) - 2021
- [c58]Yinbo Chen, Sifei Liu, Xiaolong Wang:
Learning Continuous Image Representation With Local Implicit Image Function. CVPR 2021: 8628-8638 - [c57]Jiashun Wang, Huazhe Xu, Jingwei Xu, Sifei Liu, Xiaolong Wang:
Synthesizing Long-Term 3D Human Motion and Interaction in 3D Scenes. CVPR 2021: 9401-9411 - [c56]Shaowei Liu, Hanwen Jiang, Jiarui Xu, Sifei Liu, Xiaolong Wang:
Semi-Supervised 3D Hand-Object Poses Estimation With Interactions in Time. CVPR 2021: 14687-14697 - [c55]Yinbo Chen, Zhuang Liu, Huijuan Xu, Trevor Darrell, Xiaolong Wang:
Meta-Baseline: Exploring Simple Meta-Learning for Few-Shot Learning. ICCV 2021: 9042-9051 - [c54]Xin Wang, Thomas E. Huang, Benlin Liu, Fisher Yu, Xiaolong Wang, Joseph E. Gonzalez, Trevor Darrell:
Robust Object Detection via Instance-Level Temporal Cycle Confusion. ICCV 2021: 9123-9132 - [c53]Zihang Lai, Sifei Liu, Alexei A. Efros, Xiaolong Wang:
Video Autoencoder: self-supervised disentanglement of static 3D structure and motion. ICCV 2021: 9710-9720 - [c52]Jiarui Xu, Xiaolong Wang:
Rethinking Self-supervised Correspondence Learning: A Video Frame-level Similarity Perspective. ICCV 2021: 10055-10065 - [c51]Haiping Wu, Xiaolong Wang:
Contrastive Learning of Image Representations with Cross-Video Cycle-Consistency. ICCV 2021: 10129-10139 - [c50]Elad Levi, Tete Xiao, Xiaolong Wang, Trevor Darrell:
Rethinking preventing class-collapsing in metric learning with margin-based losses. ICCV 2021: 10296-10305 - [c49]Tete Xiao, Colorado J. Reed, Xiaolong Wang, Kurt Keutzer, Trevor Darrell:
Region Similarity Representation Learning. ICCV 2021: 10519-10528 - [c48]Hanwen Jiang, Shaowei Liu, Jiashun Wang, Xiaolong Wang:
Hand-Object Contact Consistency Reasoning for Human Grasps Generation. ICCV 2021: 11087-11096 - [c47]Jiteng Mu, Weichao Qiu, Adam Kortylewski, Alan L. Yuille, Nuno Vasconcelos, Xiaolong Wang:
A-SDF: Learning Disentangled Signed Distance Functions for Articulated Shape Representation. ICCV 2021: 12981-12991 - [c46]Nicklas Hansen, Rishabh Jangir, Yu Sun, Guillem Alenyà, Pieter Abbeel, Alexei A. Efros, Lerrel Pinto, Xiaolong Wang:
Self-Supervised Policy Adaptation during Deployment. ICLR 2021 - [c45]Yunfei Li, Yilin Wu, Huazhe Xu, Xiaolong Wang, Yi Wu:
Solving Compositional Reinforcement Learning Problems via Task Reduction. ICLR 2021 - [c44]Haozhi Qi, Xiaolong Wang, Deepak Pathak, Yi Ma, Jitendra Malik:
Learning Long-term Visual Dynamics with Region Proposal Interaction Networks. ICLR 2021 - [c43]Zhenggang Tang, Chao Yu, Boyuan Chen, Huazhe Xu, Xiaolong Wang, Fei Fang, Simon Shaolei Du, Yu Wang, Yi Wu:
Discovering Diverse Multi-Agent Strategic Behavior via Reward Randomization. ICLR 2021 - [c42]Tete Xiao, Xiaolong Wang, Alexei A. Efros, Trevor Darrell:
What Should Not Be Contrastive in Contrastive Learning. ICLR 2021 - [c41]Qiang Zhang, Tete Xiao, Alexei A. Efros, Lerrel Pinto, Xiaolong Wang:
Learning Cross-Domain Correspondence for Control with Dynamics Cycle-Consistency. ICLR 2021 - [c40]Amir Bar, Roei Herzig, Xiaolong Wang, Anna Rohrbach, Gal Chechik, Trevor Darrell, Amir Globerson:
Compositional Video Synthesis with Action Graphs. ICML 2021: 662-673 - [c39]Nicklas Hansen, Xiaolong Wang:
Generalization in Reinforcement Learning by Soft Data Augmentation. ICRA 2021: 13611-13617 - [c38]Ilija Radosavovic, Xiaolong Wang, Lerrel Pinto, Jitendra Malik:
State-Only Imitation Learning for Dexterous Manipulation. IROS 2021: 7865-7871 - [c37]Yizhuo Li, Miao Hao, Zonglin Di, Nitesh B. Gundavarapu, Xiaolong Wang:
Test-Time Personalization with a Transformer for Human Pose Estimation. NeurIPS 2021: 2583-2597 - [c36]Nicklas Hansen, Hao Su, Xiaolong Wang:
Stabilizing Deep Q-Learning with ConvNets and Vision Transformers under Data Augmentation. NeurIPS 2021: 3680-3693 - [c35]Jiashun Wang, Huazhe Xu, Medhini Narasimhan, Xiaolong Wang:
Multi-Person 3D Motion Prediction with Multi-Range Transformers. NeurIPS 2021: 6036-6049 - [c34]Tianjun Zhang, Huazhe Xu, Xiaolong Wang, Yi Wu, Kurt Keutzer, Joseph E. Gonzalez, Yuandong Tian:
NovelD: A Simple yet Effective Exploration Criterion. NeurIPS 2021: 25217-25230 - [i66]Zhenggang Tang, Chao Yu, Boyuan Chen, Huazhe Xu, Xiaolong Wang, Fei Fang, Simon S. Du, Yu Wang, Yi Wu:
Discovering Diverse Multi-Agent Strategic Behavior via Reward Randomization. CoRR abs/2103.04564 (2021) - [i65]Yunfei Li, Yilin Wu, Huazhe Xu, Xiaolong Wang, Yi Wu:
Solving Compositional Reinforcement Learning Problems via Task Reduction. CoRR abs/2103.07607 (2021) - [i64]Tete Xiao, Colorado J. Reed, Xiaolong Wang, Kurt Keutzer, Trevor Darrell:
Region Similarity Representation Learning. CoRR abs/2103.12902 (2021) - [i63]Jiarui Xu, Xiaolong Wang:
Rethinking Self-supervised Correspondence Learning: A Video Frame-level Similarity Perspective. CoRR abs/2103.17263 (2021) - [i62]Hanwen Jiang, Shaowei Liu, Jiashun Wang, Xiaolong Wang:
Hand-Object Contact Consistency Reasoning for Human Grasps Generation. CoRR abs/2104.03304 (2021) - [i61]Jiteng Mu, Weichao Qiu, Adam Kortylewski, Alan L. Yuille, Nuno Vasconcelos, Xiaolong Wang:
A-SDF: Learning Disentangled Signed Distance Functions for Articulated Shape Representation. CoRR abs/2104.07645 (2021) - [i60]Xin Wang, Thomas E. Huang, Benlin Liu, Fisher Yu, Xiaolong Wang, Joseph E. Gonzalez, Trevor Darrell:
Robust Object Detection via Instance-Level Temporal Cycle Confusion. CoRR abs/2104.08381 (2021) - [i59]Haiping Wu, Xiaolong Wang:
Contrastive Learning of Image Representations with Cross-Video Cycle-Consistency. CoRR abs/2105.06463 (2021) - [i58]Shaowei Liu, Hanwen Jiang, Jiarui Xu, Sifei Liu, Xiaolong Wang:
Semi-Supervised 3D Hand-Object Poses Estimation with Interactions in Time. CoRR abs/2106.05266 (2021) - [i57]Minghao Zhang, Pingcheng Jian, Yi Wu, Huazhe Xu, Xiaolong Wang:
Disentangled Attention as Intrinsic Regularization for Bimanual Multi-Object Manipulation. CoRR abs/2106.05907 (2021) - [i56]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) - [i55]Nicklas Hansen, Hao Su, Xiaolong Wang:
Stabilizing Deep Q-Learning with ConvNets and Vision Transformers under Data Augmentation. CoRR abs/2107.00644 (2021) - [i54]Miao Hao, Yizhuo Li, Zonglin Di, Nitesh B. Gundavarapu, Xiaolong Wang:
Test-Time Personalization with a Transformer for Human Pose Estimation. CoRR abs/2107.02133 (2021) - [i53]Ruihan Yang, Minghao Zhang, Nicklas Hansen, Huazhe Xu, Xiaolong Wang:
Learning Vision-Guided Quadrupedal Locomotion End-to-End with Cross-Modal Transformers. CoRR abs/2107.03996 (2021) - [i52]Yuzhe Qin, Yueh-Hua Wu, Shaowei Liu, Hanwen Jiang, Ruihan Yang, Yang Fu, Xiaolong Wang:
DexMV: Imitation Learning for Dexterous Manipulation from Human Videos. CoRR abs/2108.05877 (2021) - [i51]Chieko Sarah Imai, Minghao Zhang, Yuchen Zhang, Marcin Kierebinski, Ruihan Yang, Yuzhe Qin, Xiaolong Wang:
Vision-Guided Quadrupedal Locomotion in the Wild with Multi-Modal Delay Randomization. CoRR abs/2109.14549 (2021) - [i50]Zihang Lai, Sifei Liu, Alexei A. Efros, Xiaolong Wang:
Video Autoencoder: self-supervised disentanglement of static 3D structure and motion. CoRR abs/2110.02951 (2021) - [i49]Jiashun Wang, Huazhe Xu, Medhini Narasimhan, Xiaolong Wang:
Multi-Person 3D Motion Prediction with Multi-Range Transformers. CoRR abs/2111.12073 (2021) - [i48]Jianglong Ye, Yuntao Chen, Naiyan Wang, Xiaolong Wang:
Online Adaptation for Implicit Object Tracking and Shape Reconstruction in the Wild. CoRR abs/2111.12728 (2021) - [i47]Xueting Li, Shalini De Mello, Xiaolong Wang, Ming-Hsuan Yang, Jan Kautz, Sifei Liu:
Learning Continuous Environment Fields via Implicit Functions. CoRR abs/2111.13997 (2021) - 2020
- [c33]Joanna Materzynska, Tete Xiao, Roei Herzig, Huijuan Xu, Xiaolong Wang, Trevor Darrell:
Something-Else: Compositional Action Recognition With Spatial-Temporal Interaction Networks. CVPR 2020: 1046-1056 - [c32]Jingwei Xu, Huazhe Xu, Bingbing Ni, Xiaokang Yang, Xiaolong Wang, Trevor Darrell:
Hierarchical Style-Based Networks for Motion Synthesis. ECCV (11) 2020: 178-194 - [c31]Qian Long, Zihan Zhou, Abhinav Gupta, Fei Fang, Yi Wu, Xiaolong Wang:
Evolutionary Population Curriculum for Scaling Multi-Agent Reinforcement Learning. ICLR 2020 - [c30]Haozhi Qi, Chong You, Xiaolong Wang, Yi Ma, Jitendra Malik:
Deep Isometric Learning for Visual Recognition. ICML 2020: 7824-7835 - [c29]Yu Sun, Xiaolong Wang, Zhuang Liu, John Miller, Alexei A. Efros, Moritz Hardt:
Test-Time Training with Self-Supervision for Generalization under Distribution Shifts. ICML 2020: 9229-9248 - [c28]Xueting Li, Sifei Liu, Shalini De Mello, Kihwan Kim, Xiaolong Wang, Ming-Hsuan Yang, Jan Kautz:
Online Adaptation for Consistent Mesh Reconstruction in the Wild. NeurIPS 2020 - [c27]Ruihan Yang, Huazhe Xu, Yi Wu, Xiaolong Wang:
Multi-Task Reinforcement Learning with Soft Modularization. NeurIPS 2020 - [i46]Yinbo Chen, Xiaolong Wang, Zhuang Liu, Huijuan Xu, Trevor Darrell:
A New Meta-Baseline for Few-Shot Learning. CoRR abs/2003.04390 (2020) - [i45]Qian Long, Zihan Zhou, Abhinav Gupta, Fei Fang, Yi Wu, Xiaolong Wang:
Evolutionary Population Curriculum for Scaling Multi-Agent Reinforcement Learning. CoRR abs/2003.10423 (2020) - [i44]Ruihan Yang, Huazhe Xu, Yi Wu, Xiaolong Wang:
Multi-Task Reinforcement Learning with Soft Modularization. CoRR abs/2003.13661 (2020) - [i43]Ilija Radosavovic, Xiaolong Wang, Lerrel Pinto, Jitendra Malik:
State-Only Imitation Learning for Dexterous Manipulation. CoRR abs/2004.04650 (2020) - [i42]Elad Levi, Tete Xiao, Xiaolong Wang, Trevor Darrell:
Reducing Class Collapse in Metric Learning with Easy Positive Sampling. CoRR abs/2006.05162 (2020) - [i41]Amir Bar, Roei Herzig, Xiaolong Wang, Gal Chechik, Trevor Darrell, Amir Globerson:
Compositional Video Synthesis with Action Graphs. CoRR abs/2006.15327 (2020) - [i40]Haozhi Qi, Chong You, Xiaolong Wang, Yi Ma, Jitendra Malik:
Deep Isometric Learning for Visual Recognition. CoRR abs/2006.16992 (2020) - [i39]Nicklas Hansen, Yu Sun, Pieter Abbeel, Alexei A. Efros, Lerrel Pinto, Xiaolong Wang:
Self-Supervised Policy Adaptation during Deployment. CoRR abs/2007.04309 (2020) - [i38]Haozhi Qi, Xiaolong Wang, Deepak Pathak, Yi Ma, Jitendra Malik:
Learning Long-term Visual Dynamics with Region Proposal Interaction Networks. CoRR abs/2008.02265 (2020) - [i37]Tete Xiao, Xiaolong Wang, Alexei A. Efros, Trevor Darrell:
What Should Not Be Contrastive in Contrastive Learning. CoRR abs/2008.05659 (2020) - [i36]Jingwei Xu, Huazhe Xu, Bingbing Ni, Xiaokang Yang, Xiaolong Wang, Trevor Darrell:
Hierarchical Style-based Networks for Motion Synthesis. CoRR abs/2008.10162 (2020) - [i35]Tianjun Zhang, Huazhe Xu, Xiaolong Wang, Yi Wu, Kurt Keutzer, Joseph E. Gonzalez, Yuandong Tian:
Multi-Agent Collaboration via Reward Attribution Decomposition. CoRR abs/2010.08531 (2020) - [i34]Nicklas Hansen, Xiaolong Wang:
Generalization in Reinforcement Learning by Soft Data Augmentation. CoRR abs/2011.13389 (2020) - [i33]Xueting Li, Sifei Liu, Shalini De Mello, Kihwan Kim, Xiaolong Wang, Ming-Hsuan Yang, Jan Kautz:
Online Adaptation for Consistent Mesh Reconstruction in the Wild. CoRR abs/2012.03196 (2020) - [i32]Jiashun Wang, Huazhe Xu, Jingwei Xu, Sifei Liu, Xiaolong Wang:
Synthesizing Long-Term 3D Human Motion and Interaction in 3D Scenes. CoRR abs/2012.05522 (2020) - [i31]Tianjun Zhang, Huazhe Xu, Xiaolong Wang, Yi Wu, Kurt Keutzer, Joseph E. Gonzalez, Yuandong Tian:
BeBold: Exploration Beyond the Boundary of Explored Regions. CoRR abs/2012.08621 (2020) - [i30]Yinbo Chen, Sifei Liu, Xiaolong Wang:
Learning Continuous Image Representation with Local Implicit Image Function. CoRR abs/2012.09161 (2020) - [i29]Qiang Zhang, Tete Xiao, Alexei A. Efros, Lerrel Pinto, Xiaolong Wang:
Learning Cross-Domain Correspondence for Control with Dynamics Cycle-Consistency. CoRR abs/2012.09811 (2020)
2010 – 2019
- 2019
- [b1]Xiaolong Wang:
Learning and Reasoning with Visual Correspondence in Time. Carnegie Mellon University, USA, 2019 - [c26]Xiaolong Wang, Allan Jabri, Alexei A. Efros:
Learning Correspondence From the Cycle-Consistency of Time. CVPR 2019: 2566-2576 - [c25]Xueting Li, Sifei Liu, Kihwan Kim, Xiaolong Wang, Ming-Hsuan Yang, Jan Kautz:
Putting Humans in a Scene: Learning Affordance in 3D Indoor Environments. CVPR 2019: 12368-12376 - [c24]Roei Herzig, Elad Levi, Huijuan Xu, Hang Gao, Eli Brosh, Xiaolong Wang, Amir Globerson, Trevor Darrell:
Spatio-Temporal Action Graph Networks. ICCV Workshops 2019: 2347-2356 - [c23]Wei Yang, Xiaolong Wang, Ali Farhadi, Abhinav Gupta, Roozbeh Mottaghi:
Visual Semantic Navigation using Scene Priors. ICLR (Poster) 2019 - [c22]Xueting Li, Sifei Liu, Shalini De Mello, Xiaolong Wang, Jan Kautz, Ming-Hsuan Yang:
Joint-task Self-supervised Learning for Temporal Correspondence. NeurIPS 2019: 317-327 - [i28]Xueting Li, Sifei Liu, Kihwan Kim, Xiaolong Wang, Ming-Hsuan Yang, Jan Kautz:
Putting Humans in a Scene: Learning Affordance in 3D Indoor Environments. CoRR abs/1903.05690 (2019) - [i27]Xiaolong Wang, Allan Jabri, Alexei A. Efros:
Learning Correspondence from the Cycle-Consistency of Time. CoRR abs/1903.07593 (2019) - [i26]Xueting Li, Sifei Liu, Shalini De Mello, Xiaolong Wang, Jan Kautz, Ming-Hsuan Yang:
Joint-task Self-supervised Learning for Temporal Correspondence. CoRR abs/1909.11895 (2019) - [i25]Yu Sun, Xiaolong Wang, Zhuang Liu, John Miller, Alexei A. Efros, Moritz Hardt:
Test-Time Training for Out-of-Distribution Generalization. CoRR abs/1909.13231 (2019) - [i24]Joanna Materzynska, Tete Xiao, Roei Herzig, Huijuan Xu, Xiaolong Wang, Trevor Darrell:
Something-Else: Compositional Action Recognition with Spatial-Temporal Interaction Networks. CoRR abs/1912.09930 (2019) - 2018
- [c21]Wei Yang, Wanli Ouyang, Xiaolong Wang, Jimmy S. J. Ren, Hongsheng Li, Xiaogang Wang:
3D Human Pose Estimation in the Wild by Adversarial Learning. CVPR 2018: 5255-5264 - [c20]Xiaolong Wang, Yufei Ye, Abhinav Gupta:
Zero-Shot Recognition via Semantic Embeddings and Knowledge Graphs. CVPR 2018: 6857-6866 - [c19]Xiaolong Wang, Ross B. Girshick, Abhinav Gupta, Kaiming He:
Non-Local Neural Networks. CVPR 2018: 7794-7803 - [c18]Tian Ye, Xiaolong Wang, James Davidson, Abhinav Gupta:
Interpretable Intuitive Physics Model. ECCV (12) 2018: 89-105 - [c17]Xiaolong Wang, Abhinav Gupta:
Videos as Space-Time Region Graphs. ECCV (5) 2018: 413-431 - [i23]Xiaolong Wang, Yufei Ye, Abhinav Gupta:
Zero-shot Recognition via Semantic Embeddings and Knowledge Graphs. CoRR abs/1803.08035 (2018) - [i22]Wei Yang, Wanli Ouyang, Xiaolong Wang, Jimmy S. J. Ren, Hongsheng Li, Xiaogang Wang:
3D Human Pose Estimation in the Wild by Adversarial Learning. CoRR abs/1803.09722 (2018) - [i21]Xiaolong Wang, Rohit Girdhar, Abhinav Gupta:
Binge Watching: Scaling Affordance Learning from Sitcoms. CoRR abs/1804.03080 (2018) - [i20]Xiaolong Wang, Abhinav Gupta:
Videos as Space-Time Region Graphs. CoRR abs/1806.01810 (2018) - [i19]Tian Ye, Xiaolong Wang, James Davidson, Abhinav Gupta:
Interpretable Intuitive Physics Model. CoRR abs/1808.10002 (2018) - [i18]Wei Yang, Xiaolong Wang, Ali Farhadi, Abhinav Gupta, Roozbeh Mottaghi:
Visual Semantic Navigation using Scene Priors. CoRR abs/1810.06543 (2018) - 2017
- [c16]Xiaolong Wang, Abhinav Shrivastava, Abhinav Gupta:
A-Fast-RCNN: Hard Positive Generation via Adversary for Object Detection. CVPR 2017: 3039-3048 - [c15]Xiaolong Wang, Rohit Girdhar, Abhinav Gupta:
Binge Watching: Scaling Affordance Learning from Sitcoms. CVPR 2017: 3366-3375 - [c14]Xiaolong Wang, Kaiming He, Abhinav Gupta:
Transitive Invariance for Self-Supervised Visual Representation Learning. ICCV 2017: 1338-1347 - [c13]Yuan Yuan, Xiaodan Liang, Xiaolong Wang, Dit-Yan Yeung, Abhinav Gupta:
Temporal Dynamic Graph LSTM for Action-Driven Video Object Detection. ICCV 2017: 1819-1828 - [i17]Xiaolong Wang, Abhinav Shrivastava, Abhinav Gupta:
A-Fast-RCNN: Hard Positive Generation via Adversary for Object Detection. CoRR abs/1704.03414 (2017) - [i16]Yuan Yuan, Xiaodan Liang, Xiaolong Wang, Dit-Yan Yeung, Abhinav Gupta:
Temporal Dynamic Graph LSTM for Action-driven Video Object Detection. CoRR abs/1708.00666 (2017) - [i15]Xiaolong Wang, Kaiming He, Abhinav Gupta:
Transitive Invariance for Self-supervised Visual Representation Learning. CoRR abs/1708.02901 (2017) - [i14]Xiaolong Wang, Ross B. Girshick, Abhinav Gupta, Kaiming He:
Non-local Neural Networks. CoRR abs/1711.07971 (2017) - 2016
- [c12]Xiaolong Wang, Ali Farhadi, Abhinav Gupta:
Actions ~ Transformations. CVPR 2016: 2658-2667 - [c11]Xiaolong Wang, Abhinav Gupta:
Generative Image Modeling Using Style and Structure Adversarial Networks. ECCV (4) 2016: 318-335 - [c10]Gunnar A. Sigurdsson, Gül Varol, Xiaolong Wang, Ali Farhadi, Ivan Laptev, Abhinav Gupta:
Hollywood in Homes: Crowdsourcing Data Collection for Activity Understanding. ECCV (1) 2016: 510-526 - [i13]Xiaolong Wang, Abhinav Gupta:
Generative Image Modeling using Style and Structure Adversarial Networks. CoRR abs/1603.05631 (2016) - [i12]Gunnar A. Sigurdsson, Gül Varol, Xiaolong Wang, Ali Farhadi, Ivan Laptev, Abhinav Gupta:
Hollywood in Homes: Crowdsourcing Data Collection for Activity Understanding. CoRR abs/1604.01753 (2016) - 2015
- [j1]Liang Lin, Xiaolong Wang, Wei Yang, Jian-Huang Lai:
Discriminatively Trained And-Or Graph Models for Object Shape Detection. IEEE Trans. Pattern Anal. Mach. Intell. 37(5): 959-972 (2015) - [c9]Xiaolong Wang, David F. Fouhey, Abhinav Gupta:
Designing deep networks for surface normal estimation. CVPR 2015: 539-547 - [c8]Xiaolong Wang, Abhinav Gupta:
Unsupervised Learning of Visual Representations Using Videos. ICCV 2015: 2794-2802 - [i11]Keze Wang, Xiaolong Wang, Liang Lin, Meng Wang, Wangmeng Zuo:
3D Human Activity Recognition with Reconfigurable Convolutional Neural Networks. CoRR abs/1501.06262 (2015) - [i10]Liang Lin, Xiaolong Wang, Wei Yang, Jian-Huang Lai:
Discriminatively Trained And-Or Graph Models for Object Shape Detection. CoRR abs/1502.00341 (2015) - [i9]Zhujin Liang, Xiaolong Wang, Rui Huang, Liang Lin:
An Expressive Deep Model for Human Action Parsing from A Single Image. CoRR abs/1502.00501 (2015) - [i8]Liang Lin, Xiaolong Wang, Wei Yang, Jianhuang Lai:
Learning Contour-Fragment-based Shape Model with And-Or Tree Representation. CoRR abs/1502.00723 (2015) - [i7]Xiaolong Wang, Liang Lin:
Dynamical And-Or Graph Learning for Object Shape Modeling and Detection. CoRR abs/1502.00741 (2015) - [i6]Xiaolong Wang, Liliang Zhang, Liang Lin, Zhujin Liang, Wangmeng Zuo:
Deep Joint Task Learning for Generic Object Extraction. CoRR abs/1502.00743 (2015) - [i5]Xiaolong Wang, Liang Lin, Lichao Huang, Shuicheng Yan:
Incorporating Structural Alternatives and Sharing into Hierarchy for Multiclass Object Recognition and Detection. CoRR abs/1502.00744 (2015) - [i4]Xiaolong Wang, Abhinav Gupta:
Unsupervised Learning of Visual Representations using Videos. CoRR abs/1505.00687 (2015) - [i3]David F. Fouhey, Xiaolong Wang, Abhinav Gupta:
In Defense of the Direct Perception of Affordances. CoRR abs/1505.01085 (2015) - [i2]Xiaolong Wang, Ali Farhadi, Abhinav Gupta:
Actions ~ Transformations. CoRR abs/1512.00795 (2015) - 2014
- [c7]Zhujin Liang, Xiaolong Wang, Rui Huang, Liang Lin:
An expressive deep model for human action parsing from a single image. ICME 2014: 1-6 - [c6]Keze Wang, Xiaolong Wang, Liang Lin, Meng Wang, Wangmeng Zuo:
3D Human Activity Recognition with Reconfigurable Convolutional Neural Networks. ACM Multimedia 2014: 97-106 - [c5]Xiaolong Wang, Liliang Zhang, Liang Lin, Zhujin Liang, Wangmeng Zuo:
Deep Joint Task Learning for Generic Object Extraction. NIPS 2014: 523-531 - [i1]Xiaolong Wang, David F. Fouhey, Abhinav Gupta:
Designing Deep Networks for Surface Normal Estimation. CoRR abs/1411.4958 (2014) - 2013
- [c4]Xiaolong Wang, Liang Lin, Lichao Huang, Shuicheng Yan:
Incorporating Structural Alternatives and Sharing into Hierarchy for Multiclass Object Recognition and Detection. CVPR 2013: 3334-3341 - 2012
- [c3]Liang Lin, Xiaolong Wang, Wei Yang, Jian-Huang Lai:
Learning contour-fragment-based shape model with And-Or tree representation. CVPR 2012: 135-142 - [c2]Xiaolong Wang, Liang Lin:
Dynamical And-Or Graph Learning for Object Shape Modeling and Detection. NIPS 2012: 242-250 - 2011
- [c1]Wei Yang, Xiaolong Wang, Liang Lin, Chengying Gao:
Interactive CT image segmentation with online discriminative learning. ICIP 2011: 425-428
Coauthor Index
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