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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.dagstuhl.de/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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Books and Theses
- 2019
[b1]Xiaolong Wang:
Learning and Reasoning with Visual Correspondence in Time. Carnegie Mellon University, USA, 2019
Journal Articles
- 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) - 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) - 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)
Conference and Workshop Papers
- 2023
- [c91]Ruihan Yang, Ge Yang, Xiaolong Wang:
Neural Volumetric Memory for Visual Locomotion Control. CVPR 2023: 1430-1440 - [c90]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 - [c89]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 - [c88]Yuying Ge, Annabella Macaluso, Li Erran Li, Ping Luo, Xiaolong Wang:
Policy Adaptation from Foundation Model Feedback. CVPR 2023: 19059-19069 - [c87]Chen Bao, Helin Xu, Yuzhe Qin, Xiaolong Wang:
DexArt: Benchmarking Generalizable Dexterous Manipulation with Articulated Objects. CVPR 2023: 21190-21200 - [c86]Jiteng Mu, Shen Sang, Nuno Vasconcelos, Xiaolong Wang:
ActorsNeRF: Animatable Few-shot Human Rendering with Generalizable NeRFs. ICCV 2023: 18345-18355 - [c85]Nicklas Hansen, Yixin Lin, Hao Su, Xiaolong Wang, Vikash Kumar, Aravind Rajeswaran:
MoDem: Accelerating Visual Model-Based Reinforcement Learning with Demonstrations. ICLR 2023 - [c84]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 - [c83]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 - [c82]Yang Fu, Ishan Misra, Xiaolong Wang:
MonoNeRF: Learning Generalizable NeRFs from Monocular Videos without Camera Poses. ICML 2023: 10392-10404 - [c81]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 - [c80]Xuanchen Lu, Xiaolong Wang, Judith E. Fan:
Learning Dense Correspondences between Photos and Sketches. ICML 2023: 22899-22916 - [c79]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 - [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 - 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 - 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 - 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 - 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 - 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 - 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 - 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 - 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 - 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 - 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
Informal and Other Publications
- 2023
- [i107]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) - [i106]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) - [i105]Jianglong Ye, Naiyan Wang, Xiaolong Wang:
FeatureNeRF: Learning Generalizable NeRFs by Distilling Foundation Models. CoRR abs/2303.12786 (2023) - [i104]Ruihan Yang, Ge Yang, Xiaolong Wang:
Neural Volumetric Memory for Visual Locomotion Control. CoRR abs/2304.01201 (2023) - [i103]Jiteng Mu, Shen Sang, Nuno Vasconcelos, Xiaolong Wang:
ActorsNeRF: Animatable Few-shot Human Rendering with Generalizable NeRFs. CoRR abs/2304.14401 (2023) - [i102]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) - [i101]An-Chieh Cheng, Xueting Li, Sifei Liu, Xiaolong Wang:
TUVF: Learning Generalizable Texture UV Radiance Fields. CoRR abs/2305.03040 (2023) - [i100]Chen Bao, Helin Xu, Yuzhe Qin, Xiaolong Wang:
DexArt: Benchmarking Generalizable Dexterous Manipulation with Articulated Objects. CoRR abs/2305.05706 (2023) - [i99]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) - [i98]Yueh-Hua Wu, Xiaolong Wang, Masashi Hamaya:
Elastic Decision Transformer. CoRR abs/2307.02484 (2023) - [i97]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) - [i96]Renhao Wang, Yu Sun, Yossi Gandelsman, Xinlei Chen, Alexei A. Efros, Xiaolong Wang:
Test-Time Training on Video Streams. CoRR abs/2307.05014 (2023) - [i95]Xuanchen Lu, Xiaolong Wang, Judith E. Fan:
Learning Dense Correspondences between Photos and Sketches. CoRR abs/2307.12967 (2023) - [i94]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) - [i93]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) - [i92]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) - [i91]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) - [i90]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) - [i89]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
- [i88]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) - [i87]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) - [i86]Nicklas Hansen, Xiaolong Wang, Hao Su:
Temporal Difference Learning for Model Predictive Control. CoRR abs/2203.04955 (2022) - [i85]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) - [i84]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) - [i83]Shaowei Liu, Subarna Tripathi, Somdeb Majumdar, Xiaolong Wang:
Joint Hand Motion and Interaction Hotspots Prediction from Egocentric Videos. CoRR abs/2204.01696 (2022) - [i82]Yueh-Hua Wu, Jiashun Wang, Xiaolong Wang:
Learning Generalizable Dexterous Manipulation from Human Grasp Affordance. CoRR abs/2204.02320 (2022) - [i81]Jianglong Ye, Yuntao Chen, Naiyan Wang, Xiaolong Wang:
GIFS: Neural Implicit Function for General Shape Representation. CoRR abs/2204.07126 (2022) - [i80]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) - [i79]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) - [i78]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) - [i77]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) - [i76]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) - [i75]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) - [i74]Yinbo Chen, Xiaolong Wang:
Transformers as Meta-Learners for Implicit Neural Representations. CoRR abs/2208.02801 (2022) - [i73]Yang Fu, Ishan Misra, Xiaolong Wang:
Multiplane NeRF-Supervised Disentanglement of Depth and Camera Pose from Videos. CoRR abs/2210.07181 (2022) - [i72]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) - [i71]Yanjie Ze, Nicklas Hansen, Yinbo Chen, Mohit Jain, Xiaolong Wang:
Visual Reinforcement Learning with Self-Supervised 3D Representations. CoRR abs/2210.07241 (2022) - [i70]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) - [i69]Nicklas Hansen, Yixin Lin, Hao Su, Xiaolong Wang, Vikash Kumar, Aravind Rajeswaran:
MoDem: Accelerating Visual Model-Based Reinforcement Learning with Demonstrations. CoRR abs/2212.05698 (2022) - [i68]Nicklas Hansen, Zhecheng Yuan, Yanjie Ze, Tongzhou Mu, Aravind Rajeswaran, Hao Su, Huazhe Xu, Xiaolong Wang:
On Pre-Training for Visuo-Motor Control: Revisiting a Learning-from-Scratch Baseline. CoRR abs/2212.05749 (2022) - [i67]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) - 2021
- [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
- [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) - 2019
- [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
- [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
- [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
- [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
- [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
- [i1]Xiaolong Wang, David F. Fouhey, Abhinav Gupta:
Designing Deep Networks for Surface Normal Estimation. CoRR abs/1411.4958 (2014)
Coauthor Index
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