Xiaolong Wang

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Abhinav GuptaAssociate Professor, Robotics Institute, Carnegie Mellon UniversityVerified email at cs.cmu.edu
Kaiming HeResearch Scientist, Facebook AI Research (FAIR)Verified email at fb.com
Ross GirshickResearch Scientist, Facebook AI Research (FAIR)Verified email at eecs.berkeley.edu
Liang LinProfessor, School of Computer Science and Engineering, Sun Yat-Sen University, ChinaVerified email at ieee.org
Alexei A. EfrosUC BerkeleyVerified email at eecs.berkeley.edu
Ali FarhadiProfessor, Computer Science and Engineering, University of WashingtonVerified email at cs.uw.edu
Trevor DarrellProfessor of Computer Science, U.C. BerkeleyVerified email at eecs.berkeley.edu
Wei YangNVIDIAVerified email at nvidia.com
Sifei LiuNVIDIAVerified email at nvidia.com
Huazhe(Harry) XuUC BerkleleyVerified email at berkeley.edu
Zhuang LiuPhD student at UC BerkeleyVerified email at berkeley.edu
Tete XiaoPhD Student, BAIR, UC BerkeleyVerified email at berkeley.edu
David FouheyAssistant Professor U. Michigan EECSVerified email at umich.edu
Gunnar Atli SigurdssonGraduate Student, The Robotics Institute, Carnegie Mellon UniversityVerified email at cs.cmu.edu
Ivan LaptevResearch director, INRIAVerified email at inria.fr
Gul VarolEcole des Ponts ParisTech (ENPC)Verified email at enpc.fr
Yi WuInstitute for Interdisciplinary Information Sciences, Tsinghua UniversityVerified email at mail.tsinghua.edu.cn
Yu SunEECS, UC BerkeleyVerified email at berkeley.edu
Abhinav ShrivastavaAssistant Professor, University of Maryland, College ParkVerified email at cs.umd.edu
Wangmeng ZuoSchool of Computer Science and Technology, Harbin Institute of TechnologyVerified email at hit.edu.cn

Xiaolong Wang

Assistant Professor, UC San Diego

Verified email at eng.ucsd.edu - Homepage

computer vision machine learning robotics


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Non-local Neural Networks X Wang, R Girshick, A Gupta, K He Computer Vision and Pattern Recognition (CVPR), 2018 IEEE Conference on, 2018	3703	2018
Unsupervised Learning of Visual Representations using Videos X Wang, A Gupta International Conference on Computer Vision (ICCV), 2015	924	2015
Hollywood in Homes: Crowdsourcing Data Collection for Activity Understanding GA Sigurdsson, G Varol, X Wang, A Farhadi, I Laptev, A Gupta European Conference on Computer Vision (ECCV), 2016	613	2016
Generative Image Modeling using Style and Structure Adversarial Networks X Wang, A Gupta European Conference on Computer Vision (ECCV), 2016	531	2016
Videos as Space-Time Region Graphs X Wang, A Gupta European Conference on Computer Vision (ECCV), 2018	433	2018
A-Fast-RCNN: Hard Positive Generation via Adversary for Object Detection X Wang, A Shrivastava, A Gupta Computer Vision and Pattern Recognition (CVPR), 2017 IEEE Conference on, 2017	431	2017
Zero-shot Recognition via Semantic Embeddings and Knowledge Graphs X Wang, Y Ye, A Gupta Computer Vision and Pattern Recognition (CVPR), 2018 IEEE Conference on, 2018	331	2018
Designing Deep Networks for Surface Normal Estimation X Wang, DF Fouhey, A Gupta Computer Vision and Pattern Recognition (CVPR), 2015 IEEE Conference on, 539-547, 2015	299	2015
Actions ~ Transformations X Wang, A Farhadi, A Gupta Computer Vision and Pattern Recognition (CVPR), 2016 IEEE Conference on, 2016	284	2016
3D Human Pose Estimation in the Wild by Adversarial Learning W Yang, W Ouyang, X Wang, J Ren, H Li, X Wang Computer Vision and Pattern Recognition (CVPR), 2018 IEEE Conference on, 2018	251	2018
Learning Correspondence from the Cycle-Consistency of Time X Wang, A Jabri, AA Efros Computer Vision and Pattern Recognition (CVPR), 2019 IEEE Conference on, 2019	212	2019
Transitive Invariance for Self-supervised Visual Representation Learning X Wang, K He, A Gupta International Conference on Computer Vision (ICCV), 2017	136	2017
3d human activity recognition with reconfigurable convolutional neural networks K Wang, X Wang, L Lin, M Wang, W Zuo Proceedings of the 22nd ACM international conference on Multimedia, 97-106, 2014	118	2014
Visual semantic navigation using scene priors W Yang, X Wang, A Farhadi, A Gupta, R Mottaghi International Conference on Machine Learning (ICLR), 2019	116	2019
Discriminatively Trained And-Or Graph Models for Object Shape Detection L Lin, X Wang, W Yang, J Lai TPAMI 37 (5), 959-972, 2015	95	2015
Test-time training with self-supervision for generalization under distribution shifts Y Sun, X Wang, Z Liu, J Miller, A Efros, M Hardt International Conference on Machine Learning (ICML), 9229-9248, 2020	93*	2020
Meta-Baseline: Exploring Simple Meta-Learning for Few-Shot Learning Y Chen, Z Liu, H Xu, T Darrell, X Wang International Conference on Computer Vision (ICCV), 2021	91*	2021
Temporal dynamic graph LSTM for action-driven video object detection Y Yuan, X Liang, X Wang, DY Yeung, A Gupta International Conference on Computer Vision (ICCV), 2017	62	2017
Deep Joint Task Learning for Generic Object Extraction X Wang, L Zhang, L Lin, Z Liang, W Zuo Advances in Neural Information Processing Systems, 2014	52	2014
Joint-task Self-supervised Learning for Temporal Correspondence X Li, S Liu, S De Mello, X Wang, J Kautz, MH Yang Conference on Neural Information Processing Systems (NeurIPS), 2019	47	2019

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