cewu lu

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	Tutte	Dal 2019
Citazioni	22791	20205
Indice H	61	59
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Jiaya JiaChair Professor, HKUST; Adjunct Prof., CUHKEmail verificata su cse.ust.hk
Chi Keung TangProfessor of Computer Science and Engineering, The Hong Kong University of Science and TechnologyEmail verificata su cs.ust.hk
Leonidas GuibasProfessor of Computer Science, Stanford UniversityEmail verificata su cs.stanford.edu
Jianping ShiSenseTime Group LimitedEmail verificata su sensetime.com
Li XuCEO, SenseTime Group LimitedEmail verificata su sensetime.com
Li Fei-FeiProfessor of Computer Science, Stanford UniversityEmail verificata su cs.stanford.edu
Di LinAssociate Professor, Tianjin UniversityEmail verificata su tju.edu.cn
Hao SuUCSD CSEEmail verificata su ucsd.edu
Li YiTsinghua UniversityEmail verificata su mail.tsinghua.edu.cn
Yao XiaoHong Kong University of Science and TechnologyEmail verificata su cse.ust.hk
Ranjay KrishnaAssistant Professor, University of WashingtonEmail verificata su cs.washington.edu
Michael S. BernsteinAssociate Professor, Stanford UniversityEmail verificata su cs.stanford.edu
Hao ChenAssistant Professor, The Hong Kong University of Science and TechnologyEmail verificata su cse.ust.hk
Dimitrios GunopulosNational and Kapodistrian University of AthensEmail verificata su di.uoa.gr
Xinlei PanUniversity of California, BerkeleyEmail verificata su cs.berkeley.edu
Renjie LiaoUniversity of British ColumbiaEmail verificata su ece.ubc.ca
Xiaogang WangProfessor of Electronic Engineering, the Chinese University of Hong KongEmail verificata su ee.cuhk.edu.hk
Shuai YiSenseTime Group LimitedEmail verificata su sensetime.com
Efstratios TsougenisPrudential plcEmail verificata su ha.org.hk
Qiang Yang (杨强）Chief AI Officer@WeBank, Prof. Emeritus @HKUST, IJCAI President 2017-19, AAAI-21 General ChairEmail verificata su cse.ust.hk

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cewu lu

Professor of Shanghai Jiao Tong University

Email verificata su cs.stanford.edu

Computer Vision Robot Learning Machine Learning


Titolo Ordina per citazioni Ordina per anno Ordina per titolo	Citata da Citata da	Anno
Rmpe: Regional multi-person pose estimation HS Fang, S Xie, YW Tai, C Lu Proceedings of the IEEE international conference on computer vision, 2334-2343, 2017	2245	2017
Image smoothing via L₀ gradient minimization L Xu, C Lu, Y Xu, J Jia Proceedings of the 2011 SIGGRAPH Asia conference, 1-12, 2011	1741	2011
Abnormal event detection at 150 fps in matlab C Lu, J Shi, J Jia Proceedings of the IEEE international conference on computer vision, 2720-2727, 2013	1543	2013
Visual relationship detection with language priors C Lu, R Krishna, M Bernstein, L Fei-Fei Computer Vision–ECCV 2016: 14th European Conference, Amsterdam, The …, 2016	1334	2016
A scalable active framework for region annotation in 3d shape collections L Yi, VG Kim, D Ceylan, IC Shen, M Yan, H Su, C Lu, Q Huang, A Sheffer, ... ACM Transactions on Graphics (ToG) 35 (6), 1-12, 2016	1257	2016
Densefusion: 6d object pose estimation by iterative dense fusion C Wang, D Xu, Y Zhu, R Martín-Martín, C Lu, L Fei-Fei, S Savarese Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019	1174	2019
Crowdpose: Efficient crowded scenes pose estimation and a new benchmark J Li, C Wang, H Zhu, Y Mao, HS Fang, C Lu Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019	640	2019
Graspnet-1billion: A large-scale benchmark for general object grasping HS Fang, C Wang, M Gou, C Lu Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020	547	2020
Pointsift: A sift-like network module for 3d point cloud semantic segmentation M Jiang, Y Wu, T Zhao, Z Zhao, C Lu arXiv preprint arXiv:1807.00652, 2018	513	2018
Alphapose: Whole-body regional multi-person pose estimation and tracking in real-time HS Fang, J Li, H Tang, C Xu, H Zhu, Y Xiu, YL Li, C Lu IEEE Transactions on Pattern Analysis and Machine Intelligence 45 (6), 7157-7173, 2022	480	2022
Virtual to real reinforcement learning for autonomous driving X Pan, Y You, Z Wang, C Lu arXiv preprint arXiv:1704.03952, 2017	439	2017
Pose Flow: Efficient online pose tracking Y Xiu, J Li, H Wang, Y Fang, C Lu arXiv preprint arXiv:1802.00977, 2018	431	2018
Deep lac: Deep localization, alignment and classification for fine-grained recognition D Lin, X Shen, C Lu, J Jia Proceedings of the IEEE conference on computer vision and pattern …, 2015	413	2015
Hybrik: A hybrid analytical-neural inverse kinematics solution for 3d human pose and shape estimation J Li, C Xu, Z Chen, S Bian, L Yang, C Lu Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2021	408	2021
Open x-embodiment: Robotic learning datasets and rt-x models A O'Neill, A Rehman, A Gupta, A Maddukuri, A Gupta, A Padalkar, A Lee, ... arXiv preprint arXiv:2310.08864, 2023	373*	2023
Transferable interactiveness knowledge for human-object interaction detection YL Li, S Zhou, X Huang, L Xu, Z Ma, HS Fang, Y Wang, C Lu Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019	361	2019
Tubetk: Adopting tubes to track multi-object in a one-step training model B Pang, Y Li, Y Zhang, M Li, C Lu Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020	327	2020
Instaboost: Boosting instance segmentation via probability map guided copy-pasting HS Fang, J Sun, R Wang, M Gou, YL Li, C Lu Proceedings of the IEEE/CVF international conference on computer vision, 682-691, 2019	243	2019
Human pose regression with residual log-likelihood estimation J Li, S Bian, A Zeng, C Wang, B Pang, W Liu, C Lu Proceedings of the IEEE/CVF international conference on computer vision …, 2021	238	2021
Two-class weather classification C Lu, D Lin, J Jia, CK Tang Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2014	204	2014

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