Zhuowen Tu

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	总计	2019 年至今
引用	49541	34145
h 指数	77	55
i10 指数	139	118

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Saining XieAssistant Professor at the Courant Institute, New York University在 nyu.edu 的电子邮件经过验证
Xiang BaiHuazhong University of Science and Technology (HUST)在 hust.edu.cn 的电子邮件经过验证
Piotr DollárFAIR在 fb.com 的电子邮件经过验证
Alan YuilleProfessor of Cognitive Science and Computer Science, Johns Hopkins University在 jhu.edu 的电子邮件经过验证
Chen-Yu LeeResearch Scientist, Google在 google.com 的电子邮件经过验证
Stefano SoattoProfessor of Computer Science, UCLA; Vice President, AWS AI在 ucla.edu 的电子邮件经过验证
Wenyu LiuHuazhong University of Science and Technology在 hust.edu.cn 的电子邮件经过验证
song-chun zhuProfessor of Statistics and Computer Science, UCLA在 stat.ucla.edu 的电子邮件经过验证
Juan Eugenio IglesiasMassachusetts General Hospital & Harvard Medical School / MIT / UCL在 mgh.harvard.edu 的电子邮件经过验证
Yifan XuCoinbase在 ucsd.edu 的电子邮件经过验证
Kaiming HeAssociate Professor, EECS, MIT在 mit.edu 的电子邮件经过验证
Ross GirshickResearch Scientist, Allen Institute for Artificial Intelligence (AI2)在 allenai.org 的电子邮件经过验证
Bo WangChief AI Scientist,UHN; CIFAR AI Chair, Vector Institute; Assistant Professor, U of Toronto在 vectorinstitute.ai 的电子邮件经过验证
Xinggang WangProfessor, Huazhong University of Science and Technology在 hust.edu.cn 的电子邮件经过验证
Jun-Yan ZhuAssistant Professor, Carnegie Mellon University在 cs.cmu.edu 的电子邮件经过验证
Jiajun WuStanford University在 cs.stanford.edu 的电子邮件经过验证
Justin LazarowApple在 apple.com 的电子邮件经过验证
Jiayi MaWuhan University在 whu.edu.cn 的电子邮件经过验证
Cong YaoAlibaba DAMO Academy在 temple.edu 的电子邮件经过验证
Qibin HouNankai University在 nankai.edu.cn 的电子邮件经过验证

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Zhuowen Tu

Professor, Cognitive Science, Computer Science&Engineering, UC San Diego

在 ucsd.edu 的电子邮件经过验证 - 首页

Computer Vision Machine Learning Deep Learning Neural Computation


标题按引用次数排序按年份排序按标题排序	引用次数引用次数	年份
Aggregated residual transformations for deep neural networks S Xie, R Girshick, P Dollár, Z Tu, K He Computer Vision and Pattern Recognition, 2017. CVPR 2017. IEEE Conference on, 2017	13772	2017
Holistically-nested edge detection S Xie, Z Tu Proceedings of the IEEE international conference on computer vision, 1395-1403, 2015	4415	2015
Deeply-Supervised Nets CY Lee, S Xie, PW Gallagher, Z Zhang, Z Tu AISTATS 2 (3), 5, 2015	2936	2015
Rethinking spatiotemporal feature learning: Speed-accuracy trade-offs in video classification S Xie, C Sun, J Huang, Z Tu, K Murphy Proceedings of the European conference on computer vision (ECCV), 305-321, 2018	1931*	2018
Similarity network fusion for aggregating data types on a genomic scale B Wang, AM Mezlini, F Demir, M Fiume, Z Tu, M Brudno, B Haibe-Kains, ... Nature methods 11 (3), 333-337, 2014	1912	2014
Deeply supervised salient object detection with short connections Q Hou, MM Cheng, X Hu, A Borji, Z Tu, PHS Torr Proceedings of the IEEE conference on computer vision and pattern …, 2017	1816	2017
Integral channel features P Dollár, Z Tu, P Perona, S Belongie BMVC Press, 2009	1693	2009
Detecting texts of arbitrary orientations in natural images C Yao, X Bai, W Liu, Y Ma, Z Tu 2012 IEEE Conference on Computer Vision and Pattern Recognition, 1083-1090, 2012	1090	2012
Auto-context and its application to high-level vision tasks Z Tu Computer Vision and Pattern Recognition, 2008. CVPR 2008. IEEE Conference on …, 2008	1015*	2008
Image parsing: Unifying segmentation, detection, and recognition Z Tu, X Chen, A Yuille, SC Zhu Computer Vision, 2003. Proceedings. Ninth IEEE International Conference on …, 2003	923	2003
Image segmentation by data-driven Markov chain Monte Carlo Z Tu, SC Zhu IEEE Transactions on pattern analysis and machine intelligence 24 (5), 657-673, 2002	899	2002
Generalizing pooling functions in convolutional neural networks: Mixed, gated, and tree CY Lee, PW Gallagher, Z Tu International Conference on Artificial Intelligence and Statistics, 2016	822	2016
Robust brain extraction across datasets and comparison with publicly available methods JE Iglesias, CY Liu, PM Thompson, Z Tu IEEE transactions on medical imaging 30 (9), 1617-1634, 2011	696	2011
Probabilistic boosting-tree: Learning discriminative models for classification, recognition, and clustering Z Tu Computer Vision, 2005. ICCV 2005. Tenth IEEE International Conference on 2 …, 2005	687	2005
Supervised learning of edges and object boundaries P Dollar, Z Tu, S Belongie 2006 IEEE computer society conference on computer vision and pattern …, 2006	631	2006
Robust point matching via vector field consensus J Ma, J Zhao, J Tian, AL Yuille, Z Tu IEEE Transactions on Image Processing 23 (4), 1706-1721, 2014	593	2014
Weakly supervised histopathology cancer image segmentation and classification Y Xu, JY Zhu, I Eric, C Chang, M Lai, Z Tu Medical image analysis 18 (3), 591-604, 2014	509*	2014
Cluster-based co-saliency detection H Fu, X Cao, Z Tu IEEE Transactions on Image Processing 22 (10), 3766-3778, 2013	476	2013
Co-scale conv-attentional image transformers W Xu, Y Xu, T Chang, Z Tu ICCV, 2021	408	2021
Attentional shapecontextnet for point cloud recognition S Xie, S Liu, Z Chen, Z Tu Proceedings of the IEEE conference on computer vision and pattern …, 2018	401	2018

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