Zhuowen Tu

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Saining XieAssistant Professor at the Courant Institute, New York UniversityEmail verificata su nyu.edu
Xiang BaiHuazhong University of Science and Technology (HUST)Email verificata su hust.edu.cn
Piotr DollárFAIREmail verificata su fb.com
Alan YuilleProfessor of Cognitive Science and Computer Science, Johns Hopkins UniversityEmail verificata su jhu.edu
Chen-Yu LeeResearch Scientist, GoogleEmail verificata su google.com
song-chun zhuProfessor of Statistics and Computer Science, UCLAEmail verificata su stat.ucla.edu
Wenyu LiuHuazhong University of Science and TechnologyEmail verificata su hust.edu.cn
Juan Eugenio IglesiasMassachusetts General Hospital & Harvard Medical School / MIT / UCLEmail verificata su mgh.harvard.edu
Kaiming HeResearch Scientist, Facebook AI Research (FAIR)Email verificata su fb.com
Ross GirshickResearch Scientist, Facebook AI Research (FAIR)Email verificata su eecs.berkeley.edu
Bo WangChief AI Scientist,UHN; CIFAR AI Chair, Vector Institute; Assistant Professor, U of TorontoEmail verificata su vectorinstitute.ai
Yifan XuCoinbaseEmail verificata su ucsd.edu
Stefano SoattoProfessor of Computer Science, UCLA; VP, AWSEmail verificata su ucla.edu
Xinggang WangProfessor, Huazhong University of Science and TechnologyEmail verificata su hust.edu.cn
Jun-Yan ZhuAssistant Professor, Carnegie Mellon UniversityEmail verificata su cs.cmu.edu
Jiajun WuStanford UniversityEmail verificata su cs.stanford.edu
Jiayi MaWuhan UniversityEmail verificata su whu.edu.cn
Justin LazarowAppleEmail verificata su apple.com
Cong YaoAlibaba DAMO AcademyEmail verificata su temple.edu
Qibin HouNankai UniversityEmail verificata su nankai.edu.cn

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Zhuowen Tu

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

Email verificata su ucsd.edu - Home page

Computer Vision Machine Learning Deep Learning Neural Computation


Titolo Ordina per citazioni Ordina per anno Ordina per titolo	Citata da Citata da	Anno
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	11163	2017
Holistically-nested edge detection S Xie, Z Tu Proceedings of the IEEE international conference on computer vision, 1395-1403, 2015	3798	2015
Deeply-Supervised Nets CY Lee, S Xie, PW Gallagher, Z Zhang, Z Tu AISTATS 2 (3), 5, 2015	2631	2015
Integral channel features P Dollár, Z Tu, P Perona, S Belongie BMVC Press, 2009	1656	2009
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	1608	2017
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	1607	2014
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	1574*	2018
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	991	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	977*	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	888	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	881	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	754	2016
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	669	2005
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	637	2011
Supervised learning of edges and object boundaries P Dollar, Z Tu, S Belongie 2006 IEEE Computer Society Conference on Computer Vision and Pattern …, 2006	606	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	544	2014
Cluster-based co-saliency detection H Fu, X Cao, Z Tu IEEE Transactions on Image Processing 22 (10), 3766-3778, 2013	463	2013
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	449*	2014
Learning context-sensitive shape similarity by graph transduction X Bai, X Yang, LJ Latecki, W Liu, Z Tu IEEE Transactions on Pattern Analysis and Machine Intelligence 32 (5), 861-874, 2010	352	2010
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	336	2018

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