Zhuowen Tu - Google Scholar

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	All	Since 2015
Citations	20872	14951
h-index	59	48
i10-index	98	87

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Co-authors

Xiang BaiHuazhong University of Science and Technology (HUST)Verified email at hust.edu.cn
Saining XieResearch Scientist, Facebook AI Research (FAIR)Verified email at fb.com
Alan YuilleProfessor of Cognitive Science and Computer Science, Johns Hopkins UniversityVerified email at jhu.edu
Piotr DollárFacebook AI ResearchVerified email at fb.com
song-chun zhuProfessor of Statistics and Computer Science, UCLAVerified email at stat.ucla.edu
Serge BelongieProfessor of Computer Science, Cornell University and Cornell TechVerified email at cs.cornell.edu
Chen-Yu LeeResearch Scientist, GoogleVerified email at google.com
Xinggang WangAssociate Professor in Huazhong University of Science and TechnologyVerified email at hust.edu.cn
Juan Eugenio IglesiasUCL / Massachusetts General Hospital & Harvard Medical School / MITVerified email at ucl.ac.uk
Bo WangLead AI Scientist, PMCC UHN; CIFAR AI Chair, Vector Institute; Assistant Professor, U of TorontoVerified email at vectorinstitute.ai
Jun-Yan ZhuAdobe Research, Carnegie Mellon UniversityVerified email at cs.cmu.edu
Jiajun WuStanford UniversityVerified email at cs.stanford.edu
Pietro PeronaCalifornia Institute of TechnologyVerified email at caltech.edu
Jiayi MaWuhan UniversityVerified email at whu.edu.cn
Cong YaoMegvii (Face++)Verified email at temple.edu
Yi Ma (马毅)Professor of EECS, University of California, BerkeleyVerified email at eecs.berkeley.edu
LONGIN JAN LATECKIProfessor of Computer Science, Temple University, PhiladelphiaVerified email at temple.edu
Quannan LiTwitter, UCLA, Huazhong Univ. of Sci. and Tech.Verified email at twitter.com
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

Zhuowen Tu

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

Verified email at ucsd.edu - Homepage

Computer Vision Machine Learning Deep Learning Neural Computation


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
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	2476	2017
Holistically-nested edge detection S Xie, Z Tu Proceedings of the IEEE international conference on computer vision, 1395-1403, 2015	1543	2015
Deeply-Supervised Nets CY Lee, S Xie, PW Gallagher, Z Zhang, Z Tu AISTATS 2 (3), 5, 2015	1378	2015
Integral channel features P Dollár, Z Tu, P Perona, S Belongie BMVC Press, 2009	1304	2009
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	811	2002
Auto-context and its application to high-level vision tasks Z Tu Computer Vision and Pattern Recognition, 2008. CVPR 2008. IEEE Conference on …, 2008	780*	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	764	2003
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, 2014	690	2014
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	620	2005
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	587	2012
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	548	2017
Supervised learning of edges and object boundaries P Dollar, Z Tu, S Belongie 2006 IEEE Computer Society Conference on Computer Vision and Pattern …, 2006	495	2006
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	368*	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	363	2011
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	335	2014
Cluster-based co-saliency detection H Fu, X Cao, Z Tu IEEE Transactions on Image Processing 22 (10), 3766-3778, 2013	313	2013
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	293	2010
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	292*	2018
Automated mapping of hippocampal atrophy in 1-year repeat MRI data from 490 subjects with Alzheimer's disease, mild cognitive impairment, and elderly controls JH Morra, Z Tu, LG Apostolova, AE Green, C Avedissian, SK Madsen, ... Neuroimage 45 (1), S3-S15, 2009	279*	2009
Feature mining for image classification P Dollár, Z Tu, H Tao, S Belongie 2007 IEEE Conference on Computer Vision and Pattern Recognition, 1-8, 2007	266	2007

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