Zhuowen Tu

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Saining XieResearch Scientist, Facebook AI Research (FAIR)Verified email at fb.com
Xiang BaiHuazhong University of Science and Technology (HUST)Verified email at hust.edu.cn
Piotr DollárFacebook AI ResearchVerified email at fb.com
Alan YuilleProfessor of Cognitive Science and Computer Science, Johns Hopkins UniversityVerified email at jhu.edu
Wenyu LiuHuazhong University of Science and TechnologyVerified email at hust.edu.cn
Chen-Yu LeeResearch Scientist, GoogleVerified email at google.com
Serge BelongieProfessor of Computer Science, Cornell University and Cornell TechVerified email at cs.cornell.edu
song-chun zhuProfessor of Statistics and Computer Science, UCLAVerified email at stat.ucla.edu
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
Xinggang WangAssociate Professor in Huazhong University of Science and TechnologyVerified email at hust.edu.cn
Jun-Yan ZhuAssistant Professor, 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 YaoAlibaba DAMO AcademyVerified email at temple.edu
Yi Ma (马毅)Professor of EECS, University of California, BerkeleyVerified email at eecs.berkeley.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
LONGIN JAN LATECKIProfessor of Computer Science, Temple University, PhiladelphiaVerified email at temple.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	4762	2017
Holistically-nested edge detection S Xie, Z Tu Proceedings of the IEEE international conference on computer vision, 1395-1403, 2015	2220	2015
Deeply-Supervised Nets CY Lee, S Xie, PW Gallagher, Z Zhang, Z Tu AISTATS 2 (3), 5, 2015	1762	2015
Integral channel features P Dollár, Z Tu, P Perona, S Belongie BMVC Press, 2009	1471	2009
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	946	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	888	2017
Auto-context and its application to high-level vision tasks Z Tu Computer Vision and Pattern Recognition, 2008. CVPR 2008. IEEE Conference on …, 2008	876*	2008
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	860	2002
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	831	2003
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	722	2012
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	646*	2018
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	646	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	530	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	498*	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	452	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	393	2014
Cluster-based co-saliency detection H Fu, X Cao, Z Tu IEEE Transactions on Image Processing 22 (10), 3766-3778, 2013	362	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	327	2010
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	304*	2014
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	303*	2009

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