Zhuowen Tu

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Saining XieAssistant Professor at the Courant Institute, New York UniversityVerified email at nyu.edu
Xiang BaiHuazhong University of Science and Technology (HUST)Verified email at hust.edu.cn
Piotr DollárFAIRVerified email at fb.com
Alan YuilleProfessor of Cognitive Science and Computer Science, Johns Hopkins UniversityVerified email at jhu.edu
Chen-Yu LeeResearch Scientist, GoogleVerified email at google.com
song-chun zhuProfessor of Statistics and Computer Science, UCLAVerified email at stat.ucla.edu
Wenyu LiuHuazhong University of Science and TechnologyVerified email at hust.edu.cn
Juan Eugenio IglesiasMassachusetts General Hospital & Harvard Medical School / MIT / UCLVerified email at mgh.harvard.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
Bo WangChief AI Scientist,UHN; CIFAR AI Chair, Vector Institute; Assistant Professor, U of TorontoVerified email at vectorinstitute.ai
Yifan XuCoinbaseVerified email at ucsd.edu
Stefano SoattoProfessor of Computer Science, UCLA; VP, AWSVerified email at ucla.edu
Xinggang WangProfessor, 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
Jiayi MaWuhan UniversityVerified email at whu.edu.cn
Justin LazarowAppleVerified email at apple.com
Cong YaoAlibaba DAMO AcademyVerified email at temple.edu
Qibin HouNankai UniversityVerified email at nankai.edu.cn

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


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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	11113	2017
Holistically-nested edge detection S Xie, Z Tu Proceedings of the IEEE international conference on computer vision, 1395-1403, 2015	3788	2015
Deeply-Supervised Nets CY Lee, S Xie, PW Gallagher, Z Zhang, Z Tu AISTATS 2 (3), 5, 2015	2625	2015
Integral channel features P Dollár, Z Tu, P Perona, S Belongie BMVC Press, 2009	1658	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	1603	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	1601	2017
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	1562*	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	984	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	978*	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	886	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	753	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	670	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	638	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	604	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	462	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	453*	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	351	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	335	2018

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