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
Stefano SoattoProfessor of Computer Science, UCLA; Vice President, AWS AIVerified email at ucla.edu
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
Yifan XuCoinbaseVerified email at ucsd.edu
Kaiming HeAssociate Professor, EECS, MITVerified email at mit.edu
Ross GirshickResearch Scientist, Allen Institute for Artificial Intelligence (AI2)Verified email at allenai.org
Bo WangChief AI Scientist,UHN; CIFAR AI Chair, Vector Institute; Assistant Professor, U of TorontoVerified email at vectorinstitute.ai
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
Justin LazarowAppleVerified email at apple.com
Jiayi MaWuhan UniversityVerified email at whu.edu.cn
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	13285	2017
Holistically-nested edge detection S Xie, Z Tu Proceedings of the IEEE international conference on computer vision, 1395-1403, 2015	4289	2015
Deeply-Supervised Nets CY Lee, S Xie, PW Gallagher, Z Zhang, Z Tu AISTATS 2 (3), 5, 2015	2860	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	1866*	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	1846	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	1776	2017
Integral channel features P Dollár, Z Tu, P Perona, S Belongie BMVC Press, 2009	1684	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	1072	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	1009*	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	918	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	898	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	810	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	687	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	676	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	625	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	580	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	500*	2014
Cluster-based co-saliency detection H Fu, X Cao, Z Tu IEEE Transactions on Image Processing 22 (10), 3766-3778, 2013	473	2013
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	393	2018
Co-scale conv-attentional image transformers W Xu, Y Xu, T Chang, Z Tu ICCV, 2021	389	2021

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