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Zhuowen Tu
Zhuowen Tu
Professor, Cognitive Science, Computer Science&Engineering, UC San Diego
Verified email at ucsd.edu - Homepage
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
84262017
Holistically-nested edge detection
S Xie, Z Tu
Proceedings of the IEEE international conference on computer vision, 1395-1403, 2015
31042015
Deeply-Supervised Nets
CY Lee*, S Xie*, PW Gallagher, Z Zhang, Z Tu
AISTATS 2 (3), 5, 2015
22802015
Integral channel features
P Dollár, Z Tu, P Perona, S Belongie
BMVC Press, 2009
15882009
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
13192014
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
13032017
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
1164*2018
Auto-context and its application to high-level vision tasks
Z Tu
Computer Vision and Pattern Recognition, 2008. CVPR 2008. IEEE Conference on …, 2008
943*2008
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
8912012
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
8642003
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
8642002
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
6702005
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
6412016
Supervised learning of edges and object boundaries
P Dollar, Z Tu, S Belongie
2006 IEEE Computer Society Conference on Computer Vision and Pattern …, 2006
5772006
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
5492011
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
4912014
Cluster-based co-saliency detection
H Fu, X Cao, Z Tu
IEEE Transactions on Image Processing 22 (10), 3766-3778, 2013
4222013
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
381*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
3432010
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
316*2009
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