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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
72202017
Holistically-nested edge detection
S Xie, Z Tu
Proceedings of the IEEE international conference on computer vision, 1395-1403, 2015
28362015
Deeply-Supervised Nets
CY Lee*, S Xie*, PW Gallagher, Z Zhang, Z Tu
AISTATS 2 (3), 5, 2015
21182015
Integral channel features
P Dollár, Z Tu, P Perona, S Belongie
BMVC Press, 2009
15542009
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
12042014
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
11782017
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
979*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
924*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
8582002
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
8552003
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
8322012
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
6612005
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
5972016
Supervised learning of edges and object boundaries
P Dollar, Z Tu, S Belongie
2006 IEEE Computer Society Conference on Computer Vision and Pattern …, 2006
5602006
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
5242011
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
4682014
Cluster-based co-saliency detection
H Fu, X Cao, Z Tu
IEEE Transactions on Image Processing 22 (10), 3766-3778, 2013
3982013
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
353*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
3352010
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
310*2009
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