Підписатись
Zhuowen Tu
Zhuowen Tu
Professor, Cognitive Science, Computer Science&Engineering, UC San Diego
Підтверджена електронна адреса в ucsd.edu - Домашня сторінка
Назва
Посилання
Посилання
Рік
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
142112017
Holistically-nested edge detection
S Xie, Z Tu
Proceedings of the IEEE international conference on computer vision, 1395-1403, 2015
45452015
Deeply-Supervised Nets
CY Lee*, S Xie*, PW Gallagher, Z Zhang, Z Tu
AISTATS 2 (3), 5, 2015
29842015
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
1972*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
19612014
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
18452017
Integral channel features
P Dollár, Z Tu, P Perona, S Belongie
BMVC Press, 2009
16992009
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
10932012
Auto-context and its application to high-level vision tasks
Z Tu
Computer Vision and Pattern Recognition, 2008. CVPR 2008. IEEE Conference on …, 2008
1019*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
9232003
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
9002002
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
8502016
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
7112011
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
6862005
Supervised learning of edges and object boundaries
P Dollar, Z Tu, S Belongie
2006 IEEE computer society conference on computer vision and pattern …, 2006
6342006
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
6002014
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
519*2014
Cluster-based co-saliency detection
H Fu, X Cao, Z Tu
IEEE Transactions on Image Processing 22 (10), 3766-3778, 2013
4772013
Co-scale conv-attentional image transformers
W Xu, Y Xu, T Chang, Z Tu
ICCV, 2021
4342021
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
4142018
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