Artículos con órdenes de acceso público - Zhuowen TuMás información
Disponibles en algún lugar: 67
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
Órdenes: US National Science Foundation
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
Órdenes: US National Science Foundation
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
Órdenes: Genome Canada
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
Órdenes: National Natural Science Foundation of China, UK Engineering and Physical …
Auto-context and its application to high-level vision tasks
Z Tu
Computer Vision and Pattern Recognition, 2008. CVPR 2008. IEEE Conference on …, 2008
Órdenes: US National Institutes of Health
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
Órdenes: US National Science Foundation
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
Órdenes: US National Institutes of Health
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
Órdenes: US National Institutes of Health
Cluster-based co-saliency detection
H Fu, X Cao, Z Tu
IEEE Transactions on Image Processing 22 (10), 3766-3778, 2013
Órdenes: US National Institutes of Health
Co-scale conv-attentional image transformers
W Xu, Y Xu, T Chang, Z Tu
ICCV, 2021
Órdenes: US National Science Foundation
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
Órdenes: US National Science Foundation
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
Órdenes: US National Institutes of Health
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
Órdenes: US National Institutes of Health
Comparison of AdaBoost and support vector machines for detecting Alzheimer's disease through automated hippocampal segmentation
JH Morra, Z Tu, LG Apostolova, AE Green, AW Toga, PM Thompson
IEEE transactions on medical imaging 29 (1), 30-43, 2009
Órdenes: US National Institutes of Health
Automated hippocampal shape analysis predicts the onset of dementia in mild cognitive impairment
SG Costafreda, ID Dinov, Z Tu, Y Shi, CY Liu, I Kloszewska, P Mecocci, ...
Neuroimage 56 (1), 212-219, 2011
Órdenes: US National Institutes of Health
Automated 3D mapping of hippocampal atrophy and its clinical correlates in 400 subjects with Alzheimer's disease, mild cognitive impairment, and elderly controls
JH Morra, Z Tu, LG Apostolova, AE Green, C Avedissian, SK Madsen, ...
Human brain mapping 30 (9), 2766-2788, 2009
Órdenes: US National Institutes of Health
Validation of a fully automated 3D hippocampal segmentation method using subjects with Alzheimer's disease mild cognitive impairment, and elderly controls
JH Morra, Z Tu, LG Apostolova, AE Green, C Avedissian, SK Madsen, ...
Neuroimage 43 (1), 59-68, 2008
Órdenes: US National Institutes of Health
Robust estimation of nonrigid transformation for point set registration
J Ma, J Zhao, J Tian, Z Tu, AL Yuille
Computer Vision and Pattern Recognition (CVPR), 2013 IEEE Conference on …, 2013
Órdenes: US National Institutes of Health
Multiple component learning for object detection
P Dollár, B Babenko, S Belongie, P Perona, Z Tu
Computer Vision–ECCV 2008: 10th European Conference on Computer Vision …, 2008
Órdenes: US National Institutes of Health
Harvesting mid-level visual concepts from large-scale internet images
Q Li, J Wu, Z Tu
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2013
Órdenes: US National Institutes of Health
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