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Wei Hu
Wei Hu
Computer Science Department, Beijing University of Chemical Technology
Verified email at mail.buct.edu.cn - Homepage
Title
Cited by
Cited by
Year
Deep convolutional neural networks for hyperspectral image classification
W Hu, Y Huang, L Wei, F Zhang, H Li
Journal of Sensors 2015, 1-12, 2015
17252015
DeepUNet: A deep fully convolutional network for pixel-level sea-land segmentation
R Li, W Liu, L Yang, S Sun, W Hu, F Zhang, W Li
IEEE journal of selected topics in applied earth observations and remote …, 2018
3402018
TreeUNet: Adaptive tree convolutional neural networks for subdecimeter aerial image segmentation
K Yue, L Yang, R Li, W Hu, F Zhang, W Li
ISPRS Journal of Photogrammetry and Remote Sensing 156, 1-13, 2019
1382019
Collaborative-representation-based nearest neighbor classifier for hyperspectral imagery
W Li, Q Du, F Zhang, W Hu
IEEE Geoscience and Remote Sensing Letters 12 (2), 389-393, 2014
1202014
Noise-tolerant paradigm for training face recognition CNNs
W Hu, Y Huang, F Zhang, R Li
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019
772019
Hyperspectral image classification by fusing collaborative and sparse representations
W Li, Q Du, F Zhang, W Hu
IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2016
722016
SAR target small sample recognition based on CNN cascaded features and AdaBoost rotation forest
F Zhang, Y Wang, J Ni, Y Zhou, W Hu
IEEE Geoscience and Remote Sensing Letters 17 (6), 1008-1012, 2019
602019
Accelerating time-domain SAR raw data simulation for large areas using multi-GPUs
F Zhang, C Hu, W Li, W Hu, HC Li
IEEE Journal of selected topics in applied earth observations and remote …, 2014
592014
Cell classification using convolutional neural networks in medical hyperspectral imagery
X Li, W Li, X Xu, W Hu
2017 2nd international conference on image, vision and computing (ICIVC …, 2017
562017
Deep CNN with multi-scale rotation invariance features for ship classification
Q Shi, W Li, F Zhang, W Hu, X Sun, L Gao
Ieee Access 6, 38656-38668, 2018
492018
Interactive approximate rendering of reflections, refractions, and caustics
W Hu, K Qin
IEEE Transactions on Visualization and Computer Graphics 13 (1), 46-57, 2006
462006
Interactive volume caustics in single-scattering media
W Hu, Z Dong, I Ihrke, T Grosch, G Yuan, HP Seidel
Proceedings of the 2010 ACM SIGGRAPH symposium on Interactive 3D Graphics …, 2010
352010
Ray tracing via GPU rasterization
W Hu, Y Huang, F Zhang, G Yuan, W Li
The Visual Computer 30, 697-706, 2014
342014
基于暗通道优先的单幅图像去雾新方法
胡伟, 袁国栋, 董朝, 疏学明
计算机研究与发展, 2132-2140, 2010
332010
Accelerating spaceborne SAR imaging using multiple CPU/GPU deep collaborative computing
F Zhang, G Li, W Li, W Hu, Y Hu
Sensors 16 (4), 494, 2016
322016
A fast inference networks for SAR target few-shot learning based on improved siamese networks
J Tang, F Zhang, Y Zhou, Q Yin, W Hu
IGARSS 2019-2019 IEEE International Geoscience and Remote Sensing Symposium …, 2019
272019
High resolution SAR image synthesis with hierarchical generative adversarial networks
H Huang, F Zhang, Y Zhou, Q Yin, W Hu
IGARSS 2019-2019 IEEE International Geoscience and Remote Sensing Symposium …, 2019
272019
Multi-aspect SAR target recognition based on space-fixed and space-varying scattering feature joint learning
F Zhang, Z Fu, Y Zhou, W Hu, W Hong
Remote Sensing Letters 10 (10), 998-1007, 2019
242019
A deep collaborative computing based SAR raw data simulation on multiple CPU/GPU platform
F Zhang, C Hu, W Li, W Hu, P Wang, HC Li
IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2016
212016
Small sample learning optimization for ResNet based SAR target recognition
Z Fu, F Zhang, Q Yin, R Li, W Hu, W Li
IGARSS 2018-2018 IEEE International Geoscience and Remote Sensing Symposium …, 2018
182018
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