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Gaochang Wu (吴高昌)
Gaochang Wu (吴高昌)
The State Key Laboratory of Synthetical Automation for Process Industries, Northeastern University
在 mail.neu.edu.cn 的电子邮件经过验证 - 首页
标题
引用次数
引用次数
年份
Light field image processing: An overview
G Wu, B Masia, A Jarabo, Y Zhang, L Wang, Q Dai, T Chai, Y Liu
IEEE Journal of Selected Topics in Signal Processing 11 (7), 926-954, 2017
3892017
Light field reconstruction using deep convolutional network on EPI
G Wu, M Zhao, L Wang, Q Dai, T Chai, Y Liu
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2017
1652017
Light field reconstruction using convolutional network on EPI and extended applications
G Wu, Y Liu, L Fang, Q Dai, T Chai
IEEE transactions on pattern analysis and machine intelligence 41 (7), 1681-1694, 2018
722018
Learning sheared EPI structure for light field reconstruction
G Wu, Y Liu, Q Dai, T Chai
IEEE Transactions on Image Processing 28 (7), 3261-3273, 2019
612019
Revisiting light field rendering with deep anti-aliasing neural network
G Wu, Y Liu, L Fang, T Chai
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2021
23*2021
Data mining based noise diagnosis and fuzzy filter design for image processing
Y Wang, G Wu, GS Chen, T Chai
Computers & Electrical Engineering 40 (7), 2038-2049, 2014
112014
Disentangling light fields for super-resolution and disparity estimation
Y Wang, L Wang, G Wu, J Yang, W An, J Yu, Y Guo
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2022
102022
基于时序图像深度学习的电熔镁炉异常工况诊断
吴高昌, 刘强, 柴天佑, 秦泗钊
自动化学报 45 (8), 1475-1485, 2019
102019
Cross-scale reference-based light field super-resolution
M Zhao, G Wu, Y Li, X Hao, L Fang, Y Liu
IEEE Transactions on Computational Imaging 4 (3), 406-418, 2018
102018
Spatial-angular attention network for light field reconstruction
G Wu, Y Wang, Y Liu, L Fang, T Chai
IEEE Transactions on Image Processing 30, 8999-9013, 2021
72021
Cross-MPI: Cross-scale stereo for image superresolution using multiplane images
Y Zhou, G Wu, Y Fu, K Li, Y Liu
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021
7*2021
Joint view synthesis and disparity refinement for stereo matching
G Wu, Y Li, Y Huang, Y Liu
Frontiers of Computer Science 13 (6), 1337-1352, 2019
52019
LocalTrans: A Multiscale Local Transformer Network for Cross-Resolution Homography Estimation
R Shao, G Wu, Y Zhou, Y Fu, L Fang, Y Liu
Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV), 2021
32021
How depth estimation in light fields can benefit from super-resolution?
M Zhao, G Wu, Y Liu, X Hao
International Journal of Advanced Robotic Systems 15 (1), 1729881417748446, 2018
3*2018
Boosting single image super-resolution learnt from implicit multi-image prior
D Jin, M Ji, L Xu, G Wu, L Wang, L Fang
IEEE Transactions on Image Processing 30, 3240-3251, 2021
12021
All-in-depth via Cross-baseline Light Field Camera
D Jin, A Zhang, J Wu, G Wu, H Wang, L Fang
Proceedings of the 28th ACM International Conference on Multimedia, 3559-3567, 2020
12020
利用卷积神经网络的高光谱图像分类
赵漫丹, 任治全, 吴高昌, 郝向阳
测绘科学技术学报 34 (5), 501-507, 2017
12017
Real Time Power Equipment Meter Recognition Based on Deep Learning
Z Fan, L Shi, C Xi, H Wang, S Wang, G Wu
IEEE Transactions on Instrumentation and Measurement 71, 1-15, 2022
2022
Geo-NI: Geometry-aware Neural Interpolation for Light Field Rendering
G Wu, Y Zhou, Y Liu, L Fang, T Chai
arXiv preprint arXiv:2206.09736, 2022
2022
Disturbance Robust Abnormality Diagnosis of Fused Magnesium Furnaces Using Deep Neural Networks
Q Liu, Y Zhang, G Wu, Z Fan
IEEE Transactions on Artificial Intelligence, 2022
2022
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