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Multi-scale self-attention-based feature enhancement for detection of targets with small image sizes 期刊论文
PATTERN RECOGNITION LETTERS, 2023, 卷号: 166, 页码: 46-52
Authors:  Deng, Ying;  Hu, Xingliang;  Li, Bing;  Zhang, Congxuan;  Hu, Weiming
Favorite  |  View/Download:26/0  |  Submit date:2023/03/20
Detection of targets with small image sizes  Feature enhancement  Multi-scale combination Self-attention  
Parallel multiscale context-based edge-preserving optical flow estimation with occlusion detection 期刊论文
Authors:  Zhang, Congxuan;  Feng, Cheng;  Chen, Zhen;  Hu, Weiming;  Li, Ming
Favorite  |  View/Download:70/0  |  Submit date:2021/12/28
Optical flow  Occlusion detection  Edge-preserving  Parallel multiscale context  Convolutional neural network  
Open-Vocabulary One-Stage Detection with Hierarchical Visual-Language Knowledge Distillation 会议论文
, New Orleans, Louisiana, 2022-06
Authors:  Zongyang Ma;  Guan Luo;  Jin Gao;  Liang L;  Yuxin Chen;  Shaoru Wang;  Congxuan Zhang;  Weiming Hu
Adobe PDF(1668Kb)  |  Favorite  |  View/Download:83/9  |  Submit date:2022/04/06
Robust Texture-Aware Computer-Generated Image Forensic: Benchmark and Algorithm 期刊论文
IEEE Transactions on Image Processing, 2021, 卷号: 30, 页码: 8439-8453
Authors:  Bai, Weiming;  Zhang, Zhipeng;  Li, Bing;  Wang, Pei;  Li, Yangxi;  Zhang, Congxuan;  Hu, Weiming
Adobe PDF(4552Kb)  |  Favorite  |  View/Download:69/12  |  Submit date:2022/06/14
Refined TV-L-1 Optical Flow Estimation Using Joint Filtering 期刊论文
IEEE TRANSACTIONS ON MULTIMEDIA, 2020, 卷号: 22, 期号: 2, 页码: 349-364
Authors:  Zhang, Congxuan;  Ge, Liyue;  Chen, Zhen;  Li, Ming;  Liu, Wen;  Chen, Hao
Favorite  |  View/Download:143/0  |  Submit date:2020/04/07
Optical flow  TV-L-1 model  joint filtering  mutual-structure  edge-preserving  
LW-Net: A Lightweight Network for Monocular Depth Estimation 期刊论文
IEEE ACCESS, 2020, 卷号: 8, 页码: 196287-196298
Authors:  Feng, Cheng;  Zhang, Congxuan;  Chen, Zhen;  Li, Ming;  Chen, Hao;  Fan, Bingbing
Favorite  |  View/Download:108/0  |  Submit date:2021/01/06
Estimation  Decoding  Computational modeling  Cameras  Task analysis  Robots  Training  Monocular depth estimation  lightweight  self-supervised learning  iterative decoder  convolutional neural networks