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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
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View/Download:26/0
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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
SIGNAL PROCESSING-IMAGE COMMUNICATION, 2022, 卷号: 101, 页码: 14
Authors:
Zhang, Congxuan
;
Feng, Cheng
;
Chen, Zhen
;
Hu, Weiming
;
Li, Ming
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View/Download:70/0
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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)
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View/Download:83/9
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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)
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View/Download:69/12
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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
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View/Download:143/0
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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
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View/Download:108/0
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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