CASIA OpenIR

浏览/检索结果: 共25条,第1-10条 帮助

限定条件    
已选(0)清除 条数/页:   排序方式:
SMNet: Synchronous Multi-Scale Low Light Enhancement Network With Local and Global Concern 期刊论文
IEEE TRANSACTIONS ON MULTIMEDIA, 2023, 卷号: 25, 页码: 9506-9517
作者:  Lin, Shideng;  Tang, Fan;  Dong, Weiming;  Pan, Xingjia;  Xu, Changsheng
收藏  |  浏览/下载:36/0  |  提交时间:2024/02/21
Low-light image enhancement  multi-scale feature learning  deep-learning  
Human Parsing With Part-Aware Relation Modeling 期刊论文
IEEE TRANSACTIONS ON MULTIMEDIA, 2022, 卷号: 25, 页码: 2601-2612
作者:  Zhang, Xiaomei;  Chen, Yingying;  Tang, Ming;  Wang, Jinqiao;  Zhu, Xiangyu;  Lei, Zhen
Adobe PDF(6053Kb)  |  收藏  |  浏览/下载:144/17  |  提交时间:2023/11/17
Human parsing  modeling  part-aware relation  
Progressive Context-Aware Graph Feature Learning for Target Re-Identification 期刊论文
IEEE TRANSACTIONS ON MULTIMEDIA, 2023, 卷号: 25, 页码: 1230-1242
作者:  Cao, Min;  Ding, Cong;  Chen, Chen;  Dou, Hao;  Hu, Xiyuan;  Yan, Junchi
收藏  |  浏览/下载:147/0  |  提交时间:2023/11/16
Target re-identification  graph convolutional network  feature learning  contextual information  graph feature learning  
Holographic Feature Learning of Egocentric-Exocentric Videos for Multi-Domain Action Recognition 期刊论文
IEEE TRANSACTIONS ON MULTIMEDIA, 2022, 卷号: 24, 页码: 2273-2286
作者:  Huang, Yi;  Yang, Xiaoshan;  Gao, Junyun;  Xu, Changsheng
Adobe PDF(2409Kb)  |  收藏  |  浏览/下载:355/71  |  提交时间:2022/07/25
Videos  Feature extraction  Visualization  Task analysis  Computational modeling  Target recognition  Prototypes  Egocentric videos  exocentric videos  holographic feature  multi-domain  action recognition  
Instance GNN: A Learning Framework for Joint Symbol Segmentation and Recognition in Online Handwritten Diagrams 期刊论文
IEEE TRANSACTIONS ON MULTIMEDIA, 2022, 卷号: 24, 页码: 2580-2594
作者:  Yun, Xiao-Long;  Zhang, Yan-Ming;  Yin, Fei;  Liu, Cheng-Lin
收藏  |  浏览/下载:277/0  |  提交时间:2022/07/25
Handwriting recognition  Task analysis  Grammar  Semantics  Image segmentation  Trajectory  Text recognition  Online handwritten diagram recognition  symbol segmentation  symbol recognition  freehand sketch analysis  graph neural networks  
Single-Image Specular Highlight Removal via Real-World Dataset Construction 期刊论文
IEEE TRANSACTIONS ON MULTIMEDIA, 2021, 页码: 12
作者:  Wu ZQ(吴仲琦);  Zhuang CQ(庄传青);  Shi J(石剑);  Guo JW(郭建伟);  Xiao J(肖俊);  Zhang XP(张晓鹏);  Yan DM(严冬明)
Adobe PDF(49307Kb)  |  收藏  |  浏览/下载:251/97  |  提交时间:2022/06/15
Specular highlight removal, PSD-Dataset, Deep learning  
Capturing Relevant Context for Visual Tracking 期刊论文
IEEE TRANSACTIONS ON MULTIMEDIA, 2021, 卷号: 23, 页码: 4232-4244
作者:  Zhang, Yuping;  Ma, Bo;  Wu, Jiahao;  Huang, Lianghua;  Shen, Jianbing
收藏  |  浏览/下载:139/0  |  提交时间:2021/12/28
Local neighborhood graph  long-range dependencies  long-term tracking  visual object tracking  
Learning Coarse-to-Fine Graph Neural Networks for Video-Text Retrieval 期刊论文
IEEE TRANSACTIONS ON MULTIMEDIA, 2021, 卷号: 23, 页码: 2386-2397
作者:  Wang, Wei;  Gao, Junyu;  Yang, Xiaoshan;  Xu, Changsheng
Adobe PDF(2165Kb)  |  收藏  |  浏览/下载:338/45  |  提交时间:2021/11/02
Feature extraction  Encoding  Task analysis  Semantics  Data models  Cognition  Focusing  Video-text retrieval  graph neural network  coarse-to-fine strategy  
Progressive Bilateral-Context Driven Model for Post-Processing Person Re-Identification 期刊论文
IEEE TRANSACTIONS ON MULTIMEDIA, 2021, 卷号: 23, 页码: 1239-1251
作者:  Cao, Min;  Chen, Chen;  Dou, Hao;  Hu, Xiyuan;  Peng, Silong;  Kuijper, Arjan
收藏  |  浏览/下载:273/0  |  提交时间:2021/06/07
Probes  Feature extraction  Computational complexity  Visualization  Manifolds  Context modeling  Training  Contextual information  person re-identification  post-processing  
WiderPerson: A Diverse Dataset for Dense Pedestrian Detection in the Wild 期刊论文
IEEE TRANSACTIONS ON MULTIMEDIA, 2020, 卷号: 22, 期号: 2, 页码: 380-393
作者:  Zhang, Shifeng;  Xie, Yiliang;  Wan, Jun;  Xia, Hansheng;  Li, Stan Z.;  Guo, Guodong
浏览  |  Adobe PDF(6651Kb)  |  收藏  |  浏览/下载:333/55  |  提交时间:2020/04/07
Benchmark testing  Detectors  Training  Urban areas  Cameras  Task analysis  Deep learning  Pedestrian detection  dataset  rich diversity  high density