CASIA OpenIR

浏览/检索结果: 共11条,第1-10条 帮助

限定条件        
已选(0)清除 条数/页:   排序方式:
CM-MaskSD: Cross-Modality Masked Self-Distillation for Referring Image Segmentation 期刊论文
IEEE TRANSACTIONS ON MULTIMEDIA, 2024, 卷号: 26, 页码: 6906-6916
作者:  Wang, Wenxuan;  He, Xingjian;  Zhang, Yisi;  Guo, Longteng;  Shen, Jiachen;  Li, Jiangyun;  Liu, Jing
收藏  |  浏览/下载:2/0  |  提交时间:2024/07/03
Referring image segmentation  cross-modality guidance  masked self-distillation  vision and language  
Illumination Guided Attentive Wavelet Network for Low-Light Image Enhancement 期刊论文
IEEE TRANSACTIONS ON MULTIMEDIA, 2023, 卷号: 25, 页码: 6258-6271
作者:  Xu, Jingzhao;  Yuan, Mengke;  Yan, Dong-Ming;  Wu, Tieru
收藏  |  浏览/下载:54/0  |  提交时间:2024/02/22
Lighting  Wavelet transforms  Image enhancement  Frequency modulation  Wavelet coefficients  Noise reduction  Discrete wavelet transforms  Attention mechanism  illumination guidance  low-light image enhancement  wavelet transform  
Zero-Shot Predicate Prediction for Scene Graph Parsing 期刊论文
IEEE TRANSACTIONS ON MULTIMEDIA, 2023, 卷号: 25, 页码: 3140-3153
作者:  Li, Yiming;  Yang, Xiaoshan;  Huang, Xuhui;  Ma, Zhe;  Xu, Changsheng
收藏  |  浏览/下载:162/0  |  提交时间:2023/11/17
Deep learning  zero-shot  scene graph  
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:167/22  |  提交时间:2023/11/17
Human parsing  modeling  part-aware relation  
Seeing Through Darkness: Visual Localization at Night via Weakly Supervised Learning of Domain Invariant Features 期刊论文
IEEE TRANSACTIONS ON MULTIMEDIA, 2023, 卷号: 25, 页码: 1713-1726
作者:  Fan, Bin;  Yang, Yuzhu;  Feng, Wensen;  Wu, Fuchao;  Lu, Jiwen;  Liu, Hongmin
收藏  |  浏览/下载:118/0  |  提交时间:2023/11/17
Domain invariant local features  image matching  long-term visual localization  weakly supervised learning  
Explicit Cross-Modal Representation Learning for Visual Commonsense Reasoning 期刊论文
IEEE TRANSACTIONS ON MULTIMEDIA, 2022, 卷号: 24, 页码: 2986-2997
作者:  Zhang, Xi;  Zhang, Feifei;  Xu, Changsheng
Adobe PDF(5681Kb)  |  收藏  |  浏览/下载:407/3  |  提交时间:2022/07/25
Cognition  Video recording  Syntactics  Visualization  Task analysis  Semantics  Linguistics  Visual Commonsense Reasoning  explicit reasoning  syntactic structure  interpretability  
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:369/74  |  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  
Unsupervised Video Summarization via Relation-Aware Assignment Learning 期刊论文
IEEE TRANSACTIONS ON MULTIMEDIA, 2021, 卷号: 23, 页码: 3203-3214
作者:  Gao, Junyu;  Yang, Xiaoshan;  Zhang, Yingying;  Xu, Changsheng
Adobe PDF(3649Kb)  |  收藏  |  浏览/下载:344/67  |  提交时间:2021/11/03
Feature extraction  Training  Optimization  Semantics  Recurrent neural networks  Task analysis  Graph neural network  unsupervised learning  video summarization  
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:354/47  |  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  
Joint Learning in the Spatio-Temporal and Frequency Domains for Skeleton-Based Action Recognition 期刊论文
IEEE TRANSACTIONS ON MULTIMEDIA, 2020, 卷号: 22, 期号: 9, 页码: 2207-2220
作者:  Guyue, Hu;  Bo, Cui;  Shan, Yu
Adobe PDF(4803Kb)  |  收藏  |  浏览/下载:331/65  |  提交时间:2020/09/28
Skeleton-based Action Recognition  Frequency Attention  Synchronous Local and Non-local Learning  Soft-margin Focal Loss  Pesudo Multi-task Learning