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:
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:434/8  |  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:394/78  |  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  
Practical Face Swapping Detection Based on Identity Spatial Constraints 会议论文
, 中国广东省深圳市+线上, 2021-8-4至2021-8-7
作者:  Jiang J(姜君);  Wang B(王博);  Li B(李兵);  Hu WM(胡卫明)
Adobe PDF(2496Kb)  |  收藏  |  浏览/下载:247/53  |  提交时间:2022/01/10
Partial NIR-VIS Heterogeneous Face Recognition With Automatic Saliency Search 期刊论文
IEEE TRANSACTIONS ON INFORMATION FORENSICS AND SECURITY, 2021, 卷号: 16, 页码: 5003-5017
作者:  Luo, Mandi;  Ma, Xin;  Li, Zhihang;  Cao, Jie;  He, Ran
Adobe PDF(4346Kb)  |  收藏  |  浏览/下载:334/67  |  提交时间:2021/12/28
Face recognition  Task analysis  Visualization  Image recognition  Lighting  Feature extraction  Training  Heterogeneous face recognition  near infrared-visible matching  information bottleneck  neural architecture search  
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:362/72  |  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:362/49  |  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  
A Unified Generative Adversarial Framework for Image Generation and Person Re-identification 会议论文
ACM Multimedia Conference (MM 18), Seoul, Republic of Korea, October 22–26, 2018
作者:  Li, Yaoyu;  Zhang, Tianzhu;  Duan, Lingyu;  Xu, Changsheng
Adobe PDF(3314Kb)  |  收藏  |  浏览/下载:218/64  |  提交时间:2021/06/22
Person Re-identification  Multimedia System  GAN  
Richly Activated Graph Convolutional Network for Robust Skeleton-Based Action Recognition 期刊论文
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY, 2021, 卷号: 31, 期号: 5, 页码: 1915-1925
作者:  Song, Yi-Fan;  Zhang, Zhang;  Shan, Caifeng;  Wang, Liang
Adobe PDF(3381Kb)  |  收藏  |  浏览/下载:434/71  |  提交时间:2021/06/15
Skeleton  Robustness  Noise measurement  Three-dimensional displays  Degradation  Standards  Feature extraction  Action recognition  skeleton  activation map  graph convolutional network  occlusion  jittering  
Composing Good Shots by Exploiting Mutual Relations 会议论文
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2020, Virtual, 14-19, June, 2020
作者:  Li, Debang;  Zhang, Junge;  Huang, Kaiqi;  Yang, Ming-Hsuan
Adobe PDF(628Kb)  |  收藏  |  浏览/下载:227/67  |  提交时间:2021/05/31
A2-RL: Aesthetics Aware Reinforcement Learning for Image Cropping 会议论文
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2018, Salt Lake City, UT, USA, 18-23 June 2018
作者:  Li, Debang;  Wu, Huikai;  Zhang, Junge;  Huang, Kaiqi
Adobe PDF(750Kb)  |  收藏  |  浏览/下载:211/52  |  提交时间:2021/05/31