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CASIA OpenIR
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Understanding and Mitigating Overfitting in Prompt Tuning for Vision-Language Models 期刊论文
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY, 2023, 卷号: 33, 期号: 9, 页码: 4616-4629
作者:  Ma, Chengcheng;  Liu, Yang;  Deng, Jiankang;  Xie, Lingxi;  Dong, Weiming;  Xu, Changsheng
Adobe PDF(1644Kb)  |  收藏  |  浏览/下载：92/12  |  提交时间：2023/11/16
Vision-language model  prompt tuning  over-fitting  subspace learning  gradient projection  
Learning Hierarchical Video Graph Networks for One-Stop Video Delivery 期刊论文
ACM Transactions on Multimedia Computing, Communications, and Applications, 2022, 卷号: 18, 期号: 1, 页码: 1-23
作者:  Song, Yaguang;  Gao, Junyu;  Yang, Xiaoshan;  Xu, Changsheng
Adobe PDF(7608Kb)  |  收藏  |  浏览/下载：132/40  |  提交时间：2023/04/25
Cross modal  video retrieval  deep learning  graph neural networks  
Health Status Prediction with Local-Global Heterogeneous Behavior Graph 期刊论文
ACM Transactions on Multimedia Computing Communications and Applications, 2021, 卷号: 0, 期号: 0, 页码: 0
作者:  Ma, Xuan;  Yang, Xiaoshan;  Gao, Junyu;  Xu, Changsheng
Adobe PDF(1170Kb)  |  收藏  |  浏览/下载：223/62  |  提交时间：2021/06/16
Health Status Prediction  Graph Neural Networks  Individual Behavior  
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：306/42  |  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  
Weakly-Supervised Video Object Grounding via Stable Context Learning 会议论文
, New York, USA, 2021-10-20
作者:  Wang, Wei;  Gao, Junyu;  Xu, Changsheng
Adobe PDF(2062Kb)  |  收藏  |  浏览/下载：45/20  |  提交时间：2023/04/25
Part-based Structured Representation Learning for Person Re-identification 期刊论文
ACM TRANSACTIONS ON MULTIMEDIA COMPUTING COMMUNICATIONS AND APPLICATIONS, 2020, 卷号: 16, 期号: 4, 页码: 22
作者:  Li, Yaoyu;  Yao, Hantao;  Zhang, Tianzhu;  Xu, Changsheng
Adobe PDF(19052Kb)  |  收藏  |  浏览/下载：263/35  |  提交时间：2021/03/08
Person re-identification  representation learning  graph convolutional network  
Deep Multi-Modality Adversarial Networks for Unsupervised Domain Adaptation 期刊论文
IEEE TRANSACTIONS ON MULTIMEDIA, 2019, 卷号: 21, 期号: 9, 页码: 2419-2431
作者:  Ma, Xinhong;  Zhang, Tianzhu;  Xu, Changsheng
Adobe PDF(2142Kb)  |  收藏  |  浏览/下载：324/41  |  提交时间：2019/12/16
Unsupervised domain adaptation  triplet loss  stacked attention  multi-modality  social event recognition  
SMART: Joint Sampling and Regression for Visual Tracking 期刊论文
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2019, 卷号: 28, 期号: 8, 页码: 3923-3935
作者:  Gao, Junyu;  Zhang, Tianzhu;  Xu, Changsheng
浏览  |  Adobe PDF(9244Kb)  |  收藏  |  浏览/下载：321/40  |  提交时间：2019/09/30
Visual tracking  deep learning  sampling and regression  
GCAN: Graph Convolutional Adversarial Network for Unsupervised Domain Adaptation 会议论文
IEEE Conference on Computer Vision and Pattern Recognition, Long Beach, CA, USA, JUN 16-20, 2019
作者:  Ma, Xinhong;  Zhang, Tianzhu;  Xu, Changsheng
Adobe PDF(7239Kb)  |  收藏  |  浏览/下载：183/36  |  提交时间：2022/06/14
Graph Convolutional Tracking 会议论文
, Long Beach, USA, 2019-6
作者:  Gao, Junyu;  Zhang, Tianzhu;  Xu, Changsheng
浏览  |  Adobe PDF(1645Kb)  |  收藏  |  浏览/下载：265/95  |  提交时间：2020/06/11