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CASIA OpenIR
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TENET: Beyond Pseudo-Labeling for Semi-supervised Few-shot Learning 期刊论文
Machine Intelligence Research, 2023, 页码: 0
作者:  Ma CC(马成丞);  Dong WM(董未名);  Xu CS(徐常胜)
Adobe PDF(741Kb)  |  收藏  |  浏览/下载：108/24  |  提交时间：2024/01/29
Semi-supervised few-shot learning  few-shot learning  pseudo-labeling  linear regression  low-rank reconstruction  
Dual Instance-Consistent Network for Cross-Domain Object Detection 期刊论文
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2023, 卷号: 45, 期号: 6, 页码: 7338-7352
作者:  Jiao, Yifan;  Yao, Hantao;  Xu, Changsheng
收藏  |  浏览/下载：37/0  |  提交时间：2023/11/17
Feature extraction  Object detection  Detectors  Visualization  Proposals  Head  Task analysis  Cross-domain object detection  domain-specific description  dual instance-consistent network  
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：103/15  |  提交时间：2023/11/16
Vision-language model  prompt tuning  over-fitting  subspace learning  gradient projection  
Semantic and Temporal Contextual Correlation Learning for Weakly-Supervised Temporal Action Localization 期刊论文
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2023, 卷号: 45, 期号: 10, 页码: 12427-12443
作者:  Fu, Jie;  Gao, Junyu;  Xu, Changsheng
收藏  |  浏览/下载：73/0  |  提交时间：2023/11/16
Weakly-supervised  video  action localization  semantic  temporal context  correlation learning  
Multimodal Global Relation Knowledge Distillation for Egocentric Action Anticipation 会议论文
MM '21: Proceedings of the 29th ACM International Conference on Multimedia, Chengdu, China, 2021.10.20—2021.10.24
作者:  Huang Yi;  Yang Xiaoshan;  Xu Changsheng
Adobe PDF(1162Kb)  |  收藏  |  浏览/下载：158/63  |  提交时间：2023/06/21
Self-supervised Calorie-aware Heterogeneous Graph Networks for Food Recommendation 期刊论文
ACM Transactions on Multimedia Computing, Communications, and Applications, 2023, 卷号: 19, 期号: 1s, 页码: 1-23
作者:  Song, Yaguang;  Yang, Xiaoshan;  Xu, Changsheng
Adobe PDF(1381Kb)  |  收藏  |  浏览/下载：178/59  |  提交时间：2023/06/12
Food recommendation  recipe calories  heterogeneous graph  selfsupervised learning  
Recovering Generalization via Pre-training-like Knowledge Distillation for Out-of-Distribution Visual Question Answering 期刊论文
IEEE Transactions on Multimedia, 2023, 页码: 1-15
作者:  Song, Yaguang;  Yang, Xiaoshan;  Wang, Yaowei;  Xu, Changsheng
Adobe PDF(2397Kb)  |  收藏  |  浏览/下载：169/45  |  提交时间：2023/06/12
Multi-modal Foundation Model  Out-of-Distribution Generalization  Visual Question Answering  Knowledge Distillation  
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：140/41  |  提交时间：2023/04/25
Cross modal  video retrieval  deep learning  graph neural networks  
Weakly-Supervised Video Object Grounding Via Learning Uni-Modal Associations 期刊论文
IEEE Transactions on Multimedia, 2022, 卷号: 25, 页码: 1-12
作者:  Wang, Wei;  Gao, Junyu;  Xu, Changsheng
Adobe PDF(5406Kb)  |  收藏  |  浏览/下载：97/28  |  提交时间：2023/04/25
Visualization  Grounding  Task analysis  Prototypes  Annotations  Uncertainty  Proposals  Cross-modal retrieval  weakly-supervised learning  video object grounding  uni-modal association  
Exploring the Temporal Consistency of Arbitrary Style Transfer: A Channelwise Perspective 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2023, 页码: 15
作者:  Kong, Xiaoyu;  Deng, Yingying;  Tang, Fan;  Dong, Weiming;  Ma, Chongyang;  Chen, Yongyong;  He, Zhenyu;  Xu, Changsheng
收藏  |  浏览/下载：149/0  |  提交时间：2023/03/20
Correlation  Task analysis  Optical imaging  Integrated optics  Lighting  Optical fiber networks  Image reconstruction  Arbitrary stylization  channel correlation  cross-domain  feature migration