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CASIA OpenIR
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SgVA-CLIP: Semantic-Guided Visual Adapting of Vision-Language Models for Few-Shot Image Classification 期刊论文
IEEE TRANSACTIONS ON MULTIMEDIA, 2024, 卷号: 26, 页码: 3469-3480
作者:  Peng, Fang;  Yang, Xiaoshan;  Xiao, Linhui;  Wang, Yaowei;  Xu, Changsheng
收藏  |  浏览/下载：7/0  |  提交时间：2024/07/03
Few-shot  image classification  vision-language models  
CLIP-VG: Self-Paced Curriculum Adapting of CLIP for Visual Grounding 期刊论文
IEEE TRANSACTIONS ON MULTIMEDIA, 2024, 卷号: 26, 页码: 4334-4347
作者:  Xiao, Linhui;  Yang, Xiaoshan;  Peng, Fang;  Yan, Ming;  Wang, Yaowei;  Xu, Changsheng
收藏  |  浏览/下载：31/0  |  提交时间：2024/05/30
Grounding  Reliability  Adaptation models  Task analysis  Visualization  Data models  Annotations  Visual grounding  curriculum learning  pseudo-language label  and vision-language models  
Incremental Audio-Visual Fusion for Person Recognition in Earthquake Scene 期刊论文
ACM TRANSACTIONS ON MULTIMEDIA COMPUTING COMMUNICATIONS AND APPLICATIONS, 2024, 卷号: 20, 期号: 2, 页码: 19
作者:  You, Sisi;  Zuo, Yukun;  Yao, Hantao;  Xu, Changsheng
收藏  |  浏览/下载：97/0  |  提交时间：2023/12/21
Cross-modal audio-visual fusion  incremental learning  person recognition  elastic weight consolidation  feature replay  
Reducing Vision-Answer Biases for Multiple-Choice VQA 期刊论文
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2023, 卷号: 32, 页码: 4621-4634
作者:  Zhang, Xi;  Zhang, Feifei;  Xu, Changsheng
Adobe PDF(2684Kb)  |  收藏  |  浏览/下载：91/6  |  提交时间：2023/11/17
Multiple-choice VQA  vision-answer bias  causal intervention  counterfactual interaction 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, 卷号: 26, 页码: 1-15
作者:  Song, Yaguang;  Yang, Xiaoshan;  Wang, Yaowei;  Xu, Changsheng
Adobe PDF(2397Kb)  |  收藏  |  浏览/下载：201/50  |  提交时间：2023/06/12
Multi-modal Foundation Model  Out-of-Distribution Generalization  Visual Question Answering  Knowledge Distillation  
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：140/41  |  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  
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：420/6  |  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：381/75  |  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  
Towards Corruption-Agnostic Robust Domain Adaptation 期刊论文
ACM TRANSACTIONS ON MULTIMEDIA COMPUTING COMMUNICATIONS AND APPLICATIONS, 2022, 卷号: 18, 期号: 4, 页码: 16
作者:  Xu, Yifan;  Sheng, Kekai;  Dong, Weiming;  Wu, Baoyuan;  Xu, Changsheng;  Hu, Bao-Gang
Adobe PDF(2116Kb)  |  收藏  |  浏览/下载：477/101  |  提交时间：2022/06/10
Domain adaptation  corruption robustness  transfer learning  
Tell, Imagine, and Search: End-to-end Learning for Composing Text and Image to Image Retrieval 期刊论文
ACM TRANSACTIONS ON MULTIMEDIA COMPUTING COMMUNICATIONS AND APPLICATIONS, 2022, 卷号: 18, 期号: 2, 页码: 23
作者:  Zhang, Feifei;  Xu, Mingliang;  Xu, Changsheng
收藏  |  浏览/下载：234/0  |  提交时间：2022/06/10
Composing text and image to image retrieval  end-to-end  image generation  generative adversarial network  global-local