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A2Pt : Anti-Associative Prompt Tuning for Open Set Visual Recognition 期刊论文
IEEE TRANSACTIONS ON MULTIMEDIA, 2024, 卷号: 26, 页码: 8419-8431
作者:  Ren, Hairui;  Tang, Fan;  Pan, Xingjia;  Cao, Juan;  Dong, Weiming;  Lin, Zhiwen;  Yan, Ke;  Xu, Changsheng
收藏  |  浏览/下载：2/0  |  提交时间：2024/12/06
Tuning  Neck  Task analysis  Image recognition  Calibration  Visualization  Training  Multi-modality Pre-trained models (PTMs)  open set recognition (OSR)  class-aware representation  anti-associative prompt tuning (A(2)Pt)  
Cross Modal Compression With Variable Rate Prompt 期刊论文
IEEE TRANSACTIONS ON MULTIMEDIA, 2024, 卷号: 26, 页码: 3444-3456
作者:  Gao, Junlong;  Li, Jiguo;  Jia, Chuanmin;  Wang, Shanshe;  Ma, Siwei;  Gao, Wen
收藏  |  浏览/下载：12/0  |  提交时间：2024/05/20
Cross modal compression  semantic fidelity  variable rate prompt  
Domain-Aware Graph Network for Bridging Multi-Source Domain Adaptation 期刊论文
IEEE TRANSACTIONS ON MULTIMEDIA, 2024, 卷号: 26, 页码: 7210-7224
作者:  Yuan, Jin;  Hou, Feng;  Yang, Ying;  Zhang, Yang;  Shi, Zhongchao;  Geng, Xin;  Fan, Jianping;  He, Zhiqiang;  Rui, Yong
收藏  |  浏览/下载：1/0  |  提交时间：2024/12/06
Task analysis  Feature extraction  Graph neural networks  Adaptation models  Self-supervised learning  Multitasking  Image color analysis  Multi-source domain adaptation  self-supervised learning  graph neural network  real-world applications  
3D Face Reconstruction and Gaze Tracking in the HMD for Virtual Interaction 期刊论文
IEEE TRANSACTIONS ON MULTIMEDIA, 2023, 卷号: 25, 页码: 3166-3179
作者:  Chen, Shu-Yu;  Lai, Yu-Kun;  Xia, Shihong;  Rosin, Paul L.;  Gao, Lin
收藏  |  浏览/下载：15/0  |  提交时间：2023/12/04
Communication  eye tracking  head-mounted display  real-time facial performance capture  user interaction  virtual reality  
Viewpoint Alignment and Discriminative Parts Enhancement in 3D Space for Vehicle ReID 期刊论文
IEEE TRANSACTIONS ON MULTIMEDIA, 2023, 卷号: 25, 页码: 2954-2965
作者:  Meng, Dechao;  Li, Liang;  Liu, Xuejing;  Gao, Lin;  Huang, Qingming
收藏  |  浏览/下载：15/0  |  提交时间：2023/12/04
3D reconstruction  feature enhancement  vehicle ReID  viewpoint alignment  
Person Search by a Bi-Directional Task-Consistent Learning Model 期刊论文
IEEE TRANSACTIONS ON MULTIMEDIA, 2023, 卷号: 25, 页码: 1190-1203
作者:  Wang, Cheng;  Ma, Bingpeng;  Chang, Hong;  Shan, Shiguang;  Chen, Xilin
收藏  |  浏览/下载：16/0  |  提交时间：2023/12/04
Task analysis  Detectors  Training  Robustness  Proposals  Feature extraction  Cameras  Deep neural networks  Person search  
STAM: A SpatioTemporal Attention Based Memory for Video Prediction 期刊论文
IEEE TRANSACTIONS ON MULTIMEDIA, 2023, 卷号: 25, 页码: 2354-2367
作者:  Chang, Zheng;  Zhang, Xinfeng;  Wang, Shanshe;  Ma, Siwei;  Gao, Wen
收藏  |  浏览/下载：14/0  |  提交时间：2023/12/04
Global spatiotemporal information  spatio temporal receptive field  3D convolutional neural network  spatiotemporal attention  sequence learning  video prediction  
I3N: Intra- and Inter-Representation Interaction Network for Change Captioning 期刊论文
IEEE TRANSACTIONS ON MULTIMEDIA, 2023, 卷号: 25, 页码: 8828-8841
作者:  Yue, Shengbin;  Tu, Yunbin;  Li, Liang;  Yang, Ying;  Gao, Shengxiang;  Yu, Zhengtao
收藏  |  浏览/下载：9/0  |  提交时间：2024/05/20
Change captioning  geometry-semantic interaction refining  hierarchical representation interaction  intra- and inter- representation interaction  
Focus and Align: Learning Tube Tokens for Video-Language Pre-Training 期刊论文
IEEE TRANSACTIONS ON MULTIMEDIA, 2023, 卷号: 25, 页码: 8036-8050
作者:  Zhu, Yongqing;  Li, Xiangyang;  Zheng, Mao;  Yang, Jiahao;  Wang, Zihan;  Guo, Xiaoqian;  Chai, Zifeng;  Yuan, Yuchen;  Jiang, Shuqiang
收藏  |  浏览/下载：11/0  |  提交时间：2024/05/20
Electron tubes  Semantics  Visualization  Feature extraction  Task analysis  Transformers  Detectors  Local alignment mechanism  semantic centers  tube tokens  video-language pre-training  
SMNet: Synchronous Multi-Scale Low Light Enhancement Network With Local and Global Concern 期刊论文
IEEE TRANSACTIONS ON MULTIMEDIA, 2023, 卷号: 25, 页码: 9506-9517
作者:  Lin, Shideng;  Tang, Fan;  Dong, Weiming;  Pan, Xingjia;  Xu, Changsheng
收藏  |  浏览/下载：9/0  |  提交时间：2024/05/20
Low-light image enhancement  multi-scale feature learning  deep-learning