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Uncertainty-Aware Dual-Evidential 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: 12, 页码: 15896-15911
作者:  Chen, Mengyuan;  Gao, Junyu;  Xu, Changsheng
收藏  |  浏览/下载：18/0  |  提交时间：2024/03/26
Uncertainty  Background noise  Task analysis  Location awareness  Measurement uncertainty  Interference  Predictive models  Weakly-supervised temporal action localization  evidential deep learning  uncertainty estimation  
Vectorized Evidential 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: 12, 页码: 15949-15963
作者:  Gao, Junyu;  Chen, Mengyuan;  Xu, Changsheng
收藏  |  浏览/下载：23/0  |  提交时间：2024/03/26
Uncertainty  Location awareness  Reliability  Videos  Noise measurement  Estimation  Deep learning  Weakly-supervised learning  temporal action localization  evidential deep learning  uncertainty estimation  
GAN-Based Facial Attribute Manipulation 期刊论文
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2023, 卷号: 45, 期号: 12, 页码: 14590-14610
作者:  Liu, Yunfan;  Li, Qi;  Deng, Qiyao;  Sun, Zhenan;  Yang, Ming-Hsuan
Adobe PDF(15297Kb)  |  收藏  |  浏览/下载：41/13  |  提交时间：2024/02/22
Generative adversarial networks  image translation  facial attribute manipulation  
Exploring Explicitly Disentangled Features for Domain Generalization 期刊论文
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY, 2023, 卷号: 33, 期号: 11, 页码: 6360-6373
作者:  Li, Jingwei;  Li, Yuan;  Wang, Huanjie;  Liu, Chengbao;  Tan, Jie
收藏  |  浏览/下载：71/0  |  提交时间：2023/12/21
Domain generalization  feature disentanglement  Fourier transform  data augmentation  
PyMAF-X: Towards Well-Aligned Full-Body Model Regression From Monocular Images 期刊论文
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2023, 卷号: 45, 期号: 10, 页码: 12287-12303
作者:  Zhang, Hongwen;  Tian, Yating;  Zhang, Yuxiang;  Li, Mengcheng;  An, Liang;  Sun, Zhenan;  Liu, Yebin
收藏  |  浏览/下载：73/0  |  提交时间：2023/11/16
Expressive human mesh recovery  full-body motion capture  mesh alignment feedback  monocular 3D reconstruction  
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  
Efficient spatiotemporal context modeling for action recognition 期刊论文
NEUROCOMPUTING, 2023, 卷号: 545, 页码: 13
作者:  Cao, Congqi;  Lu, Yue;  Zhang, Yifan;  Jiang, Dongmei;  Zhang, Yanning
收藏  |  浏览/下载：77/0  |  提交时间：2023/11/17
Action recognition  Long -range context modeling  Spatiotemporal feature map  Attention module  Relation  
Visually Guided Sound Source Separation With Audio-Visual Predictive Coding 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2023, 页码: 15
作者:  Song, Zengjie;  Zhang, Zhaoxiang
收藏  |  浏览/下载：44/0  |  提交时间：2023/11/17
Feature fusion  multimodal learning  predictive coding (PC)  self-supervised learning  sound source separation  
Emotion-Aware Music Driven Movie Montage 期刊论文
JOURNAL OF COMPUTER SCIENCE AND TECHNOLOGY, 2023, 卷号: 38, 期号: 3, 页码: 540-553
作者:  Liu, Wu-Qin;  Lin, Min-Xuan;  Huang, Hai-Bin;  Ma, Chong-Yang;  Song, Yu;  Dong, Wei-Ming;  Xu, Chang-Sheng
收藏  |  浏览/下载：106/0  |  提交时间：2023/12/21
movie montage  emotion analysis  audio-visual modality  contrastive learning  
Beyond Single Reference for Training: Underwater Image Enhancement via Comparative Learning 期刊论文
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY, 2023, 卷号: 33, 期号: 6, 页码: 2561-2576
作者:  Li, Kunqian;  Wu, Li;  Qi, Qi;  Liu, Wenjie;  Gao, Xiang;  Zhou, Liqin;  Song, Dalei
收藏  |  浏览/下载：81/0  |  提交时间：2023/11/17
Training  Image enhancement  Visualization  Task analysis  Generators  Deep learning  Oceans  Underwater image enhancement  deep learning  convolutional neural network  comparative learning  blind image quality assessment