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Learning Proposal-Aware Re-Ranking for Weakly-Supervised Temporal Action Localization 期刊论文
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY, 2024, 卷号: 34, 期号: 1, 页码: 207-220
作者:  Hu, Yufan;  Fu, Jie;  Chen, Mengyuan;  Gao, Junyu;  Dong, Jianfeng;  Fan, Bin;  Liu, Hongmin
收藏  |  浏览/下载：64/0  |  提交时间：2024/03/26
Proposals  Feature extraction  Location awareness  Videos  Measurement  Task analysis  Optimization  weakly-supervised temporal action localization  Proposal-aware reranking  
ProSpect: Prompt Spectrum for Attribute-Aware Personalization of Diffusion Models 期刊论文
ACM TRANSACTIONS ON GRAPHICS, 2023, 卷号: 42, 期号: 6, 页码: 14
作者:  Zhang, Yuxin;  Dong, Weiming;  Tang, Fan;  Huang, Nisha;  Huang, Haibin;  Ma, Chongyang;  Lee, Tong-Yee;  Deussen, Oliver;  Xu, Changsheng
收藏  |  浏览/下载：69/0  |  提交时间：2024/03/26
Image generation  Diffusion models  Attribute-aware editing  Model personalization  
A Unified Arbitrary Style Transfer Framework via Adaptive Contrastive Learning 期刊论文
ACM TRANSACTIONS ON GRAPHICS, 2023, 卷号: 42, 期号: 5, 页码: 16
作者:  Zhang, Yuxin;  Tang, Fan;  Dong, Weiming;  Huang, Haibin;  Ma, Chongyang;  Lee, Tong-Yee;  Xu, Changsheng
收藏  |  浏览/下载：146/0  |  提交时间：2023/12/21
Arbitrary style transfer  contrastive learning  style encoding  
Seeing Through Darkness: Visual Localization at Night via Weakly Supervised Learning of Domain Invariant Features 期刊论文
IEEE TRANSACTIONS ON MULTIMEDIA, 2023, 卷号: 25, 页码: 1713-1726
作者:  Fan, Bin;  Yang, Yuzhu;  Feng, Wensen;  Wu, Fuchao;  Lu, Jiwen;  Liu, Hongmin
收藏  |  浏览/下载：123/0  |  提交时间：2023/11/17
Domain invariant local features  image matching  long-term visual localization  weakly supervised learning  
Cross-Architecture Knowledge Distillation 会议论文
INTERNATIONAL JOURNAL OF COMPUTER VISION, Macau SAR, China, 2022.12.4-2022.12.8
作者:  Yufan Liu;  Jiajiong Cao;  Bing Li;  Weiming Hu;  Jingting Ding;  Liang Li
Adobe PDF(1020Kb)  |  收藏  |  浏览/下载：174/50  |  提交时间：2023/04/23
Knowledge distillation  Cross architecture  Model compression  Deep learning  
A Unified Framework for High Fidelity Face Swap and Expression Reenactment 期刊论文
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY, 2022, 卷号: 32, 期号: 6, 页码: 3673-3684
作者:  Peng, Bo;  Fan, Hongxing;  Wang, Wei;  Dong, Jing;  Lyu, Siwei
收藏  |  浏览/下载：208/0  |  提交时间：2022/07/25
Faces  Task analysis  Videos  Shape  Three-dimensional displays  Face recognition  Information integrity  Face swap  expression reenactment  3DMM  video manipulation  
A review of advances in imaging methodology in fluorescence molecular tomography 期刊论文
PHYSICS IN MEDICINE AND BIOLOGY, 2022, 卷号: 67, 期号: 10, 页码: 25
作者:  Zhang, Peng;  Ma, Chenbin;  Song, Fan;  Fan, Guangda;  Sun, Yangyang;  Feng, Youdan;  Ma, Xibo;  Liu, Fei;  Zhang, Guanglei
收藏  |  浏览/下载：224/0  |  提交时间：2022/06/10
fluorescence tomography  forward and inverse problem  ill-posedness  reconstruction method  deep learning  
EDP: An Efficient Decomposition and Pruning Scheme for Convolutional Neural Network Compression 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2021, 卷号: 32, 期号: 10, 页码: 4499-4513
作者:  Ruan, Xiaofeng;  Liu, Yufan;  Yuan, Chunfeng;  Li, Bing;  Hu, Weiming;  Li, Yangxi;  Maybank, Stephen
Adobe PDF(3625Kb)  |  收藏  |  浏览/下载：356/48  |  提交时间：2021/06/17
Data-driven  low-rank decomposition  model compression and acceleration  structured pruning  
PrGCN: Probability prediction with graph convolutional network for person re-identification 期刊论文
NEUROCOMPUTING, 2021, 卷号: 423, 页码: 57-70
作者:  Liu, Hongmin;  Xiao, Zhenzhen;  Fan, Bin;  Zeng, Hui;  Zhang, Yifan;  Jiang, Guoquan
收藏  |  浏览/下载：224/0  |  提交时间：2021/03/08
Person re-identification  Graph convolutional network  Link probability prediction  Similarity measurement  
Geometric Rectification of Document Images using Adversarial Gated Unwarping Network 期刊论文
Pattern Recognition, 2020, 卷号: 108, 期号: 108, 页码: 1-13
作者:  Xiyan Liu;  Gaofeng MENG;  Bin FAN;  Shiming Xiang;  Chunhong PAN
浏览  |  Adobe PDF(7916Kb)  |  收藏  |  浏览/下载：311/100  |  提交时间：2020/10/20
Distorted document image  Geometric rectification  Gated module  Deep learning