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Enhancing Face Recognition With Detachable Self-Supervised Bypass Networks 期刊论文
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2024, 卷号: 33, 页码: 1588-1599
作者:  He, Mingjie;  Zhang, Jie;  Shan, Shiguang;  Chen, Xilin
收藏  |  浏览/下载：2/0  |  提交时间：2024/05/20
Face recognition  Task analysis  Three-dimensional displays  Training  Supervised learning  Self-supervised learning  Image reconstruction  bypass enhanced representation learning  3D reconstruction bypass  blind inpainting bypass  
Ingredient Prediction via Context Learning Network With Class-Adaptive Asymmetric Loss 期刊论文
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2023, 卷号: 32, 页码: 5509-5523
作者:  Luo, Mengjiang;  Min, Weiqing;  Wang, Zhiling;  Song, Jiajun;  Jiang, Shuqiang
收藏  |  浏览/下载：8/0  |  提交时间：2023/12/04
Ingredient prediction  multi-label classification  deep learning  
Contrastive Learning of Person-Independent Representations for Facial Action Unit Detection 期刊论文
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2023, 卷号: 32, 页码: 3212-3225
作者:  Li, Yong;  Shan, Shiguang
收藏  |  浏览/下载：7/0  |  提交时间：2023/12/04
Gold  Videos  Training  Image reconstruction  Feature extraction  Faces  Task analysis  Facial action unit detection  contrastive Learning  self-supervised learning  person-independent action unit detection  
CMOS-GAN: Semi-Supervised Generative Adversarial Model for Cross-Modality Face Image Synthesis 期刊论文
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2023, 卷号: 32, 页码: 144-158
作者:  Yu, Shikang;  Han, Hu;  Shan, Shiguang;  Chen, Xilin
收藏  |  浏览/下载：13/0  |  提交时间：2023/07/12
Cross-modality synthesis  semi-supervised synthesis  cross-modality face recognition  generative adversarial networks  
SODAR: Exploring Locally Aggregated Learning of Mask Representations for Instance Segmentation 期刊论文
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2022, 卷号: 31, 页码: 839-851
作者:  Wang, Tao;  Liew, Jun Hao;  Li, Yu;  Chen, Yunpeng;  Feng, Jiashi
收藏  |  浏览/下载：18/0  |  提交时间：2022/12/07
Computer architecture  Microprocessors  Image segmentation  Convolution  Predictive models  Shape  Computational modeling  Instance segmentation  object detection  one-stage  feature aggregation  mask representation  
Graph Jigsaw Learning for Cartoon Face Recognition 期刊论文
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2022, 卷号: 31, 页码: 3961-3972
作者:  Li, Yong;  Lao, Lingjie;  Cui, Zhen;  Shan, Shiguang;  Yang, Jian
收藏  |  浏览/下载：22/0  |  提交时间：2022/12/07
Face recognition  Shape  Training  Image color analysis  Layout  Convolutional neural networks  Task analysis  Cartoon face recognition  jigsaw solving  graph convolutional network  self-supervised learning  
Plant Disease Recognition: A Large-Scale Benchmark Dataset and a Visual Region and Loss Reweighting Approach 期刊论文
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2021, 卷号: 30, 页码: 2003-2015
作者:  Liu, Xinda;  Min, Weiqing;  Mei, Shuhuan;  Wang, Lili;  Jiang, Shuqiang
收藏  |  浏览/下载：35/0  |  提交时间：2021/12/01
Diseases  Agriculture  Plants (biology)  Visualization  Image recognition  Feature extraction  Medical diagnosis  Plant disease recognition  fine-grained visual classification  reweighting approach  feature aggregation  
Confidence-Based Large-Scale Dense Multi-View Stereo 期刊论文
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2020, 卷号: 29, 页码: 7176-7191
作者:  Li, Zhaoxin;  Zuo, Wangmeng;  Wang, Zhaoqi;  Zhang, Lei
收藏  |  浏览/下载：39/0  |  提交时间：2020/12/10
Multi-view stereo  confidence  large-scale  interpolation  static and dynamic guidance  refinement  
Multi-Domain and Multi-Task Learning for Human Action Recognition 期刊论文
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2019, 卷号: 28, 期号: 2, 页码: 853-867
作者:  Liu, An-An;  Xu, Ning;  Nie, Wei-Zhi;  Su, Yu-Ting;  Zhang, Yong-Dong
收藏  |  浏览/下载：81/0  |  提交时间：2019/04/03
Domain-invariant Learning  multi-task learning  human action recognition  
Spatial Pyramid Covariance-Based Compact Video Code for Robust Face Retrieval in TV-Series 期刊论文
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2016, 卷号: 25, 期号: 12, 页码: 5905-5919
作者:  Li, Yan;  Wang, Ruiping;  Cui, Zhen;  Shan, Shiguang;  Chen, Xilin
收藏  |  浏览/下载：40/0  |  提交时间：2019/12/13
Face video retrieval  covariance matrix  spatial pyramid covariance  compact video code  binary code learning