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Multi-threshold deep metric learning for facial expression recognition Journal article
Yang, Wenwu, Yu, Jinyi, Chen, Tuo, Liu, Zhenguang, Wang, Xun, Shen, Jianbing. Multi-threshold deep metric learning for facial expression recognition[J]. Pattern Recognition, 2024, 156, 110711.
Authors:  Yang, Wenwu;  Yu, Jinyi;  Chen, Tuo;  Liu, Zhenguang;  Wang, Xun; et al.
Favorite | TC[WOS]:0 TC[Scopus]:0  IF:7.5/7.6 | Submit date：2024/08/05
Facial Expression Recognition  Multiple Thresholds  Triplet Loss Learning  
Partial label feature selection based on noisy manifold and label distribution Journal article
Qian, Wenbin, Liu, Jiale, Yang, Wenji, Huang, Jintao, Ding, Weiping. Partial label feature selection based on noisy manifold and label distribution[J]. Pattern Recognition, 2024, 156, 110791.
Authors:  Qian, Wenbin;  Liu, Jiale;  Yang, Wenji;  Huang, Jintao;  Ding, Weiping
Favorite | TC[WOS]:1 TC[Scopus]:1  IF:7.5/7.6 | Submit date：2024/08/05
Feature Dependency  Feature Selection  Label Distribution  Manifold Learning  Partial Label Learning  
Few-shot image classification via hybrid representation Journal article
Liu, Bao Di, Shao, Shuai, Zhao, Chunyan, Xing, Lei, Liu, Weifeng, Cao, Weijia, Zhou, Yicong. Few-shot image classification via hybrid representation[J]. Pattern Recognition, 2024, 155, 110640.
Authors:  Liu, Bao Di;  Shao, Shuai;  Zhao, Chunyan;  Xing, Lei;  Liu, Weifeng; et al.
Favorite | TC[WOS]:2 TC[Scopus]:2  IF:7.5/7.6 | Submit date：2024/07/04
Few-shot Image Classification  Shared Representation  Specific Representation  
DH-GAN: Image manipulation localization via a dual homology-aware generative adversarial network Journal article
Liu, Weihuang, Cun, Xiaodong, Pun, Chi Man. DH-GAN: Image manipulation localization via a dual homology-aware generative adversarial network[J]. Pattern Recognition, 2024, 155, 110658.
Authors:  Liu, Weihuang;  Cun, Xiaodong;  Pun, Chi Man
Favorite | TC[WOS]:1 TC[Scopus]:2  IF:7.5/7.6 | Submit date：2024/07/04
Adversarial Learning  Image Manipulation Localization  Masked Convolution  Selective Atrous Pyramid  
Module-based graph pooling for graph classification Journal article
Deng, Sucheng, Yang, Geping, Yang, Yiyang, Gong, Zhiguo, Chen, Can, Chen, Xiang, Hao, Zhifeng. Module-based graph pooling for graph classification[J]. Pattern Recognition, 2024, 154, 110606.
Authors:  Deng, Sucheng;  Yang, Geping;  Yang, Yiyang;  Gong, Zhiguo;  Chen, Can; et al.
Favorite | TC[WOS]:1 TC[Scopus]:1  IF:7.5/7.6 | Submit date：2024/06/05
Graph Classification  Graph Neural Network  Graph Pooling  
Self-ensembling depth completion via density-aware consistency Journal article
Zhang, Xuanmeng, Zheng, Zhedong, Jiang, Minyue, Ye, Xiaoqing. Self-ensembling depth completion via density-aware consistency[J]. Pattern Recognition, 2024, 154, 110618.
Authors:  Zhang, Xuanmeng;  Zheng, Zhedong;  Jiang, Minyue;  Ye, Xiaoqing
Favorite | TC[WOS]:0 TC[Scopus]:1  IF:7.5/7.6 | Submit date：2024/07/04
Density-aware Consistency  Depth Completion  Semi-supervised Learning  Uncertainty Estimation  
OA-Pose: Occlusion-aware monocular 6-DoF object pose estimation under geometry alignment for robot manipulation Journal article
Wang, Jikun, Luo, Luqing, Liang, Weixiang, Yang, Zhi Xin. OA-Pose: Occlusion-aware monocular 6-DoF object pose estimation under geometry alignment for robot manipulation[J]. Pattern Recognition, 2024, 154, 110576.
Authors:  Wang, Jikun;  Luo, Luqing;  Liang, Weixiang;  Yang, Zhi Xin
Favorite | TC[WOS]:0 TC[Scopus]:3  IF:7.5/7.6 | Submit date：2024/06/05
Deep Learning  Dense Correspondence  Object Pose Estimation  Occlusion Scene  Robot Manipulation  
NTIRE 2024 Restore Any Image Model (RAIM) in the Wild Challenge Conference paper
Liang, Jie, Yi, Qiaosi, Liu, Shuaizheng, Sun, Lingchen, Zhang, Xindong, Zeng, Hui, Zhang, Lei, Timofte, Radu, Huang, Yibin, Liu, Shuai, Li, Yongqiang, Feng, Chaoyu, Wang, Xiaotao, Lei, Lei, Chen, Yuxiang, Chen, Xiangyu, Chen, Qiubo, Chen, Jiaxu, Sun, Fengyu, Cui, Mengying, Hu, Zhenyu, Liu, Jingyun, Ma, Wenzhuo, Wang, Ce, Zheng, Hanyou, Sun, Wanjie, Chen, Zhenzhong, Luo, Ziwei, Gustafsson, Fredrik K., Zhao, Zheng, Sjölund, Jens, Schön, Thomas B., Dun, Xiong, Ji, Pengzhou, Xing, Yujie, Wang, Xuquan, Wang, Zhanshan, Cheng, Xinbin, Xiao, Jun, He, Chenhang, Wang, Xiuyuan, Liu, Zhi Song, Miao, Zimeng, Yin, Zhicun, Liu, Ming, Zuo, Wangmeng, Wu, Rongyuan, Li, Shuai. NTIRE 2024 Restore Any Image Model (RAIM) in the Wild Challenge[C]:IEEE Computer Society, 2024, 6632-6640.
Authors:  Liang, Jie;  Yi, Qiaosi;  Liu, Shuaizheng;  Sun, Lingchen;  Zhang, Xindong; et al.
Favorite | TC[Scopus]:16 | Submit date：2024/11/05
Degradation  Computer Vision  Reviews  Conferences  Computational Modeling  Benchmark Testing  Image Restoration  
Robust deep fuzzy K-means clustering for image data Journal article
Wu, Xiaoling, Yu, Yu Feng, Chen, Long, Ding, Weiping, Wang, Yingxu. Robust deep fuzzy K-means clustering for image data[J]. Pattern Recognition, 2024, 153, 110504.
Authors:  Wu, Xiaoling;  Yu, Yu Feng;  Chen, Long;  Ding, Weiping;  Wang, Yingxu
Favorite | TC[WOS]:1 TC[Scopus]:2  IF:7.5/7.6 | Submit date：2024/05/16
Deep Convolutional Autoencoder  Laplacian Regularization  Locality Preserving  Unsupervised Image Clustering  
Semi-supervised vanishing point detection with contrastive learning Journal article
Yukun Wang, Shuo Gu, Yinbo Liu, KONG HUI. Semi-supervised vanishing point detection with contrastive learning[J]. Pattern Recognition, 2024, 153, 110518.
Authors:  Yukun Wang;  Shuo Gu;  Yinbo Liu;  KONG HUI
Favorite | TC[WOS]:0 TC[Scopus]:0  IF:7.5/7.6 | Submit date：2024/05/14
Vanishing Point Detection  Semi-supervised Learning  Contrastive Learning