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- Chinese Academy of SciencesCN17 papers
- Tsinghua UniversityCN17 papers
- Ministry of Industry and Information TechnologyCN16 papers
- Xi'an Jiaotong UniversityCN16 papers
- Xidian UniversityCN16 papers
- Australian National UniversityAU11 papers
- Moscow Institute of Physics and TechnologyRU11 papers
- University of Chinese Academy of SciencesCN10 papers
- Beijing Normal UniversityCN9 papers
- Nankai UniversityCN9 papers
- Centre National de la Recherche ScientifiqueFR8 papers
- Fudan UniversityCN8 papers
5 papers · 2 filters
A Perception CNN for Facial Expression Recognition
Chunwei Tian, Jingyuan Xie, Lingjun Li +3
Convolutional neural networks (CNNs) can automatically learn data patterns to express face images for facial expression recognition (FER). However, they may ignore effect of facial…
ARPGNet: Appearance- and Relation-aware Parallel Graph Attention Fusion Network for Facial Expression Recognition
Yan Li, Yong Zhao, Xiaohan Xia +1
The key to facial expression recognition is to learn discriminative spatial-temporal representations that embed facial expression dynamics. Previous studies predominantly rely on p…
Iterative pseudo-labeling based adaptive copy-paste supervision for semi-supervised tumor segmentation
Qiangguo Jin, Hui Cui, Junbo Wang +7
Semi-supervised learning (SSL) has attracted considerable attention in medical image processing. The latest SSL methods use a combination of consistency regularization and pseudo-l…
A Transfer Learning-Based Method for Water Body Segmentation in Remote Sensing Imagery: A Case Study of the Zhada Tulin Area
Haonan Chen, Xin Tong
The Tibetan Plateau, known as the Asian Water Tower, faces significant water security challenges due to its high sensitivity to climate change. Advancing Earth observation for sust…
Deep Unfolding Multi-modal Image Fusion Network via Attribution Analysis
Haowen Bai, Zixiang Zhao, Jiangshe Zhang +5
Multi-modal image fusion synthesizes information from multiple sources into a single image, facilitating downstream tasks such as semantic segmentation. Current approaches primaril…