5 citations · 10 across the 7 of their papers we have counts for
7 papers
Towards Fine-Grained Explainability for Heterogeneous Graph Neural Network
Tong Li, Jiale Deng, Yanyan Shen +3
Heterogeneous graph neural networks (HGNs) are prominent approaches to node classification tasks on heterogeneous graphs. Despite the superior performance, insights about the predi…
SAR2EO: A High-resolution Image Translation Framework with Denoising Enhancement
Jun Yu, Shenshen Du, Guochen Xie +4
Synthetic Aperture Radar (SAR) to electro-optical (EO) image translation is a fundamental task in remote sensing that can enrich the dataset by fusing information from different so…
Exploring Large-scale Unlabeled Faces to Enhance Facial Expression Recognition
Jun Yu, Zhongpeng Cai, Renda Li +4
Facial Expression Recognition (FER) is an important task in computer vision and has wide applications in human-computer interaction, intelligent security, emotion analysis, and oth…
Local Region Perception and Relationship Learning Combined with Feature Fusion for Facial Action Unit Detection
Jun Yu, Renda Li, Zhongpeng Cai +4
Human affective behavior analysis plays a vital role in human-computer interaction (HCI) systems. In this paper, we introduce our submission to the CVPR 2023 Competition on Affecti…
A Dual Branch Network for Emotional Reaction Intensity Estimation
Jun Yu, Jichao Zhu, Wangyuan Zhu +4
Emotional Reaction Intensity(ERI) estimation is an important task in multimodal scenarios, and has fundamental applications in medicine, safe driving and other fields. In this pape…
Resisting Out-of-Distribution Data Problem in Perturbation of XAI
Luyu Qiu, Yi Yang, Caleb Chen Cao +5
With the rapid development of eXplainable Artificial Intelligence (XAI), perturbation-based XAI algorithms have become quite popular due to their effectiveness and ease of implemen…
Roadmap of Designing Cognitive Metrics for Explainable Artificial Intelligence (XAI)
Janet Hui-wen Hsiao, Hilary Hei Ting Ngai, Luyu Qiu +2
More recently, Explainable Artificial Intelligence (XAI) research has shifted to focus on a more pragmatic or naturalistic account of understanding, that is, whether the stakeholde…