271 citations · 695 across the 25 of their papers we have counts for
7 papers · 1 filter
Self-Paced Neutral Expression-Disentangled Learning for Facial Expression Recognition
Zhenqian Wu, Xiaoyuan Li, Yazhou Ren +3
The accuracy of facial expression recognition is typically affected by the following factors: high similarities across different expressions, disturbing factors, and micro-facial m…
ViLPAct: A Benchmark for Compositional Generalization on Multimodal Human Activities
Terry Yue Zhuo, Yaqing Liao, Yuecheng Lei +5
We introduce ViLPAct, a novel vision-language benchmark for human activity planning. It is designed for a task where embodied AI agents can reason and forecast future actions of hu…
Self-Paced Deep Regression Forests with Consideration of Ranking Fairness
Lili Pan, Mingming Meng, Yazhou Ren +2
Deep discriminative models (DDMs), e.g. deep regression forests and deep decision forests, have been extensively studied recently to solve problems such as facial age estimation, h…
Multi-VAE: Learning Disentangled View-common and View-peculiar Visual Representations for Multi-view Clustering
Jie Xu, Yazhou Ren, Huayi Tang +4
Multi-view clustering, a long-standing and important research problem, focuses on mining complementary information from diverse views. However, existing works often fuse multiple v…
Lesion-Inspired Denoising Network: Connecting Medical Image Denoising and Lesion Detection
Kecheng Chen, Kun Long, Yazhou Ren +2
Deep learning has achieved notable performance in the denoising task of low-quality medical images and the detection task of lesions, respectively. However, existing low-quality me…
Self-Paced Deep Regression Forests with Consideration on Underrepresented Examples
Lili Pan, Shijie Ai, Yazhou Ren +1
Deep discriminative models (e.g. deep regression forests, deep neural decision forests) have achieved remarkable success recently to solve problems such as facial age estimation an…
Self-Paced Deep Regression Forests for Facial Age Estimation
Shijie Ai, Lili Pan, Yazhou Ren
Facial age estimation is an important and challenging problem in computer vision. Existing approaches usually employ deep neural networks (DNNs) to fit the mapping from facial feat…