162 citations · 173 across the 10 of their papers we have counts for
7 papers · 1 filter
Exploring Expression-related Self-supervised Learning for Affective Behaviour Analysis
Fanglei Xue, Yifan Sun, Yi Yang
This paper explores an expression-related self-supervised learning (SSL) method (ContraWarping) to perform expression classification in the 5th Affective Behavior Analysis in-the-w…
Unsupervised Facial Expression Representation Learning with Contrastive Local Warping
Fanglei Xue, Yifan Sun, Yi Yang
This paper investigates unsupervised representation learning for facial expression analysis. We think Unsupervised Facial Expression Representation (UFER) deserves exploration and…
TransMatting: Tri-token Equipped Transformer Model for Image Matting
Huanqia Cai, Fanglei Xue, Lele Xu +1
Image matting aims to predict alpha values of elaborate uncertainty areas of natural images, like hairs, smoke, and spider web. However, existing methods perform poorly when faced…
Vision Transformer with Attentive Pooling for Robust Facial Expression Recognition
Fanglei Xue, Qiangchang Wang, Zichang Tan +2
Facial Expression Recognition (FER) in the wild is an extremely challenging task. Recently, some Vision Transformers (ViT) have been explored for FER, but most of them perform infe…
TransMatting: Enhancing Transparent Objects Matting with Transformers
Huanqia Cai, Fanglei Xue, Lele Xu +1
Image matting refers to predicting the alpha values of unknown foreground areas from natural images. Prior methods have focused on propagating alpha values from known to unknown re…
Coarse-to-Fine Cascaded Networks with Smooth Predicting for Video Facial Expression Recognition
Fanglei Xue, Zichang Tan, Yu Zhu +2
Facial expression recognition plays an important role in human-computer interaction. In this paper, we propose the Coarse-to-Fine Cascaded network with Smooth Predicting (CFC-SP) t…
TransFER: Learning Relation-aware Facial Expression Representations with Transformers
Fanglei Xue, Qiangchang Wang, Guodong Guo
Facial expression recognition (FER) has received increasing interest in computer vision. We propose the TransFER model which can learn rich relation-aware local representations. It…