Emotional Reaction Intensity Estimation Based on Multimodal Data

no code implementations • 16 Mar 2023 • Shangfei Wang, Jiaqiang Wu, Feiyi Zheng, Xin Li, XueWei Li, Suwen Wang, Yi Wu, Yanan Chang, Xiangyu Miao

In this paper, 1. better features are extracted with the SOTA pretrained models.

Facial Affective Behavior Analysis Method for 5th ABAW Competition

no code implementations • 16 Mar 2023 • Shangfei Wang, Yanan Chang, Yi Wu, Xiangyu Miao, Jiaqiang Wu, Zhouan Zhu, Jiahe Wang, Yufei Xiao

Facial affective behavior analysis is important for human-computer interaction.

Arousal Estimation

Multi-Task Learning for Emotion Descriptors Estimation at the fourth ABAW Challenge

no code implementations • 20 Jul 2022 • Yanan Chang, Yi Wu, Xiangyu Miao, Jiahe Wang, Shangfei Wang

The 4th competition on affective behavior analysis in the wild (ABAW) provided images with valence/arousal, expression and action unit labels.

Multi-Task Learning

Hand-Assisted Expression Recognition Method from Synthetic Images at the Fourth ABAW Challenge

no code implementations • 20 Jul 2022 • Xiangyu Miao, Jiahe Wang, Yanan Chang, Yi Wu, Shangfei Wang

Learning from synthetic images plays an important role in facial expression recognition task due to the difficulties of labeling the real images, and it is challenging because of the gap between the synthetic images and real images.

Facial Expression Recognition Facial Expression Recognition (FER)

CrackFormer: Transformer Network for Fine-Grained Crack Detection

1 code implementation • ICCV 2021 • Huajun Liu, Xiangyu Miao, Christoph Mertz, Chengzhong Xu, Hui Kong

The CrackFormer is composed of novel attention modules in a SegNet-like encoder-decoder architecture.

Crack Segmentation