Search Results for author: Yanan Chang

Found 8 papers, 0 papers with code

MEDIC: A Multimodal Empathy Dataset in Counseling

no code implementations4 May 2023 Zhou'an_Zhu, Xin Li, Jicai Pan, Yufei Xiao, Yanan Chang, Feiyi Zheng, Shangfei Wang

We also propose three labels (i. e., expression of experience, emotional reaction, and cognitive reaction) to describe the degree of empathy between counselors and their clients.

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

no code implementations20 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 implementations20 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)

Knowledge-Driven Self-Supervised Representation Learning for Facial Action Unit Recognition

no code implementations CVPR 2022 Yanan Chang, Shangfei Wang

To remedy this, we utilize AU labeling rules defined by the Facial Action Coding System (FACS) to design a novel knowledge-driven self-supervised representation learning framework for AU recognition.

Contrastive Learning Facial Action Unit Detection +1

Exploring Adversarial Learning for Deep Semi-Supervised Facial Action Unit Recognition

no code implementations4 Jun 2021 Shangfei Wang, Yanan Chang, Guozhu Peng, Bowen Pan

Specifically, the proposed deep semi-supervised AU recognition approach consists of a deep recognition network and a discriminator D. The deep recognition network R learns facial representations from large-scale facial images and AU classifiers from limited ground truth AU labels.

Facial Action Unit Detection

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