most citedLeave No Stone Unturned: Mine Extra Knowledge for Imbalanced Facial Expression Recognition

7 citations · 8 across the 5 of their papers we have counts for

collaborators

6 papers

cs.CV2024

Generalizable Facial Expression Recognition

Yuhang Zhang, Xiuqi Zheng, Chenyi Liang +2

SOTA facial expression recognition (FER) methods fail on test sets that have domain gaps with the train set. Recent domain adaptation FER methods need to acquire labeled or unlabel…

cs.CV2024

Faceptor: A Generalist Model for Face Perception

Lixiong Qin, Mei Wang, Xuannan Liu +5

With the comprehensive research conducted on various face analysis tasks, there is a growing interest among researchers to develop a unified approach to face perception. Existing m…

cs.CV2024

Open-Set Facial Expression Recognition

Yuhang Zhang, Yue Yao, Xuannan Liu +3

Facial expression recognition (FER) models are typically trained on datasets with a fixed number of seven basic classes. However, recent research works point out that there are far…

cs.CV2023

AdvCloak: Customized Adversarial Cloak for Privacy Protection

Xuannan Liu, Yaoyao Zhong, Xing Cui +3

With extensive face images being shared on social media, there has been a notable escalation in privacy concerns. In this paper, we propose AdvCloak, an innovative framework for pr…

cs.CV20237 cited

Leave No Stone Unturned: Mine Extra Knowledge for Imbalanced Facial Expression Recognition

Yuhang Zhang, Yaqi Li, Lixiong Qin +2

Facial expression data is characterized by a significant imbalance, with most collected data showing happy or neutral expressions and fewer instances of fear or disgust. This imbal…

cs.CV20231 cited

Survey on Deep Face Restoration: From Non-blind to Blind and Beyond

Wenjie Li, Mei Wang, Kai Zhang +6

Face restoration (FR) is a specialized field within image restoration that aims to recover low-quality (LQ) face images into high-quality (HQ) face images. Recent advances in deep…