21 citations · 41 across the 6 of their papers we have counts for
6 papers
CLIPER: A Unified Vision-Language Framework for In-the-Wild Facial Expression Recognition
Hanting Li, Hongjing Niu, Zhaoqing Zhu +1
Facial expression recognition (FER) is an essential task for understanding human behaviors. As one of the most informative behaviors of humans, facial expressions are often compoun…
Domain-Unified Prompt Representations for Source-Free Domain Generalization
Hongjing Niu, Hanting Li, Feng Zhao +1
Domain generalization (DG), aiming to make models work on unseen domains, is a surefire way toward general artificial intelligence. Limited by the scale and diversity of current DG…
Intensity-Aware Loss for Dynamic Facial Expression Recognition in the Wild
Hanting Li, Hongjing Niu, Zhaoqing Zhu +1
Compared with the image-based static facial expression recognition (SFER) task, the dynamic facial expression recognition (DFER) task based on video sequences is closer to the natu…
NR-DFERNet: Noise-Robust Network for Dynamic Facial Expression Recognition
Hanting Li, Mingzhe Sui, Zhaoqing Zhu +1
Dynamic facial expression recognition (DFER) in the wild is an extremely challenging task, due to a large number of noisy frames in the video sequences. Previous works focus on ext…
AFNet-M: Adaptive Fusion Network with Masks for 2D+3D Facial Expression Recognition
Mingzhe Sui, Hanting Li, Zhaoqing Zhu +1
2D+3D facial expression recognition (FER) can effectively cope with illumination changes and pose variations by simultaneously merging 2D texture and more robust 3D depth informati…
Disentangle Your Dense Object Detector
Zehui Chen, Chenhongyi Yang, Qiaofei Li +3
Deep learning-based dense object detectors have achieved great success in the past few years and have been applied to numerous multimedia applications such as video understanding.…