activity
20232025
most citedFrom Static to Dynamic: Adapting Landmark-Aware Image Models for Facial Expression Recognition in Videos

74 citations · 80 across the 6 of their papers we have counts for

collaborators

6 papers

physics.chem-ph2025

Mamba-driven multi-perspective structural understanding for molecular ground-state conformation prediction

Yuxin Gou, Aming Wu, Richang Hong +1

A comprehensive understanding of molecular structures is important for the prediction of molecular ground-state conformation involving property information. Meanwhile, state space…

cs.CV2025

Generalizable Engagement Estimation in Conversation via Domain Prompting and Parallel Attention

Yangche Yu, Yin Chen, Jia Li +6

Accurate engagement estimation is essential for adaptive human-computer interaction systems, yet robust deployment is hindered by poor generalizability across diverse domains and c…

cs.CL2025

Traits Run Deep: Enhancing Personality Assessment via Psychology-Guided LLM Representations and Multimodal Apparent Behaviors

Jia Li, Yichao He, Jiacheng Xu +4

Accurate and reliable personality assessment plays a vital role in many fields, such as emotional intelligence, mental health diagnostics, and personalized education. Unlike fleeti…

cs.HC2024

DAT: Dialogue-Aware Transformer with Modality-Group Fusion for Human Engagement Estimation

Jia Li, Yangchen Yu, Yin Chen +6

Engagement estimation plays a crucial role in understanding human social behaviors, attracting increasing research interests in fields such as affective computing and human-compute…

cs.CV2024★ 6 cited

Static for Dynamic: Towards a Deeper Understanding of Dynamic Facial Expressions Using Static Expression Data

Yin Chen, Jia Li, Yu Zhang +4

Dynamic facial expression recognition (DFER) infers emotions from the temporal evolution of expressions, unlike static facial expression recognition (SFER), which relies solely on…

cs.CV2023★ 74 cited

From Static to Dynamic: Adapting Landmark-Aware Image Models for Facial Expression Recognition in Videos

Yin Chen, Jia Li, Shiguang Shan +2

Dynamic facial expression recognition (DFER) in the wild is still hindered by data limitations, e.g., insufficient quantity and diversity of pose, occlusion and illumination, as we…