8 citations · 14 across the 7 of their papers we have counts for
5 papers · 1 filter
CDER-SME: A Cross-Device Event-RGB Micro-Expression Dataset under Multi-Level Stress Induction
Jingting Li, Hui Sha, Su-Jing Wang
Micro-expression recognition (MER) in realistic scenarios demands high temporal sensitivity and ecological validity, yet existing benchmarks are largely constrained to laboratory-c…
MEGC2026: Micro-Expression Grand Challenge on Visual Question Answering
Xinqi Fan, Jingting Li, John See +3
Facial micro-expressions (MEs) are involuntary movements of the face that occur spontaneously when a person experiences an emotion but attempts to suppress or repress the facial ex…
FED-PsyAU: Privacy-Preserving Micro-Expression Recognition via Psychological AU Coordination and Dynamic Facial Motion Modeling
Jingting Li, Yu Qian, Lin Zhao +1
Micro-expressions (MEs) are brief, low-intensity, often localized facial expressions. They could reveal genuine emotions individuals may attempt to conceal, valuable in contexts li…
MEGC2025: Micro-Expression Grand Challenge on Spot Then Recognize and Visual Question Answering
Xinqi Fan, Jingting Li, John See +6
Facial micro-expressions (MEs) are involuntary movements of the face that occur spontaneously when a person experiences an emotion but attempts to suppress or repress the facial ex…
Spotting Macro- and Micro-expression Intervals in Long Video Sequences
Ying He, Su-Jing Wang, Jingting Li +1
This paper presents baseline results for the Third Facial Micro-Expression Grand Challenge (MEGC 2020). Both macro- and micro-expression intervals in CAS(ME) and SAMM Long Vide…