306 citations · 348 across the 6 of their papers we have counts for
6 papers
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…
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…
Video-based Facial Micro-Expression Analysis: A Survey of Datasets, Features and Algorithms
Xianye Ben, Yi Ren, Junping Zhang +4
Unlike the conventional facial expressions, micro-expressions are involuntary and transient facial expressions capable of revealing the genuine emotions that people attempt to hide…
3D-CNN for Facial Micro- and Macro-expression Spotting on Long Video Sequences using Temporal Oriented Reference Frame
Chuin Hong Yap, Moi Hoon Yap, Adrian K. Davison +4
Facial expression spotting is the preliminary step for micro- and macro-expression analysis. The task of reliably spotting such expressions in video sequences is currently unsolved…
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…
Spotting Micro-Expressions on Long Videos Sequences
Jingting Li, Catherine Soladie, Renaud Sguier +2
This paper presents baseline results for the first Micro-Expression Spotting Challenge 2019 by evaluating local temporal pattern (LTP) on SAMM and CAS(ME)2. The proposed LTP patter…