49 citations · 60 across the 5 of their papers we have counts for
6 papers
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…
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…
A Review on Facial Micro-Expressions Analysis: Datasets, Features and Metrics
Walied Merghani, Adrian K. Davison, Moi Hoon Yap
Facial micro-expressions are very brief, spontaneous facial expressions that appear on the face of humans when they either deliberately or unconsciously conceal an emotion. Micro-e…
DFUNet: Convolutional Neural Networks for Diabetic Foot Ulcer Classification
Manu Goyal, Neil D. Reeves, Adrian K. Davison +3
Globally, in 2016, one out of eleven adults suffered from Diabetes Mellitus. Diabetic Foot Ulcers (DFU) are a major complication of this disease, which if not managed properly can…
Objective Classes for Micro-Facial Expression Recognition
Adrian K. Davison, Walied Merghani, Moi Hoon Yap
Micro-expressions are brief spontaneous facial expressions that appear on a face when a person conceals an emotion, making them different to normal facial expressions in subtlety a…
Objective Micro-Facial Movement Detection Using FACS-Based Regions and Baseline Evaluation
Adrian K. Davison, Cliff Lansley, Choon Ching Ng +2
Micro-facial expressions are regarded as an important human behavioural event that can highlight emotional deception. Spotting these movements is difficult for humans and machines,…