384 citations · 1.1k across the 39 of their papers we have counts for
44 papers
CoFiDA-M: Concept-Aware Feature Modulation for Cross-Domain Adaptation with Image-Only Inference
Nurjahan Sultana, Moi Hoon Yap, Xinqi Fan +1
Models for AI-based skin cancer screening suffer a severe performance drop when shifting from expert dermoscopic (source) images to consumer-grade clinical (target) images, hinderi…
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…
Coverage-aware Semantic Representation Learning for Underrepresented Visual Concepts
Sakib Ahammed, Xia Cui, Xinqi Fan +4
Modern vision models increasingly rely on rich semantic representations that extend beyond class labels to include descriptive concepts, attributes, and contextual cues. However, s…
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…
Gaussian Random Fields as an Abstract Representation of Patient Metadata for Multimodal Medical Image Segmentation
Bill Cassidy, Christian McBride, Connah Kendrick +4
The growing rate of chronic wound occurrence, especially in patients with diabetes, has become a concerning trend in recent years. Chronic wounds are difficult and costly to treat,…
An Enhanced Harmonic Densely Connected Hybrid Transformer Network Architecture for Chronic Wound Segmentation Utilising Multi-Colour Space Tensor Merging
Bill Cassidy, Christian Mcbride, Connah Kendrick +11
Chronic wounds and associated complications present ever growing burdens for clinics and hospitals world wide. Venous, arterial, diabetic, and pressure wounds are becoming increasi…