13 citations · 39 across the 10 of their papers we have counts for
23 papers · 1 filter
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…
SemCovNet: Towards Fair and Semantic Coverage-Aware Learning for Underrepresented Visual Concepts
Sakib Ahammed, Xia Cui, Xinqi Fan +2
Modern vision models increasingly rely on rich semantic representations that extend beyond class labels to include descriptive concepts and contextual attributes. However, existing…
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…
Dermoscopic Dark Corner Artifacts Removal: Friend or Foe?
Samuel William Pewton, Bill Cassidy, Connah Kendrick +1
One of the more significant obstacles in classification of skin cancer is the presence of artifacts. This paper investigates the effect of dark corner artifacts, which result from…
Venn Diagram Multi-label Class Interpretation of Diabetic Foot Ulcer with Color and Sharpness Enhancement
Md Mahamudul Hasan, Moi Hoon Yap, Md Kamrul Hasan
DFU is a severe complication of diabetes that can lead to amputation of the lower limb if not treated properly. Inspired by the 2021 Diabetic Foot Ulcer Grand Challenge, researcher…