most citedMEGC2025: Micro-Expression Grand Challenge on Spot Then Recognize and Visual Question Answering

1 citations · 1 across the 5 of their papers we have counts for

collaborators

5 papers

cs.AI2026

Adaptive Memory and Reflection Multi-Agent System for Medical Question Answering

Pradeep Murugesan, Luoxiao Yang, Xueli Chen +1

Accurate and responsible medical question answering (QA) is important in healthcare, where complex cases require factual knowledge and nuanced reasoning. Existing medical QA system…

cs.CV2026

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…

cs.CV2026

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…

cs.CV2026

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…

cs.CV2025★ 1 cited

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…