58 citations · 181 across the 29 of their papers we have counts for
5 papers · 1 filter
Cross-Task Generalization in Handwriting-Based Alzheimer's Screening via Vision Language Adaptation
Changqing Gong, Huafeng Qin, Mounim A. El-Yacoubi
Alzheimer's disease (AD) is a prevalent neurodegenerative disorder for which early detection is critical. Handwriting, which can be disrupted by subtle motor and cognitive decline,…
MS-Mix: Sentiment-Guided Adaptive Augmentation for Multimodal Sentiment Analysis
Hongyu Zhu, Lin Chen, Xin Jin +1
Multimodal Sentiment Analysis (MSA) integrates complementary features from text, video, and audio for robust emotion understanding in human interactions. However, models suffer fro…
MMSE-Calibrated Few-Shot Prompting for Alzheimer's Detection
Jana Sweidan, Mounim A. El-Yacoubi, Nasredine Semmar
Prompting large language models is a training-free method for detecting Alzheimer's disease from speech transcripts. Using the ADReSS dataset, we revisit zero-shot prompting and st…
Frame Sampling Strategies Matter: A Benchmark for small vision language models
Marija Brkic, Anas Filali Razzouki, Yannis Tevissen +2
Comparing vision language models on videos is particularly complex, as the performances is jointly determined by the model's visual representation capacity and the frame-sampling s…
Polar Coordinate-Based 2D Pose Prior with Neural Distance Field
Qi Gan, Sao Mai Nguyen, Eric Fenaux +2
Human pose capture is essential for sports analysis, enabling precise evaluation of athletes' movements. While deep learning-based human pose estimation (HPE) models from RGB video…