6 papers
FusionEnsemble-Net: An Attention-Based Ensemble of Spatiotemporal Networks for Multimodal Sign Language Recognition
Md. Milon Islam, Md Rezwanul Haque, S M Taslim Uddin Raju +1
Accurate recognition of sign language in healthcare communication poses a significant challenge, requiring frameworks that can accurately interpret complex multimodal gestures. To…
MDD-Net: Multimodal Depression Detection through Mutual Transformer
Md Rezwanul Haque, Md. Milon Islam, S M Taslim Uddin Raju +3
Depression is a major mental health condition that severely impacts the emotional and physical well-being of individuals. The simple nature of data collection from social media pla…
MMFformer: Multimodal Fusion Transformer Network for Depression Detection
Md Rezwanul Haque, Md. Milon Islam, S M Taslim Uddin Raju +3
Depression is a serious mental health illness that significantly affects an individual's well-being and quality of life, making early detection crucial for adequate care and treatm…
GNN-ViTCap: GNN-Enhanced Multiple Instance Learning with Vision Transformers for Whole Slide Image Classification and Captioning
S M Taslim Uddin Raju, Md. Milon Islam, Md Rezwanul Haque +2
Microscopic assessment of histopathology images is vital for accurate cancer diagnosis and treatment. Whole Slide Image (WSI) classification and captioning have become crucial task…
Bridging Brain with Foundation Models through Self-Supervised Learning
Hamdi Altaheri, Fakhri Karray, Md. Milon Islam +2
Foundation models (FMs), powered by self-supervised learning (SSL), have redefined the capabilities of artificial intelligence, demonstrating exceptional performance in domains lik…
Enhancing Human-Robot Interaction in Healthcare: A Study on Nonverbal Communication Cues and Trust Dynamics with NAO Robot Caregivers
S M Taslim Uddin Raju
As the population of older adults increases, so will the need for both human and robot care providers. While traditional practices involve hiring human caregivers to serve meals an…