3 papers
cs.CV2025
HEART-VIT: Hessian-Guided Efficient Dynamic Attention and Token Pruning in Vision Transformer
Mohammad Helal Uddin, Liam Seymour, Sabur Baidya
Vision Transformers (ViTs) deliver state-of-the-art accuracy but their quadratic attention cost and redundant computations severely hinder deployment on latency and resource-constr…
cs.LG2025
CAMP-HiVe: Cyclic Pair Merging based Efficient DNN Pruning with Hessian-Vector Approximation for Resource-Constrained Systems
Mohammad Helal Uddin, Sai Krishna Ghanta, Liam Seymour +1
Deep learning algorithms are becoming an essential component of many artificial intelligence (AI) driven applications, many of which run on resource-constrained and energy-constrai…
cs.AI2025
Predicting Human Depression with Hybrid Data Acquisition utilizing Physical Activity Sensing and Social Media Feeds
Mohammad Helal Uddin, Sabur Baidya
Mental disorders including depression, anxiety, and other neurological disorders pose a significant global challenge, particularly among individuals exhibiting social avoidance ten…