6 papers
A Deep Learning Pipeline for Epilepsy Genomic Analysis Using GPT-2 XL and NVIDIA H100
Muhammad Omer Latif, Hayat Ullah, Muhammad Ali Shafique +1
Epilepsy is a chronic neurological condition characterized by recurrent seizures, with global prevalence estimated at 50 million people worldwide. While progress in high-throughput…
Improving Adversarial Robustness Through Adaptive Learning-Driven Multi-Teacher Knowledge Distillation
Hayat Ullah, Syed Muhammad Talha Zaidi, Arslan Munir
Convolutional neural networks (CNNs) excel in computer vision but are susceptible to adversarial attacks, crafted perturbations designed to mislead predictions. Despite advances in…
Cooling Matters: Benchmarking Large Language Models and Vision-Language Models on Liquid-Cooled Versus Air-Cooled H100 GPU Systems
Imran Latif, Muhammad Ali Shafique, Hayat Ullah +3
The unprecedented growth in artificial intelligence (AI) workloads, recently dominated by large language models (LLMs) and vision-language models (VLMs), has intensified power and…
DVFL-Net: A Lightweight Distilled Video Focal Modulation Network for Spatio-Temporal Action Recognition
Hayat Ullah, Muhammad Ali Shafique, Abbas Khan +1
The landscape of video recognition has evolved significantly, shifting from traditional Convolutional Neural Networks (CNNs) to Transformer-based architectures for improved accurac…
OD-VIRAT: A Large-Scale Benchmark for Object Detection in Realistic Surveillance Environments
Hayat Ullah, Abbas Khan, Arslan Munir +1
Realistic human surveillance datasets are crucial for training and evaluating computer vision models under real-world conditions, facilitating the development of robust algorithms…
Hierarchical Multi-Stage Transformer Architecture for Context-Aware Temporal Action Localization
Hayat Ullah, Arslan Munir, Oliver Nina
Inspired by the recent success of transformers and multi-stage architectures in video recognition and object detection domains. We thoroughly explore the rich spatio-temporal prope…