14 citations · 31 across the 13 of their papers we have counts for
6 papers · 1 filter
2COOOL: 2nd Workshop on the Challenge Of Out-Of-Label Hazards in Autonomous Driving
Ali K. AlShami, Ryan Rabinowitz, Maged Shoman +9
As the computer vision community advances autonomous driving algorithms, integrating vision-based insights with sensor data remains essential for improving perception, decision mak…
A Layered Self-Supervised Knowledge Distillation Framework for Efficient Multimodal Learning on the Edge
Tarique Dahri, Zulfiqar Ali Memon, Zhenyu Yu +6
We introduce Layered Self-Supervised Knowledge Distillation (LSSKD) framework for training compact deep learning models. Unlike traditional methods that rely on pre-trained teacher…
Multimodal Large Language Models for Image, Text, and Speech Data Augmentation: A Survey
Ranjan Sapkota, Shaina Raza, Maged Shoman +2
In the past five years, research has shifted from traditional Machine Learning (ML) and Deep Learning (DL) approaches to leveraging Large Language Models (LLMs) , including multimo…
GC-GRU-N for Traffic Prediction using Loop Detector Data
Maged Shoman, Armstrong Aboah, Abdulateef Daud +1
Because traffic characteristics display stochastic nonlinear spatiotemporal dependencies, traffic prediction is a challenging task. In this paper develop a graph convolution gated…
A Region-Based Deep Learning Approach to Automated Retail Checkout
Maged Shoman, Armstrong Aboah, Alex Morehead +3
Automating the product checkout process at conventional retail stores is a task poised to have large impacts on society generally speaking. Towards this end, reliable deep learning…
A Vision-based System for Traffic Anomaly Detection using Deep Learning and Decision Trees
Armstrong Aboah, Maged Shoman, Vishal Mandal +3
Any intelligent traffic monitoring system must be able to detect anomalies such as traffic accidents in real time. In this paper, we propose a Decision-Tree - enabled approach powe…