Search Results for author:
Found 6 papers, 1 papers with code
Low-Light Image Enhancement Framework for Improved Object Detection in Fisheye Lens Datasets
This study addresses the evolving challenges in urban traffic monitoring detection systems based on fisheye lens cameras by proposing a framework that improves the efficacy and accuracy of these systems.
Enhancing Traffic Safety with Parallel Dense Video Captioning for End-to-End Event Analysis
Our solution mainly focuses on the following points: 1) To solve dense video captioning, we leverage the framework of dense video captioning with parallel decoding (PDVC) to model visual-language sequences and generate dense caption by chapters for video.
Quranic Conversations: Developing a Semantic Search tool for the Quran using Arabic NLP Techniques
The Holy Book of Quran is believed to be the literal word of God (Allah) as revealed to the Prophet Muhammad (PBUH) over a period of approximately 23 years.
GC-GRU-N for Traffic Prediction using Loop Detector Data
Because traffic characteristics display stochastic nonlinear spatiotemporal dependencies, traffic prediction is a challenging task.
A Region-Based Deep Learning Approach to Automated Retail Checkout
Automating the product checkout process at conventional retail stores is a task poised to have large impacts on society generally speaking.
A Vision-based System for Traffic Anomaly Detection using Deep Learning and Decision Trees
Our approach included creating a detection model, followed by anomaly detection and analysis.
