2 citations · 2 across the 3 of their papers we have counts for
3 papers
C-GAP: Class-Aware and Online Prompting Improves Vision-Language Models on Imbalanced Classes
Francis Fernandez, Arash Jahangiri, Salimeh Sekeh
Safety-critical perception systems must reliably detect rare object classes within small label spaces, a setting that long-tailed detection methods, designed for hundreds of classe…
Enhancing Road Safety Through Multi-Camera Image Segmentation with Post-Encroachment Time Analysis
Shounak Ray Chaudhuri, Arash Jahangiri, Christopher Paolini
Traffic safety analysis at signalized intersections is essential for reducing vehicle and pedestrian collisions, yet traditional crash-based studies are limited by data sparsity an…
Impact of Narrow Lanes on Arterial Road Vehicle Crashes: A Machine Learning Approach
Mohammed Elhenawy, Arash Jahangiri, Hesham Rakha
In this paper we adopted state-of-the-art machine learning algorithms, namely: random forest (RF) and least squares boosting, to model crash data and identify the optimum model to…