32 citations · 75 across the 10 of their papers we have counts for
11 papers
FreqKD: Frequency-Decoupled Cross-Modal Knowledge Distillation for Infrared Object Detection
Keval Thaker, Venkatraman Narayanan, Abdalmalek Aburaddaha +1
Transfer learning from large-scale RGB foundation models to infrared (IR) imagery through knowledge distillation (KD) remains challenging due to fundamental differences in image fo…
SceneMiner: Identity-Preserving Multi-Task Fine-Tuning for Unified BEV Scene Mining
Abdalmalek Aburaddaha, Venkatraman Narayanan, Keval Thaker +1
Mining hard, safety-critical scenes from driving logs is bottlenecked by the absence of difficulty labels, and no single proxy, collision risk, trajectory ambiguity, or semantic ra…
MEVDT: Multi-Modal Event-Based Vehicle Detection and Tracking Dataset
Zaid A. El Shair, Samir A. Rawashdeh
In this data article, we introduce the Multi-Modal Event-based Vehicle Detection and Tracking (MEVDT) dataset. This dataset provides a synchronized stream of event data and graysca…
SID: Stereo Image Dataset for Autonomous Driving in Adverse Conditions
Zaid A. El-Shair, Abdalmalek Abu-raddaha, Aaron Cofield +4
Robust perception is critical for autonomous driving, especially under adverse weather and lighting conditions that commonly occur in real-world environments. In this paper, we int…
Vehicular Applications of Koopman Operator Theory -- A Survey
Waqas Manzoor, Samir Rawashdeh, Alireza Mohammadi
Koopman operator theory has proven to be a promising approach to nonlinear system identification and global linearization. For nearly a century, there had been no efficient means o…
High-temporal-resolution event-based vehicle detection and tracking
Zaid El-Shair, Samir Rawashdeh
Event-based vision has been rapidly growing in recent years justified by the unique characteristics it presents such as its high temporal resolutions (~1us), high dynamic range (>1…