4 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…
Botson: An Accessible and Low-Cost Platform for Social Robotics Research
Samuel Bellaire, Abdalmalek Abu-raddaha, Natalie Kim +3
Trust remains a critical barrier to the effective integration of Artificial Intelligence (AI) into human-centric domains. Disembodied agents, such as voice assistants, often fail t…
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…