9 citations · 15 across the 13 of their papers we have counts for
5 papers · 1 filter
Don't Waste Bits! Adaptive KV-Cache Quantization for Lightweight On-Device LLMs
Sayed Pedram Haeri Boroujeni, Niloufar Mehrabi, Patrick Woods +2
Large Language Models (LLMs) have achieved remarkable progress across reasoning, generation, and decision-making tasks, yet deploying them on mobile, embedded, and edge devices rem…
Comparative Analysis of Patch Attack on VLM-Based Autonomous Driving Architectures
David Fernandez, Pedram MohajerAnsari, Amir Salarpour +3
Vision-language models are emerging for autonomous driving, yet their robustness to physical adversarial attacks remains unexplored. This paper presents a systematic framework for…
All You Need for Object Detection: From Pixels, Points, and Prompts to Next-Gen Fusion and Multimodal LLMs/VLMs in Autonomous Vehicles
Sayed Pedram Haeri Boroujeni, Niloufar Mehrabi, Hazim Alzorgan +2
Autonomous Vehicles (AVs) are transforming the future of transportation through advances in intelligent perception, decision-making, and control systems. However, their success is…
Eyes on the Environment: AI-Driven Analysis for Fire and Smoke Classification, Segmentation, and Detection
Sayed Pedram Haeri Boroujeni, Niloufar Mehrabi, Fatemeh Afghah +4
Fire and smoke phenomena pose a significant threat to the natural environment, ecosystems, and global economy, as well as human lives and wildlife. In this particular circumstance,…
Enhanced Cooperative Perception for Autonomous Vehicles Using Imperfect Communication
Ahmad Sarlak, Hazim Alzorgan, Sayed Pedram Haeri Boroujeni +2
Sharing and joint processing of camera feeds and sensor measurements, known as Cooperative Perception (CP), has emerged as a new technique to achieve higher perception qualities. C…