activity
20242026
most citedAll You Need for Object Detection: From Pixels, Points, and Prompts to Next-Gen Fusion and Multimodal LLMs/VLMs in Autonomous Vehicles

5 citations · 5 across the 4 of their papers we have counts for

collaborators

10 papers

cs.GT2026

From Talking Words to Sharing Thoughts: Scalable Multi-LLM Aggregation via Structured Message Passing

Niloufar Mehrabi, Sayed Pedram Haeri Boroujeni, Abolfazl Razi

The emergence of specialized, domain-tuned Large Language Models (LLMs) has demonstrated that smaller models can achieve expert-level performance in specific tasks, while strugglin…

cs.RO2026

Meta-Adaptive Beam Search Planning for Transformer-Based Reinforcement Learning Control of UAVs with Overhead Manipulators under Flight Disturbances

Hazim Alzorgan, Sayed Pedram Haeri Boroujeni, Abolfazl Razi

Drones equipped with overhead manipulators offer unique capabilities for inspection, maintenance, and contact-based interaction. However, the motion of the drone and its manipulato…

cs.CV20265 cited

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…

cs.CV2026

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…

cs.RO2025

From Shadow to Light: Toward Safe and Efficient Policy Learning Across MPC, DeePC, RL, and LLM Agents

Amin Vahidi-Moghaddam, Sayed Pedram Haeri Boroujeni, Iman Jebellat +3

One of the main challenges in modern control applications, particularly in robot and vehicle motion control, is achieving accurate, fast, and safe movement. To address this, optima…

cs.CV2025

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,…