3 papers
cs.CV2026
CPPO: Contrastive Perception Policy Optimization for VLM Agents
Ahmad Rezaei, Mohsen Gholami, Saeed Ranjbar Alvar +5
We introduce CPPO, a Contrastive Perception Policy Optimization method for finetuning vision--language models (VLMs). Reliable perception is a core requirement for VLM-based agents…
cs.CV2025
From Segments to Scenes: Temporal Understanding for Agentic Autonomous Driving via Vision-Language Models
Kevin Cannons, Saeed Ranjbar Alvar, Mohammad Asiful Hossain +6
Vision-Language Models (VLMs) are increasingly deployed as the perception and reasoning backbone of autonomous agents acting in the wild, with autonomous driving (AD) being one of…
cs.CV2025
Spatial Reasoning with Vision-Language Models in Ego-Centric Multi-View Scenes
Mohsen Gholami, Ahmad Rezaei, Zhou Weimin +4
Understanding 3D spatial relationships remains a major limitation of current Vision-Language Models (VLMs). Prior work has addressed this issue by creating spatial question-answeri…