3 papers
cs.LG2026
Mesh-RL: Coupled subgrid reinforcement learning
Behnam Gheshlaghi, Bahador Rashidi, Shahin Atakishiyev
Reinforcement learning in large or sparse-reward environments suffers from slow temporal-difference reward propagation, as value information spreads only locally across the state s…
cs.CV2026
Don't Show Pixels, Show Cues: Unlocking Visual Tool Reasoning in Language Models via Perception Programs
Muhammad Kamran Janjua, Hugo Silva, Di Niu +1
Multimodal language models (MLLMs) are increasingly paired with vision tools (e.g., depth, flow, correspondence) to enhance visual reasoning. However, despite access to these tool-…
cs.CV2026
Panoptic Pairwise Distortion Graph
Muhammad Kamran Janjua, Abdul Wahab, Bahador Rashidi
In this work, we introduce a new perspective on comparative image assessment by representing an image pair as a structured composition of its regions. In contrast, existing methods…