activity
20242026
most citedOptimizing Visual Question Answering Models for Driving: Bridging the Gap Between Human and Machine Attention Patterns

3 citations · 5 across the 12 of their papers we have counts for

collaborators
Showing 2026Show all

1 paper · 1 filter

cs.CV2026

Probing Visual Concepts in Lightweight Vision-Language Models for Automated Driving

Nikos Theodoridis, Reenu Mohandas, Ganesh Sistu +3

The use of Vision-Language Models (VLMs) in automated driving applications is becoming increasingly common, with the aim of leveraging their reasoning and generalisation capabiliti…