3 papers
cs.CV2025
TRAVEL: Training-Free Retrieval and Alignment for Vision-and-Language Navigation
Navid Rajabi, Jana Kosecka
In this work, we propose a modular approach for the Vision-Language Navigation (VLN) task by decomposing the problem into four sub-modules that use state-of-the-art Large Language…
cs.CL2024
GSR-BENCH: A Benchmark for Grounded Spatial Reasoning Evaluation via Multimodal LLMs
Navid Rajabi, Jana Kosecka
The ability to understand and reason about spatial relationships between objects in images is an important component of visual reasoning. This skill rests on the ability to recogni…
cs.CV2024
Q-GroundCAM: Quantifying Grounding in Vision Language Models via GradCAM
Navid Rajabi, Jana Kosecka
Vision and Language Models (VLMs) continue to demonstrate remarkable zero-shot (ZS) performance across various tasks. However, many probing studies have revealed that even the best…