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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.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…
cs.CV2023
Labeling Indoor Scenes with Fusion of Out-of-the-Box Perception Models
Yimeng Li, Navid Rajabi, Sulabh Shrestha +2
The image annotation stage is a critical and often the most time-consuming part required for training and evaluating object detection and semantic segmentation models. Deployment o…