2 citations · 2 across the 5 of their papers we have counts for
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PointSplat: Efficient Geometry-Driven Pruning and Transformer Refinement for 3D Gaussian Splatting
Anh Thuan Tran, Jana Kosecka
3D Gaussian Splatting (3DGS) has recently unlocked real-time, high-fidelity novel view synthesis by representing scenes using explicit 3D primitives. However, traditional methods o…
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…
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…
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…