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20162021
most citedEfficient Hierarchical Graph-Based Segmentation of RGBD Videos

52 citations · 64 across the 7 of their papers we have counts for

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5 papers · 1 filter

cs.CV2019

Looking at the right stuff: Guided semantic-gaze for autonomous driving

Anwesan Pal, Sayan Mondal, Henrik I. Christensen

In recent years, predicting driver's focus of attention has been a very active area of research in the autonomous driving community. Unfortunately, existing state-of-the-art techni…

cs.CV2018

Purely Geometric Scene Association and Retrieval - A Case for Macro Scale 3D Geometry

Rahul Sawhney, Fuxin Li, Henrik I. Christensen +1

We address the problems of measuring geometric similarity between 3D scenes, represented through point clouds or range data frames, and associating them. Our approach leverages mac…

cs.CV201852 cited

Efficient Hierarchical Graph-Based Segmentation of RGBD Videos

Steven Hickson, Stan Birchfield, Irfan Essa +1

We present an efficient and scalable algorithm for segmenting 3D RGBD point clouds by combining depth, color, and temporal information using a multistage, hierarchical graph-based…

cs.CV20173 cited

Semantic Instance Labeling Leveraging Hierarchical Segmentation

Steven Hickson, Irfan Essa, Henrik Christensen

Most of the approaches for indoor RGBD semantic la- beling focus on using pixels or superpixels to train a classi- fier. In this paper, we implement a higher level segmentation usi…

cs.CV2016

Multi-modal Tracking for Object based SLAM

Prateek Singhal, Ruffin White, Henrik Christensen

We present an on-line 3D visual object tracking framework for monocular cameras by incorporating spatial knowledge and uncertainty from semantic mapping along with high frequency m…