most citedEfficient Hierarchical Graph-Based Segmentation of RGBD Videos

52 citations · 94 across the 5 of their papers we have counts for

collaborators

5 papers

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.CV201814 cited

Let's Dance: Learning From Online Dance Videos

Daniel Castro, Steven Hickson, Patsorn Sangkloy +4

In recent years, deep neural network approaches have naturally extended to the video domain, in their simplest case by aggregating per-frame classifications as a baseline for actio…

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.CV201716 cited

An Energy Minimization Approach to 3D Non-Rigid Deformable Surface Estimation Using RGBD Data

Bryan Willimon, Steven Hickson, Ian Walker +1

We propose an algorithm that uses energy mini- mization to estimate the current configuration of a non-rigid object. Our approach utilizes an RGBD image to calculate corresponding…

cs.CV20179 cited

Eyemotion: Classifying facial expressions in VR using eye-tracking cameras

Steven Hickson, Nick Dufour, Avneesh Sud +2

One of the main challenges of social interaction in virtual reality settings is that head-mounted displays occlude a large portion of the face, blocking facial expressions and ther…