86 citations · 543 across the 30 of their papers we have counts for
6 papers · 1 filter
Automated Surgical Skill Assessment in RMIS Training
Aneeq Zia, Irfan Essa
Purpose: Manual feedback in basic RMIS training can consume a significant amount of time from expert surgeons' schedule and is prone to subjectivity. While VR-based training tasks…
One-Shot Learning for Semantic Segmentation
Amirreza Shaban, Shray Bansal, Zhen Liu +2
Low-shot learning methods for image classification support learning from sparse data. We extend these techniques to support dense semantic image segmentation. Specifically, we trai…
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…
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…
Video and Accelerometer-Based Motion Analysis for Automated Surgical Skills Assessment
Aneeq Zia, Yachna Sharma, Vinay Bettadapura +2
Purpose: Basic surgical skills of suturing and knot tying are an essential part of medical training. Having an automated system for surgical skills assessment could help save exper…
Complex Event Recognition from Images with Few Training Examples
Unaiza Ahsan, Chen Sun, James Hays +1
We propose to leverage concept-level representations for complex event recognition in photographs given limited training examples. We introduce a novel framework to discover event…