34 citations · 155 across the 18 of their papers we have counts for
4 papers · 2 filters
Temporal Convolutional Networks for Action Segmentation and Detection
Colin Lea, Michael D. Flynn, Rene Vidal +2
The ability to identify and temporally segment fine-grained human actions throughout a video is crucial for robotics, surveillance, education, and beyond. Typical approaches decoup…
Anatomically Constrained Video-CT Registration via the V-IMLOP Algorithm
Seth D. Billings, Ayushi Sinha, Austin Reiter +4
Functional endoscopic sinus surgery (FESS) is a surgical procedure used to treat acute cases of sinusitis and other sinus diseases. FESS is fast becoming the preferred choice of tr…
Temporal Convolutional Networks: A Unified Approach to Action Segmentation
Colin Lea, Rene Vidal, Austin Reiter +1
The dominant paradigm for video-based action segmentation is composed of two steps: first, for each frame, compute low-level features using Dense Trajectories or a Convolutional Ne…
Segmental Spatiotemporal CNNs for Fine-grained Action Segmentation
Colin Lea, Austin Reiter, Rene Vidal +1
Joint segmentation and classification of fine-grained actions is important for applications of human-robot interaction, video surveillance, and human skill evaluation. However, des…