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20142024
most citedTemporal Convolutional Networks for Action Segmentation and Detection

23 citations · 66 across the 15 of their papers we have counts for

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7 papers · 1 filter

cs.CV2024

An Endoscopic Chisel: Intraoperative Imaging Carves 3D Anatomical Models

Jan Emily Mangulabnan, Roger D. Soberanis-Mukul, Timo Teufel +7

Purpose: Preoperative imaging plays a pivotal role in sinus surgery where CTs offer patient-specific insights of complex anatomy, enabling real-time intraoperative navigation to co…

cs.CV20231 cited

A Quantitative Evaluation of Dense 3D Reconstruction of Sinus Anatomy from Monocular Endoscopic Video

Jan Emily Mangulabnan, Roger D. Soberanis-Mukul, Timo Teufel +9

Generating accurate 3D reconstructions from endoscopic video is a promising avenue for longitudinal radiation-free analysis of sinus anatomy and surgical outcomes. Several methods…

cs.CV201623 cited

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…

cs.CV201611 cited

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…

cs.CV201617 cited

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…

cs.CV2016

SANTIAGO: Spine Association for Neuron Topology Improvement and Graph Optimization

William Gray Roncal, Colin Lea, Akira Baruah +1

Developing automated and semi-automated solutions for reconstructing wiring diagrams of the brain from electron micrographs is important for advancing the field of connectomics. Wh…