most citedTemporal Convolutional Networks for Action Segmentation and Detection

23 citations · 65 across the 11 of their papers we have counts for

collaborators

11 papers

cs.RO20164 cited

Do What I Want, Not What I Did: Imitation of Skills by Planning Sequences of Actions

Chris Paxton, Felix Jonathan, Marin Kobilarov +1

We propose a learning-from-demonstration approach for grounding actions from expert data and an algorithm for using these actions to perform a task in new environments. Our approac…

cs.RO20161 cited

CoSTAR: Instructing Collaborative Robots with Behavior Trees and Vision

Chris Paxton, Andrew Hundt, Felix Jonathan +2

For collaborative robots to become useful, end users who are not robotics experts must be able to instruct them to perform a variety of tasks. With this goal in mind, we developed…

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.CY20164 cited

Perspectives on Surgical Data Science

S. Swaroop Vedula, Masaru Ishii, Gregory D. Hager

The availability of large amounts of data together with advances in analytical techniques afford an opportunity to address difficult challenges in ensuring that healthcare is safe,…

cs.CY2016

Toward a Science of Autonomy for Physical Systems: Paths

Pieter Abbeel, Ken Goldberg, Gregory Hager +1

An Autonomous Physical System (APS) will be expected to reliably and independently evaluate, execute, and achieve goals while respecting surrounding rules, laws, or conventions. In…