68 citations · 210 across the 29 of their papers we have counts for
31 papers · 1 filter
SAGE: SLAM with Appearance and Geometry Prior for Endoscopy
Xingtong Liu, Zhaoshuo Li, Masaru Ishii +3
In endoscopy, many applications (e.g., surgical navigation) would benefit from a real-time method that can simultaneously track the endoscope and reconstruct the dense 3D geometry…
Mapping DNN Embedding Manifolds for Network Generalization Prediction
Molly O'Brien, Julia Bukowski, Mathias Unberath +2
Understanding Deep Neural Network (DNN) performance in changing conditions is essential for deploying DNNs in safety critical applications with unconstrained environments, e.g., pe…
Network Generalization Prediction for Safety Critical Tasks in Novel Operating Domains
Molly O'Brien, Mike Medoff, Julia Bukowski +1
It is well known that Neural Network (network) performance often degrades when a network is used in novel operating domains that differ from its training and testing domains. This…
Motion Guided Attention Fusion to Recognize Interactions from Videos
Tae Soo Kim, Jonathan Jones, Gregory D. Hager
We present a dual-pathway approach for recognizing fine-grained interactions from videos. We build on the success of prior dual-stream approaches, but make a distinction between th…
"Train one, Classify one, Teach one" -- Cross-surgery transfer learning for surgical step recognition
Daniel Neimark, Omri Bar, Maya Zohar +2
Prior work demonstrated the ability of machine learning to automatically recognize surgical workflow steps from videos. However, these studies focused on only a single type of proc…
SAFCAR: Structured Attention Fusion for Compositional Action Recognition
Tae Soo Kim, Gregory D. Hager
We present a general framework for compositional action recognition -- i.e. action recognition where the labels are composed out of simpler components such as subjects, atomic-acti…