9 citations · 9 across the 2 of their papers we have counts for
4 papers · 1 filter
ENTL: Embodied Navigation Trajectory Learner
Klemen Kotar, Aaron Walsman, Roozbeh Mottaghi
We propose Embodied Navigation Trajectory Learner (ENTL), a method for extracting long sequence representations for embodied navigation. Our approach unifies world modeling, locali…
Part Segmentation for Highly Accurate Deformable Tracking in Occlusions via Fully Convolutional Neural Networks
Weilin Wan, Aaron Walsman, Dieter Fox
Successfully tracking the human body is an important perceptual challenge for robots that must work around people. Existing methods fall into two broad categories: geometric tracki…
Early Fusion for Goal Directed Robotic Vision
Aaron Walsman, Yonatan Bisk, Saadia Gabriel +4
Building perceptual systems for robotics which perform well under tight computational budgets requires novel architectures which rethink the traditional computer vision pipeline. M…
Dynamic High Resolution Deformable Articulated Tracking
Aaron Walsman, Weilin Wan, Tanner Schmidt +1
The last several years have seen significant progress in using depth cameras for tracking articulated objects such as human bodies, hands, and robotic manipulators. Most approaches…