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Amodal 3D Reconstruction for Robotic Manipulation via Stability and Connectivity
Learning-based 3D object reconstruction enables single- or few-shot esti...
09/28/2020 ∙ by William Agnew, et al. ∙
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In the Wild: From ML Models to Pragmatic ML Systems
Enabling robust intelligence in the wild entails learning systems that o...
07/06/2020 ∙ by Matthew Wallingford, et al. ∙
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Part Segmentation for Highly Accurate Deformable Tracking in Occlusions via Fully Convolutional Neural Networks
Successfully tracking the human body is an important perceptual challeng...
08/05/2019 ∙ by Weilin Wan, et al. ∙
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Early Fusion for Goal Directed Robotic Vision
Increasingly, perceptual systems are being codified as strict pipelines ...
11/21/2018 ∙ by Aaron Walsman, et al. ∙
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CHALET: Cornell House Agent Learning Environment
We present CHALET, a 3D house simulator with support for navigation and ...
01/23/2018 ∙ by Claudia Yan, et al. ∙
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Dynamic High Resolution Deformable Articulated Tracking
The last several years have seen significant progress in using depth cam...
11/21/2017 ∙ by Aaron Walsman, et al. ∙
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