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3D-OES: Viewpoint-Invariant Object-Factorized Environment Simulators
We propose an action-conditioned dynamics model that predicts scene chan...
11/12/2020 ∙ by Hsiao-Yu Fish Tung, et al. ∙
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3D Object Recognition By Corresponding and Quantizing Neural 3D Scene Representations
We propose a system that learns to detect objects and infer their 3D pos...
10/30/2020 ∙ by Mihir Prabhudesai, et al. ∙
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Embodied Language Grounding with Implicit 3D Visual Feature Representations
Consider the utterance "the tomato is to the left of the pot." Humans ca...
10/02/2019 ∙ by Mihir Prabhudesai, et al. ∙
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Embodied View-Contrastive 3D Feature Learning
Humans can effortlessly imagine the occluded side of objects in a photog...
06/10/2019 ∙ by Adam W. Harley, et al. ∙
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Learning Spatial Common Sense with Geometry-Aware Recurrent Networks
We integrate two powerful ideas, geometry and deep visual representation...
12/31/2018 ∙ by Hsiao-Yu Fish Tung, et al. ∙
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Reward Learning from Narrated Demonstrations
Humans effortlessly "program" one another by communicating goals and des...
04/27/2018 ∙ by Hsiao-Yu Fish Tung, et al. ∙
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Self-supervised Learning of Motion Capture
Current state-of-the-art solutions for motion capture from a single came...
12/04/2017 ∙ by Hsiao-Yu Fish Tung, et al. ∙
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Adversarial Inverse Graphics Networks: Learning 2D-to-3D Lifting and Image-to-Image Translation from Unpaired Supervision
Researchers have developed excellent feed-forward models that learn to m...
05/31/2017 ∙ by Hsiao-Yu Fish Tung, et al. ∙
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Spectral Methods for Nonparametric Models
Nonparametric models are versatile, albeit computationally expensive, to...
03/31/2017 ∙ by Hsiao-Yu Fish Tung, et al. ∙
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