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09/04/2023
3D View Prediction Models of the Dorsal Visual Stream
Deep neural network representations align well with brain activity in th...
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11/12/2020
3D-OES: Viewpoint-Invariant Object-Factorized Environment Simulators
We propose an action-conditioned dynamics model that predicts scene chan...
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10/30/2020
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...
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10/02/2019
Embodied Language Grounding with Implicit 3D Visual Feature Representations
Consider the utterance "the tomato is to the left of the pot." Humans ca...
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06/10/2019
Embodied View-Contrastive 3D Feature Learning
Humans can effortlessly imagine the occluded side of objects in a photog...
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12/31/2018
Learning Spatial Common Sense with Geometry-Aware Recurrent Networks
We integrate two powerful ideas, geometry and deep visual representation...
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04/27/2018
Reward Learning from Narrated Demonstrations
Humans effortlessly "program" one another by communicating goals and des...
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12/04/2017
Self-supervised Learning of Motion Capture
Current state-of-the-art solutions for motion capture from a single came...
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05/31/2017
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...
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03/31/2017