Research Scientist in Deep Learning, Computer Vision, Robotics, Self-Supervised Learning @ Google Brain
[LinkedIn] [Scholar] [YouTube] [Twitter] [Email: first dot last at gmail]
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Time-Contrastive Networks (TCN) [ Project Page ] [ Paper ] [ BibTex ] [ Video ] [ Dataset ] [ Code ] [ Slides ] |
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Unsupervised Perceptual Rewards [ Project Page ] [ Paper ] [ BibTex ] [ Video ] [ Dataset ] |
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Self-Supervised Imitation Learning [ Project Page ] |
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Visual Attention [ Paper ] [ BibTex ] |
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Inception / GoogLeNet [ Code ] [ Paper ] [ BibTex ] [ ImageNet Challenge ] |
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Dogs vs. Cats Kaggle challenge [ Leaderboard ] |
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OverFeat [ Code ] [ Paper ] [ BibTex ] [ Slides ] [ ImageNet Challenge ] [ Press ] |
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Pedestrian Detection [ Video ] [ Paper ] [ BibTex ] |
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Convolutional Neural Networks Applied to House Numbers Digit Classification [ Paper ] [ BibTex ] |
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Traffic Sign Recognition [ Paper ] [ BibTex ] |
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Unsupervised Convolutional Feature Hierarchies [ Paper ] [ BibTex ] |
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EBLearn [ Code ] [ Paper ] [ BibTex ] |
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Teaching NYU Robotics class [ Class Page ] |
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LAGR Challenge: Learning Applied to Ground Robots [ Overview video ] [ Project Page ] |
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Learning Long-Range Vision for Autonomous Off-Road Driving [ Paper ] [ BibTex ] |
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Collision-Free Off-Road Robot Navigation [ Paper ] [ BibTex ] |
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Learning Maneuver Dictionaries for Ground Robot Planning [ Paper ] [ BibTex ] |
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Mapping and Planning under Uncertainty in Mobile Robots with Long-Range Perception [ Paper ] [ BibTex ] |
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Deep Belief Net Learning in a Long-Range Vision System [ Paper ] [ BibTex ] |
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Online Learning for Offroad Robots [ Paper ] [ BibTex ] |
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EUROBOT Competition [ Project Page ] |