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Ariel Gordon

Unsupervised Monocular Depth Learning in Dynamic Scenes

Nov 07, 2020
Hanhan Li, Ariel Gordon, Hang Zhao, Vincent Casser, Anelia Angelova

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* Accepted at 4th Conference on Robot Learning (CoRL 2020)

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What Matters in Unsupervised Optical Flow

Jun 08, 2020
Rico Jonschkowski, Austin Stone, Jonathan T. Barron, Ariel Gordon, Kurt Konolige, Anelia Angelova

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* Source code is available at https://github.com/google-research/google-research/tree/master/uflow

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Detecting Deficient Coverage in Colonoscopies

Jan 26, 2020
Daniel Freedman, Yochai Blau, Liran Katzir, Amit Aides, Ilan Shimshoni, Danny Veikherman, Tomer Golany, Ariel Gordon, Greg Corrado, Yossi Matias, Ehud Rivlin

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* Compliance with internal requirements

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Computationally Efficient Neural Image Compression

Dec 18, 2019
Nick Johnston, Elad Eban, Ariel Gordon, Johannes Ballé

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* In submission to a conference

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MorphNet: Fast & Simple Resource-Constrained Structure Learning of Deep Networks

Apr 17, 2018
Ariel Gordon, Elad Eban, Ofir Nachum, Bo Chen, Hao Wu, Tien-Ju Yang, Edward Choi

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* Added reproducibility and stability figures in the appendix, as well minor typos and clarifications to the main text

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