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Ariel Gordon

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Unsupervised Monocular Depth Learning in Dynamic Scenes

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

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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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Taskology: Utilizing Task Relations at Scale

May 14, 2020
Yao Lu, Sören Pirk, Jan Dlabal, Anthony Brohan, Ankita Pasad, Zhao Chen, Vincent Casser, Anelia Angelova, Ariel Gordon

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Improving Semantic Segmentation through Spatio-Temporal Consistency Learned from Videos

Apr 11, 2020
Ankita Pasad, Ariel Gordon, Tsung-Yi Lin, Anelia Angelova

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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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Computationally Efficient Neural Image Compression

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

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Depth from Videos in the Wild: Unsupervised Monocular Depth Learning from Unknown Cameras

Apr 10, 2019
Ariel Gordon, Hanhan Li, Rico Jonschkowski, Anelia Angelova

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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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