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Ariel Gordon
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2020 – today
- 2021
- [c7]Yao Lu, Sören Pirk, Jan Dlabal, Anthony Brohan, Ankita Pasad, Zhao Chen, Vincent Casser, Anelia Angelova, Ariel Gordon:
Taskology: Utilizing Task Relations at Scale. CVPR 2021: 8700-8709 - 2020
- [j1]Daniel Freedman
, Yochai Blau, Liran Katzir
, Amit Aides, Ilan Shimshoni, Danny Veikherman, Tomer Golany, Ariel Gordon, Greg Corrado
, Yossi Matias, Ehud Rivlin:
Detecting Deficient Coverage in Colonoscopies. IEEE Trans. Medical Imaging 39(11): 3451-3462 (2020) - [c6]Hanhan Li, Ariel Gordon, Hang Zhao, Vincent Casser, Anelia Angelova:
Unsupervised Monocular Depth Learning in Dynamic Scenes. CoRL 2020: 1908-1917 - [c5]Rico Jonschkowski, Austin Stone, Jonathan T. Barron, Ariel Gordon, Kurt Konolige, Anelia Angelova:
What Matters in Unsupervised Optical Flow. ECCV (2) 2020: 557-572 - [i9]Daniel Freedman, Yochai Blau, Liran Katzir, Amit Aides, Ilan Shimshoni, Danny Veikherman, Tomer Golany, Ariel Gordon, Greg Corrado, Yossi Matias, Ehud Rivlin:
Detecting Deficient Coverage in Colonoscopies. CoRR abs/2001.08589 (2020) - [i8]Ankita Pasad, Ariel Gordon, Tsung-Yi Lin, Anelia Angelova:
Improving Semantic Segmentation through Spatio-Temporal Consistency Learned from Videos. CoRR abs/2004.05324 (2020) - [i7]Yao Lu, Sören Pirk, Jan Dlabal, Anthony Brohan, Ankita Pasad, Zhao Chen, Vincent Casser, Anelia Angelova, Ariel Gordon:
Taskology: Utilizing Task Relations at Scale. CoRR abs/2005.07289 (2020) - [i6]Rico Jonschkowski, Austin Stone
, Jonathan T. Barron, Ariel Gordon, Kurt Konolige, Anelia Angelova:
What Matters in Unsupervised Optical Flow. CoRR abs/2006.04902 (2020) - [i5]Hanhan Li, Ariel Gordon, Hang Zhao, Vincent Casser, Anelia Angelova:
Unsupervised Monocular Depth Learning in Dynamic Scenes. CoRR abs/2010.16404 (2020)
2010 – 2019
- 2019
- [c4]Ariel Gordon, Hanhan Li, Rico Jonschkowski, Anelia Angelova:
Depth From Videos in the Wild: Unsupervised Monocular Depth Learning From Unknown Cameras. ICCV 2019: 8976-8985 - [c3]Seong Jae Hwang
, Joonseok Lee
, Balakrishnan Varadarajan, Ariel Gordon, Zheng Xu, Apostol Natsev:
Large-Scale Training Framework for Video Annotation. KDD 2019: 2394-2402 - [i4]Ariel Gordon, Hanhan Li, Rico Jonschkowski, Anelia Angelova:
Depth from Videos in the Wild: Unsupervised Monocular Depth Learning from Unknown Cameras. CoRR abs/1904.04998 (2019) - [i3]Nick Johnston, Elad Eban, Ariel Gordon, Johannes Ballé:
Computationally Efficient Neural Image Compression. CoRR abs/1912.08771 (2019) - 2018
- [c2]Ariel Gordon, Elad Eban, Ofir Nachum, Bo Chen, Hao Wu, Tien-Ju Yang, Edward Choi
:
MorphNet: Fast & Simple Resource-Constrained Structure Learning of Deep Networks. CVPR 2018: 1586-1595 - 2017
- [c1]Elad Eban, Mariano Schain, Alan Mackey, Ariel Gordon, Ryan Rifkin, Gal Elidan:
Scalable Learning of Non-Decomposable Objectives. AISTATS 2017: 832-840 - [i2]Ariel Gordon, Elad Eban, Ofir Nachum, Bo Chen, Tien-Ju Yang, Edward Choi:
MorphNet: Fast & Simple Resource-Constrained Structure Learning of Deep Networks. CoRR abs/1711.06798 (2017) - 2016
- [i1]Elad Eban, Mariano Schain, Ariel Gordon, Rif Saurous, Gal Elidan:
Large-scale Learning With Global Non-Decomposable Objectives. CoRR abs/1608.04802 (2016)
Coauthor Index

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