Ariel Gordon - RankMe

18 papers A* 5A 1Misc 1Journal 10Unranked 1

Year	Rank	Type	Title / Venue / Authors
2025	A*	`conf`	Depth Estimation Through Translucent Surfaces. ICRA Siyu Dai, Xibai Lou, Petter Nilsson, Shantanu Thakar, Cassie Meeker, Ariel Gordon, Xiangxin Kong, Jenny Zhang, Benjamin Knoerlein, Ruguan Liu, Bhavana Chandrashekhar, Sisir Karumanchi
2021	A*	`conf`	Taskology: Utilizing Task Relations at Scale. CVPR Yao Lu, Sören Pirk, Jan Dlabal, Anthony Brohan, Ankita Pasad, Zhao Chen, Vincent Casser, Anelia Angelova, Ariel Gordon
2020	J	`jnl`	Detecting Deficient Coverage in Colonoscopies. CoRR Daniel Freedman, Yochai Blau, Liran Katzir, Amit Aides, Ilan Shimshoni, Danny Veikherman, Tomer Golany, Ariel Gordon, Greg Corrado, Yossi Matias, Ehud Rivlin
2020	J	`jnl`	Detecting Deficient Coverage in Colonoscopies. IEEE Trans. Medical Imaging Daniel Freedman, Yochai Blau, Liran Katzir, Amit Aides, Ilan Shimshoni, Danny Veikherman, Tomer Golany, Ariel Gordon, Greg Corrado, Yossi Matias, Ehud Rivlin
2020	J	`jnl`	Improving Semantic Segmentation through Spatio-Temporal Consistency Learned from Videos. CoRR Ankita Pasad, Ariel Gordon, Tsung-Yi Lin, Anelia Angelova
2020	J	`jnl`	Taskology: Utilizing Task Relations at Scale. CoRR Yao Lu, Sören Pirk, Jan Dlabal, Anthony Brohan, Ankita Pasad, Zhao Chen, Vincent Casser, Anelia Angelova, Ariel Gordon
2020	Misc	`conf`	Unsupervised Monocular Depth Learning in Dynamic Scenes. CoRL Hanhan Li, Ariel Gordon, Hang Zhao, Vincent Casser, Anelia Angelova
2020	J	`jnl`	Unsupervised Monocular Depth Learning in Dynamic Scenes. CoRR Hanhan Li, Ariel Gordon, Hang Zhao, Vincent Casser, Anelia Angelova
2020	—	`conf`	What Matters in Unsupervised Optical Flow. ECCV (2) Rico Jonschkowski, Austin Stone, Jonathan T. Barron, Ariel Gordon, Kurt Konolige, Anelia Angelova
2020	J	`jnl`	What Matters in Unsupervised Optical Flow. CoRR Rico Jonschkowski, Austin Stone, Jonathan T. Barron, Ariel Gordon, Kurt Konolige, Anelia Angelova
2019	J	`jnl`	Computationally Efficient Neural Image Compression. CoRR Nick Johnston, Elad Eban, Ariel Gordon, Johannes Ballé
2019	A*	`conf`	Depth From Videos in the Wild: Unsupervised Monocular Depth Learning From Unknown Cameras. ICCV Ariel Gordon, Hanhan Li, Rico Jonschkowski, Anelia Angelova
2019	J	`jnl`	Depth from Videos in the Wild: Unsupervised Monocular Depth Learning from Unknown Cameras. CoRR Ariel Gordon, Hanhan Li, Rico Jonschkowski, Anelia Angelova
2019	A*	`conf`	Large-Scale Training Framework for Video Annotation. KDD Seong Jae Hwang, Joonseok Lee, Balakrishnan Varadarajan, Ariel Gordon, Zheng Xu, Apostol Natsev
2018	A*	`conf`	MorphNet: Fast & Simple Resource-Constrained Structure Learning of Deep Networks. CVPR Ariel Gordon, Elad Eban, Ofir Nachum, Bo Chen, Hao Wu, Tien-Ju Yang, Edward Choi
2017	J	`jnl`	MorphNet: Fast & Simple Resource-Constrained Structure Learning of Deep Networks. CoRR Ariel Gordon, Elad Eban, Ofir Nachum, Bo Chen, Tien-Ju Yang, Edward Choi
2017	A	`conf`	Scalable Learning of Non-Decomposable Objectives. AISTATS Elad Eban, Mariano Schain, Alan Mackey, Ariel Gordon, Ryan Rifkin, Gal Elidan
2016	J	`jnl`	Large-scale Learning With Global Non-Decomposable Objectives. CoRR Elad Eban, Mariano Schain, Ariel Gordon, Rif Saurous, Gal Elidan