Ariel Gordon
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
8
Venues
7
Active years
2017–2025
Best venue rank
A*
Where they publish
Papers
8 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | ICRA | Depth Estimation Through Translucent Surfaces. | 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 | CVPR | Taskology: Utilizing Task Relations at Scale. | Yao Lu, Sren Pirk, Jan Dlabal, Anthony Brohan, Ankita Pasad, Zhao Chen, Vincent Casser, Anelia Angelova, Ariel Gordon |
| 2020 | CoRL | Unsupervised Monocular Depth Learning in Dynamic Scenes. | Hanhan Li, Ariel Gordon, Hang Zhao, Vincent Casser, Anelia Angelova |
| 2020 | ECCV | What Matters in Unsupervised Optical Flow. | Rico Jonschkowski, Austin Stone, Jonathan T. Barron, Ariel Gordon, Kurt Konolige, Anelia Angelova |
| 2019 | ICCV | Depth From Videos in the Wild: Unsupervised Monocular Depth Learning From Unknown Cameras. | Ariel Gordon, Hanhan Li, Rico Jonschkowski, Anelia Angelova |
| 2019 | KDD | Large-Scale Training Framework for Video Annotation. | Seong Jae Hwang, Joonseok Lee, Balakrishnan Varadarajan, Ariel Gordon, Zheng Xu, Apostol Natsev |
| 2018 | CVPR | MorphNet: Fast & Simple Resource-Constrained Structure Learning of Deep Networks. | Ariel Gordon, Elad Eban, Ofir Nachum, Bo Chen, Hao Wu, Tien-Ju Yang, Edward Choi |
| 2017 | AISTATS | Scalable Learning of Non-Decomposable Objectives. | Elad Eban, Mariano Schain, Alan Mackey, Ariel Gordon, Ryan Rifkin, Gal Elidan |