Ariel Gordon

6 papers · 2017–2021 · 5 venues · across top CS/AI venues

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Achievements

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🌍 Conference Polyglot · Silver 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (13) 🐣 Hot Topic Early Bird 🧭 Keyword Pioneer

🔥 Unstoppable · Bronze

Venues

CVPR (2) AISTATS (1) CoRL (1) ECCV (1) ICCV (1)

Top co-authors

Anelia Angelova (4) Vincent Casser (2) Elad Eban (2) Hanhan Li (2) Rico Jonschkowski (2) Hao Wu (1) Ofir Nachum (1) Tien-Ju Yang (1) Ryan Rifkin (1) Kurt Konolige (1)

Research topics

Machine Learning (5) Artificial Intelligence (3) Computer Vision (2) Analysis (2) Application Areas (2) Core AI (2) Learning Types (2) Optimization & Theory · Machine Learning (2) Deep Learning (1) Core Methods (1) Learning Paradigms (1) Optimization & Theory · Deep Learning (1)

Keywords

ego-motion estimation (2) depth estimation (2) multi-task learning (1) structure learning (1) self-supervised learning (1) network pruning (1) neural architecture search (1) dynamic scene (1) model efficiency (1) precision-recall curve (1) resource constraint (1) joint training (1) consistency loss (1) architecture design (1) monocular depth (1) photometric consistency (1) object motion (1) neural network (1) rigid motion (1) camera intrinsics (1)

Papers

Taskology: Utilizing Task Relations at Scale CVPR 2021 Unsupervised Monocular Depth Learning in Dynamic Scenes CoRL 2020 What Matters in Unsupervised Optical Flow ECCV 2020 Depth From Videos in the Wild: Unsupervised Monocular Depth Learning From Unknown Cameras ICCV 2019 MorphNet: Fast & Simple Resource-Constrained Structure Learning of Deep Networks CVPR 2018 Scalable Learning of Non-Decomposable Objectives AISTATS 2017