Ariel Gordon
6 papers · 2017–2021 · 5 conferences · across top CS/AI conferences
Achievements
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πΊοΈ Taxonomy Completionist (13) π Cross-Pollinator (15) π Interdisciplinary Bridge π Conference Polyglot (5) π§ Keyword Pioneer
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Hot Topic Early Bird
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Unstoppable
(5)
Conferences
CVPR (2)
AISTATS (1)
CORL (1)
ECCV (1)
ICCV (1)
Top co-authors
Keywords
depth estimation
(2)
semantic segmentation
(1)
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)
ego-motion estimation
(1)
monocular depth
(1)
photometric consistency
(1)
object motion
(1)
neural network
(1)
rigid motion
(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