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Michael Khaitov

dblp:248/2596 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 2019
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Artificial intelligence and machine learning · 1Graphics, computer vision, multimedia, augmented reality and games · 1

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Artificial intelligence
1 paper
Generative modeling · 50% Representation and self-supervised learning · 50%

Topics — the 2 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Machine learning › Representation and self-supervised learning › representation learning
disentangled representation learning		 0.412019
Domain Intersection and Domain Difference · ICCV 2019
Machine learning › Generative modeling
domain translation		 0.412019
Domain Intersection and Domain Difference · ICCV 2019

Methods — techniques the papers use, named apart from their topics

image-to-image translation · 0.4generative adversarial network · 0.4
YearPublicationVenuePosition
2019 Domain Intersection and Domain Difference
abstract
We present a method for recovering the shared content between two visual domains as well as the content that is unique to each domain. This allows us to map from one domain to the other, in a way in which the content that is specific for the first domain is removed and the content that is specific for the second is imported from any image in the second domain. In addition, our method enables generation of images from the intersection of the two domains as well as their union, despite having no such samples during training. The method is shown analytically to contain all the sufficient and necessary constraints. It also outperforms the literature methods in an extensive set of experiments.
Sagie Benaim, Michael Khaitov, Tomer Galanti, Lior Wolf
 ICCV2