Zobrazeno 1 - 10
of 30
pro vyhledávání: '"Vasileva, Mariya"'
Recent work leverages the expressive power of generative adversarial networks (GANs) to generate labeled synthetic datasets. These dataset generation methods often require new annotations of synthetic images, which forces practitioners to seek out an
Externí odkaz:
http://arxiv.org/abs/2212.12645
Autor:
Sarkar, Rohan, Bodla, Navaneeth, Vasileva, Mariya I., Lin, Yen-Liang, Beniwal, Anurag, Lu, Alan, Medioni, Gerard
Learning an effective outfit-level representation is critical for predicting the compatibility of items in an outfit, and retrieving complementary items for a partial outfit. We present a framework, OutfitTransformer, that uses the proposed task-spec
Externí odkaz:
http://arxiv.org/abs/2204.04812
Many real-world tasks require models to compare images along multiple similarity conditions (e.g. similarity in color, category or shape). Existing methods often reason about these complex similarity relationships by learning condition-aware embeddin
Externí odkaz:
http://arxiv.org/abs/1908.08589
Explaining a deep learning model can help users understand its behavior and allow researchers to discern its shortcomings. Recent work has primarily focused on explaining models for tasks like image classification or visual question answering. In thi
Externí odkaz:
http://arxiv.org/abs/1905.10797
Autor:
Vasileva, Mariya I., Plummer, Bryan A., Dusad, Krishna, Rajpal, Shreya, Kumar, Ranjitha, Forsyth, David
Outfits in online fashion data are composed of items of many different types (e.g. top, bottom, shoes) that share some stylistic relationship with one another. A representation for building outfits requires a method that can learn both notions of sim
Externí odkaz:
http://arxiv.org/abs/1803.09196
Autor:
Sarkar, Rohan, Bodla, Navaneeth, Vasileva, Mariya I., Lin, Yen-Liang, Beniwal, Anurag, Lu, Alan, Medioni, Gerard
Publikováno v:
2023 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV).
Learning an effective outfit-level representation is critical for predicting the compatibility of items in an outfit, and retrieving complementary items for a partial outfit. We present a framework, OutfitTransformer, that uses the proposed task-spec
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::be5cbc4cb40a3bfdb096c838432d0303
https://doi.org/10.1109/wacv56688.2023.00359
https://doi.org/10.1109/wacv56688.2023.00359
Akademický článek
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Publikováno v:
PLoS ONE. May2013, Vol. 8 Issue 5, p1-13. 13p.
Autor:
Vasileva, Mariya1 (AUTHOR), Horstmann, Heinz1 (AUTHOR), Geumann, Constanze2 (AUTHOR), Gitler, Daniel3 (AUTHOR), Kuner, Thomas1 (AUTHOR)
Publikováno v:
European Journal of Neuroscience. Oct2012, Vol. 36 Issue 8, p3005-3020. 16p.
Akademický článek
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