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Jay Mehta

dblp:37/9690 · DBLP profile ↗
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2ranked-venue papers
1as first author
2since 2021 · last 2025
—ORCID · none

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

Artificial intelligence and machine learning · 2 · 1 first-author · 2 since 2021Graphics, computer vision, multimedia, augmented reality and games · 1 · 1 since 2021

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 · 100%
Computer graphics and multimedia
1 paper
Audio and music processing · 100%

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

TopicWeightPapersLastEvidence papers
Machine learning › Generative modeling › motion generation
dance generation
0.912025
MDD: A Dataset for Text-and-Music Conditioned Duet Dance Generation · ICCV 2025
Machine learning › Generative modeling
diffusion model
0.912025
MDD: A Dataset for Text-and-Music Conditioned Duet Dance Generation · ICCV 2025
Audio and music processing
music-conditioned generation
0.912025
MDD: A Dataset for Text-and-Music Conditioned Duet Dance Generation · ICCV 2025

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

text-and-music conditioning · 1.7
YearPublicationVenuePosition
2025 MDD: A Dataset for Text-and-Music Conditioned Duet Dance Generation
Prerit Gupta, Jason Alexander Fotso-Puepi, Zhengyuan Li, Jay Mehta, Aniket Bera
ICCV4
2023 Regenerating vital facial keypoints for impostor identification from disguised images using CNN
Jay Mehta, Shreya Talati, Shivani Upadhyay, Sharada Ramakrishna Valiveti, Gaurang Raval
Expert Syst. Appl.1