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researcher

A. Mehta

4 papers hereh-index 4114 citations8 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author2
  • middle author2

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • cs.CV3
  • eess.IV1
same name
  • A. Mehta — 618 papers
  • A. Mehta — 319 papers
  • A. Mehta — 115 papers, h 0
  • A. Mehta — 53 papers, h 30
  • A. Mehta — 50 papers, h 22
  • A. Mehta — 28 papers, h 28

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20202025
most citedLearning to Enhance Visual Quality via Hyperspectral Domain Mapping

1 citations · 1 across the 4 of their papers we have counts for

collaborators

4 papers

cs.CV2025

Exposing DeepFakes via Hyperspectral Domain Mapping

Aditya Mehta, Swarnim Chaudhary, Pratik Narang +1

Modern generative and diffusion models produce highly realistic images that can mislead human perception and even sophisticated automated detection systems. Most detection methods…

cs.CV2024

LDFaceNet: Latent Diffusion-based Network for High-Fidelity Deepfake Generation

Dwij Mehta, Aditya Mehta, Pratik Narang

Over the past decade, there has been tremendous progress in the domain of synthetic media generation. This is mainly due to the powerful methods based on generative adversarial net…

eess.IV2021★ 1 cited

Learning to Enhance Visual Quality via Hyperspectral Domain Mapping

Harsh Sinha, Aditya Mehta, Murari Mandal +1

Deep learning based methods have achieved remarkable success in image restoration and enhancement, but most such methods rely on RGB input images. These methods fail to take into a…

cs.CV2020

Domain-Aware Unsupervised Hyperspectral Reconstruction for Aerial Image Dehazing

Aditya Mehta, Harsh Sinha, Murari Mandal +1

Haze removal in aerial images is a challenging problem due to considerable variation in spatial details and varying contrast. Changes in particulate matter density often lead to de…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.