Nishanth Shetty

PhD Student

Biography

Nishanth Shetty received the Bachelor of Technology degree from the Department of Electronics and Communication Engineering, PES University, Bengaluru India, in 2020. Since 2021, he has been pursuing the Ph.D. degree at Spectrum Lab, Department of Electrical Engineering, IISc. His research interests include generative modelling -- diffusion models, flow matching, and generative priors for inverse problems in computational imaging. He is a recipient of the Prime Minister's Research Fellowship, and the Qualcomm Innovation Fellowship India in 2023 (jointly with Kartheek Reddy) and in 2024

Publications

2025

ICASSP 25

Monte Carlo Score Matching for Image Generation

N. Shetty, and C. S. Seelamantula

In IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2025

BIB URL

@inproceedings{shetty2025monte,
  author = {Shetty, N. and Seelamantula, C. S.},
  booktitle = {IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)},
  title = {Monte Carlo Score Matching for Image Generation},
  url = {https://scholar.google.com/citations?view_op=view_citation&hl=en&user=1g1i1B4AAAAJ&cstart=200&pagesize=100&citation_for_view=1g1i1B4AAAAJ:tH6gc1N1XXoC},
  year = {2025}
}

2024

ICVGIP 24

Addressing Diffusion Model Based Counter-Forensic Image Manipulation for Synthetic Image Detection

A. N. Herur, V. Santhosh , N. Shetty, and C. S. Seelamantula

In Indian Conference on Computer Vision Graphics and Image Processing (ICVGIP), 2024

BIB URL

@inproceedings{herur2024addressing,
  author = {Herur, A. N. and Santhosh, V. and Shetty, N. and Seelamantula, C. S.},
  booktitle = {Indian Conference on Computer Vision Graphics and Image Processing (ICVGIP)},
  title = {Addressing Diffusion Model Based Counter-Forensic Image Manipulation for Synthetic Image Detection},
  url = {https://scholar.google.com/citations?view_op=view_citation&hl=en&user=1g1i1B4AAAAJ&cstart=200&pagesize=100&citation_for_view=1g1i1B4AAAAJ:nVrZBo8bIpAC},
  year = {2024}
}

ICASSP 24

Momentum-Imbued Langevin Dynamics (MILD) for Faster Sampling

N. Shetty, M. Bandla, N. Neema, S. Asokan, and C. S. Seelamantula

In IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2024

BIB URL

@inproceedings{shetty2024momentum,
  author = {Shetty, N. and Bandla, M. and Neema, N. and Asokan, S. and Seelamantula, C. S.},
  booktitle = {IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)},
  title = {Momentum-Imbued Langevin Dynamics (MILD) for Faster Sampling},
  url = {https://scholar.google.com/citations?view_op=view_citation&hl=en&user=1g1i1B4AAAAJ&cstart=200&pagesize=100&citation_for_view=1g1i1B4AAAAJ:ZzlSgRqYykMC},
  year = {2024}
}

2023

arXiv 23

Gans settle scores!

S. Asokan , N. Shetty, A. Srikanth, and C. S. Seelamantula

arXiv preprint arXiv:2306.01654, 2023

BIB URL

@article{asokan2023gans,
  author = {Asokan, S. and Shetty, N. and Srikanth, A. and Seelamantula, C. S.},
  journal = {arXiv preprint arXiv:2306.01654},
  title = {Gans settle scores!},
  url = {https://scholar.google.com/citations?view_op=view_citation&hl=en&user=1g1i1B4AAAAJ&cstart=100&pagesize=100&citation_for_view=1g1i1B4AAAAJ:LhH-TYMQEocC},
  year = {2023}
}