Koutilya PNVR

Koutilya PNVR

University of Maryland

H-index: 5

North America-United States

About Koutilya PNVR

Koutilya PNVR, With an exceptional h-index of 5 and a recent h-index of 5 (since 2020), a distinguished researcher at University of Maryland, specializes in the field of Computer Vision, Deep Learning, Generative Models, Image Segmentation, Domain Adaptation.

His recent articles reflect a diverse array of research interests and contributions to the field:

Mapping sugarcane residue burnt areas in smallholder farming systems using machine learning approaches

Ld-znet: A latent diffusion approach for text-based image segmentation

PhenoCrop: An integrated satellite-based framework to estimate physiological growth stages of corn and soybeans

Pre-season crop type mapping using deep neural networks

Sharingan: Combining synthetic and real data for unsupervised geometry estimation

Koutilya PNVR Information

University

Position

Graduate Student at

Citations(all)

266

Citations(since 2020)

257

Cited By

46

hIndex(all)

5

hIndex(since 2020)

5

i10Index(all)

5

i10Index(since 2020)

5

Email

University Profile Page

Google Scholar

Koutilya PNVR Skills & Research Interests

Computer Vision

Deep Learning

Generative Models

Image Segmentation

Domain Adaptation

Top articles of Koutilya PNVR

Mapping sugarcane residue burnt areas in smallholder farming systems using machine learning approaches

Smart Agricultural Technology

2023/12/1

Ld-znet: A latent diffusion approach for text-based image segmentation

2023

PhenoCrop: An integrated satellite-based framework to estimate physiological growth stages of corn and soybeans

International Journal of Applied Earth Observation and Geoinformation

2020/10/1

Pre-season crop type mapping using deep neural networks

Computers and Electronics in Agriculture

2020/9/1

Koutilya Pnvr
Koutilya Pnvr

H-Index: 2

Sharingan: Combining synthetic and real data for unsupervised geometry estimation

2020

See List of Professors in Koutilya PNVR University(University of Maryland)

Co-Authors

academic-engine