Prashant W. Patil

About Prashant W. Patil

Prashant W. Patil, With an exceptional h-index of 15 and a recent h-index of 15 (since 2020), a distinguished researcher at Indian Institute of Technology Ropar, specializes in the field of Computer Vision, Object Segmentation, Restoration.

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

Multi-weather Image Restoration via Domain Translation

Unified multi-weather visibility restoration

Deep Network for Extremely Low-Resolution Human Action Recognition

Video restoration framework and its meta-adaptations to data-poor conditions

Dual-frame spatio-temporal feature modulation for video enhancement

Multi‐frame based adversarial learning approach for video surveillance

Progressive subtractive recurrent lightweight network for video deraining

Motion estimation in hazy videos

Prashant W. Patil Information

University

Position

Research Scholar

Citations(all)

654

Citations(since 2020)

642

Cited By

119

hIndex(all)

15

hIndex(since 2020)

15

i10Index(all)

20

i10Index(since 2020)

20

Email

University Profile Page

Indian Institute of Technology Ropar

Google Scholar

View Google Scholar Profile

Prashant W. Patil Skills & Research Interests

Computer Vision

Object Segmentation

Restoration

Top articles of Prashant W. Patil

Title

Journal

Author(s)

Publication Date

Multi-weather Image Restoration via Domain Translation

Prashant W Patil

Sunil Gupta

Santu Rana

Svetha Venkatesh

Subrahmanyam Murala

2023

Unified multi-weather visibility restoration

IEEE Transactions on Multimedia

Ashutosh Kulkarni

Prashant W Patil

Subrahmanyam Murala

Sunil Gupta

2022/11/30

Deep Network for Extremely Low-Resolution Human Action Recognition

Proceedings of the IEEE AVSS-2022

PW Patil

S Chaudhary

S Murala

A Dudhane

2022/12/9

Video restoration framework and its meta-adaptations to data-poor conditions

Prashant W Patil

Sunil Gupta

Santu Rana

Svetha Venkatesh

2022/10/20

Dual-frame spatio-temporal feature modulation for video enhancement

Pattern Recognition

Prashant W Patil

Sunil Gupta

Santu Rana

Svetha Venkatesh

2022/10/1

Multi‐frame based adversarial learning approach for video surveillance

Pattern Recognition

Prashant W Patil

Akshay Dudhane

Sachin Chaudhary

Subrahmanyam Murala

2022/2/1

Progressive subtractive recurrent lightweight network for video deraining

IEEE Signal Processing Letters

Ashutosh Kulkarni

Prashant W Patil

Subrahmanyam Murala

2022

Motion estimation in hazy videos

Pattern Recognition Letters

Sachin Chaudhary

Akshay Dudhane

Prashant W Patil

Subrahmanyam Murala

Sanjay Talbar

2021/10/1

An unified recurrent video object segmentation framework for various surveillance environments

IEEE Transactions on Image Processing

Prashant W Patil

Akshay Dudhane

Ashutosh Kulkarni

Subrahmanyam Murala

Anil Balaji Gonde

...

2021/9/3

Deep adversarial network for scene independent moving object segmentation

IEEE Signal Processing Letters

Prashant W Patil

Akshay Dudhane

Subrahmanyam Murala

Anil Balaji Gonde

2021/2/12

Multi-frame recurrent adversarial network for moving object segmentation

Prashant W Patil

Akshay Dudhane

Subrahmanyam Murala

2021

An end-to-end edge aggregation network for moving object segmentation

Prashant W Patil

Kuldeep M Biradar

Akshay Dudhane

Subrahmanyam Murala

2020

End-to-end recurrent generative adversarial network for traffic and surveillance applications

IEEE Transactions on Vehicular Technology

Prashant W Patil

Akshay Dudhane

Subrahmanyam Murala

2020/12/9

A novel saliency-based cascaded approach for moving object segmentation

Prashant W Patil

Akshay Dudhane

Subrahmanyam Murala

Anil B Gonde

2019/9/27

An end-to-end network for image de-hazing and beyond

IEEE Transactions on Emerging Topics in Computational Intelligence

Akshay Dudhane

Prashant W Patil

Subrahmanyam Murala

2020/11/12

Depth estimation from single image and semantic prior

Praful Hambarde

Akshay Dudhane

Prashant W Patil

Subrahmanyam Murala

Abhinav Dhall

2020/10/25

Deep underwater image restoration and beyond

IEEE Signal Processing Letters

Akshay Dudhane

Praful Hambarde

Prashant Patil

Subrahmanyam Murala

2020/4/20

Varicolored image de-hazing

Akshay Dudhane

Kuldeep M Biradar

Prashant W Patil

Praful Hambarde

Subrahmanyam Murala

2020

See List of Professors in Prashant W. Patil University(Indian Institute of Technology Ropar)

Co-Authors

H-index: 78
Svetha Venkatesh

Svetha Venkatesh

Deakin University

H-index: 40
Sunil Gupta

Sunil Gupta

Deakin University

H-index: 39
Abhinav Dhall

Abhinav Dhall

Monash University

H-index: 36
Subrahmanyam Murala

Subrahmanyam Murala

Indian Institute of Technology Ropar

H-index: 31
Prof. R P Maheshwari

Prof. R P Maheshwari

Indian Institute of Technology Roorkee

H-index: 26
Santu Rana

Santu Rana

Deakin University

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