Prashant W. Patil

Orcid: 0000-0003-2604-6501

According to our database1, Prashant W. Patil authored at least 29 papers between 2018 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2023
LRNet: lightweight recurrent network for video dehazing.
Signal Image Video Process., June, 2023

Unified Multi-Weather Visibility Restoration.
IEEE Trans. Multim., 2023

Multi-weather Image Restoration via Domain Translation.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022
An End-to-End Network for Image De-Hazing and Beyond.
IEEE Trans. Emerg. Top. Comput. Intell., 2022

Progressive Subtractive Recurrent Lightweight Network for Video Deraining.
IEEE Signal Process. Lett., 2022

Dual-frame spatio-temporal feature modulation for video enhancement.
Pattern Recognit., 2022

Multi-frame based adversarial learning approach for video surveillance.
Pattern Recognit., 2022

Video Restoration Framework and Its Meta-adaptations to Data-Poor Conditions.
Proceedings of the Computer Vision - ECCV 2022, 2022

Robust Unseen Video Understanding for Various Surveillance Environments.
Proceedings of the 18th IEEE International Conference on Advanced Video and Signal Based Surveillance, 2022

Deep Network for Extremely Low-Resolution Human Action Recognition.
Proceedings of the 18th IEEE International Conference on Advanced Video and Signal Based Surveillance, 2022

2021
An Unified Recurrent Video Object Segmentation Framework for Various Surveillance Environments.
IEEE Trans. Image Process., 2021

Deep Adversarial Network for Scene Independent Moving Object Segmentation.
IEEE Signal Process. Lett., 2021

Motion estimation in hazy videos.
Pattern Recognit. Lett., 2021

Multi-frame Recurrent Adversarial Network for Moving Object Segmentation.
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2021

Video Enhancement with Single Frame.
Proceedings of the Computer Vision and Image Processing - 6th International Conference, 2021

Single Frame-Based Video Dehazing with Adversarial Learning.
Proceedings of the Computer Vision and Image Processing - 6th International Conference, 2021

2020
End-to-End Recurrent Generative Adversarial Network for Traffic and Surveillance Applications.
IEEE Trans. Veh. Technol., 2020

Deep Underwater Image Restoration and Beyond.
IEEE Signal Process. Lett., 2020

Depth Estimation From Single Image And Semantic Prior.
Proceedings of the IEEE International Conference on Image Processing, 2020

An End-to-End Edge Aggregation Network for Moving Object Segmentation.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Varicolored Image De-Hazing.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019
MSFgNet: A Novel Compact End-to-End Deep Network for Moving Object Detection.
IEEE Trans. Intell. Transp. Syst., 2019

FgGAN: A Cascaded Unpaired Learning for Background Estimation and Foreground Segmentation.
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2019

Motion Saliency Based Generative Adversarial Network for Underwater Moving Object Segmentation.
Proceedings of the 2019 IEEE International Conference on Image Processing, 2019

A Novel Saliency-Based Cascaded Approach for Moving Object Segmentation.
Proceedings of the Computer Vision and Image Processing - 4th International Conference, 2019

Image and Video Super Resolution using Recurrent Generative Adversarial Network.
Proceedings of the 16th IEEE International Conference on Advanced Video and Signal Based Surveillance, 2019

Pose Guided Dynamic Image Network for Human Action Recognition in Person Centric Videos.
Proceedings of the 16th IEEE International Conference on Advanced Video and Signal Based Surveillance, 2019

2018
MsEDNet: Multi-Scale Deep Saliency Learning for Moving Object Detection.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2018

Local Directional Gradient Based Feature learning for Image Retrieval.
Proceedings of the 13th IEEE International Conference on Industrial and Information Systems, 2018


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