Prabir Kumar Biswas

Self Supervised Low Dose Computed Tomography Image Denoising Using Invertible Network Exploiting Inter Slice Congruence

Nov 03, 2022
Sutanu Bera, Prabir Kumar Biswas

Figure 2 for Self Supervised Low Dose Computed Tomography Image Denoising Using Invertible Network Exploiting Inter Slice Congruence

Figure 3 for Self Supervised Low Dose Computed Tomography Image Denoising Using Invertible Network Exploiting Inter Slice Congruence

Figure 4 for Self Supervised Low Dose Computed Tomography Image Denoising Using Invertible Network Exploiting Inter Slice Congruence

* 10 pages, Accepted in IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) 2023

Access Paper or Ask Questions

Sub-Aperture Feature Adaptation in Single Image Super-resolution Model for Light Field Imaging

Jul 26, 2022
Aupendu Kar, Suresh Nehra, Jayanta Mukhopadhyay, Prabir Kumar Biswas

Figure 2 for Sub-Aperture Feature Adaptation in Single Image Super-resolution Model for Light Field Imaging

Figure 3 for Sub-Aperture Feature Adaptation in Single Image Super-resolution Model for Light Field Imaging

Figure 4 for Sub-Aperture Feature Adaptation in Single Image Super-resolution Model for Light Field Imaging

* \c{opyright} 2022 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works

Access Paper or Ask Questions

Texture Aware Autoencoder Pre-training And Pairwise Learning Refinement For Improved Iris Recognition

Feb 15, 2022
Manashi Chakraborty, Aritri Chakraborty, Prabir Kumar Biswas, Pabitra Mitra

Figure 2 for Texture Aware Autoencoder Pre-training And Pairwise Learning Refinement For Improved Iris Recognition

Figure 3 for Texture Aware Autoencoder Pre-training And Pairwise Learning Refinement For Improved Iris Recognition

Figure 4 for Texture Aware Autoencoder Pre-training And Pairwise Learning Refinement For Improved Iris Recognition

Access Paper or Ask Questions

Iterative Gradient Encoding Network with Feature Co-Occurrence Loss for Single Image Reflection Removal

Mar 29, 2021
Sutanu Bera, Prabir Kumar Biswas

Figure 2 for Iterative Gradient Encoding Network with Feature Co-Occurrence Loss for Single Image Reflection Removal

Figure 3 for Iterative Gradient Encoding Network with Feature Co-Occurrence Loss for Single Image Reflection Removal

Figure 4 for Iterative Gradient Encoding Network with Feature Co-Occurrence Loss for Single Image Reflection Removal

* Submitted to IEEE International Conference of Image Processing (ICIP)

Access Paper or Ask Questions

A Novel Approach for Earthquake Early Warning System Design using Deep Learning Techniques

Jan 16, 2021
Tonumoy Mukherjee, Chandrani Singh, Prabir Kumar Biswas

Figure 2 for A Novel Approach for Earthquake Early Warning System Design using Deep Learning Techniques

Figure 3 for A Novel Approach for Earthquake Early Warning System Design using Deep Learning Techniques

Figure 4 for A Novel Approach for Earthquake Early Warning System Design using Deep Learning Techniques

Access Paper or Ask Questions

Noise Conscious Training of Non Local Neural Network powered by Self Attentive Spectral Normalized Markovian Patch GAN for Low Dose CT Denoising

Nov 11, 2020
Sutanu Bera, Prabir Kumar Biswas

Figure 1 for Noise Conscious Training of Non Local Neural Network powered by Self Attentive Spectral Normalized Markovian Patch GAN for Low Dose CT Denoising

Figure 2 for Noise Conscious Training of Non Local Neural Network powered by Self Attentive Spectral Normalized Markovian Patch GAN for Low Dose CT Denoising

Figure 3 for Noise Conscious Training of Non Local Neural Network powered by Self Attentive Spectral Normalized Markovian Patch GAN for Low Dose CT Denoising

Figure 4 for Noise Conscious Training of Non Local Neural Network powered by Self Attentive Spectral Normalized Markovian Patch GAN for Low Dose CT Denoising

Access Paper or Ask Questions

Transmission Map and Atmospheric Light Guided Iterative Updater Network for Single Image Dehazing

Aug 04, 2020
Aupendu Kar, Sobhan Kanti Dhara, Debashis Sen, Prabir Kumar Biswas

Figure 2 for Transmission Map and Atmospheric Light Guided Iterative Updater Network for Single Image Dehazing

Figure 3 for Transmission Map and Atmospheric Light Guided Iterative Updater Network for Single Image Dehazing

Figure 4 for Transmission Map and Atmospheric Light Guided Iterative Updater Network for Single Image Dehazing

* First two authors contributed equally. This work has been submitted to the IEEE for possible publication. Copyright may be transferred without notice, after which this version may no longer be accessible. Project Website: https://aupendu.github.io/iterative-dehaze

Access Paper or Ask Questions

Lightweight Modules for Efficient Deep Learning based Image Restoration

Jul 11, 2020
Avisek Lahiri, Sourav Bairagya, Sutanu Bera, Siddhant Haldar, Prabir Kumar Biswas

Figure 2 for Lightweight Modules for Efficient Deep Learning based Image Restoration

Figure 3 for Lightweight Modules for Efficient Deep Learning based Image Restoration

Figure 4 for Lightweight Modules for Efficient Deep Learning based Image Restoration

* Accepted at: IEEE Transactions on Circuits and Systems for Video Technology (Early Access Print) | |Codes Available at: https://github.com/avisekiit/TCSVT-LightWeight-CNNs | Supplementary Document at: https://drive.google.com/file/d/1BQhkh33Sen-d0qOrjq5h8ahw2VCUIVLg/view?usp=sharing

Access Paper or Ask Questions

Unsupervised Pre-trained, Texture Aware And Lightweight Model for Deep Learning-Based Iris Recognition Under Limited Annotated Data

Feb 20, 2020
Manashi Chakraborty, Mayukh Roy, Prabir Kumar Biswas, Pabitra Mitra

Figure 1 for Unsupervised Pre-trained, Texture Aware And Lightweight Model for Deep Learning-Based Iris Recognition Under Limited Annotated Data

Figure 2 for Unsupervised Pre-trained, Texture Aware And Lightweight Model for Deep Learning-Based Iris Recognition Under Limited Annotated Data

Figure 3 for Unsupervised Pre-trained, Texture Aware And Lightweight Model for Deep Learning-Based Iris Recognition Under Limited Annotated Data

Figure 4 for Unsupervised Pre-trained, Texture Aware And Lightweight Model for Deep Learning-Based Iris Recognition Under Limited Annotated Data

* Under review at ICIP2020

Access Paper or Ask Questions

The Angel is in the Priors: Improving GAN based Image and Sequence Inpainting with Better Noise and Structural Priors

Aug 16, 2019
Avisek Lahiri, Arnav Kumar Jain, Prabir Kumar Biswas

Figure 2 for The Angel is in the Priors: Improving GAN based Image and Sequence Inpainting with Better Noise and Structural Priors

Figure 3 for The Angel is in the Priors: Improving GAN based Image and Sequence Inpainting with Better Noise and Structural Priors

Figure 4 for The Angel is in the Priors: Improving GAN based Image and Sequence Inpainting with Better Noise and Structural Priors

Access Paper or Ask Questions

1

2

>>