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

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


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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


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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

* 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 

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Lightweight Modules for Efficient Deep Learning based Image Restoration

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

* 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 

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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

* Under review at ICIP2020 

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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


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Faster Unsupervised Semantic Inpainting: A GAN Based Approach

Aug 14, 2019
Avisek Lahiri, Arnav Kumar Jain, Divyasri Nadendla, Prabir Kumar Biswas

* Accepted as full paper at IEEE ICIP, 2019 

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Fast Bayesian Uncertainty Estimation of Batch Normalized Single Image Super-Resolution Network

Mar 22, 2019
Aupendu Kar, Prabir Kumar Biswas


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Improved Techniques for GAN based Facial Inpainting

Oct 20, 2018
Avisek Lahiri, Arnav Jain, Divyasri Nadendla, Prabir Kumar Biswas

* 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 

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Unsupervised Domain Adaptation for Learning Eye Gaze from a Million Synthetic Images: An Adversarial Approach

Oct 18, 2018
Avisek Lahiri, Abhinav Agarwalla, Prabir Kumar Biswas


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Retinal Vessel Segmentation under Extreme Low Annotation: A Generative Adversarial Network Approach

Sep 05, 2018
Avisek Lahiri, Vineet Jain, Arnab Mondal, Prabir Kumar Biswas

* * First 3 authors contributed equally 

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Improving Consistency and Correctness of Sequence Inpainting using Semantically Guided Generative Adversarial Network

Nov 17, 2017
Avisek Lahiri, Arnav Jain, Prabir Kumar Biswas, Pabitra Mitra


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Deep Neural Ensemble for Retinal Vessel Segmentation in Fundus Images towards Achieving Label-free Angiography

Sep 19, 2016
Avisek Lahiri, Abhijit Guha Roy, Debdoot Sheet, Prabir Kumar Biswas

* Accepted as a conference paper at IEEE EMBC, 2016 

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Forward Stagewise Additive Model for Collaborative Multiview Boosting

Aug 05, 2016
Avisek Lahiri, Biswajit Paria, Prabir Kumar Biswas

* The manuscript is currently under "Minor Revision" at IEEE Transactions on Neural Networks and Learning Systems 

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WEPSAM: Weakly Pre-Learnt Saliency Model

May 03, 2016
Avisek Lahiri, Sourya Roy, Anirban Santara, Pabitra Mitra, Prabir Kumar Biswas


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