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A list of all the posts and pages found on the site. For you robots out there, there is an XML version available for digesting as well.
Pages
Posts
Future Blog Post
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Blog Post number 4
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Blog Post number 3
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Blog Post number 2
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Blog Post number 1
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portfolio
Portfolio item number 1
Short description of portfolio item number 1
Portfolio item number 2
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publications
Prototypical Quadruplet for Few-Shot Class Incremental Learning
Published in Procedia Computer Science, 2023
A prototypical few-shot class-incremental learning framework with contrastive embedding optimization and prototype re-centering for mitigating catastrophic forgetting and improving robust classification under limited data settings
Recommended citation: Sanchar Palit, Subhasis Chaudhuri, and Biplab Banerjee, "Prototypical Quadruplet for Few-Shot Class Incremental Learning", Procedia Computer Science, presented at INNS DLIA, IJCNN 2023
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Variational Distribution and Experience Replay for 3D Reconstruction in a Continual Learning Framework
Published in Proceedings of the Fifteenth Indian Conference on Computer Vision Graphics and Image Processing, 2024
A continual learning framework for single-image 3D reconstruction that leverages variational latent priors and saliency map-based replay to preserve geometric structure and accurately reconstruct both previously seen and newly learned object classes. Best Paper Award — ICVGIP 2024
Recommended citation: Sanchar Palit and Sandika Biswas, "Variational Distribution and Experience Replay for 3D Reconstruction in a Continual Learning Framework", ICVGIP, 2024.
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Revised Regularization for Efficient Continual Learning through Correlation-Based Parameter Update in Bayesian Neural Networks
Published in Proceedings of the Fifteenth Indian Conference on Computer Vision Graphics and Image Processing, 2024
A variational continual learning framework for Bayesian neural networks with parameter-efficient distribution learning, revised KL-based regularization, and importance-weighted ELBO for reducing catastrophic forgetting and improving knowledge transfer
Recommended citation: Sanchar Palit, Subhasis Chaudhuri, and Biplab Banerjee, "Revised Regularization for Efficient Continual Learning through Correlation-Based Parameter Update in Bayesian Neural Networks", ICVGIP, 2024.
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Local-global context-aware and structure-preserving image super-resolution
Published in Neurocomputing, 2026
A multi-step diffusion-based image super-resolution framework that integrates local-global context-aware attention and distribution alignment for perceptually faithful image reconstruction.
Recommended citation: Sanchar Palit, Subhasis Chaudhuri, and Biplab Banerjee, "Local-Global Context-Aware and Structure-Preserving Image Super-Resolution," Neurocomputing, Elsevier, 2026.
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Discontinuity-Preserving Image Super-Resolution using MRF-Regularized One-Step Diffusion
Published in Transactions on Machine Learning Research, 2026
A single-step diffusion-based image super-resolution framework with MRF prior regularization for efficient, sharp, and fast image super-resolution.
Recommended citation: Sanchar Palit, Subhasis Chaudhuri, and Biplab Banerjee, "Discontinuity-Preserving Image Super-Resolution using MRF-Regularized One-Step Diffusion", accepted at Transactions on Machine Learning Research (TMLR), 2026
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talks
Talk 1 on Relevant Topic in Your Field
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Conference Proceeding talk 3 on Relevant Topic in Your Field
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This is a description of your conference proceedings talk, note the different field in type. You can put anything in this field.
teaching
Teaching experience 1
Undergraduate course, University 1, Department, 2014
This is a description of a teaching experience. You can use markdown like any other post.
Teaching experience 2
Workshop, University 1, Department, 2015
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