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Risab Biswas

4 papers here

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • sole author2
  • first author2

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • cs.CV2
  • eess.IV2

identity via Semantic Scholar / OpenAlex

most citedPolyp-SAM++: Can A Text Guided SAM Perform Better for Polyp Segmentation?

10 citations · 10 across the 2 of their papers we have counts for

collaborators

4 papers

eess.IV2024

Multi-Task Multi-Scale Contrastive Knowledge Distillation for Efficient Medical Image Segmentation

Risab Biswas

This thesis aims to investigate the feasibility of knowledge transfer between neural networks for medical image segmentation tasks, specifically focusing on the transfer from a lar…

cs.CV2023

A Layer-Wise Tokens-to-Token Transformer Network for Improved Historical Document Image Enhancement

Risab Biswas, Swalpa Kumar Roy, Umapada Pal

Document image enhancement is a fundamental and important stage for attaining the best performance in any document analysis assignment because there are many degradation situations…

cs.CV2023

DocBinFormer: A Two-Level Transformer Network for Effective Document Image Binarization

Risab Biswas, Swalpa Kumar Roy, Ning Wang +2

In real life, various degradation scenarios exist that might damage document images, making it harder to recognize and analyze them, thus binarization is a fundamental and crucial…

eess.IV2023★ 10 cited

Polyp-SAM++: Can A Text Guided SAM Perform Better for Polyp Segmentation?

Risab Biswas

Meta recently released SAM (Segment Anything Model) which is a general-purpose segmentation model. SAM has shown promising results in a wide variety of segmentation tasks including…

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