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20242026
most citedHyperCap: Hyperspectral Land Cover Captioning Dataset for Vision Language Models

1 citations · 1 across the 1 of their papers we have counts for

collaborators

14 papers

cs.CV20261 cited

HyperCap: Hyperspectral Land Cover Captioning Dataset for Vision Language Models

Aryan Das, Tanishq Rachamalla, Pravendra Singh +5

We introduce HyperCap, the first large-scale hyperspectral captioning dataset designed to enhance model performance and effectiveness in remote sensing applications. Unlike traditi…

stat.ML2025

Beyond Noise: A Hypothesis Testing Approach to Robust Feature Selection

Mousam Sinha, Tirtha Sarathi Ghosh, Koushik Biswas +1

Feature selection remains difficult in modern high-dimensional settings, and established methods such as Boruta and Recursive Feature Elimination are either computationally costly…

eess.IV2025

Predicting Risk of Pulmonary Fibrosis Formation in PASC Patients

Wanying Dou, Gorkem Durak, Koushik Biswas +14

While the acute phase of the COVID-19 pandemic has subsided, its long-term effects persist through Post-Acute Sequelae of COVID-19 (PASC), commonly known as Long COVID. There remai…

cs.CV2025

Is Long Range Sequential Modeling Necessary For Colorectal Tumor Segmentation?

Abhishek Srivastava, Koushik Biswas, Gorkem Durak +3

Segmentation of colorectal cancer (CRC) tumors in 3D medical imaging is both complex and clinically critical, providing vital support for effective radiation therapy planning and s…

cs.CV2025

PolypDB: A Curated Multi-Center Dataset for Development of AI Algorithms in Colonoscopy

Debesh Jha, Nikhil Kumar Tomar, Vanshali Sharma +19

Colonoscopy is the primary method for examination, detection, and removal of polyps. However, challenges such as variations among the endoscopists' skills, bowel quality preparatio…

eess.IV2024

Frequency-Based Federated Domain Generalization for Polyp Segmentation

Hongyi Pan, Debesh Jha, Koushik Biswas +1

Federated Learning (FL) offers a powerful strategy for training machine learning models across decentralized datasets while maintaining data privacy, yet domain shifts among client…