Diabetic Retinopathy Detection using Vision Transformers
Deep learning system for automated diabetic retinopathy screening achieving 94% accuracy using Vision Transformers, deployed on AWS Lambda
Deep learning system for automated diabetic retinopathy screening achieving 94% accuracy using Vision Transformers, deployed on AWS Lambda
Advanced retrieval-augmented generation system combining Neo4j knowledge graphs and Pinecone vector search, achieving 4.58/5.0 response quality
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Published in IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) 2026, 2026
A novel framework for Open-Set Recognition leveraging Neural Collapse and a custom loss function to penalize open-space regions, validated across medical imaging datasets
Recommended citation: Arnav Aditya, Nitin Kumar, and Saurabh Shigwan. "UCDSC: Open Set UnCertainty aware Deep Simplex Classifier for Medical Image Datasets." In Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), pp. 4787-4796. 2026.
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Published in arXiv preprint, 2026
A Dynamic-Margin Deep Simplex Classifier leveraging neural collapse properties for open-set recognition on medical imaging datasets.
Recommended citation: Vishal, Arnav Aditya, Nitin Kumar, and Saurabh Shigwan. "DMDSC: A Dynamic-Margin Deep Simplex Classifier for Open-Set Recognition on Medical Image Datasets." arXiv preprint arXiv:2605.00675 (2026).
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Published in arXiv preprint, 2026
A novel framework combining temporally ordered Mamba with logit-space diffusion for change detection in remote sensing imagery.
Recommended citation: Anuvab Sen, Maneet Chatterjee, Aparup Ghosh, Udayon Sen, Arnav Aditya and Yixin Zhang. "Temporally Ordered Region-Token Mamba with Logit-Space Diffusion for Remote Sensing Change Detection." arXiv preprint arXiv:2609.27149 (2026).
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Undergraduate course, University 1, Department, 2014
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Workshop, University 1, Department, 2015
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