Nitin Kumar

Affiliations:
  • Shiv Nadar Institution of Eminence, Gautam Buddha Nagar, India
  • LNM Institute of Information Technology, Jaipur, India (former)
  • Indian Institute of Technology Bombay, Computer Science and Engineering Department, Mumbai, India (PhD)


According to our database1, Nitin Kumar authored at least 12 papers between 2013 and 2026.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
DMDSC: A Dynamic-Margin Deep Simplex Classifier for Open-Set Recognition on Medical Image Datasets.
CoRR, May, 2026

UCDSC: Open Set UnCertainty aware Deep Simplex Classifier for Medical Image Datasets.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2026

ARMARecon: An ARMA Convolutional Filter Based Graph Neural Network for Neurodegenerative Dementias Classification.
Proceedings of the 23rd IEEE International Symposium on Biomedical Imaging, 2026

2025
UnSegMedGAT: Unsupervised Medical Image Segmentation Using Graph Attention Networks Clustering.
Proceedings of the 22nd IEEE International Symposium on Biomedical Imaging, 2025

2024
UnSegGNet: Unsupervised Image Segmentation using Graph Neural Networks.
CoRR, 2024

Simsam: Simple Siamese Representations Based Semantic Affinity Matrix for Unsupervised Image Segmentation.
Proceedings of the IEEE International Conference on Image Processing, 2024

UnSeGArmaNet: Unsupervised Image Segmentation using Graph Neural Networks with Convolutional ARMA Filters.
Proceedings of the 35th British Machine Vision Conference, 2024

2020
Semi-Supervised Robust Mixture Models in RKHS for Abnormality Detection in Medical Images.
IEEE Trans. Image Process., 2020

2019
Semi-Supervised Robust One-Class Classification in RKHS for Abnormality Detection in Medical Images.
Proceedings of the 2019 IEEE International Conference on Image Processing, 2019

2017
Kernel Generalized-Gaussian Mixture Model for Robust Abnormality Detection.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017

Kernel generalized Gaussian and robust statistical learning for abnormality detection in medical images.
Proceedings of the 2017 IEEE International Conference on Image Processing, 2017

2013
Text Simplification for Enhanced Readability.
Proceedings of the KDIR/KMIS 2013 - Proceedings of the International Conference on Knowledge Discovery and Information Retrieval and the International Conference on Knowledge Management and Information Sharing, Vilamoura, Algarve, Portugal, 19, 2013


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