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Narinder Singh Punn
Narinder Singh Punn
Assistant Professor, ABV-IIITM Gwalior | Postdoc Mayo Clinic, Arizona, USA
Verified email at iiitm.ac.in - Homepage
Title
Cited by
Cited by
Year
Monitoring COVID-19 social distancing with person detection and tracking via fine-tuned YOLO v3 and Deepsort techniques
NS Punn, SK Sonbhadra, S Agarwal, G Rai
arXiv preprint arXiv:2005.01385, 2020
3092020
Face mask detection using transfer learning of inceptionv3
G Jignesh Chowdary, NS Punn, SK Sonbhadra, S Agarwal
Big Data Analytics: 8th International Conference, BDA 2020, Sonepat, India …, 2020
3022020
COVID-19 epidemic analysis using machine learning and deep learning algorithms
NS Punn, SK Sonbhadra, S Agarwal
MedRxiv, 2020.04. 08.20057679, 2020
2882020
Automated diagnosis of COVID-19 with limited posteroanterior chest X-ray images using fine-tuned deep neural networks
NS Punn, S Agarwal
Applied Intelligence 51 (5), 2689-2702, 2021
2212021
Modality specific U-Net variants for biomedical image segmentation: a survey
NS Punn, S Agarwal
Artificial Intelligence Review 55 (7), 5845-5889, 2022
1102022
Inception u-net architecture for semantic segmentation to identify nuclei in microscopy cell images
NS Punn, S Agarwal
ACM Transactions on Multimedia Computing, Communications, and Applications …, 2020
982020
Unleashing the power of disruptive and emerging technologies amid COVID-19: A detailed review
S Agarwal, NS Punn, SK Sonbhadra, M Tanveer, P Nagabhushan, ...
arXiv preprint arXiv:2005.11507, 2020
852020
RCA-IUnet: a residual cross-spatial attention-guided inception U-Net model for tumor segmentation in breast ultrasound imaging
NS Punn, S Agarwal
Machine Vision and Applications 33 (2), 27, 2022
442022
Bert-based sentiment analysis: A software engineering perspective
H Batra, NS Punn, SK Sonbhadra, S Agarwal
Database and Expert Systems Applications: 32nd International Conference …, 2021
402021
Monitoring COVID-19 social distancing with person detection and tracking via fine-tuned YOLO v3 and Deepsort techniques. arXiv 2020
NS Punn, SK Sonbhadra, S Agarwal, G Rai
arXiv preprint arXiv:2005.01385, 2005
382005
Chs-net: A deep learning approach for hierarchical segmentation of covid-19 via ct images
NS Punn, S Agarwal
Neural Processing Letters 54 (5), 3771-3792, 2022
372022
Multi-modality encoded fusion with 3D inception U-net and decoder model for brain tumor segmentation
NS Punn, S Agarwal
Multimedia tools and applications 80 (20), 30305-30320, 2021
362021
Crowd analysis for congestion control early warning system on foot over bridge
NS Punn, S Agarwal
2019 twelfth international conference on contemporary computing (IC3), 1-6, 2019
322019
Hate speech detection using static bert embeddings
G Rajput, NS Punn, SK Sonbhadra, S Agarwal
Big Data Analytics: 9th International Conference, BDA 2021, Virtual Event …, 2021
202021
BT-Unet: A self-supervised learning framework for biomedical image segmentation using barlow twins with U-net models
NS Punn, S Agarwal
Machine Learning 111 (12), 4585-4600, 2022
192022
COVID-19 epidemic analysis using machine learning and deep learning algorithms. medRxiv 2020
NS Punn, SK Sonbhadra, S Agarwal
Google Scholar][CrossRef][Green Version], 0
17
White blood cell subtype detection and classification
N Praveen, NS Punn, SK Sonbhadra, S Agarwal, M Syafrullah, K Adiyarta
2021 8th International Conference on Electrical Engineering, Computer …, 2021
162021
Anomaly detection in surveillance videos using transformer based attention model
K Deshpande, NS Punn, SK Sonbhadra, S Agarwal
International Conference on Neural Information Processing, 199-211, 2022
132022
Enhanced behavioral cloning-based self-driving car using transfer learning
U Sumanth, NS Punn, SK Sonbhadra, S Agarwal
Data Management, Analytics and Innovation: Proceedings of ICDMAI 2021 …, 2021
132021
Addressing the class imbalance problem in medical image segmentation via accelerated tversky loss function
N Nasalwai, NS Punn, SK Sonbhadra, S Agarwal
Pacific-Asia conference on knowledge discovery and data mining, 390-402, 2021
132021
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