Nitika Nigam

Orcid: 0000-0001-7389-6168

According to our database1, Nitika Nigam authored at least 11 papers between 2018 and 2026.

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

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
ForgeDtSTNet: A spatio-temporal deep learning approach for accurate copy-move forgery detection in digital images.
Comput. Electr. Eng., 2026

2024
From Lab to Field: Robustness Analysis of Plant Disease Recognition Models in Uncontrolled Environment.
Proceedings of the Machine Learning, Image Processing, Network Security and Data Sciences, 2024

CKGFLNet: A Fast Hybrid Architecture for Hyperspectral Image Classification Leveraging Kaiming-Gaussian Attention.
Proceedings of the Machine Learning, Image Processing, Network Security and Data Sciences, 2024

2023
Emotion and Gesture Guided Action Recognition in Videos Using Supervised Deep Networks.
IEEE Trans. Comput. Soc. Syst., October, 2023

Fall-Perceived Action Recognition of Persons With Neurological Disorders Using Semantic Supervision.
IEEE Trans. Cogn. Dev. Syst., March, 2023

Supervised Attention Network for Arbitrary-Shaped Text Detection in Edge-Fainted Noisy Scene Images.
IEEE Trans. Comput. Soc. Syst., 2023

2022
Met-MLTS: Leveraging Smartphones for End-to-End Spotting of Multilingual Oriented Scene Texts and Traffic Signs in Adverse Meteorological Conditions.
IEEE Trans. Intell. Transp. Syst., 2022

FactorNet: Holistic Actor, Object, and Scene Factorization for Action Recognition in Videos.
IEEE Trans. Circuits Syst. Video Technol., 2022

A Fast, Multi-Camera, and Intelligent System for Exact Stampede Detection in Large Crowds.
Proceedings of the 20th ACM Conference on Embedded Networked Sensor Systems, 2022

Crowd crush detection in large mass gatherings via federated learning across multicamera environment: poster abstract.
Proceedings of the 9th ACM International Conference on Systems for Energy-Efficient Buildings, 2022

2018
Lexicon-Based Approach to Sentiment Analysis of Tweets Using R Language.
Proceedings of the Advances in Computing and Data Sciences, 2018


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