K. Deepak

12 papers Journal 9Unranked 3
YearRankTypeTitle / Venue / Authors
2024 — conf
Appearance-Trajectory Network for Video Anomaly Detection System.
ICCCNT
K. Ram Prasath, V. Sowmya, K. Deepak, B. Premjith, G. Jyothish Lal
2024 J jnl
Batch Normalization Free Rigorous Feature Flow Neural Network for Grocery Product Recognition.
IEEE Access
Prabu Selvam, Muhammad Faheem, Vidyabharathi Dakshinamurthi, Akshaj Nevgi, R. Bhuvaneswari, K. Deepak, Joseph Abraham Sundar Koilraj
2024 — conf
Shallow and Deep Learning Based Approaches for Malicious URL Detection: A Comprehensive Performance Evaluation.
ICCCNT
S. Dinakar, K. Deepak
2023 J jnl
Anomaly detection in surveillance videos: a thematic taxonomy of deep models, review and performance analysis.
Artif. Intell. Rev.
S. Chandrakala, K. Deepak, G. Revathy
2022 J jnl
Bag-of-Event-Models based embeddings for detecting anomalies in surveillance videos.
Expert Syst. Appl.
S. Chandrakala, K. Deepak, L. K. P. Vignesh
2022 J jnl
Object-centric and memory-guided network-based normality modeling for video anomaly detection.
Signal Image Video Process.
S. Chandrakala, P. Shalmiya, V. Srinivas, K. Deepak
2021 J jnl
Deep Multi-view Representation Learning for Video Anomaly Detection Using Spatiotemporal Autoencoders.
Circuits Syst. Signal Process.
K. Deepak, G. Srivathsan, S. Roshan, S. Chandrakala
2021 J jnl
Residual Spatiotemporal Autoencoder with Skip Connected and Memory Guided Network for Detecting Video Anomalies.
Neural Process. Lett.
S. Chandrakala, V. Srinivas, K. Deepak
2021 J jnl
Residual spatiotemporal autoencoder for unsupervised video anomaly detection.
Signal Image Video Process.
K. Deepak, S. Chandrakala, C. Krishna Mohan
2020 J jnl
A Similarity Based Representation for Identifying Healthcare Anomalous Activities.
J. Medical Imaging Health Informatics
K. Deepak, Mohamed Yacin Sikkandar, S. Siddharth, S. Chandrakala
2020 J jnl
Autocorrelation of gradients based violence detection in surveillance videos.
ICT Express
K. Deepak, L. K. P. Vignesh, S. Chandrakala
2017 — conf
High Accuracy Predictive Modelling for Customer Churn Prediction in Telecom Industry.
MLDM
R. Prashanth, K. Deepak, Amit Kumar Meher