Praveen Kumar Sekharamantry

According to our database, Praveen Kumar Sekharamantry authored at least 7 papers between 2023 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

NFlowAD: A normalizing flow model for anomaly detection in human motion animations.

Mahamat Issa Choueb, Praveen Kumar Sekharamantry, Giulia Martinelli, Francesco G. B. De Natale, Nicola Conci

Signal Process. Image Commun., 2026

2025

Robust Alzheimer's Patient Detection and Tracking for Room Entry Monitoring Using YOLOv8 and Cross Product Analysis.

Praveen Kumar Sekharamantry, Farid Melgani, Roberto Delfiore, Stefano Lusardi

Comput. Mater. Continua, 2025

Learning to Judge Motion: Likelihood-Based Evaluation with Normalizing Flows.

Mahamat Issa Choueb, Praveen Kumar Sekharamantry, Giulia Martinelli, Alessandro Floris, Nicola Conci

Proceedings of the 13th European Workshop on Visual Information Processing, 2025

2024

A Seamless Deep Learning Approach for Apple Detection, Depth Estimation, and Tracking Using YOLO Models Enhanced by Multi-Head Attention Mechanism.

Praveen Kumar Sekharamantry, Farid Melgani, Jonni Malacarne, Riccardo Ricci, Rodrigo Silva, José Marcato Junior

Comput., March, 2024

PSR-LeafNet: A Deep Learning Framework for Identifying Medicinal Plant Leaves Using Support Vector Machines.

Praveen Kumar Sekharamantry, Marada Srinivasa Rao, Yarramalle Srinivas, Archana Uriti

Big Data Cogn. Comput., 2024

2023

Deep Learning-Based Apple Detection with Attention Module and Improved Loss Function in YOLO.

Praveen Kumar Sekharamantry, Farid Melgani, Jonni Malacarne

Remote. Sens., March, 2023

An Adaptable Model for Medical Image Classification Using the Streamlined Attention Mechanism.

Dakshayani Himabindu Damineni, Praveen Kumar Sekharamantry, Rajakoti Badugu

Int. J. Online Biomed. Eng., 2023