Priyambada Subudhi

Orcid: 0000-0001-8857-8808

According to our database1, Priyambada Subudhi authored at least 13 papers between 2017 and 2026.

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

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
AMQP Under Siege: Characterizing and Measuring Slow Rate DoS Attacks.
Proceedings of the 18th International Conference on COMmunication Systems and NETworks, 2026

2025
Pose and Occlusion Invariant 3D Facial Recognition Using Lightweight CNN and Dual-Stage Transfer Learning.
Proceedings of the Pattern Recognition and Machine Intelligence, 2025

2024
A fast and efficient large-scale near duplicate image retrieval system using double perceptual hashing.
Signal Image Video Process., December, 2024

An integrated color and texture feature based mango ripening stage classification from thermal imaging.
Proceedings of the IEEE International Conference on Computer Vision and Machine Intelligence, 2024

On Tree Mango Fruit Yield Estimation Using Graph Cuts and Depth First Search.
Proceedings of the Computer Vision and Image Processing - 9th International Conference, 2024

2022
MangoYOLO5: A Fast and Compact YOLOv5 Model for Mango Detection.
Proceedings of the Computer Vision and Machine Intelligence, 2022

2021
A statistical active contour model for interactive clutter image segmentation using graph cut optimization.
Signal Process., 2021

2019
An efficient graph reduction framework for interactive texture segmentation.
Signal Process. Image Commun., 2019

Shock filter-based morphological scheme for texture enhancement.
IET Image Process., 2019

A Reduced Graph Cut Approach to Interactive Object Segmentation with Flexible User Input.
Proceedings of the Computer Vision and Image Processing - 4th International Conference, 2019

2018
A novel texture segmentation method based on co-occurrence energy-driven parametric active contour model.
Signal Image Video Process., 2018

2017
A fast texture segmentation scheme based on active contours and discrete cosine transform.
Comput. Electr. Eng., 2017

Object Segmentation in Texture Images Using Texture Gradient Based Active Contours.
Proceedings of the Pattern Recognition and Machine Intelligence, 2017


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