Nikoleta Manakitsa
Papers
1
Total Citations
239
H-Index
1
About
Nikoleta Manakitsa is a leading researcher at the intersection of machine vision, robotics, and artificial intelligence. Her work focuses on advancing how machines perceive and interpret the visual world, with particular emphasis on object detection, semantic segmentation, and human action recognition. Her landmark 2024 review, "A Review of Machine Learning and Deep Learning for Object Detection, Semantic Segmentation, and Human Action Recognition in Machine and Robotic Vision," has already garnered 239 citations, underscoring its profound impact on the field. In this comprehensive survey, Manakitsa traces the evolution of machine vision from early image processing algorithms to its modern convergence with deep learning and robotics, providing a critical roadmap for researchers and practitioners. Her contributions have helped bridge the gap between theoretical computer science and practical robotic applications, enabling more autonomous and perceptive systems. Manakitsa’s work is essential reading for anyone seeking to understand the state of the art in visual AI, and her synthesis of decades of research continues to shape the direction of intelligent vision systems worldwide.
Research Focus
Key Achievements
Top Papers
- 1