Michael Blumenstein
University of Technology Sydney, Griffith University, The University of Sydney
Papers
5
Total Citations
336
H-Index
4
About
Michael Blumenstein is a leading researcher in computer vision and pattern recognition, with a particular focus on video-based human action recognition, object instance segmentation, and the application of deep learning to real-world problems. His highly cited 2017 review on video-based human action recognition using deep learning (167 citations) has become a foundational resource, synthesizing advances in surveillance, robotics, and healthcare. Blumenstein’s work extends beyond traditional computer vision into human-robot interaction and assistive technology, as demonstrated by his pioneering 2015 study on the CuDDler animal robot, which showed significant improvements in engagement and emotional response among older adults with dementia (87 citations). His recent comprehensive survey on object instance segmentation (2022, 66 citations) further underscores his influence in advancing machine perception for autonomous systems. Blumenstein’s research bridges technical innovation with societal impact, making him a key figure in developing intelligent systems that enhance human well-being.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3A Survey on Object Instance Segmentation66 citations · 2022
- 4
- 5Pattern Recognition2 citations · 2023