Milan Kresovic
Papers
1
Total Citations
10
H-Index
1
About
Milan Kresovic is a computer vision researcher whose work centers on advancing human pose estimation—a critical technology for enabling machines to interpret and interact with human movement. His primary contributions lie in systematically analyzing and improving top-down approaches to pose estimation, which first detect individuals in an image before estimating their body keypoints. In his highly cited 2022 survey, Kresovic provides a comprehensive taxonomy of these methods, evaluating their performance across benchmarks and highlighting their applications in behavior recognition, motion capture, augmented reality, and robotic training. This work has garnered 10 citations, reflecting its value as a foundational reference for researchers entering the field. By clarifying the strengths and limitations of existing techniques, Kresovic has helped shape the direction of subsequent innovations in real-time human movement tracking. His research continues to bridge the gap between algorithmic development and practical deployment, making strides toward more robust, efficient systems that can power everything from interactive gaming to assistive robotics.
Research Focus
Key Achievements
Top Papers
- 1A survey of top-down approaches for human pose estimation10 citations · 2022