Silvia-Laura Pintea is an Assistant Professor and computer vision researcher with 11 years of experience specializing in deep learning for image and video analysis, particularly scale-invariance, motion representations and regression tasks. She has progressed from a PhD on continuous learning at the University of Amsterdam through research and postdoctoral roles at Delft and Leiden, applying geometric priors and efficient architectures to real-world problems including surgical video analysis. Now leading work in the DL for Perception group at Tilburg University, she blends strong academic rigor with practical engineering experience from industry (Blippar) and startup internships. Her work emphasizes robustness and efficiency—optimizing motion representations for deployment contexts rather than purely benchmark gains—which makes her research highly applicable to clinical and industrial vision systems.
11 years of coding experience
4 years of employment as a software developer
Master of Science, Artificial Intelligence, Master of Science, Artificial Intelligence at Master study in Artificial Intelligence, University of Amsterdam
PhD, Computer Vision, PhD, Computer Vision at University of Amsterdam
Bachelor's degree, Computer Science, Bachelor's degree, Computer Science at Computer Science, University of Bucharest, Faculty of Mathematics and Computer Science
Contributions:25 commits, 5 pushes in 8 years 4 months
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