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Silvia-Laura Pintea

Postdoctoral Researcher

About

I received my MSc degree in Artificial Intelligence at University of Amsterdam in 2011, and PhD degree in Computer Vision at the University of Amsterdam in 2017. I worked shortly as an R&D Engineers at Blippar, towards large-scale image retrieval, subsequently I worked as a researcher at the Delft University of Technology with focus on tasks such as: anticipation, object and motion analysis, and efficiency in deep learning.

Currently, I am focusing on applying computer vision / AI techniques to medical imaging, and specifically integrating geometric priors in medical image analysis.

  1. X. Liu, S. Pintea, F. K. Nejadasl, O. Booij, J. van Gemert, "No Frame Left Behind: Full Video Action Recognition", Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2021
  2. Y. Lin, S. Pintea, J. van Gemert, "Semi-Supervised Lane Detection With Deep Hough Transform", 2021 IEEE International Conference on Image Processing (ICIP), 2021-09
  3. S. Pintea, N. Tomen, S. Goes, M. Loog, J. van Gemert, "Resolution Learning in Deep Convolutional Networks Using Scale-Space Theory", IEEE Transactions on Image Processing, 2021, 30
  4. N. Tomen, S. Pintea, J. van Gemert, "Deep Continuous Networks", International Conference on Machine Learning, 2021/07/01
  5. I. Lelekas, N. Tomen, S. Pintea, J. van Gemert, "Top-Down Networks: A Coarse-to-Fine Reimagination of CNNs", Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2020