Silvia-Laura Pintea

My work is in the field of AI, specifically Computer Vision and Deep Learning, where
I have extensive experience with video and image analysis, specifically scale-invariance,
video motion representations and regression problems.
My current focus is on effective video analysis and robust motion representations.

• [May 22 -Present ] Senior Postdoc - Division of Image Processing (LKEB), LUMC, Leiden, NL
  • Efficient video and motion representations towards surgery video analysis.
• [July 2020 - February 2022] Vision Lab, Delft University of Technology (TUDelft), Delft, NL
  Vision Lab, Delft University of Technology (TUDelft), Delft, NL
  • Focus on Deep Learning scale-invariance and efficiency.
• [July 2016 - July 2020] Vision Lab, Delft University of Technology (TUDelft), Delft, NL
  • Collaboration with LUMC and the Geophysics department at TUDelft. Working on
    image and video analysis: geometric priors, scale-invariance, video representations, etc.
• [January 2016 - June 2016] Layar/Blippar, Amsterdam, NL (augmented reality company)
  • Focus on efficient large-scale image matching and retrieval.
     

• [2011-2015] PhD in Computer Vision, University of Amsterdam (UvA), Amsterdam, NL
  • Motion prediction, object localization, video representation learning
    • Thesis title “Continuous Learning in Computer Vision”
• [2009-2011] MSc Artificial Intelligence, University of Amsterdam, (UvA) Amsterdam, NL
  • Machine Learning, Computer Vision, Neural Networks, Game Theory.
    • Grade: 8.31 (out of 10)
• [2005-2008] BSc Computer Science, University of Bucharest, Faculty of Mathematics and Computer Science, Bucharest, RO
  • Algorithms and data structures, Object oriented programming, Formal methods.
    • Grade: 9.40 (out of 10)