Miscellaneous

This page contains lists of (ir)relevant information about my research.


Awards

  • Koenderink award 2020 for fundamental contributions in computer vision that have withstood the test of time. For the paper Improving the Fisher Kernel for Large-Scale Image Classification, with Florent Perronnin and Jorge Sánchez, published at ECCV 2010.
  • Outstanding reviewer award CVPR’17, ICMR’16, ICCV’13
  • ICMR Best paper award 2016. For the paper Pooling Objects for Recognizing Scenes without Examples, with Svetlana Kordumova and Cees Snoek.
  • NWO VENI Award for highly promising young scientists.
  • ACMMM Best paper award 2014. For the paper VideoStory: A New Multimedia Embedding for Few-Example Recognition and Translation of Events, with Amir Habibian and Cees Snoek.
  • AFRIF PhD Thesis prize 2012. For my PhD thesis entitled: Learning Image Classification and Retrieval Models
  • Best PhD student at International Computer Vision Summer School 2010
  • Winner ImageCLEF 2010, visual concept detection task challenge
  • Honourable mention ILSVRC’10, large-scale image classification

Code

Code references are made – where possible at the paper (see Publications).

  1. Deep Nearest Class Means (DeepNCM – Python / TensorFlow: Github)
  2. Rijksmuseum Challenge (Matlab: Github, Data: FigShare)
  3. Fisher Vector Kit (FVKit – Matlab: Github)
  4. Nearest Class Mean (Matlab – v1.1: tar – August 2014)
  5. Tree-Structured Prediction Models (Matlab – v0.11: tar – May 2013)

Supervision

I’m trying to get an overview of all students supervised. If I missed you on my list: sorry. I’m not so good at tracking ;-). Please drop me a line!

Supervision of PhD students

  • Rick Groenendijk (2019- )
  • Yunlu Chen (2017-)
  • Hoang-An Le (2017-2020)
  • Spencer Cappallo, PhD, daily supervisor
  • Amirhossein Habibian, PhD, daily co-supervisor

MSc Artificial Intelligence (UvA):

  • Rick Groenendijk (2019)
  • Kyllian Broers (2019)
  • Casper Thuis (2018)
  • Ysbrand Galema (2017)
  • Sebastien Negrijn (2017)
  • Thomas Jongstra, Directors Cut: Beat-based video summarization (2016)
  • Markus Nagel, Fisher vectors for image collections (2014)

BSc Artificial Intelligence (UvA):

  • Ozzy Ülger (2018)
  • Caitlin Lagrand (2017)
  • Ysbrand Galema, Recognising Plastic in Ocean Water Images (2016)

MSc Data Science (UvA):

  • Daniël Kooij (2018)
  • Tim Molleman (2018)
  • Emiel van Dongen (2018)
  • Inske Groenen (2018)
  • Dror Guldin (2018)
  • Bas Lindeboom (2018)
  • Mariel van Staveren (2018)
  • Sofia Tilon (2018)
  • Cor Zuurmond (2018)
  • Daniel Bartolome-Rojas (2017)
  • Diederik Beker (2017)
  • Michal Kozal (2017)
  • Yu-Ri Tan (2017)
  • Madli Uutma (2017)
  • Bastiaan Waanders (2017)
  • Aeron Yung (2017)
  • Douwe Knook (2016)
  • Koen Cuijpers, Explaining Image Retrieval with Classification (2015)