World's Best Scientists 2026 revealed!
Award Badge
Computer Science
Netherlands
2025

D-Index & Metrics

Computer Science

D-Index
71
Citations
25705
World Ranking
1750
National Ranking
16

Research.com Recognitions

  • 2025 - Research.com Computer Science in Netherlands Leader Award
  • 2022 - Research.com Computer Science in Netherlands Leader Award
  • 2011 - ACM Senior Member

Overview

Cees G. M. Snoek is a researcher affiliated with the University of Amsterdam in the Netherlands. Their work primarily spans the field of Computer Science, with a specialization in areas related to computer vision and machine learning.

The main fields of study for their research include:

  • Computer Vision and Pattern Recognition
  • Artificial Intelligence
  • Radiology, Nuclear Medicine and Imaging
  • Computational Mechanics
  • Signal Processing

Their research focuses notably on several topics, which include:

  • Multimodal Machine Learning Applications
  • Domain Adaptation and Few-Shot Learning
  • Human Pose and Action Recognition
  • Advanced Image and Video Retrieval Techniques
  • Anomaly Detection Techniques and Applications
  • Advanced Vision and Imaging
  • Generative Adversarial Networks and Image Synthesis

Frequent collaborators with whom they have published include:

  • Pascal Mettes
  • Xiantong Zhen
  • Hazel Doughty
  • Ling Shao
  • Efstratios Gavves

The venues where this researcher has published frequently are:

  • arXiv (Cornell University)
  • 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • International Journal of Computer Vision
  • ACM Transactions on Multimedia Computing Communications and Applications
  • 2021 IEEE/CVF International Conference on Computer Vision (ICCV)

Some recent papers authored or co-authored by Cees G. M. Snoek are:

  • TubeR: Tubelet Transformer for Video Action Detection, 2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • On Measuring and Controlling the Spectral Bias of the Deep Image Prior, 2022, International Journal of Computer Vision
  • BoxeR: Box-Attention for 2D and 3D Transformers, 2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • Latent Embedding Feedback and Discriminative Features for Zero-Shot Classification, 2020, arXiv (Cornell University)
  • Shuffled ImageNet Banks for Video Event Detection and Search, 2020, ACM Transactions on Multimedia Computing Communications and Applications

Cees G. M. Snoek holds the distinction of being an ACM Senior Member since 2011.

Best Publications

  • Evaluating Color Descriptors for Object and Scene Recognition

    Koen E A van de Sande;T Gevers;Cees G M Snoek

  • Evaluation of color descriptors for object and scene recognition

    K. van de Sande;T. Gevers;C. Snoek

  • Early versus late fusion in semantic video analysis

    Cees G. M. Snoek;Marcel Worring;Arnold W. M. Smeulders

  • The challenge problem for automated detection of 101 semantic concepts in multimedia

    Cees G. M. Snoek;Marcel Worring;Jan C. van Gemert;Jan-Mark Geusebroek

  • Multimodal Video Indexing: A Review of the State-of-the-art

    Cees G. M. Snoek;Marcel Worring

  • VideoLSTM convolves, attends and flows for action recognition

    Zhenyang Li;Kirill Gavrilyuk;Efstratios Gavves;Mihir Jain;Mihir Jain

  • Learning Social Tag Relevance by Neighbor Voting

    Xirong Li;C.G.M. Snoek;M. Worring

  • Concept-Based Video Retrieval

    Cees G. M. Snoek;Marcel Worring

  • The MediaMill TRECVID 2009 Semantic Video Search Engine

    C.G.M. Snoek;K.E.A. van de Sande;O. de Rooij;B. Huurnink

  • The MediaMill TRECVID 2008 Semantic Video Search Engine

    C.G.M. Snoek;K.E.A. van de Sande;O. de Rooij;B. Huurnink

  • NIST Special Publication

    C.G.M. Snoek;M. Worring;J.M. Geusebroek;D.C. Koelma

  • The MediaMill TRECVID 2006 semantic video search engine

    C.G.M. Snoek;J.C. van Gemert;T. Gevers;B. Huurnink

  • The MediaMill TRECVID 2011 Semantic Video Search Engine

    C. G. M. Snoek;K. E. A. van de Sande;X. Li;M. Mazloom

  • The MediaMill TRECVID 2012 semantic video search engine

    C.G.M. Snoek;K.E.A. van de Sande;A. Habibian;S. Kordumova

  • The MediaMill TRECVID 2007 Semantic Video Search Engine

    C. Snoek;I. Everts;van J.C. Gemert;Jan-Mark Geusebroek

  • The MediaMill TRECVID 2010 semantic video search engine

    C.G.M. Snoek;K.E.A. van de Sande;O. de Rooij;B. Huurnink

  • The MediaMill TRECVID 2004 Semantic Video Search Engine

    C. G. M. Snoek;M. Worring;J. M. Geusebroek;D. C. Koelma

  • The MediaMill TRECVID 2005 Semantic Video Search Engine

    C. Snoek;van J.C. Gemert;Jan-Mark Geusebroek;B. Huurnink

  • Action Localization with Tubelets from Motion

    Mihir Jain;Jan van Gemert;Hervé Jégou;Patrick Bouthemy

  • VideoLSTM Convolves, Attends and Flows for Action Recognition

    Zhenyang Li;Efstratios Gavves;Mihir Jain;Cees G. M. Snoek

  • Proceedings of the 2016 ACM on Multimedia Conference

    Alan Hanjalic;Cees Snoek;Marcel Worring;Dick Bulterman

Frequent Co-Authors

Marcel Worring
Marcel Worring University of Amsterdam
Arnold W. M. Smeulders
Arnold W. M. Smeulders University of Amsterdam
Xirong Li
Xirong Li Renmin University of China
Efstratios Gavves
Efstratios Gavves University of Amsterdam
Jan-Mark Geusebroek
Jan-Mark Geusebroek University of Amsterdam
Theo Gevers
Theo Gevers University of Amsterdam
Nicu Sebe
Nicu Sebe University of Trento
Hervé Jégou
Hervé Jégou Facebook (United States)
Alexander G. Hauptmann
Alexander G. Hauptmann Carnegie Mellon University

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

As the demand for tech-savvy professionals grows, many students seek alternative routes to expand their skills and advance their careers. Online learning offers flexible options to pursue degrees related to Computer Science, no matter where you are located.

For those seeking affordability, exploring the cheapest bachelor degree online programs can help minimize student debt while building a strong foundation. Aspiring engineers might consider earning their engineering degree online, which covers valuable technology and problem-solving skills relevant to many industries.

Career advancement is possible with specialized postgraduate programs. Working professionals interested in leadership may benefit from an emba online, giving them deeper business knowledge with the flexibility to continue working. Additionally, those passionate about information management or digital services should explore a library sciences degree to open doors to careers in digital libraries, archives, and knowledge management.

Considering these online pathways can help you tailor your education, save on tuition, and access dynamic career options in the evolving digital landscape.

Best Scientists Citing Cees G. M. Snoek

Trending Scientists