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Dr. T.E.J. (Thomas) Mensink

Faculteit der Natuurwetenschappen, Wiskunde en Informatica
Informatics Institute
Fotograaf: Monique Kooijmans

  • Science Park 904
  • Postbus 94323
    1090 GH Amsterdam
  • Profiel

    Assistant Professor at Computer Vision Group

    Since February 2017, I'm Assistant Professor in the Computer Vision group (headed by Prof. Theo Gevers) of the Informatics Institute of the Faculty of Science (FNWI). My research interests are 3DDL: combining 3D computer vision with deep learning.

    Before turning into assistant professor, I've been:

    • Visisting Researcher at UC Berkeley (Prof. T. Darrell) for 3 months in 2016.
    • PostDoc researcher at the ISIS group, since 2012
    • PhD researcher/student at LEAR/TOTH group of INRIA Grenoble and the Compyter Vision group of XRCE (2009-2012)
    • MSc AI student at the University of Amsterdam (2002-2007)
    Personal homepage Computer Vision group homepage
  • Publicaties




    • Cappallo, S., Svetlichnaya, S., Garrigues, P., Mensink, T., & Snoek, C. G. M. (2019). New Modality: Emoji Challenges in Prediction, Anticipation, and Retrieval. IEEE Transactions on Multimedia, 21(2), 402-415. https://doi.org/10.1109/TMM.2018.2862363 [details]
    • Chen, Y., Mensink, T. E. J., & Gavves, E. (2019). 3D Neighborhood Convolution: Learning Depth-Aware Features for RGB-D and RGB Semantic Segmentation. In International Conference on 3D Vision https://arxiv.org/abs/1910.01460
    • Galama, Y., & Mensink, T. (2019). IterGANs: Iterative GANs to learn and control 3D object transformation. Computer Vision and Image Understanding, 189, [102803]. https://doi.org/10.1016/j.cviu.2019.102803 [details]
    • Ibrahimi, S., Chen, S., Arya, D., Câmara, A., Chen, Y., Crijns, T., ... Mettes, P. (2019). Interactive Exploration of Journalistic Video Footage through Multimodal Semantic Matching. In MM'19: proceedings of the 27th ACM Conference on Multimedia : October 21-25, 2019, Nice, France (pp. 2196-2198). New York, NY: Association for Computing Machinery. https://doi.org/10.1145/3343031.3350597 [details]


    • Guerriero, S., Caputo, B., & Mensink, T. E. J. (2018). Deep Nearest Class Mean Classifiers. In International Conference on Learning Representations Workshops OpenReview.
    • Le, H-A., Baslamisli, A. S., Mensink, T., & Gevers, T. (2018). Three for one and one for three: Flow, Segmentation, and Surface Normals. In British Machine Vision Conference 2018: BMVC 2018, Newcastle, UK, September 3-6, 2018 [201] BMVA Press. [details]





    • Everts, I., van Gemert, J. C., Mensink, T., & Gevers, T. (2014). Robustifying Descriptor Instability using Fisher Vectors. IEEE Transactions on Image Processing, 23(12), 5698-5706. https://doi.org/10.1109/TIP.2014.2365955 [details]
    • Habibian, A., Mensink, T., & Snoek, C. G. M. (2014). Composite Concept Discovery for Zero-Shot Video Event Detection. In ICMR Glasgow 2014: proceedings of the ACM International Conference on Multimedia Retrieval 2014: April 1st-4th, 2014, Glasgow, UK (pp. 17-24). New York: Association for Computing Machinery. https://doi.org/10.1145/2578726.2578746 [details]
    • Habibian, A., Mensink, T., & Snoek, C. G. M. (2014). VideoStory: A New Multimedia Embedding for Few-Example Recognition and Translation of Events. In MM '14: proceedings of the 2014 ACM Conference on Multimedia: November 3-7, 2014, Orlando, Florida, USA (pp. 17-26). New York: ACM. https://doi.org/10.1145/2647868.2654913 [details]
    • Li, Z., Gavves, E., Mensink, T., & Snoek, C. G. M. (2014). Attributes Make Sense on Segmented Objects. In D. Fleet, T. Pajdla, B. Schiele, & T. Tuytelaars (Eds.), Computer Vision – ECCV 2014: 13th European Conference, Zurich, Switzerland, September 6-12, 2014: proceedings (Vol. VI, pp. 350-365). (Lecture Notes in Computer Science; Vol. 8694). Springer. https://doi.org/10.1007/978-3-319-10599-4_23 [details]
    • Mensink, T., & van Gemert, J. (2014). The Rijksmuseum Challenge: Museum-Centered Visual Recognition. In ICMR Glasgow 2014: proceedings of the ACM International Conference on Multimedia Retrieval 2014: April 1st-4th, 2014, Glasgow, UK (pp. 451-454). New York: Association for Computing Machinery. https://doi.org/10.1145/2578726.2578791 [details]
    • Mensink, T., Gavves, E., & Snoek, C. G. M. (2014). COSTA: Co-Occurrence Statistics for Zero-Shot Classification. In Proceedings: 2014 IEEE Conference on Computer Vision and Pattern Recognition: 23-28 June 2014, Columbus, Ohio (pp. 2441-2448). Los Alamitos, California: IEEE Computer Society. https://doi.org/10.1109/CVPR.2014.313 [details]
    • Snoek, C. G. M., van de Sande, K. E. A., Fontijne, D., Cappallo, S., van Gemert, J., Habibian, A., ... Smeulders, A. W. M. (2014). MediaMill at TRECVID 2014: Searching Concepts, Objects, Instances and Events in Video. In 2014 TREC Video Retrieval Evaluation: notebook papers and slides Gaithersburg, MD: National Institute of Standards and Technology. [details]



    • Mensink, T., Kröse, B. J. A., & Zajdel, W. P. (2007). Distributed Appearance Based Tracking using the EM algorithm. In Proceedings of the 2007 First ACM/IEEE International Conference on Distributed Smart Cameras (pp. 178-184). Vienna, Austria: IEEE. [details]


    • Mensink, T., Verbeek, J., Perronnin, F., & Csurka, G. (2013). Large Scale Metric Learning for Distance-Based Image Classification on Open Ended Data Sets. In G. M. Farinella, S. Battiato, & R. Cipolla (Eds.), Advanced topics in computer vision (pp. 243-276). (Advances in computer vision and pattern recognition). Springer. https://doi.org/10.1007/978-1-4471-5520-1_9 [details]

    Prijs / subsidie

    • Kordumova, S., Mensink, T. & Snoek, C. G. M. (2016). ICMR Best Paper Prize.
    • Habibian, A., Mensink, T. & Snoek, C. G. M. (2014). ACM Multimedia Best Paper Prize.


    • Chen, Y. (2023). Continuity in 3D visual learning. [Thesis, fully internal, Universiteit van Amsterdam]. [details]


    • Lê, H. -Â. (2021). Outdoor image understanding from multiple vision modalities. [details]


    This list of publications is extracted from the UvA-Current Research Information System. Questions? Ask the library or the Pure staff of your faculty / institute. Log in to Pure to edit your publications. Log in to Personal Page Publication Selection tool to manage the visibility of your publications on this list.
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