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Prof. dr. C.G.M. (Cees) Snoek

Faculty of Science
Informatics Institute
Visiting address
  • Science Park 904
  • Room number: L4.56
Postal address
  • Postbus 94323
    1090 GH Amsterdam
Contact details
  • Publications

    2023

    • Derakhshani, M. M., Najdenkoska, I., van Sonsbeek, T. J., Zhen, X., Mahapatra, D., Worring, M., & Snoek, C. G. M. (2023). LifeLonger: A Benchmark for Continual Disease Classification. In Conference on Medical Image Computing and Computer Assisted Intervention

    2022

    • Bernasco, W., M. Hoeben, E., Koelma, D., Liebst, L. S., Thomas, J., Appelman, J., Snoek, C. G. M., & Lindegaard, M. R. (2022). Promise Into Practice: Application of Computer Vision in Empirical Research on Social Distancing. Sociological Methods and Research. https://doi.org/10.1177/00491241221099554
    • Doughty, H. R., & Snoek, C. G. M. (2022). How Do You Do It? Fine-Grained Action Understanding with Pseudo-Adverbs. In The IEEE/CVF Conference on Computer Vision and Pattern Recognition IEEE Computer Society.
    • Du, Y., Zhen, X., Shao, L., & Snoek, C. G. M. (2022). Hierarchical Variational Memory for Few-shot Learning Across Domains. In International Conference on Learning Representations
    • Jing, M., Zhen, X., Li, J., & Snoek, C. G. M. (2022). Variational Model Perturbation for Source-Free Domain Adaptation. In Advances in Neural Information Processing Systems Neural Information Processing Systems Foundation.
    • Nguyen, D. K., Yu, J., Booij, O., Oswald, M. R., & Snoek, C. G. M. (2022). Boxer: Box-attention for 2D and 3D Transformers. In Boxer: Box-attention for 2D and 3D Transformers IEEE Computer Society. https://openaccess.thecvf.com/content/CVPR2022/papers/Nguyen_BoxeR_Box-Attention_for_2D_and_3D_Transformers_CVPR_2022_paper.pdf
    • Shen, J., Xiao, Z., Zhen, X., Snoek, C. G. M., & Worring, M. (2022). Association Graph Learning for Multi-Task Classification with Category Shifts. In Advances in Neural Information Processing Systems Neural Information Processing Systems Foundation.
    • Shi, Z., Mettes, P., Maji, S., & Snoek, C. G. M. (2022). On Measuring and Controlling the Spectral Bias of the Deep Image Prior. International Journal of Computer Vision, 130(4), 885–908. https://doi.org/10.1007/s11263-021-01572-7 [details]
    • Thoker, F. M., Doughty, H. R., Bagad, P., & Snoek, C. G. M. (2022). How Severe is Benchmark-Sensitivity in Video Self-Supervised Learning? In European Conference on Computer Vision
    • Thong, W., & Snoek, C. G. M. (2022). Diversely-Supervised Visual Product Search. ACM Transactions on Multimedia Computing Communications and Applications, 18(1), [13]. https://doi.org/10.1145/3461646 [details]
    • Xiao, Z., Zhen, X., Shao, L., & Snoek, C. G. M. (2022). Learning to generalize across domains on single test samples. In International Conference on Learning Representations
    • Yang, P., Asano, Y. M., Mettes, P. S. M., & Snoek, C. G. M. (2022). Less than Few: Self-Shot Video Instance Segmentation. In European Conference on Computer Vision
    • Zhang, W. D., Burghouts, G. J., & Snoek, C. G. M. (2022). Pruning Edges and Gradients to Learn Hypergraphs from Larger Sets. In Learning on Graphs
    • Zhang, Y., Doughty, H. R., Shao, L., & Snoek, C. G. M. (2022). Audio-Adaptive Activity Recognition Across Video Domains. In IEEE Conference on Computer Vision and Pattern Recognition IEEE Computer Society.
    • Zhang, Y., Zhang, W. D., Lacoste-Julien, S., Burghouts, G. J., & Snoek, C. G. M. (2022). Multiset-Equivariant Set Prediction with Approximate Implicit Differentiation. In International Conference on Learning Representations
    • Zhao, J., Zhang, Y., Li, X., Chen, H., Bing, S., Xu, M., Liu, C., Kundu, K., Xiong, Y., Modolo, D., Marsic, I., Snoek, C. G. M., & Tighe, J. (2022). TubeR: Tubelet Transformer for Video Action Detection. In IEEE Conference on Computer Vision and Pattern Recognition IEEE Computer Society.

    2021

    2020

    2019

    2018

    • Dong, J., Li, X., & Snoek, C. G. M. (2018). Predicting Visual Features from Text for Image and Video Caption Retrieval. IEEE Transactions on Multimedia, 20(12), 3377-3388. https://doi.org/10.1109/TMM.2018.2832602 [details]
    • Gavrilyuk, K., Ghodrati, A., Li, Z., & Snoek, C. G. M. (2018). Actor and Action Video Segmentation From a Sentence. In 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition: proceedings : 18-22 June 2018, Salt Lake City, Utah (pp. 5958-5966). IEEE Computer Society. https://doi.org/10.1109/CVPR.2018.00624 [details]
    • Ghodrati, A., Gavves, E., & Snoek, C. G. M. (2018). Video Time: Properties, Encoders and Evaluation. In British Machine Vision Conference 2018: BMVC 2018, Newcastle, UK, September 3-6, 2018 [859] BMVA Press. [details]
    • Li, Z., Gavrilyuk, K., Gavves, E., Jain, M., & Snoek, C. G. M. (2018). VideoLSTM Convolves, Attends and Flows for Action Recognition. Computer Vision and Image Understanding, 166, 41-50. https://doi.org/10.1016/j.cviu.2017.10.011 [details]
    • Liao, S., Gavves, E., & Snoek, C. G. M. (2018). Searching and Matching Texture-free 3D Shapes in Images. In ICMR'18: proceedings of the 2018 ACM International Conference on Multimedia Retrieval : June 11-14, 2018, Yokohama, Japan (pp. 326-334). The Association for Computing Machinery. https://doi.org/10.1145/3206025.3206057 [details]
    • Migut, G., Koelma, D., Snoek, C. G. M., & Brouwer, N. (2018). Cheat me not: automated proctoring of digital exams on Bring-Your-Own-Device. In I. Polycarpou, J. C. Read, P. Andreou, & M. Armoni (Eds.), ITiCSE'18: proceedings of the 23rd Annual ACM Conference on Innovation and Technology in Computer Science Education : July 2-4, 2018, Larnaca, Cyprus (pp. 388). The Association for Computing Machinery. https://doi.org/10.1145/3197091.3205813 [details]
    • Runia, T. F. H., Snoek, C. G. M., & Smeulders, A. W. M. (2018). Primitive Motion Types for Learning from Instructional Video. In FIVER @ CVPR 2018: abstracts CVPR 2018. [details]
    • Runia, T. F. H., Snoek, C. G. M., & Smeulders, A. W. M. (2018). Real-World Repetition Estimation by Div, Grad and Curl. In 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition: proceedings : 18-22 June 2018, Salt Lake City, Utah (pp. 9009-9017). IEEE Computer Society. https://doi.org/10.1109/CVPR.2018.00939 [details]
    • Zhao, J., Liu, L., Snoek, C. G. M., Han, J., & Shao, L. (2018). Pixel-level Semantics Guided Image Colorization. In British Machine Vision Conference 2018: BMVC 2018, Newcastle, UK, September 3-6, 2018 [236] BMVA Press. [details]

    2017

    2016

    2015

    2014

    • Del Bimbo, A., Candan, K. S., J., Y-G., Luo, J., Mei, T., Sebe, N., ... Yan, R. (2014). Guest editorial: Special Section on Socio-Mobile Media Analysis and Retrieval. IEEE Transactions on Multimedia, 16(3), 586-587. https://doi.org/10.1109/TMM.2014.2304314 [details]
    • Habibian, A., & Snoek, C. G. M. (2014). Recommendations for Recognizing Video Events by Concept Vocabularies. Computer Vision and Image Understanding, 124, 110-122. https://doi.org/10.1016/j.cviu.2014.02.003 [details]
    • Habibian, A., & Snoek, C. G. M. (2014). Stop-Frame Removal Improves Web Video Classification. In ICMR Glasgow 2014: proceedings of the ACM International Conference on Multimedia Retrieval 2014: April 1st-4th, 2014, Glasgow, UK (pp. 499-502). New York: Association for Computing Machinery. https://doi.org/10.1145/2578726.2578803 [details]
    • Habibian, A., Mazloom, M., & Snoek, C. G. M. (2014). On-the-Fly Video Event Search by Semantic Signatures. In ICMR Glasgow 2014: proceedings of the ACM International Conference on Multimedia Retrieval 2014: April 1st-4th, 2014, Glasgow, UK (pp. 518-521). New York: Association for Computing Machinery. https://doi.org/10.1145/2578726.2582615 [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]
    • Jain, M., van Gemert, J., & Snoek, C. G. M. (2014). University of Amsterdam at THUMOS Challenge 2014. In THUMOS Challenge 2014: notebook papers Orlando, FL: Center for Research in Computer Vision, University of Central Florida. [details]
    • Jain, M., van Gemert, J., Jégou, H., Bouthemy, P., & Snoek, C. G. M. (2014). Action Localization by Tubelets from Motion. In Proceedings: 2014 IEEE Conference on Computer Vision and Pattern Recognition: 23-28 June 2014, Columbus, Ohio (pp. 740-747). Los Alamitos, California: IEEE Computer Society. https://doi.org/10.1109/CVPR.2014.100 [details]
    • Kordumova, S., Kofler, C., Koelma, D. C., Huurnink, B., Freiburg, B., Kleinveld, J., ... Snoek, C. G. M. (2014). SocialZap: Catch-Up on Interesting Television Fragments Discovered from Social Media. In ICMR Glasgow 2014: proceedings of the ACM International Conference on Multimedia Retrieval 2014: April 1st-4th, 2014, Glasgow, UK (pp. 538-540). New York: Association for Computing Machinery. https://doi.org/10.1145/2578726.2582622 [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]
    • Mazloom, M., Gavves, E., & Snoek, C. G. M. (2014). Conceptlets: Selective Semantics for Classifying Video Events. IEEE Transactions on Multimedia, 16(8), 2214-2228. https://doi.org/10.1109/TMM.2014.2359771 [details]
    • Mazloom, M., Li, X., & Snoek, C. G. M. (2014). Few-Example Video Event Retrieval Using Tag Propagation. In ICMR Glasgow 2014: proceedings of the ACM International Conference on Multimedia Retrieval 2014: April 1st-4th, 2014, Glasgow, UK (pp. 459-462). New York: Association for Computing Machinery. https://doi.org/10.1145/2578726.2578793 [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]
    • Myers, G. K., Nallapati, R., van Hout, J., Pancoast, S., Nevatia, R., Sun, C., ... Snoek, C. G. M. (2014). Evaluating Multimedia Features and Fusion for Example-Based Event Detection. Machine Vision and Applications, 25(1), 17-32. https://doi.org/10.1007/s00138-013-0527-8 [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]
    • Sun, C., Burns, B., Nevatia, R., Snoek, C., Bolles, B., Myers, G., ... Yeh, E. (2014). ISOMER: Informative Segment Observations for Multimedia Event Recounting. In ICMR Glasgow 2014: proceedings of the ACM International Conference on Multimedia Retrieval 2014: April 1st-4th, 2014, Glasgow, UK (pp. 241-248). New York: Association for Computing Machinery. https://doi.org/10.1145/2578726.2578757 [details]
    • Tao, R., Gavves, E., Snoek, C. G. M., & Smeulders, A. W. M. (2014). Locality in Generic Instance Search from One Example. In Proceedings: 2014 IEEE Conference on Computer Vision and Pattern Recognition: 23-28 June 2014, Columbus, Ohio (pp. 2099-2106). Los Alamitos, California: IEEE Computer Society. https://doi.org/10.1109/CVPR.2014.269 [details]
    • Xie, L., Shamma, D. A., & Snoek, C. (2014). Content is Dead ... Long Live Content: The New Age of Multimedia-Hard Problems. IEEE Multimedia, 21(1), 4-8. https://doi.org/10.1109/MMUL.2014.5 [details]
    • Yang, Y., Sebe, N., Snoek, C., Hua, X. S., & Zhuang, Y. (2014). Special Section on Learning from Multiple Evidences for Large Scale Multimedia Analysis: editorial. Computer Vision and Image Understanding, 118, 1. https://doi.org/10.1016/j.cviu.2013.09.001 [details]
    • van Hout, J., Yeh, E., Koelma, D. C., Snoek, C. G. M., Sun, C., Nevatia, R., ... Myers, G. K. (2014). Late Fusion and Calibration for Multimedia Event Detection Using Few Examples. In 2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (pp. 4598-4602). Piscataway, NJ: IEEE. https://doi.org/10.1109/ICASSP.2014.6854473 [details]
    • van de Sande, K. E. A., Snoek, C. G. M., & Smeulders, A. W. M. (2014). Fisher and VLAD with FLAIR. In Proceedings: 2014 IEEE Conference on Computer Vision and Pattern Recognition: 23-28 June 2014, Columbus, Ohio (pp. 2377-2384). Los Alamitos, California: IEEE Computer Society. https://doi.org/10.1109/CVPR.2014.304 [details]

    2013

    • Gavves, E., Fernando, B., Snoek, C. G. M., Smeulders, A. W. M., & Tuytelaars, T. (2013). Fine-Grained Categorization by Alignments. In 2013 IEEE International Conference on Computer Vision: ICCV 2013 : proceedings: 1-8 December 2013, Sydney, NSW, Australia (pp. 1713-1720). Los Alamitos, California: IEEE Computer Society. https://doi.org/10.1109/ICCV.2013.215 [details]
    • Habibian, A., & Snoek, C. G. M. (2013). Video2Sentence and Vice Versa. In MM '13: proceedings of the 2013 ACM Multimedia Conference : October 21-25, 2013, Barcelona, Spain (Vol. 1, pp. 419-420). New York: ACM. https://doi.org/10.1145/2502081.2502249 [details]
    • Habibian, A., van de Sande, K. E. A., & Snoek, C. G. M. (2013). Recommendations for Video Event Recognition Using Concept Vocabularies. In ICMR'13: proceedings of the third ACM International Conference on Multimedia Retrieval : April 16-20, 2013, Dallas, Texas, USA (pp. 89-96). New York, NY: Association for Computing Machinery. https://doi.org/10.1145/2461466.2461482 [details]
    • Kordumova, S., Li, X., & Snoek, C. G. M. (2013). Evaluating Sources and Strategies for Learning Video Concepts from Social Media. In International Workshop on Content-Based Multimedia Indexing
    • Li, X., & Snoek, C. G. M. (2013). Classifying Tag Relevance with Relevant Positive and Negative Examples. In MM '13: proceedings of the 2013 ACM Multimedia Conference : October 21-25, 2013, Barcelona, Spain (Vol. 2, pp. 485-488). New York: ACM. https://doi.org/10.1145/2502081.2502129 [details]
    • Li, X., Snoek, C. G. M., Worring, M., Koelma, D., & Smeulders, A. W. M. (2013). Bootstrapping Visual Categorization with Relevant Negatives. IEEE Transactions on Multimedia, 15(4), 933-945. https://doi.org/10.1109/TMM.2013.2238523 [details]
    • Li, Z., Gavves, E., van de Sande, K. E. A., Snoek, C. G. M., & Smeulders, A. W. M. (2013). Codemaps: Segment, Classify and Search Objects Locally. In 2013 IEEE International Conference on Computer Vision: ICCV 2013 : proceedings: 1-8 December 2013, Sydney, NSW, Australia (pp. 2136-2143). Los Alamitos, California: IEEE Computer Society. https://doi.org/10.1109/ICCV.2013.454 [details]
    • Mazloom, M., Gavves, E., van de Sande, K. E. A., & Snoek, C. G. M. (2013). Searching Informative Concept Banks for Video Event Detection. In ICMR'13: proceedings of the third ACM International Conference on Multimedia Retrieval : April 16-20, 2013, Dallas, Texas, USA (pp. 255-262). New York, NY: Association for Computing Machinery. https://doi.org/10.1145/2461466.2461507 [details]
    • Mazloom, M., Habibian, A., & Snoek, C. G. M. (2013). Querying for Video Events by Semantic Signatures from Few Examples. In MM '13: proceedings of the 2013 ACM Multimedia Conference : October 21-25, 2013, Barcelona, Spain (Vol. 2, pp. 609-612). New York: ACM. https://doi.org/10.1145/2502081.2502160 [details]
    • Modolo, D., & Snoek, C. G. M. (2013). Can Object Detectors Aid Internet Video Event Retrieval? In IS\&T/SPIE Symposium on Electronic Imaging
    • Snoek, C. G. M., van de Sande, K. E. A., Fontijne, D. H. F., Habibian, A., Jain, M., Kordumova, S., ... Smeulders, A. W. M. (2013). MediaMill at TRECVID 2013: Searching Concepts, Objects, Instances and Events in Video. In In Proceedings of TRECVID National Institute for Standards and Technology.

    2012

    • Gavves, E., Snoek, C. G. M., & Smeulders, A. W. M. (2012). Convex reduction of high-dimensional kernels for visual classification. In IEEE Conference on Computer Vision and Pattern Recognition (pp. 3610-3617). Providence, RI: IEEE. https://doi.org/10.1109/CVPR.2012.6248106 [details]
    • Gavves, E., Snoek, C. G. M., & Smeulders, A. W. M. (2012). Visual synonyms for landmark image retrieval. Computer Vision and Image Understanding, 116(2), 238-249. https://doi.org/10.1016/j.cviu.2011.10.004 [details]
    • Huurnink, B., Snoek, C. G. M., de Rijke, M., & Smeulders, A. W. M. (2012). Content-based analysis improves audiovisual archive retrieval. IEEE Transactions on Multimedia, 14(4), 1166-1178. https://doi.org/10.1109/TMM.2012.2193561 [details]
    • Li, X., Snoek, C. G. M., Worring, M., & Smeulders, A. W. M. (2012). Fusing concept detection and geo context for visual search. In H. S. I. Horace (Ed.), Proceedings of the 2nd ACM International Conference on Multimedia Retrieval (pp. 4). New York: ACM. https://doi.org/10.1145/2324796.2324801 [details]
    • Li, X., Snoek, C. G. M., Worring, M., & Smeulders, A. W. M. (2012). Harvesting social images for bi-concept search. IEEE Transactions on Multimedia, 14(4), 1091-1104. https://doi.org/10.1109/TMM.2012.2191943 [details]
    • Snoek, C. G. M., van de Sande, K. E. A., Habibian, A., Kordumova, S., Li, Z., Mazloom, M., ... Smeulders, A. W. M. (2012). The MediaMill TRECVID 2012 semantic video search engine. In 2012 TREC Video Retrieval Evaluation: notebook papers and slides [S.l.]: National Institute of Standards and Technology (NIST). [details]
    • Vreeswijk, D. T. J., Snoek, C. G. M., van de Sande, K. E. A., & Smeulders, A. W. M. (2012). All vehicles are cars: subclass preferences in container concepts. In H. S. I. Horace (Ed.), ICMR '12: Proceedings of the 2nd ACM International Conference on Multimedia Retrieval (pp. 8). New York: ACM. https://doi.org/10.1145/2324796.2324806 [details]
    • van de Sande, K. E. A., Gevers, T., & Snoek, C. G. M. (2012). Accelerating Visual Categorization with the GPU. In K. N. Kutulakos (Ed.), Trends and Topics in Computer Vision: ECCV 2010 workshops, Heraklion, Crete, Greece, September 10-11, 2010: revised selected papers (Vol. 2, pp. 436-449). (Lecture Notes in Computer Science; Vol. 6554). Springer. https://doi.org/10.1007/978-3-642-35740-4_34 [details]

    2011

    • Freiburg, B., Kamps, J., & Snoek, C. G. M. (2011). Crowdsourcing visual detectors for video search. In MM '11: proceedings of the 2011 ACM Multimedia Conference & Co-Located Workshops: Nov. 28-Dec. 1, 2011, Scottsdale, AZ, USA (pp. 913-916). New York, NY: Association for Computing Machinery. https://doi.org/10.1145/2072298.2071901 [details]
    • Hürst, W., Snoek, C. G. M., Spoel, W-J., & Tomin, M. (2011). Size matters! How thumbnail number, size, and motion influence mobile video retrieval. In K-T. Lee, W-H. Tsai, H-YM. Liao, T. Chen, J-W. Hsieh, & C-C. Tseng (Eds.), Advances in Multimedia Modeling: 17th International Multimedia Modeling Conference, MMM 2011, Taipei, Taiwan, January 5-7, 2011 : proceedings (Vol. 2, pp. 230-240). (Lecture Notes in Computer Science; Vol. 6524). Springer. https://doi.org/10.1007/978-3-642-17829-0_22 [details]
    • Li, X., Gavves, E., Snoek, C. G. M., Worring, M., & Smeulders, A. W. M. (2011). Personalizing automated image annotation using cross-entropy. In MM '11: proceedings of the 2011 ACM Multimedia Conference & Co-Located Workshops: Nov. 28-Dec. 1, 2011, Scottsdale, AZ, USA (pp. 233-242). New York, NY: Association for Computing Machinery. https://doi.org/10.1145/2072298.2072330 [details]
    • Li, X., Snoek, C. G. M., Worring, M., & Smeulders, A. W. M. (2011). Social negative bootstrapping for visual categorization. In Proceedings of the 1st ACM International Conference on Multimedia Retrieval: ICMR '11 (pp. 12). New York: ACM. https://doi.org/10.1145/1991996.1992008 [details]
    • Snoek, C. G. M., & Slaney, M. (2011). Academia meets industry at the Multimedia Grand Challenge. IEEE Multimedia, 18(1), 4-7. https://doi.org/10.1109/MMUL.2011.3 [details]
    • Snoek, C. G. M., van de Sande, K. E. A., Li, X., Mazloom, M., Jiang, Y., Koelma, D. C., & Smeulders, A. W. M. (2011). The MediaMill TRECVID 2011 semantic video search engine. In 2011 TREC Video Retrieval Evaluation notebook papers and slides [S.l.]: Retrieval Group, Information Access Division, National Institute of Standards and Technology. [details]
    • Steggink, J., & Snoek, C. G. M. (2011). Adding semantics to image-region annotations with the Name-It-Game. Multimedia Systems, 17(5), 367-378. https://doi.org/10.1007/s00530-010-0220-y [details]
    • van de Sande, K. E. A., Gevers, T., & Snoek, C. G. M. (2011). Empowering Visual Categorization with the GPU. IEEE Transactions on Multimedia, 13(1), 60-70. https://doi.org/10.1109/TMM.2010.2091400 [details]

    2010

    • Byrne, D., Doherty, A. R., Snoek, C. G. M., Jones, G. J. F., & Smeaton, A. F. (2010). Everyday Concept Detection in Visual Lifelogs: Validation, Relationships and Trends. Multimedia Tools and Applications, 49(1), 119-144. https://doi.org/10.1007/s11042-009-0403-8 [details]
    • Gavves, E., & Snoek, C. G. M. (2010). Landmark Image Retrieval Using Visual Synonyms. In MM '10: proceedings of the ACM Multimedia 2010 International Conference: October 25-29, 2010, Firenze, Italy (pp. 1123-1126). New York, NY: Association for Computing Machinery. https://doi.org/10.1145/1873951.1874166 [details]
    • Huurnink, B., Snoek, C. G. M., de Rijke, M., & Smeulders, A. W. M. (2010). Today's and tomorrow's retrieval practice in the audiovisual archive. In CIVR 2010: 2010 ACM International Conference on Image and Video Retrieval, at Xi'an, China, July 5-7, 2010 (pp. 18-25). Association for Computing Machinery. https://doi.org/10.1145/1816041.1816045 [details]
    • Hürst, W., Snoek, C. G. M., Spoel, W. J., & Tomin, M. (2010). Keep Moving! Revisiting Thumbnails for Mobile Video Retrieval. In MM '10: proceedings of the ACM Multimedia 2010 International Conference: October 25-29, 2010, Firenze, Italy (pp. 963-966). New York, NY: Association for Computing Machinery. https://doi.org/10.1145/1873951.1874124 [details]
    • Li, X., Snoek, C. G. M., & Worring, M. (2010). Unsupervised Multi-Feature Tag Relevance Learning for Social Image Retrieval. In CIVR 2010: 2010 ACM International Conference on Image and Video Retrieval, at Xi'an, China, July 5-7, 2010 (pp. 10-17). New York, NY: Association for Computing Machinery. https://doi.org/10.1145/1816041.1816044 [details]
    • Snoek, C. G. M., & Smeulders, A. W. M. (2010). Visual-Concept Search Solved? Computer, 43(6), 76-78. https://doi.org/10.1109/MC.2010.183 [details]
    • Snoek, C. G. M., Freiburg, B., Oomen, J., & Ordelman, R. (2010). Crowdsourcing Rock N' Roll Multimedia Retrieval. In MM '10: proceedings of the ACM Multimedia 2010 International Conference: October 25-29, 2010, Firenze, Italy (pp. 1535-1538). New York, NY: Association for Computing Machinery. https://doi.org/10.1145/1873951.1874278 [details]
    • Snoek, C. G. M., van de Sande, K. E. A., de Rooij, O., Huurnink, B., Gavves, E., Odijk, D., de Rijke, M., Gevers, T., Worring, M., Koelma, D. C., & Smeulders, A. W. M. (2010). The MediaMill TRECVID 2010 semantic video search engine. In TRECVID 2010 notebook National Institute of Standards and Technology. http://www-nlpir.nist.gov/projects/tvpubs/tv10.papers/mediamill.pdf [details]
    • van Gemert, J. C., Snoek, C. G. M., Veenman, C. J., Smeulders, A. W. M., & Geusebroek, J. M. (2010). Comparing Compact Codebooks for Visual Categorization. Computer Vision and Image Understanding, 114(4), 450-462. https://doi.org/10.1016/j.cviu.2009.08.004 [details]
    • van de Sande, K. E. A., Gevers, T., & Snoek, C. G. M. (2010). Evaluating Color Descriptors for Object and Scene Recognition. IEEE Transactions on Pattern Analysis and Machine Intelligence, 32(9), 1582-1596. https://doi.org/10.1109/TPAMI.2009.154 [details]

    2009

    • Li, X., & Snoek, C. G. M. (2009). Visual categorization with negative examples for free. In Proceedings of the 2009 ACM Multimedia Conference & co-located workshops: October 19-24, 2009, Beijing, China (pp. 661-664). New York: Association for Computing Machinery (ACM). [details]
    • Li, X., Snoek, C. G. M., & Worring, M. (2009). Annotating images by harnessing worldwide user-tagged photos. In 2009 IEEE International Conference on Acoustics, Speech, and Signal Processing: Proceedings: April 19—24, 2009, Taipei International Convention Center, Taipei, Taiwan (pp. 3717-3720). Piscataway, NJ: IEEE. https://doi.org/10.1109/ICASSP.2009.4960434 [details]
    • Li, X., Snoek, C. G. M., & Worring, M. (2009). Learning social tag relevance by neighbor voting. IEEE Transactions on Multimedia, 11(7), 1310-1322. https://doi.org/10.1109/TMM.2009.2030598 [details]
    • Setz, A. T., & Snoek, C. G. M. (2009). Can social tagged images aid concept-based video search? In 2009 IEEE International Conference on Multimedia and Expo, ICME 2009: Proceedings: June 28-July 3, 2009, Waldorf-Astoria Hotel, New York, New York, U.S.A. (pp. 1460-1463). Piscataway, NJ: IEEE. https://doi.org/10.1109/ICME.2009.5202778 [details]
    • Snoek, C. G. M., & Worring, M. (2009). Concept-based video retrieval. Foundations and Trends in Information Retrieval, 2(4), 215-322. https://doi.org/10.1561/1500000014 [details]
    • Snoek, C. G. M., van de Sande, K. E. A., de Rooij, O., Huurnink, B., Uijlings, J. R. R., van Liempt, M., ... Koelma, D. C. (2009). The MediaMill TRECVID 2009 semantic video search engine. In TRECVID 2009 Overview Papers and Slides Gaithersburg, MD: National Institute of Standards and Technology (NIST). [details]

    2008

    • Byrne, D., Doherty, A. R., Snoek, C. G. M., Jones, G. G. F., & Smeaton, A. F. (2008). Validating the detection of everyday concepts in visual lifelogs. In D. Duke, L. Hardman, A. Hauptmann, D. Paulus, & S. Staab (Eds.), Semantic Multimedia: Third International Conference on Semantic and Digital Media Technologies, SAMT 2008, Koblenz, Germany, December 3-5, 2008 : proceedings (pp. 15-30). (Lecture Notes in Computer Science; Vol. 5392). Springer. https://doi.org/10.1007/978-3-540-92235-3_4 [details]
    • Li, X., Snoek, C. G. M., & Worring, M. (2008). Learning tag relevance by neighbor voting for social image retrieval. In Proceedings of the 1st ACM International Conference on Multimedia Information Retrieval (MIR 2008) (pp. 180-187). New York, NY: Association for Computing Machinery (ACM). [details]
    • Snoek, C. G. M., Worring, M., de Rooij, O., van de Sande, K. E. A., Yan, R., & Hauptmann, A. G. (2008). VideOlympics: Real-time evaluation of multimedia retrieval systems. IEEE Multimedia, 15(1), 86-91. https://doi.org/10.1109/MMUL.2008.21 [details]
    • Snoek, C. G. M., van Balen, R., Koelma, D. C., Smeulders, A. W. M., & Worring, M. (2008). Analyzing video concept detectors visually. In 2008 IEEE International Conference on Multimedia and Expo: ICME 2008: Proceedings: June 23-26, 2008, Hannover Congress Centrum, Hannover, Germany (pp. 1603-1604). Piscataway, NJ: IEEE. https://doi.org/10.1109/ICME.2008.4607759 [details]
    • Snoek, C. G. M., van de Sande, K. E. A., de Rooij, O., Huurnink, B., van Gemert, J. C., Uijlings, J. R. R., He, J., Li, X., Everts, I., Nedovic, V., van Liempt, M., van Balen, R., Yan, F., Tahir, M. A., Mikolajczyk, K., Kittler, J., de Rijke, M., Geusebroek, J. M., Gevers, T., ... Koelma, D. C. (2008). The MediaMill TRECVID 2008 semantic video search engine. In TRECVID 2008: Proceedings of the 2008 TREC Video Retrieval Evaluation workshop (pp. 1-14). National Institute of Standards and Technology (NIST). http://www-nlpir.nist.gov/projects/tvpubs/tv8.papers/mediamill.pdf [details]
    • de Rooij, O., Snoek, C. G. M., & Worring, M. (2008). Balancing thread based navigation for targeted video search. In CIVR'08: Proceedings of the International Conference on Content-based Image and Video Retrieval, Niagara Falls, Canada, July 7-9, 2008 (pp. 485-494). New York, NY: Association for Computing Machinery (ACM). [details]
    • de Rooij, O., Snoek, C. G. M., & Worring, M. (2008). MediaMill: Fast and effective video search using the ForkBrowser. In CIVR'08: Proceedings of the International Conference on Content-based Image and Video Retrieval, Niagara Falls, Canada, July 7-9, 2008 (pp. 561-562). New York, NY: Association for Computing Machinery (ACM). [details]
    • van de Sande, K. E. A., Gevers, T., & Snoek, C. G. M. (2008). A comparison of color features for visual concept classification. In CIVR'08: Proceedings of the International Conference on Content-based Image and Video Retrieval, Niagara Falls, Canada, July 7-9, 2008 (pp. 141-149). New York, NY: Association for Computing Machinery (ACM). [details]
    • van de Sande, K. E. A., Gevers, T., & Snoek, C. G. M. (2008). Color descriptors for object category recognition. In CGIV 2008 / MCS'08: 4th European Conference on Colour in Graphics, Imaging, and Vision: 10th International Symposium on Multispectral Colour Science: Final program and proceedings (pp. 378-381). Springfield, VA: Society for Imaging Science and Technology (IS&T). [details]
    • van de Sande, K. E. A., Gevers, T., & Snoek, C. G. M. (2008). Evaluation of color descriptors for object and scene recognition. In IEEE Computer Society Conference on Computer Vision and Pattern Recognition: CVPR 2008 (pp. 1-8). IEEE. https://doi.org/10.1109/CVPR.2008.4587658 [details]

    2012

    • Cesar, P., Shamma, D. A., Williams, D., & Snoek, C. G. M. (2012). International Workshop on Socially-Aware Multimedia (SAM'12). In MM'12 : the proceedings of the 20th ACM international conference on multimedia, co-located with ACM Multimedia 2012, October 29-November 2, 2012, Nara, Japan (pp. 1503-1504). New York: Association for Computing Machinery. https://doi.org/10.1145/2393347.2396538 [details]
    • Xie, L., Shamma, D. A., & Snoek, C. (2012). Content is Dead; Long-Live Content! In MM'12 : the proceedings of the 20th ACM international conference on multimedia, co-located with ACM Multimedia 2012, October 29-November 2, 2012, Nara, Japan (pp. 7). New York: Association for Computing Machinery. https://doi.org/10.1145/2393347.2393355 [details]

    2011

    • Snoek, C. G. M., & Smeulders, A. W. M. (2011). Internet video search. In MM '11: proceedings of the 2011 ACM Multimedia Conference & Co-Located Workshops: Nov. 28-Dec. 1, 2011, Scottsdale, AZ, USA (pp. 629). New York, NY: Association for Computing Machinery. https://doi.org/10.1145/2072298.2072400 [details]

    2009

    • Snoek, C. G. M., van de Sande, K. E. A., de Rooij, O., Huurnink, B., Uijlings, J. R. R., van Liempt, M., ... Koelma, D. C. (2009). The MediaMill TRECVID 2009 semantic video search engine. In TRECVID 2009 working notes Gaithersburg, MD, USA: National Institute of Standards and Technology (NIST). [details]

    2019

    • Snoek, C. G. M. (2019). Video Intelligentie. (Oratiereeks; No. 604). Universiteit van Amsterdam. [details]

    Prize / grant

    • Li, X. & Snoek, C. (2016). ACM Multimedia Grand Challenge Award.
    • 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.
    • Li, X., Snoek, C. & Worring, M. (2010). ACM CIVR Best paper award.

    Journal editor

    • Snoek, C. (member of editorial board) (2020-2022). IEEE Transactions on Pattern Analysis and Machine Intelligence (Journal).
    • Snoek, C. (member of editorial board) (2020-2023). Computer Vision and Image Understanding (Journal).
    • Snoek, C. (member of editorial board) (2016-2019). ACM Transactions on Multimedia Computing Communications and Applications (Journal).
    • Snoek, C. (member of editorial board) (2016). ACM Transactions on Multimedia Computing Communications and Applications (Journal).
    • Snoek, C. (member of editorial board) (2016). IEEE Multimedia (Journal).
    • Snoek, C. (member of editorial board) (2015). IEEE Transactions on Multimedia (Journal).
    • Snoek, C. (member of editorial board) (2015). IEEE Multimedia (Journal).
    • Snoek, C. (member of editorial board) (2014). IEEE Transactions on Multimedia (Journal).
    • Snoek, C. (member of editorial board) (2014). IEEE Multimedia (Journal).
    • Snoek, C. (member of editorial board) (2013). IEEE Multimedia (Journal).
    • Snoek, C. (member of editorial board) (2013). IEEE Transactions on Multimedia (Journal).

    2017

    • Li, Z. (2017). Exploring locality for visual recognition. [details]
    • Mettes, P. S. M. (2017). Objects for spatio-temporal activity recognition in videos. [details]
    • Pintea, S. L. (2017). Continuous learning in computer vision. [details]

    2022

    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.
  • Ancillary activities
    • Kepler Vision Technologies B.V.
      Chief Scientific Officer
    • Advanced School for Computing & Imaging
      Lid van het managementteam.
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