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Dr. P.S.M. (Pascal) Mettes

Faculty of Science
Informatics Institute
Visiting address
  • Science Park 904
  • Room number: C3249
Postal address
  • Postbus 94323
    1090 GH Amsterdam
Contact details
  • Publications

    2022

    2021

    2020

    • Byvshev, P., Mettes, P., & Xiao, Y. (2020). Heterogeneous Non-Local Fusion for Multimodal Activity Recognition. In ICMR '20: proceedings of the 2020 International Conference on Multimedia Retrieval : June 08-11, 2020, Dublin, Ireland (pp. 63-72). The Association for Computing Machinery. https://doi.org/10.1145/3372278.3390675 [details]
    • Chen, S., Mettes, P., Hu, T., & Snoek, C. G. M. (2020). Interactivity Proposals for Surveillance Videos. In ICMR '20: proceedings of the 2020 International Conference on Multimedia Retrieval : June 08-11, 2020, Dublin, Ireland (pp. 108-116). The Association for Computing Machinery. https://doi.org/10.1145/3372278.3390680 [details]
    • Chen, Y., Hu, V. T., Gavves, E., Mensink, T., Mettes, P., Yang, P., & Snoek, C. G. M. (2020). PointMixup: Augmentation for Point Clouds. In A. Vedaldi, H. Bischof, T. Brox, & J. M. Frahm (Eds.), Computer Vision – ECCV 2020: 16th European Conference, Glasgow, UK, August 23–28, 2020 : proceedings (Vol. III, pp. 330-345). (Lecture Notes in Computer Science; Vol. 12348). Springer. https://doi.org/10.1007/978-3-030-58580-8_20 [details]
    • Dijt, P., & Mettes, P. (2020). Trajectory Prediction Network for Future Anticipation of Ships. In ICMR '20: proceedings of the 2020 International Conference on Multimedia Retrieval : June 08-11, 2020, Dublin, Ireland (pp. 73-81). The Association for Computing Machinery. https://doi.org/10.1145/3372278.3390676 [details]
    • Long, T., Mettes, P., Shen, H. T., & Snoek, C. (2020). Searching for Actions on the Hyperbole. In 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition: proceedings : virtual, 14-19 June 2020 (pp. 1138-1147). (CVPR). Los Alamitos, California: IEEE Computer Society. https://doi.org/10.1109/CVPR42600.2020.00122 [details]
    • Mettes, P., Koelma, D. C., & Snoek, C. G. M. (2020). Shuffled ImageNet Banks for Video Event Detection and Search. ACM Transactions on Multimedia Computing Communications and Applications, 16(2), [44]. https://doi.org/10.1145/3377875 [details]
    • Mettes, P., Van Der Pol, E., & Snoek, C. (2020). Hyperspherical Prototype Networks. In H. Wallach, H. Larochelle, A. Beygelzimer, F. d'Alché-Buc, E. Fox, & R. Garnett (Eds.), 32nd Conference on Neural Information Processing Systems (NeurIPS 2019): Vancouver, Canada, 8-14 December 2019 (pp. 1476-1477). (Advances in Neural Information Processing Systems; Vol. 32). Neural Information Processing Systems Foundation. https://papers.nips.cc/paper/2019/hash/02a32ad2669e6fe298e607fe7cc0e1a0-Abstract.html [details]
    • Thong, W., Mettes, P., & Snoek, C. G. M. (2020). Open Cross-Domain Visual Search. Computer Vision and Image Understanding, 200, [103045]. https://doi.org/10.1016/j.cviu.2020.103045 [details]
    • Yang, P., Hu, V. T., Mettes, P., & Snoek, C. G. M. (2020). Localizing the Common Action Among a Few Videos. In A. Vedaldi, H. Bischof, T. Brox, & J-M. Frahm (Eds.), Computer Vision – ECCV 2020: 16th European Conference, Glasgow, UK, August 23–28, 2020 : proceedings (Vol. VII, pp. 505-521). (Lecture Notes in Computer Science; Vol. 12352). Springer. https://doi.org/10.1007/978-3-030-58571-6_30 [details]
    • Zuanazzi, V., van Vugt, J., Booij, O., & Mettes, P. (2020). Adversarial Self-Supervised Scene Flow Estimation. In 2020 International Conference on 3D Vision: 3DV 2020 : proceedings : 25-28 November 2020, virtual event (pp. 1049-1058). IEEE Computer Society. https://doi.org/10.1109/3DV50981.2020.00115 [details]

    2019

    • Brown, A., Mettes, P., & Worring, M. (2019). 4-Connected Shift Residual Networks. In 2019 International Conference on Computer Vision, Workshops: proceedings : 27 October-2 November 2019, Seoul, Korea (pp. 1990-1997). Los Alamitos, California: IEEE Computer Society. https://doi.org/10.1109/ICCVW.2019.00248 [details]
    • Hommos, O., Pintea, S. L., Mettes, P. S. M., & van Gemert, J. C. (2019). Using phase instead of optical flow for action recognition. In L. Leal-Taixé, & S. Roth (Eds.), Computer Vision – ECCV 2018 Workshops: Munich, Germany, September 8-14, 2018 : proceedings (Vol. VI, pp. 678-691). (Lecture Notes in Computer Science; Vol. 11134). Springer. https://doi.org/10.1007/978-3-030-11024-6_51 [details]
    • Hu, T., Mettes, P., Huang, J-H., & Snoek, C. G. M. (2019). SILCO: Show a Few Images, Localize the Common Object. In Proceedings, 2019 International Conference on Computer Vision: 27 October-2 November 2019, Seoul, Korea (pp. 5066-5075). (ICCV). Los Alamitos, California: IEEE Computer Society. https://doi.org/10.1109/ICCV.2019.00517 [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]
    • Mettes, P., & Snoek, C. G. M. (2019). Pointly-Supervised Action Localization. International Journal of Computer Vision, 127(3), 263–281. https://doi.org/10.1007/s11263-018-1120-4 [details]
    • Shi, Z., Mettes, P., & Snoek, C. G. M. (2019). Counting with Focus for Free. In Proceedings, 2019 International Conference on Computer Vision: 27 October-2 November 2019, Seoul, Korea (pp. 4199-4208). (ICCV). Los Alamitos, California: IEEE Computer Society. https://doi.org/10.1109/ICCV.2019.00430 [details]
    • de la Riva, M., & Mettes, P. (2019). Bayesian 3D ConvNets for Action Recognition from Few Examples. In 2019 International Conference on Computer Vision, Workshops: proceedings : 27 October-2 November 2019, Seoul, Korea (pp. 1337-1343). Los Alamitos, California: IEEE Computer Society. https://doi.org/10.1109/ICCVW.2019.00169 [details]

    2017

    • Mensink, T., Jongstra, T., Mettes, P., & Snoek, C. G. M. (2017). Music-Guided Video Summarization using Quadratic Assignments. In ICMR '17: proceedings of the 2017 ACM International Conference on Multimedia Retrieval : June 6-9, 2017, Bucharest, Romania (pp. 58-64). New York, NY: The Association for Computing Machinery. https://doi.org/10.1145/3078971.3079024 [details]
    • Mettes, P., & Snoek, C. G. M. (2017). Spatial-Aware Object Embeddings for Zero-Shot Localization and Classification of Actions. In 2017 IEEE International Conference on Computer Vision : ICCV 2017: proceedings : 22-29 October 2017, Venice, Italy (pp. 4453-4462). Los Alamitos, California: IEEE Computer Society. https://doi.org/10.1109/ICCV.2017.476 [details]
    • Mettes, P., Snoek, C. G. M., & Chang, S-F. (2017). Localizing Actions from Video Labels and Pseudo-Annotations. In T. K. Kim, S. Zafeiriou, G. Brostow, & K. Mikolajczyk (Eds.), Proceedings of the British Machine Vision Conference 2017 [22] BMVA Press. https://doi.org/10.5244/C.31.22 [details]

    2016

    • Mettes, P., Koelma, D. C., & Snoek, C. G. M. (2016). The ImageNet Shuffle: Reorganized Pre-training for Video Event Detection. In ICMR'16: proceedings of the 2016 ACM International Conference on Multimedia Retrieval: June 6-9, 2016, New York, NY, USA (pp. 175-182). New York, NY: Association for Computing Machinery. https://doi.org/10.1145/2911996.2912036 [details]
    • Mettes, P., van Gemert, J. C., & Snoek, C. G. M. (2016). No Spare Parts: Sharing Part Detectors for Image Categorization. Computer Vision and Image Understanding, 152, 131-141. https://doi.org/10.1016/j.cviu.2016.07.008 [details]
    • Mettes, P., van Gemert, J. C., & Snoek, C. G. M. (2016). Spot On: Action Localization from Pointly-Supervised Proposals. In B. Leibe, J. Matas, N. Sebe, & M. Welling (Eds.), Computer Vision – ECCV 2016: 14th European Conference, Amsterdam, The Netherlands, October 11-14, 2016 : proceedings (Vol. 5, pp. 437-453). (Lecture Notes in Computer Science; Vol. 9909). Springer. https://doi.org/10.1007/978-3-319-46454-1_27 [details]

    2015

    • Mettes, P., van Gemert, J. C., Cappallo, S., Mensink, T., & Snoek, C. G. M. (2015). Bag-of-Fragments: Selecting and encoding video fragments for event detection and recounting. In ICMR'15: proceedings of the 2015 ACM International Conference on Multimedia Retrieval: June 23-26, 2015, Shanghai, China (pp. 427-434). New York, NY: Association for Computing Machinery. https://doi.org/10.1145/2671188.2749404 [details]
    • Snoek, C. G. M., Cappallo, S., Fontijne, D., Julian, D., Koelma, D. C., Mettes, P., ... Towal, R. B. (2015). Qualcomm Research and University of Amsterdam at TRECVID 2015: Recognizing Concepts, Objects, and Events in Video. In 2015 TREC Video Retrieval Evaluation: notebook papers and slides Gaithersburg, MD: National Institute of Standards and Technology. [details]
    • van Gemert, J. C., Verschoor, C. R., Mettes, P., Epema, K., Koh, L. P., & Wich, S. (2015). Nature Conservation Drones for Automatic Localization and Counting of Animals. In L. Agapito, M. M. Bronstein, & C. Rother (Eds.), Computer Vision - ECCV 2014 Workshops: Zurich, Switzerland, September 6-7 and 12, 2014: proceedings (Vol. 1, pp. 255-270). (Lecture Notes in Computer Science ; Vol. 8925). Springer. https://doi.org/10.1007/978-3-319-16178-5_17 [details]

    2014

    • 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]

    2022

    • Shi, Z. (2022). Inductive biases for pixel representation learning. [details]
    • Zhao, J. (2022). Learning continuity for image and video recognition. [details]

    2017

    • Mettes, P. S. M. (2017). Objects for spatio-temporal activity recognition in videos. [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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