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Dr. E. (Stratis) Gavves

Faculty of Science
Informatics Institute

Visiting address
  • Science Park 904
Postal address
  • Postbus 94323
    1090 GH Amsterdam
Contact details
  • Publications

    2020

    2019

    • 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
    • Davidson, T. R., Tomczak, J. M., & Gavves, E. (2019). Increasing Expressivity of a Hyperspherical VAE. In Advances in Neural Information Processing Systems, Workshop on Bayesian Deep Learning NIPS.
    • Gupta, D. K., de Bruijn, N., Panteli, A., & Gavves, E. (2019). Tracking-Assisted Segmentation of Biological Cells. In Advances in Neural Information Processing Systems, Workshop on Medical Imaging NIPS.
    • Hussein, N. M. E., Gavves, E., & Smeulders, A. W. M. (2019). VideoGraph: Recognizing Minutes-Long Human Activities in Videos. In ICCV Workshop on Scene Graph Representation and Learning https://arxiv.org/abs/1905.05143
    • Hussein, N., Gavves, E., & Smeulders, A. W. M. (2019). Timeception for Complex Action Recognition. In 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition: proceedings : 16-20 June 2019, Long Beach, California (pp. 254-263). (CVPR). Los Alamitos, CA: IEEE Computer Society. https://doi.org/10.1109/CVPR.2019.00034 [details]
    • Kristan, M., Matas, J., Leonardis, A., Felsberg, M., Pflugfelder, R., Kämäräinen, J-K., ... Ni, Z. (2019). The Seventh Visual Object Tracking VOT2019 Challenge Results. In 2019 International Conference on Computer Vision, Workshops: proceedings : 27 October-2 November 2019, Seoul, Korea (pp. 2206-2241). Los Alamitos, California: IEEE Computer Society. https://doi.org/10.1109/ICCVW.2019.00276 [details]
    • Liao, S., Gavves, E., & Snoek, C. G. M. (2019). Spherical Regression: Learning Viewpoints, Surface Normals and 3D Rotations on n-Spheres. In 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition: proceedings : 16-20 June 2019, Long Beach, California (pp. 9751-9759). (CVPR). Los Alamitos, CA: IEEE Computer Society. https://doi.org/10.1109/CVPR.2019.00999 [details]
    • Louizos, C., Reisser, M., Blankevoort, T., Gavves, E., & Welling, M. (2019). Relaxed Quantization for Discretized Neural Networks. In ICLR 2019: International Conference on Learning Representations : New Orleans, Louisiana, United States, May 6-May 9, 2019 OpenReview. [details]
    • O'Connor, P., Gavves, E., & Welling, M. (2019). Initialized Equilibrium Propagation for Backprop-Free Training. In ICLR 2019: International Conference on Learning Representations : New Orleans, Louisiana, United States, May 6-May 9, 2019 OpenReview. [details]
    • O'Connor, P., Gavves, E., & Welling, M. (2019). Training a Spiking Neural Network with Equilibrium Propagation. Proceedings of Machine Learning Research, 89, 1516-1523. http://proceedings.mlr.press/v89/o-connor19a.html [details]
    • Samson, L., van Noord, N., Booij, O., Hofmann, M., Gavves, E., & Ghafoorian, M. (2019). I Bet You Are Wrong: Gambling Adversarial Networks for Structured Semantic Segmentation. In 2019 International Conference on Computer Vision, Workshops: proceedings : 27 October-2 November 2019, Seoul, Korea (pp. 951-960). Los Alamitos, California: IEEE Computer Society. https://doi.org/10.1109/ICCVW.2019.00124 [details]
    • Shkodrani, S., Hofmann, M., & Gavves, E. (2019). Dynamic Adaptation on Non-Stationary Visual Domains. In L. Leal-Taixé, & S. Roth (Eds.), Computer Vision – ECCV 2018 Workshops: Munich, Germany, September 8-14, 2018 : proceedings (Vol. II, pp. 158-171). (Lecture Notes in Computer Science; Vol. 11130). Springer. https://doi.org/10.1007/978-3-030-11012-3_12 [details]
    • van der Heiden, T., Nagaraja, N. S., Weiss, C., & Gavves, E. (2019). SafeCritic: Collision-Aware Trajectory Prediction. In British Machine Vision Conference Workshop

    2018

    • Bilen, H., Fernando, B., Gavves, E., & Vedaldi, A. (2018). Action recognition with dynamic image networks. IEEE Transactions on Pattern Analysis and Machine Intelligence, 40(12), 2799-2813. https://doi.org/10.1109/TPAMI.2017.2769085 [details]
    • Georgoulis, S., Rematas, K., Ritschel, T., Gavves, E., Fritz, M., Van Gool, L., & Tuytelaars, T. (2018). Reflectance and natural illumination from single-material specular objects using deep learning. IEEE Transactions on Pattern Analysis and Machine Intelligence, 40(8), 1932-1947. https://doi.org/10.1109/TPAMI.2017.2742999 [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). New York, NY: The Association for Computing Machinery. https://doi.org/10.1145/3206025.3206057 [details]
    • O'Connor, P. E., Gavves, E., & Welling, M. (2018). Initialized Equilibrium Propagation for Backprop-Free Training. In International Conference on Machine Learning: Workshop on Credit Assignment in Deep Learning and Deep Reinforcement Learning
    • O'Connor, P. E., Gavves, E., & Welling, M. (2018). Temporally Efficient Deep Learning with Spikes. In International Conference on Learning Representations OpenReview.
    • Oh, C., Gavves, E., & Welling, M. (2018). BOCK: Bayesian Optimization with Cylindrical Kernels. Proceedings of Machine Learning Research, 80, 3868-3877. http://proceedings.mlr.press/v80/oh18a.html [details]
    • Scheepers, T., Kanoulas, E., & Gavves, E. (2018). Improving Word Embedding Compositionality using Lexicographic Definitions. In The Web Conference 2018: companion of the World Wide Web Conference WWW2018 : April 23-27, 2018, Lyon, France (pp. 1083-1093). [Geneva]: International World Wide Web Conferences Steering Committee. https://doi.org/10.1145/3178876.3186007 [details]
    • Valmadre, J., Bertinetto, L., Henriques, J. F., Tao, R., Vedaldi, A., Smeulders, A. W. M., Torr, P. H. S., & Gavves, E. (2018). Long-Term Tracking in the Wild: A Benchmark. In V. Ferrari, M. Hebert, C. Sminchisescu, & Y. Weiss (Eds.), Computer Vision – ECCV 2018: 15th European Conference, Munich, Germany, September 8-14, 2018: proceedings (Vol. III, pp. 692-707). (Lecture Notes in Computer Science; Vol. 11207). Springer. https://doi.org/10.1007/978-3-030-01219-9_41 [details]

    2017

    • Fernando, B., Bilen, H., Gavves, E., & Gould, S. (2017). Self-Supervised Video Representation Learning With Odd-One-Out Networks. In 30th IEEE Conference on Computer Vision and Pattern Recognition: CVPR 2017 : 21-26 July 2016, Honolulu, Hawaii : proceedings (pp. 5729-5738). IEEE. https://doi.org/10.1109/CVPR.2017.607 [details]
    • Fernando, B., Gavves, E., Oramas M., J., Ghodrati, A., & Tuytelaars, T. (2017). Rank Pooling for Action Recognition. IEEE Transactions on Pattern Analysis and Machine Intelligence, 39(4), 773-787. https://doi.org/10.1109/TPAMI.2016.2558148 [details]
    • Hussein, N., Gavves, E., & Smeulders, A. W. M. (2017). Unified Embedding and Metric Learning for Zero-Exemplar Event Detection. In 30th IEEE Conference on Computer Vision and Pattern Recognition: CVPR 2017 : 21-26 July 2016, Honolulu, Hawaii : proceedings (pp. 2087-2096). Piscataway, NJ: IEEE. https://doi.org/10.1109/CVPR.2017.225 [details]
    • Li, Z., Tao, R., Gavves, E., Snoek, C. G. M., & Smeulders, A. W. M. (2017). Tracking by Natural Language Specification. In 30th IEEE Conference on Computer Vision and Pattern Recognition: CVPR 2017 : 21-26 July 2016, Honolulu, Hawaii : proceedings (pp. 7350-7358). Piscataway, NJ: IEEE. https://doi.org/10.1109/CVPR.2017.777 [details]

    2016

    • Bilen, H., Fernando, B., Gavves, E., Vedaldi, A., & Gould, S. (2016). Dynamic Image Networks for Action Recognition. In Proceedings 29th IEEE Conference on Computer Vision and Pattern Recognition : CVPR 2016: 26 June-1 July 2016, Las Vegas, Nevada (pp. 3034-3042). Los Alamitos, California: IEEE Computer Society. https://doi.org/10.1109/CVPR.2016.331 [details]
    • De Geest, R., Gavves, E., Ghodrati, A., Li, Z., Snoek, C., & Tuytelaars, T. (2016). Online Action Detection. 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. 269-284). (Lecture Notes in Computer Science; Vol. 9909). Cham: Springer. https://doi.org/10.1007/978-3-319-46454-1_17 [details]
    • Rematas, K., Ritschel, T., Fritz, M., Gavves, E., & Tuytelaars, T. (2016). Deep Reflectance Maps. In Proceedings 29th IEEE Conference on Computer Vision and Pattern Recognition : CVPR 2016: 26 June-1 July 2016, Las Vegas, Nevada (pp. 4508-4516). Los Alamitos, California: IEEE Computer Society. https://doi.org/10.1109/CVPR.2016.488 [details]
    • Snoek, C. G. M., Dong, J., Li, X., Wei, Q., Wang, X., Lan, W., Gavves, E., Hussein, N. M. E., Koelma, D. C., & Smeulders, A. W. M. (2016). University of Amsterdam and Renmin University at TRECVID 2016: Searching Video, Detecting Events and Describing Video. In TRECVID Workshop https://www.semanticscholar.org/paper/University-of-Amsterdam-and-Renmin-University-at-Snoek-Dong/d7bbd75e9471dbcb20a04043f8156cb967567f3f
    • Tao, R., Gavves, E., & Smeulders, A. W. M. (2016). Siamese Instance Search for Tracking. In Proceedings 29th IEEE Conference on Computer Vision and Pattern Recognition : CVPR 2016: 26 June-1 July 2016, Las Vegas, Nevada (pp. 1420-1429 ). Los Alamitos, California: IEEE Computer Society. https://doi.org/10.1109/CVPR.2016.158 [details]

    2015

    • Gavves, E., Fernando, B., Snoek, C. G. M., Smeulders, A. W. M., & Tuytelaars, T. (2015). Local Alignments for Fine-Grained Categorization. International Journal of Computer Vision, 111(2), 191-212. https://doi.org/10.1007/s11263-014-0741-5 [details]
    • Gavves, E., Mensink, T., Tommasi, T., Snoek, C. G. M., & Tuytelaars, T. (2015). Active Transfer Learning with Zero-Shot Priors: Reusing Past Datasets for Future Tasks. In Proceedings: 2015 IEEE International Conference on Computer Vision: 11-18 December 2015, Santiago, Chile (pp. 2731-2739). Los Alamitos, CA: IEEE Computer Society. https://doi.org/10.1109/ICCV.2015.313 [details]

    2014

    • 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). Cham: 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]
    • 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]
    • 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]

    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]
    • 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]

    2012

    2011

    • 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]

    2010

    • 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]
    • Snoek, C. G. M., van de Sande, K. E. A., de Rooij, O., Huurnink, B., Gavves, E., Odijk, D., ... Smeulders, A. W. M. (2010). The MediaMill TRECVID 2010 semantic video search engine. In TRECVID 2010 notebook Gaithersburg, MD: National Institute of Standards and Technology. [details]

    2017

    • Tao, R., Gavves, E., & Smeulders, A. W. M. (2017). Generic mapping for tracking target object in video sequence. (Patent No. US Patent App. 15/192,935).

    2020

    2017

    • Mironenco, M., Kianfar, D., Tran, M. K., Kanoulas, E., & Gavves, E. (2017). Examining Cooperation in Visual Dialog Models.

    2021

    • Hussein, N. M. E. (2021). Aspects of time for recognizing human activities. [details]
    • Liao, S. (2021). Deep learning with 3D and label geometry. [details]

    2020

    • O'Connor, P. (2020). Biologically plausible deep learning: Should airplanes flap their wings?. [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.
  • Ancillary activities
    • No ancillary activities