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Prof. dr. ir. A.W.M. Smeulders

Faculteit der Natuurwetenschappen, Wiskunde en Informatica
Informatics Institute

Bezoekadres
  • Science Park 904
  • Kamernummer: C3.244
Postadres
  • Science Park 904
    1098 XH Amsterdam
  • Publicaties

    2020

    • Altinkaya, M., & Smeulders, A. W. M. (2020). A Dynamically Expandable, Weakly Supervised, Audio-Visual Database of Stuttered Speech. In MuCAI '20: proceedings of the 1st International Workshop on Multimodal Conversational AI : October 16, 2020, Virtual Event, USA (pp. 9-13). Association for Computing Machinery. https://doi.org/10.1145/3423325.3423733 [details]
    • Altinkaya, M., & Smeulders, A. W. M. (2020). Assisted Speech to Enable Second Language. In MuCAI '20: proceedings of the 1st International Workshop on Multimodal Conversational AI : October 16, 2020, Virtual Event, USA (pp. 3-7). Association for Computing Machinery. https://doi.org/10.1145/3423325.3423735 [details]
    • Gulshad, S., & Smeulders, A. (2020). Explaining with Counter Visual Attributes and Examples. In ICMR '20: proceedings of the 2020 International Conference on Multimedia Retrieval : June 08-11, 2020, Dublin, Ireland (pp. 35-43). The Association for Computing Machinery. https://doi.org/10.1145/3372278.3390672 [details]
    • Kilickaya, M., & Smeulders, A. (2020). Diagnosing Rarity in Human-object Interaction Detection. In 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops: proceedings : virtual, 14-19 June 2020 (pp. 3956-3960). (CVPRW). IEEE Computer Society. https://doi.org/10.1109/CVPRW50498.2020.00460 [details]
    • Runia, T. F. H., Gavrilyuk, K., Snoek, C. G. M., & Smeulders, A. W. M. (2020). Cloth in the Wind: A Case Study of Physical Measurement through Simulation. In 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition: proceedings : virtual, 14-19 June 2020 (pp. 10495-10504). (CVPR). Los Alamitos, California: IEEE Computer Society. https://doi.org/10.1109/CVPR42600.2020.01051 [details]
    • Sosnovik, I., Szmaja, M., & Smeulders, A. W. M. (2020). Scale-Equivariant Steerable Networks. In International Conference on Learning Representations

    2019

    • 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]
    • Runia, T. F. H., Snoek, C. G. M., & Smeulders, A. W. M. (2019). Repetition Estimation. International Journal of Computer Vision, 127(9), 1361–1383. https://doi.org/10.1007/s11263-019-01194-0 [details]

    2018

    • Jacobsen, J., Smeulders, A. W. M., & Oyallon, E. (2018). i-RevNet: Deep Invertible Networks. In International Conference on Learning Representations OpenReview.
    • Kicanaoglu, B., Tao, R., & Smeulders, A. W. M. (2018). Estimating small differences in car-pose from orbits. In British Machine Vision Conference 2018: BMVC 2018, Newcastle, UK, September 3-6, 2018 [60] BMVA Press. [details]
    • Pintea, S. L., van Gemert, J. C., & Smeulders, A. W. M. (2018). Asymmetric kernel in Gaussian Processes for learning target variance. Pattern Recognition Letters, 108, 70-77. https://doi.org/10.1016/j.patrec.2018.02.026 [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 Salt Lake City: 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). Los Alamitos, California: IEEE Computer Society. https://doi.org/10.1109/CVPR.2018.00939 [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

    • 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]
    • Jacobsen, J-H., de Brabandere, B., & Smeulders, A. W. M. (2017). Dynamic Steerable Blocks in Deep Residual Networks. In T. K. Kim, S. Zafeiriou, G. Brostow, & K. Mikolajczyk (Eds.), Proceedings of the British Machine Vision Conference 2017 [145] BMVA Press. https://doi.org/10.5244/C.31.145 [details]
    • Jacobsen, J., Oyallon, E., Mallat, S., & Smeulders, A. W. M. (2017). Hierarchical Attribute CNNs. In ICML Workshop on Principled Approaches to Deep Learning
    • Karaoglu, S., Liu, Y., Gevers, T., & Smeulders, A. W. M. (2017). Point Light Source Position Estimation From RGB-D Images by Learning Surface Attributes. IEEE Transactions on Image Processing, 26(11), 5149-5159 . https://doi.org/10.1109/TIP.2017.2731619 [details]
    • Karaoglu, S., Tao, R., Gevers, T., & Smeulders, A. W. M. (2017). Words Matter: Scene Text for Image Classification and Retrieval. IEEE Transactions on Multimedia, 19(5), 1063-1076. https://doi.org/10.1109/TMM.2016.2638622 [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]
    • Manfredi, M., Grana, C., Cucchiara, R., & Smeulders, A. W. M. (2017). Segmentation models diversity for object proposals. Computer Vision and Image Understanding, 158, 40-48. https://doi.org/10.1016/j.cviu.2016.06.005 [details]
    • Smeulders, A. W. M., & Tao, R. (2017). Searching for A Thing. In ICMR'17: proceedings of the 2017 ACM International Conference on Multimedia Retrieval : June 6-9, 2017, Bucharest, Romania (pp. 1). New York, NY: The Association for Computing Machinery. https://doi.org/10.1145/3078971.3079006 [details]

    2016

    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]
    • Ramakrishnan, K., Scholte, H. S., Groen, I. I. A., Smeulders, A. W. M., & Ghebreab, S. (2015). Visual dictionaries as intermediate features in the human brain. Frontiers in Computational Neuroscience, 8, [168]. https://doi.org/10.3389/fncom.2014.00168 [details]
    • Ramakrishnan, K., Scholte, H. S., Smeulders, A. W. M., & Ghebreab, S. (2015). Neural spatial consistency of hierarchical vision models. In NIPS Workshop on Machine Learning in Neuroimaging
    • Tao, R., Smeulders, A. W. M., & Chang, S. F. (2015). Attributes and Categories for Generic Instance Search from One Example. In 2015 IEEE Conference on Computer Vision and Pattern Recognition: 7-12 June 2015, Boston, MA (pp. 177-186). Piscataway, NJ: IEEE. https://doi.org/10.1109/CVPR.2015.7298613 [details]

    2014

    • 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]
    • Pintea, S. L., van Gemert, J. C., & Smeulders, A. W. M. (2014). Déjà vu: Motion Prediction in Static Images. 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. III, pp. 172-187). (Lecture Notes in Computer Science; Vol. 8691). Cham: Springer. https://doi.org/10.1007/978-3-319-10578-9_12 [details]
    • Ramakrishnan, K., Groen, I. I. A., Scholte, H. S., Smeulders, A. W. M., & Ghebreab, S. (2014). Visual dictionaries in the Brain: Comparing HMAX and BOW. In 2014 IEEE International Conference on Multimedia and Expo (ICME 2014): Chengdu, China 14-18 July 2014 Piscataway, NJ: IEEE. https://doi.org/10.1109/ICME.2014.6890312 [details]
    • Smeulders, A. W. M., Chu, D. M., Cucchiara, R., Calderara, S., Dehghan, A., & Shah, M. (2014). Visual Tracking: An Experimental Survey. IEEE Transactions on Pattern Analysis and Machine Intelligence, 36(7), 1442-1468. https://doi.org/10.1109/TPAMI.2013.230 [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]
    • 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]
    • 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]
    • 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]
    • Ramakrishnan, K., Groen, I., Scholte, S., Smeulders, A., & Ghebreab, S. (2013). Visual word representation in the brain. In MLINI '13: machine learning and interpretation in neuroimaging: proceedings of MLINI 2013 NIPS. [details]
    • Smeulders, A. (2013). Searching Things in Large Sets of Images. In P. van Emde Boas, F. C. A. Groen, G. F. Italiano, J. Nawrocki, & H. Sack (Eds.), SOFSEM 2013: Theory and Practice of Computer Science: 39th International Conference on Current Trends in Theory and Practice of Computer Science, Špindlerův Mlýn, Czech Republic, January 26-31, 2013: proceedings (pp. 107). (Lecture Notes in Computer Science; Vol. 7741). Heidelberg: Springer. https://doi.org/10.1007/978-3-642-35843-2_10 [details]
    • 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.
    • Uijlings, J. R., van de Sande, K. E. A., Gevers, T., & Smeulders, A. W. M. (2013). Selective Search for Object Recognition. International Journal of Computer Vision, 104(2), 154-171. https://doi.org/10.1007/s11263-013-0620-5 [details]
    • Yanulevskaya, V., Uijlings, J., Geusebroek, J-M., Sebe, N., & Smeulders, A. (2013). A Proto-Object-Based Computational Model for Visual Saliency. Journal of Vision, 13(13), [27]. https://doi.org/10.1167/13.13.27 [details]

    2012

    • Chu, D. M., & Smeulders, A. W. M. (2012). Color Invariant SURF in Discriminative Object Tracking. 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. 62-75). (Lecture Notes in Computer Science; Vol. 6554). Heidelberg: Springer. https://doi.org/10.1007/978-3-642-35740-4_6 [details]
    • 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]
    • Uijlings, J. R. R., Smeulders, A. W. M., & Scha, R. J. H. (2012). The visual extent of an object: suppose we know the object locations. International Journal of Computer Vision, 96(1), 46-63. https://doi.org/10.1007/s11263-011-0443-1 [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]

    2011

    • Ghebreab, S., & Smeulders, A. W. M. (2011). Identifying distributed and overlapping clusters of hemodynamic synchrony in fMRI data sets. Pattern Analysis and Applications, 14(2), 175-192. https://doi.org/10.1007/s10044-010-0186-6 [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., 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]
    • Uijlings, J., de Rooij, O., Odijk, D., Smeulders, A., & Worring, M. (2011). Instant Bag-of-Words served on a laptop. In F. G. B. De Natale, & A. Del Bimbo (Eds.), ICMR '11: proceedings of the 1st ACM International Conference on Multimedia Retrieval: 2011, Trento, Italy New York: ACM. https://doi.org/10.1145/1991996.1992065 [details]
    • Vreeswijk, D. T. J., Huurnink, B., & Smeulders, A. W. M. (2011). Text and image subject classifiers: dense works better. In MM '11: proceedings of the 2011 ACM Multimedia Conference & Co-Located Workshops: Nov. 28-Dec. 1, 2011, Scottsdale, AZ, USA (pp. 1449-1452). New York, NY: Association for Computing Machinery. https://doi.org/10.1145/2072298.2072037 [details]
    • van de Sande, K. E. A., Uijlings, J. R. R., Gevers, T., & Smeulders, A. W. M. (2011). Segmentation as selective search for object recognition. In ICCV 2011 : 13th International Conference on Computer Vision: 6-13 November 2011, Barcelona, Spain (pp. 1879-1886). Piscataway, NJ: IEEE. https://doi.org/10.1109/ICCV.2011.6126456 [details]

    2010

    • Chu, D. M., & Smeulders, A. W. M. (2010). Thirteen Hard Cases in Visual Tracking. In Proceedings: IEEE International Conference on Advanced Video and Signal Based Surveillance: AVSS 2010: 29 August-1 September 2010, Boston, Massachusetts, USA (pp. 103-110). Los Alamitos, CA: IEEE Computer Society. https://doi.org/10.1109/AVSS.2010.85 [details]
    • Ghebreab, S., Smeulders, A. W. M., Scholte, H. S., & Lamme, V. A. F. (2010). A biologically plausible model for rapid natural scene identification. In Y. Bengio, D. Schuurmans, J. Lafferty, C. Williams, & A. Culotta (Eds.), 23rd Annual Conference on Neural Information Processing Systems 2009: December 7-10, 2009, Vancouver, B.C., Canada (Vol. 1, pp. 629-637). (Advances in Neural Information Processing Systems; Vol. 22). Red Hook, NY: Curran. [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). New York, NY: Association for Computing Machinery. https://doi.org/10.1145/1816041.1816045 [details]
    • Metternich, M. J., Worring, M., & Smeulders, A. W. M. (2010). Color based tracing in real-life surveillance data. In Y. Q. Shi (Ed.), Transactions on Data Hiding and Multimedia Security V (pp. 18-33). (Lecture Notes in Computer Science; No. 6010). Berlin: Springer. https://doi.org/10.1007/978-3-642-14298-7_2 [details]
    • Nedović, V., Smeulders, A. W. M., Redert, A., & Geusebroek, J. M. (2010). Stages As Models of Scene Geometry. IEEE Transactions on Pattern Analysis and Machine Intelligence, 32(9), 1673-1687. https://doi.org/10.1109/TPAMI.2009.174 [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., 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]
    • Uijlings, J. R. R., Smeulders, A. W. M., & Scha, R. J. H. (2010). Real-time visual concept classification. IEEE Transactions on Multimedia, 12(7), 665-681. https://doi.org/10.1109/TMM.2010.2052027 [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 Gemert, J. C., Veenman, C. J., Smeulders, A. W. M., & Geusebroek, J. M. (2010). Visual Word Ambiguity. IEEE Transactions on Pattern Analysis and Machine Intelligence, 32(7), 1271-1283. https://doi.org/10.1109/TPAMI.2009.132 [details]

    2009

    • Hollink, L., Schreiber, G., Huurnink, B., van Liempt, M., de Rijke, M., Smeulders, A., ... de Jong, A. (2009). A multidisciplinary approach to unlocking television broadcast archives. ISR Interdisciplinary Science Reviews, 34(2-3), 253-267. https://doi.org/10.1179/174327909X441144 [details]
    • Scholte, H. S., Ghebreab, S., Waldorp, L., Smeulders, A. W. M., & Lamme, V. A. F. (2009). Brain responses strongly correlate with Weibull image statistics when processing natural images. Journal of Vision, 9(4), [29]. https://doi.org/10.1167/9.4.29 [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]
    • Uijlings, J. R. R., Smeulders, A. W. M., & Scha, R. J. H. (2009). Real-time bag of words, approximately. In S. Marchand-Maillet, & I. Kompatsiaris (Eds.), Proceedings of the ACM International Conference on Image and Video Retrieval, ACM-CIVR 2009: July 8-10, 2009 - Santorini Island, Greece (pp. 6). New York: Association for Computing Machinery (ACM). [details]
    • Uijlings, J. R. R., Smeulders, A. W. M., & Scha, R. J. H. (2009). What is the spatial extent of an object? In 2009 IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2009: Miami, Florida, USA, 20-25 June 2009 (pp. 770-777). Piscataway, NJ: IEEE. https://doi.org/10.1109/CVPR.2009.5206663 [details]
    • Vivek, E. P., Pogalin, E., & Smeulders, A. W. M. (2009). Periodic event detection and recognition in video. In 2009 IEEE International Conference on Acoustics, Speech, and Signal Processing: Proceedings: April 19—24, 2009, Taipei International Convention Center, Taipei, Taiwan (pp. 3537-3540). Piscataway, NJ: IEEE. https://doi.org/10.1109/ICASSP.2009.4960389 [details]

    2008

    • Nedović, V., Smeulders, A. W. M., Redert, A., & Geusebroek, J. M. (2008). Depth estimation via stage classification. In 3DTV Conference: The True Vision: Capture, Transmission and Display of 3D Video: 2008 (pp. 77-80). IEEE. https://doi.org/10.1109/3DTV.2008.4547812 [details]
    • Pham, T. V., & Smeulders, A. W. M. (2008). Quadratic boosting. Pattern Recognition, 41(1), 331-341. https://doi.org/10.1016/j.patcog.2007.05.008 [details]
    • Pogalin, E., Smeulders, A. W. M., & Thean, A. H. C. (2008). Visual quasi-periodicity. In IEEE Computer Society Conference on Computer Vision and Pattern Recognition: CVPR 2008 (pp. 1-8). IEEE. https://doi.org/10.1109/CVPR.2008.4587509 [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., ... 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). [details]
    • van Gemert, J. C., Geusebroek, J-M., Veenman, C. J., & Smeulders, A. W. M. (2008). Kernel codebooks for scene categorization. In D. Forsyth, P. Torr, & A. Zisserman (Eds.), Computer Vision – ECCV 2008: 10th European Conference on Computer Vision, Marseille, France, October 12-18, 2008 : proceedings (Vol. III, pp. 696-709). (Lecture Notes in Computer Science; Vol. 5304). Berlin: Springer. https://doi.org/10.1007/978-3-540-88690-7_52 [details]

    2016

    • Ramakrishnan, K., Scholte, H. S., Smeulders, A., & Ghebreab, S. (2016). Mapping human visual representations by deep neural networks. Journal of Vision, 16(12), [373]. https://doi.org/10.1167/16.12.373 [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]

    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

    2016

    • Heuer, H., Monz, C., & Smeulders, A. W. M. (2016). Generating Captions without Looking Beyond Objects. Paper presented at ECCV2016 2nd Workshop on Storytelling with Images and Videos, Amsterdam, Netherlands.

    2015

    • Ramakrishnan, K., Scholte, S., Lamme, V., Smeulders, A., & Ghebreab, S. (2015). Convolutional Neural Networks in the Brain: an fMRI study. Journal of Vision, 15(12), [371]. https://doi.org/10.1167/15.12.371

    2010

    • Ghebreab, S., Scholte, H. S., Lamme, V., & Smeulders, A. (2010). Rapid Natural Image Identification Based on EEG Data and Global Scene Statistics. Journal of Vision, 10(7), 1394. https://doi.org/10.1167/10.7.1394
    • Scholte, H. S., Ghebreab, S., Smeulders, A., & Lamme, V. (2010). Lateral Occipital cortex responsive to correlation structure of natural images. Journal of Vision, 10(7), 1363. https://doi.org/10.1167/10.7.1363
    • Scholte, H. S., Ghebreab, S., Smeulders, A., & Lamme, V. (2010). Lateral Occipital cortex responsive to local correlation structure of natural images. Frontiers in Neuroscience, Conference abstract(Computational and Systems Neuroscience 2010). https://doi.org/10.3389/conf.fnins.2010.03.00162 [details]

    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]
    • Ramakrishnan, K. (2017). Aligning computer and human visual representations. [details]
    • Tao, R. (2017). Visual instance search from one example. [details]
    • de Rooij, O. (2017). Interactive content-based visualizations for multimedia search. [details]
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