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Prof. dr. M. (Marcel) Worring

Faculty of Science
Informatics Institute

Visiting address
  • Science Park 904
  • Room number:C3.252
Postal address
  • Postbus 94323
    1090 GH Amsterdam
Contact details
  • Bezoekadres (FNWI): Science Park 904, 1098 XH Amsterdam. Kamernummer: C3.252
  • Profile

    Information

    Marcel Worring is full professor in Multimedia Analytics in the Informatics Institute where he leads the MultiX group.  The research in MultiX  focuses on developing AI techniques for getting the richest information possible from the data (image/video/text/graphs) interactions surpassing human and machine intelligence, and visualizations blending it all in effective interfaces for applications in health, forensics and law enforcement, cultural heritage, urban livability, and social media analysis.

    Marcel Worring's Homepage
  • Publications

    2021

    • Efthymiou, A., Rudinac, S., Kackovic, M., Worring, M., & Wijnberg, N. M. (2021). ). Graph Neural Networks for Knowledge Enhanced Visual Representation of Paintings. ACM International Conference Proceedings Series. https://arxiv.org/abs/2105.08190
    • Gisolf, F., Geradts, Z., & Worring, M. (2021). Search and Explore Strategies for Interactive Analysis of Real-Life Image Collections with Unknown and Unique Categories. In J. Lokoč, K. Schoeffmann, X. Li, I. Patras, T. Skopal, V. Mezaris, & S. Vrochidis (Eds.), MultiMedia Modeling: 27th International Conference, MMM 2021 : Prague, Czech Republic, June 22–24, 2021 : proceedings (Vol. 2, pp. 244-255). (Lecture Notes in Computer Science; Vol. 12573). Springer. https://doi.org/10.1007/978-3-030-67835-7_21 [details]

    2020

    • Arya, D., Olij, R., Gupta, D. K., El Gazzar, A., van Wingen, G., Worring, M., & Thomas, R. M. (2020). Fusing Structural and Functional MRIs using Graph Convolutional Networks for Autism Classification. Proceedings of Machine Learning Research, 121, 44-61. http://proceedings.mlr.press/v121/arya20a.html [details]
    • Bwana, R. M., Baart, A., de Boer, V., Lenfant, F., Morisho, N., Westermann-Behaylo, M., & Worring, M. (2020). Developing a Crowdsourcing Application for Responsible Production in Africa. In WebSci'20: companion of the 12th ACM Conference on Web Science : July 6-10, 2020, Southampton, UK (pp. 48-53). The Association for Computing Machinery. https://doi.org/10.1145/3394332.3402829 [details]
    • Gornishka, I., Rudinac, S., & Worring, M. (2020). Interactive Search and Exploration in Discussion Forums Using Multimodal Embeddings. In Y. M. Ro, W-C. Cheng, J. Kim, W-T. Chu, P. Cui, J-W. Choi, M-C. Hu, & W. De Neve (Eds.), MultiMedia Modeling: 26th International Conference, MMM 2020, Daejeon, South Korea, January 5–8, 2020 : proceedings (Vol. II, pp. 388-399). (Lecture Notes in Computer Science; Vol. 11962). Springer. https://doi.org/10.1007/978-3-030-37734-2_32 [details]
    • Huang, J-H., & Worring, M. (2020). Query-Controllable Video Summarization. In ICMR '20: proceedings of the 2020 International Conference on Multimedia Retrieval : June 08-11, 2020, Dublin, Ireland (pp. 242-250). The Association for Computing Machinery. https://doi.org/10.1145/3372278.3390695 [details]
    • Hulzebosch, N., Ibrahimi, S., & Worring, M. (2020). Detecting CNN-Generated Facial Images in Real-World Scenarios. In 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops: proceedings : virtual, 14-19 June 2020 (pp. 2729-2738). (CVPRW). IEEE Computer Society. https://doi.org/10.1109/CVPRW50498.2020.00329 [details]
    • Jónsson, B. Þ., Khan, O. S., Koelma, D. C., Rudinac, S., Worring, M., & Zahálka, J. (2020). Exquisitor at the Video Browser Showdown 2020. In Y. M. Ro, W-H. Cheng, J. Kim, W-T. Chu, P. Cui, J-W. Choi, M-C. Hu, & W. De Neve (Eds.), MultiMedia Modeling: 26th International Conference, MMM 2020, Daejeon, South Korea, January 5–8, 2020 : proceedings (Vol. II, pp. 796-802). (Lecture Notes in Computer Science; Vol. 11962). Springer. https://doi.org/10.1007/978-3-030-37734-2_72 [details]
    • Khan, O. S., Jónsson, B. Þ., Rudinac, S., Zahálka, J., Ragnarsdóttir, H., Þorleiksdóttir, Þ., Guðmundsson, G. Þ., Amsaleg, L., & Worring, M. (2020). Interactive Learning for Multimedia at Large. In J. M. Jose, E. Yilmaz, J. Magalhães, P. Castells, N. Ferro, M. J. Silva, & F. Martins (Eds.), Advances in Information Retrieval: 42nd European Conference on IR Research, ECIR 2020, Lisbon, Portugal, April 14-17, 2020 : proceedings (Vol. I, pp. 495-510). (Lecture Notes in Computer Science; Vol. 12035). Springer. https://doi.org/10.1007/978-3-030-45439-5_33 [details]
    • Khan, O. S., Larsen, M. D., Poulsen, L. A. S., Jónsson, B. Þ., Zahálka, J., Rudinac, S., Koelma, D., & Worring, M. (2020). Exquisitor at the Lifelog Search Challenge 2020. In LSC '20: proceedings of the Third Annual Workshop on the Lifelog Search Challenge : June 08-10, 2020, Dublin, Ireland (pp. 19-22). The Association for Computing Machinery. https://doi.org/10.1145/3379172.3391718 [details]
    • Macarulla Rodriguez, A., Geradts, Z., & Worring, M. (2020). Likelihood Ratios for Deep Neural Networks in Face Comparison. Journal of Forensic Sciences, 65(4), 1169-1183. https://doi.org/10.1111/1556-4029.14324 [details]
    • Rietveld, R., van Dolen, W., Mazloom, M., & Worring, M. (2020). What You Feel, Is What You Like Influence of Message Appeals on Customer Engagement on Instagram. Journal of Interactive Marketing, 49, 20-53. https://doi.org/10.1016/j.intmar.2019.06.003 [details]
    • Sharma, U., Rudinac, S., Worring, M., Demmers, J., & van Dolen, W. (2020). Semantic Path-Based Learning for Review Volume Prediction. In J. M. Jose, E. Yilmaz, J. Magalhães, P. Castells, N. Ferro, M. J. Silva, & F. Martins (Eds.), Advances in Information Retrieval: 42nd European Conference on IR Research, ECIR 2020, Lisbon, Portugal, April 14-17, 2020 : proceedings (Vol. I, pp. 821-835). (Lecture Notes in Computer Science; Vol. 12035). Springer. https://doi.org/10.1007/978-3-030-45439-5_54 [details]
    • Soleimani, A., Monz, C., & Worring, M. (2020). BERT for Evidence Retrieval and Claim Verification. In J. M. Jose, E. Yilmaz, J. Magalhães, P. Castells, N. Ferro, M. J. Silva, & F. Martins (Eds.), Advances in Information Retrieval: 42nd European Conference on IR Research, ECIR 2020, Lisbon, Portugal, April 14–17, 2020 : proceedings (Vol. II, pp. 359-366). (Lecture Notes in Computer Science; Vol. 12036). Springer. https://doi.org/10.1007/978-3-030-45442-5_45 [details]
    • Strezoski, G., Fijen, L., Mitnik, J., László, D., de Marez Oyens, P., Schirris, Y., & Worring, M. (2020). TindART: A Personal Visual Arts Recommender. In ICMR '20: proceedings of the 2020 International Conference on Multimedia Retrieval : June 08-11, 2020, Dublin, Ireland (pp. 4524–4526). The Association for Computing Machinery. https://doi.org/10.1145/3394171.3414445 [details]
    • Strezoski, G., Knoester, R., van Noord, N., & Worring, M. (2020). OmniEyes: Analysis and Synthesis of Artistically Painted Eyes. In Y. M. Ro, W-C. Cheng, J. Kim, W-T. Chu, P. Cui, J-W. Choi, M-C. Hu, & W. De Neve (Eds.), MultiMedia Modeling: 26th International Conference, MMM 2020, Daejeon, South Korea, January 5–8, 2020 : proceedings (Vol. I, pp. 628-641). (Lecture Notes in Computer Science; Vol. 11961). Springer. https://doi.org/10.1007/978-3-030-37731-1_51 [details]
    • Sukel, M., Rudinac, S., & Worring, M. (2020). Detecting Urban Issues With the Object Detection Kit. In MM '20: proceedings of the 28th ACM International Conference on Multimedia : October 12-16, 2020, Virtual Event, USA (pp. 4518–4520). Association for Computing Machinery. https://doi.org/10.1145/3394171.3414427 [details]
    • Sukel, M., Rudinac, S., & Worring, M. (2020). Urban Object Detection Kit: A System for Collection and Analysis of Street-Level Imagery. In ICMR '20: proceedings of the 2020 International Conference on Multimedia Retrieval : June 08-11, 2020, Dublin, Ireland (pp. 509-516). The Association for Computing Machinery. https://doi.org/10.1145/3372278.3390708 [details]
    • Worring, M. (2020). Beyond Relevance Feedback for Searching and Exploring Large Multimedia Collections. In ICMR '20: proceedings of the 2020 International Conference on Multimedia Retrieval : June 08-11, 2020, Dublin, Ireland (pp. 4). The Association for Computing Machinery. https://doi.org/10.1145/3372278.3390669 [details]
    • van Sonsbeek, T., & Worring, M. (2020). Towards Automated Diagnosis with Attentive Multi-modal Learning Using Electronic Health Records and Chest X-Rays. In Multimodal Learning for Clinical Decision Support and Clinical Image-Based Procedures: 10th International Workshop, ML-CDS 2020, and 9th International Workshop, CLIP 2020, held in conjunction with MICCAI 2020, Lima, Peru, October 4–8, 2020 : proceedings (pp. 106-114). (Lecture Notes in Computer Science; Vol. 12445). Springer. https://doi.org/10.1007/978-3-030-60946-7_11 [details]

    2019

    • Arya, D., Rudinac, S., & Worring, M. (2019). HyperLearn: A Distributed Approach for Representation Learning in Datasets With Many Modalities. In MM'19: proceedings of the 27th ACM Conference on Multimedia : October 21-25, 2019, Nice, France (pp. 2245-2253). New York, NY: Association for Computing Machinery. https://doi.org/10.1145/3343031.3350572 [details]
    • Arya, D., Rudinac, S., & Worring, M. (2019). Predicting Behavioural Patterns in Discussion Forums using Deep Learning on Hypergraphs. In C. Gurrin, B. Þ. Jónsson, R. Péteri, S. Rudinac, S. Marchand-Maillet, G. Quénot, K. McGuinness, G. Þ. Guðmundsson, S. Little, M. Katsurai, ... G. Healy (Eds.), 2019 International Conference on Content-Based Multimedia Indexing (CBMI): proceedings : September 4-6, 2019, held at: DCU All Hallows Campus, Dublin 9, Ireland (pp. 210-215). Piscataway, NJ: IEEE. https://doi.org/10.1109/CBMI.2019.8877384 [details]
    • 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]
    • Ibrahimi, S., van Noord, N., Geradts, Z., & Worring, M. (2019). Deep Metric Learning for Cross-Domain Fashion Instance Retrieval. In 2019 International Conference on Computer Vision, Workshops: proceedings : 27 October-2 November 2019, Seoul, Korea (pp. 3165-3168). IEEE Computer Society. https://doi.org/10.1109/ICCVW.2019.00390 [details]
    • Khan, O. S., Jónsson, B. Þ., Zahálka, J., Rudinac, S., & Worring, M. (2019). Exquisitor at the Lifelog Search Challenge 2019. In LSC'19: Proceedings of the ACM Workshop on Lifelog Search Challenge : June 10, 2019, Ottawa, ON, Canada (pp. 7-11). New York, NY: Association for Computing Machinery. https://doi.org/10.1145/3326460.3329156 [details]
    • Ragnarsdóttir, H., Þorleiksdottir, Þ., Khan, O. S., Jónsson, B. Þ., Guðmundsson, G. Þ., Zahálka, J., Rudinac, S., Amsaleg, L., & Worring, M. (2019). Exquisitor: Breaking the Interaction Barrier for Exploration of 100 Million Images. In MM'19: proceedings of the 27th ACM Conference on Multimedia : October 21-25, 2019, Nice, France (pp. 1029-1031). Association for Computing Machinery. https://doi.org/10.1145/3343031.3350580 [details]
    • Streeb, D., Arya, D., Keim, D. A., & Worring, M. (2019). Visual Analytics Framework for the Assessment of Temporal Hypergraph Prediction Models. In Proceeedings of the Set Visual Analytics Workshop at IEEE VIS 2019 IEEE.
    • Strezoski, G., Shome, A., Bianchi, R., Rao, S., & Worring, M. (2019). ACE: Art, Color and Emotion. In MM'19: proceedings of the 27th ACM Conference on Multimedia : October 21-25, 2019, Nice, France (pp. 1053-1055). New York, NY: Association for Computing Machinery. https://doi.org/10.1145/3343031.3350588 [details]
    • Strezoski, G., van Noord, N., & Worring, M. (2019). Learning Task Relatedness in Multi-Task Learning for Images in Context. In ICMR '19: proceedings of the 2019 ACM International Conference on Multimedia Retrieval : June 10-13, 2019, Ottawa, ON, Canada (pp. 78-86). New York, NY: The Association for Computing Machinery. https://doi.org/10.1145/3323873.3325009 [details]
    • Strezoski, G., van Noord, N., & Worring, M. (2019). Many Task Learning with Task Routing. In Proceedings, 2019 International Conference on Computer Vision: 27 October-2 November 2019, Seoul, Korea (pp. 1375-1384). (ICCV). Los Alamitos, California: IEEE Computer Society. https://doi.org/10.1109/ICCV.2019.00146 [details]
    • Sukel, M., Rudinac, S., & Worring, M. (2019). Multimodal Classification of Urban Micro-Events. In MM'19: proceedings of the 27th ACM Conference on Multimedia : October 21-25, 2019, Nice, France (pp. 1455-1463). New York, NY: Association for Computing Machinery. https://doi.org/10.1145/3343031.3350967 [details]

    2018

    • Arya, D., & Worring, M. (2018). Exploiting Relational Information in Social Networks using Geometric Deep Learning on Hypergraphs. In ICMR'18: proceedings of the 2018 ACM International Conference on Multimedia Retrieval : June 11-14, 2018, Yokohama, Japan (pp. 117-125). New York, NY: The Association for Computing Machinery. https://doi.org/10.1145/3206025.3206062 [details]
    • Mazloom, M., Pappi, I., & Worring, M. (2018). Category Specific Post Popularity Prediction. In K. Schoeffmann, T. H. Chalidabhongse, C. W. Ngo, S. Aramvith, N. E. O'Connor, Y-S. Ho, M. Gabbouj, ... A. Elgammal (Eds.), MultiMedia Modeling: 24th International Conference, MMM 2018, Bangkok, Thailand, February 5-7, 2018, Proceedings (Vol. 1, pp. 594-607). (Lecture Notes in Computer Science; Vol. 10704). Cham: Springer. https://doi.org/10.1007/978-3-319-73603-7_48 [details]
    • Strezoski, G., & Worring, M. (2018). OmniArt: A Large-scale Artistic Benchmark. ACM Transactions on Multimedia Computing Communications and Applications, 14(4), [88]. https://doi.org/10.1145/3273022 [details]
    • Strezoski, G., Groenen, I., Besenbruch, J., & Worring, M. (2018). ArtSight: An Artistic Data Exploration Engine. In MM'18: proceedings of the 2018 ACM Multimedia Conference : October 22-26, 2018, Seoul, Republic of Korea (pp. 1240-1241). New York: Association for Computing Machinery. https://doi.org/10.1145/3240508.3241389 [details]
    • Zahálka, J., Rudinac, S., Jónsson, B. Þ., Koelma, D. C., & Worring, M. (2018). Blackthorn: Large-Scale Interactive Multimodal Learning. IEEE Transactions on Multimedia, 20(3), 687-698. https://doi.org/10.1109/TMM.2017.2755986 [details]

    2017

    • Mazloom, M., Hendriks, B., & Worring, M. (2017). Multimodal Context-Aware Recommender for Post Popularity Prediction in Social Media. In Thematic Workshops '17: proceedings of the Thematic Workshops of ACM Multimedia 2017 : October 23-27, 2017, Moutain View, CA, USA (pp. 236-244). New York: Association for Computing Machinery. https://doi.org/10.1145/3126686.3126731 [details]
    • Overgoor, G., Mazloom, M., Worring, M., Rietveld, R., & van Dolen, W. (2017). A Spatio-Temporal Category Representation for Brand Popularity Prediction. In ICMR '17: proceedings of the 2017 ACM International Conference on Multimedia Retrieval : June 6-9, 2017, Bucharest, Romania (pp. 233-241). New York, NY: The Association for Computing Machinery. https://doi.org/10.1145/3078971.3078998 [details]
    • Rudinac, S., Gornishka, I., & Worring, M. (2017). Multimodal Classification of Violent Online Political Extremism Content with Graph Convolutional Networks. In Thematic Workshops '17: proceedings of the Thematic Workshops of ACM Multimedia 2017 : October 23-27, 2017, Moutain View, CA, USA (pp. 245-252). New York: Association for Computing Machinery. https://doi.org/10.1145/3126686.3126776 [details]
    • Rudinac, S., Zahálka, J., & Worring, M. (2017). Discovering Geographic Regions in the City Using Social Multimedia and Open Data. In L. Amsaleg, G. Þ. Guðmundsson, C. Gurrin, B. Þ. Jónsson, & S. Satoh (Eds.), MultiMedia Modeling: 23rd International Conference, MMM 2017, Reykjavik, Iceland, January 4-6, 2017 : proceedings (Vol. 2, pp. 148-159). (Lecture Notes in Computer Science; Vol. 10133). Cham: Springer. https://doi.org/10.1007/978-3-319-51814-5_13 [details]
    • Strezoski, G., & Worring, M. (2017). Plug-and-Play Interactive Deep Network Visualization. In Visual Analytics for Deep Learning

    2016

    • Boonzajer Flaes, J., Rudinac, S., & Worring, M. (2016). What Multimedia Sentiment Analysis Says About City Liveability. In N. Ferro, F. Crestani, M-F. Moens, J. Mothe, F. Silvestri, G. M. Di Nunzio, C. Hauff, & G. Silvello (Eds.), Advances in Information Retrieval: 38th European Conference on IR Research, ECIR 2016, Padua, Italy, March 20–23, 2016 : proceedings (pp. 824-829). (Lecture Notes in Computer Science; Vol. 9626). Springer. https://doi.org/10.1007/978-3-319-30671-1_74 [details]
    • Jónsson, B. Þ., Worring, M., Zahálka, J., Rudinac, S., & Amsaleg, L. (2016). Ten Research Questions for Scalable Multimedia Analytics. In Q. Tian, N. Sebe, G-J. Qi, B. Huet, R. Hong, & X. Liu (Eds.), MultiMedia Modeling: 22nd International Conference, MMM 2016: Miami, FL, USA, January 4-6, 2016: proceedings (Vol. 2, pp. 290-302). (Lecture Notes in Computer Science; Vol. 9517). Springer. https://doi.org/10.1007/978-3-319-27674-8_26 [details]
    • Mazloom, M., Rietveld, R., Rudinac, S., Worring, M., & van Dolen, W. (2016). Multimodal Popularity Prediction of Brand-related Social Media Posts. In MM'16: Proceedings of the 2016 ACM on Multimedia Conference : October 15-19, 2016, Amsterdam, The Netherlands (pp. 197-201). New York, NY: Association for Computing Machinery. https://doi.org/10.1145/2964284.2967210 [details]
    • Van Gysel, C., de Rijke, M., & Worring, M. (2016). Unsupervised, Efficient and Semantic Expertise Retrieval. In WWW'16: proceedings of the 25th International Conference on World Wide Web : May 11-15, 2016, Montreal, Canada (pp. 1069-1079). New York, NY: Association for Computing Machinery. https://doi.org/10.1145/2872427.2882974 [details]
    • Worring, M., Koelma, D., & Zahálka, J. (2016). Multimedia Pivot Tables for Multimedia Analytics on Image Collections. IEEE Transactions on Multimedia, 18(11), 2217-2227. https://doi.org/10.1109/TMM.2016.2614380 [details]
    • Zahálka, J., Rudinac, S., Jónsson, B. Þ., Koelma, D. C., & Worring, M. (2016). Interactive Multimodal Learning on 100 Million Images. In ICMR'16: proceedings of the 2016 ACM International Conference on Multimedia Retrieval: June 6-9, 2016, New York, NY, USA (pp. 333-337). Association for Computing Machinery. https://doi.org/10.1145/2911996.2912062 [details]
    • van den Berg, J., Rudinac, S., & Worring, M. (2016). Scenemash: Multimodal Route Summarization for City Exploration. In N. Ferro, F. Crestani, M-F. Moens, J. Mothe, F. Silvestri, G. M. Di Nunzio, C. Hauff, & G. Silvello (Eds.), Advances in Information Retrieval: 38th European Conference on IR Research, ECIR 2016, Padua, Italy, March 20–23, 2016 : proceedings (pp. 833-836). (Lecture Notes in Computer Science; Vol. 9626). Springer. https://doi.org/10.1007/978-3-319-30671-1_75 [details]

    2015

    • Dang, T. K., Worring, M., & Bui, T. D. (2015). Building 3D Event Logs for Video Investigation. Multimedia Tools and Applications, 74(13), 4617-4639. https://doi.org/10.1007/s11042-013-1826-9 [details]
    • Migut, M. A., Worring, M., & Veenman, C. J. (2015). Visualizing Multi-Dimensional Decision Boundaries in 2D. Data Mining and Knowledge Discovery, 29(1), 273-295. https://doi.org/10.1007/s10618-013-0342-x [details]
    • Worring, M. (2015). Multimedia Analytics for Image Collection Forensics. In A. T. S. Ho, & S. Li (Eds.), Handbook of digital forensics of multimedia data and devices (pp. 305-327). Chichester: Wiley. https://doi.org/10.1002/9781118705773.ch8 [details]
    • Worring, M., & Koelma, D. (2015). Inisight in Image Collections by Multimedia Pivot Tables. In ICMR'15: proceedings of the 2015 ACM International Conference on Multimedia Retrieval: June 23-26, 2015, Shanghai, China (pp. 291-298). New York, NY: Association for Computing Machinery. https://doi.org/10.1145/2671188.2749312 [details]
    • Zahálka, J., Rudinac, S., & Worring, M. (2015). Analytic Quality: Evaluation of Performance and Insight in Multimedia Collection Analysis. In MM '15: proceedings of the 2015 ACM Multimedia Conference: October 26-30, 2015, Brisbane, Australia (pp. 231-240). New York, NY: Association for Computing Machinery. https://doi.org/10.1145/2733373.2806279 [details]
    • Zahálka, J., Rudinac, S., & Worring, M. (2015). Interactive Multimodal Learning for Venue Recommendation. IEEE Transactions on Multimedia, 17(12), 2235-2244. https://doi.org/10.1109/TMM.2015.2480007 [details]

    2014

    • Rudinac, S., & Worring, M. (2014). Making Use of Semantic Concept Detection for Modelling Human Preferences in Visual Summarization. In CrowdMM'14: proceedings of the International Workshop on Crowdsourcing for Multimedia: November 7, 2014, Orlando, Florida, USA (pp. 41-44). New York: ACM. https://doi.org/10.1145/2660114.2660127 [details]
    • Zahálka, J., & Worring, M. (2014). Towards Interactive, Intelligent, and Integrated Multimedia Analytics. In M. Chen, D. Ebert, & C. North (Eds.), 2014 IEEE Conference on Visual Analytics Science and Technology: proceedings: Paris, France, 9-14 October [i.e. November] 2014 (pp. 3-12). IEEE: Piscataway, NJ. https://doi.org/10.1109/VAST.2014.7042476 [details]
    • Zahálka, J., Rudinac, S., & Worring, M. (2014). New Yorker Melange: Interactive Brew of Personalized Venue Recommendation. In MM '14: proceedings of the 2014 ACM Conference on Multimedia: November 3-7, 2014, Orlando, Florida, USA (pp. 205-208). New York: ACM. https://doi.org/10.1145/2647868.2656403 [details]

    2013

    • 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]
    • Metternich, M. J., & Worring, M. (2013). Track Based Relevance Feedback for Tracing Persons in Surveillance Videos. Computer Vision and Image Understanding, 117(3), 229-237. https://doi.org/10.1016/j.cviu.2012.11.004
    • Worring, M. (2013). Easy Categorisation of Large Image Collections by Automatic Analysis and Information Visualization. In A. Slavic, A. Akdag Salah, & S. Davies (Eds.), Classification & visualization : interfaces to knowledge: proceedings of the International UDC Seminar 24-25 October 2013, the Hague, the Netherlands, organized by UDC Consortium, the Hague (pp. 235-241). Würzburg: Ergon Verlag GmbH. [details]
    • Worring, M., & Koelma, D. C. (2013). Multimedia Pivot Tables. In Proceedings of Visual Analytics Science and Technology (VAST) 2013 http://www.science.uva.nl/research/publications/2013/WorringVAST2013
    • de Rooij, O., & Worring, M. (2013). Active Bucket Categorization for High Recall Video Retrieval. IEEE Transactions on Multimedia, 15(4), 898-907. https://doi.org/10.1109/TMM.2013.2237894 [details]

    2012

    • Battiato, S., Emmanuel, S., Ulges, A., & Worring, M. (2012). Multimedia in forensics, security, and intelligence. IEEE Multimedia, 19(1), 17-19. https://doi.org/10.1109/MMUL.2012.10 [details]
    • Bouma, H., Borsboom, S., den Hollander, R. J. M., & Worring, M. (2012). Re-identification of persons in multicamera surveillance under varying viewpoints and illumination. Proceedings of SPIE, the International Society for Optical Engineering, 8359, 8359-26. https://doi.org/10.1117/12.918576 [details]
    • Hu, N., Bouma, H., & Worring, M. (2012). Tracking individuals in surveillance video of a high-density crowd. Proceedings of SPIE, the International Society for Optical Engineering, 8399, 8399-09. https://doi.org/10.1117/12.979489 [details]
    • Koppen, W. P., & Worring, M. (2012). Backtracking: retrospective multi-target tracking. Computer Vision and Image Understanding, 116(9), 967-980. https://doi.org/10.1016/j.cviu.2012.04.004 [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]
    • Migut, M., & Worring, M. (2012). Visual Exploration of Classification Models for Various Data Types in Risk Assessment. Information Visualization, 11(3), 237-251. https://doi.org/10.1177/1473871611433715 [details]
    • Tian, Q., Tang, J., Worring, M., & Gatica-Perez, D. (2012). Learning semantics from multimedia web resources: an introduction to the special issue. IEEE Transactions on Multimedia, 14(4), 949-950. https://doi.org/10.1109/TMM.2012.2208026 [details]
    • Worring, M., Engl, A., & Smeria, C. (2012). A multimedia analytics framework for browsing image collections in digital forensics. 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. 289-298). New York: Association for Computing Machinery. https://doi.org/10.1145/2393347.2393392 [details]
    • Worring, M., Sajda, P., Santini, S., Shamma, D. A., Smeaton, A. F., & Yang, Q. (2012). Where is the user in multimedia retrieval? IEEE Multimedia, 19(4), 6-10. https://doi.org/10.1109/MMUL.2012.53 [details]
    • Wu, J., & Worring, M. (2012). Efficient genre-specific semantic video indexing. IEEE Transactions on Multimedia, 14(2), 291-302. https://doi.org/10.1109/TMM.2011.2174969 [details]
    • de Rooij, O., & Worring, M. (2012). Efficient targeted search using a focus and context video browser. ACM Transactions on Multimedia Computing Communications and Applications, 8(4), 51. https://doi.org/10.1145/2379790.2379793 [details]

    2011

    • Dang, T. K., Worring, M., & Bui, T. D. (2011). A semi-interactive panorama based 3D reconstruction framework for indoor scenes. Computer Vision and Image Understanding, 115(11), 1516-1524. https://doi.org/10.1016/j.cviu.2011.07.001 [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]
    • Migut, M. A., van Gemert, J. C., & Worring, M. (2011). Interactive decision making using dissimilarity to visually represented prototypes. In S. Miksch, & M. Ward (Eds.), VAST 2011: IEEE Conference on Visual Analytics Science and Technology 2011: Providence, Rhode Island, USA, 23-29 October 2011: proceedings (pp. 141-149). Piscataway, NJ: IEEE. https://doi.org/10.1109/VAST.2011.6102451 [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]
    • Ulges, A., Worring, M., & Breuel, T. (2011). Learning visual contexts for image annotation from Flickr groups. IEEE Transactions on Multimedia, 13(2), 330-341. https://doi.org/10.1109/TMM.2010.2101051 [details]

    2010

    • 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]
    • Metternich, M. J., & Worring, M. (2010). Semi-Interactive Tracing of Persons in Real-Life Surveillance Data. In MiFor '10: proceedings of the 2010 ACM Workshop on Multimedia in Forensics, Security and Intelligence: October 29, 2010, Firenze, Italy (pp. 43-48). New York, NY: Association for Computing Machinery. https://doi.org/10.1145/1877972.1877985 [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]
    • Migut, M., & Worring, M. (2010). Visual Exploration of Classification Models for Risk Assessment. In A. MacEachren, & S. Miksch (Eds.), VAST 10: IEEE Conference on Visual Analytics Science and Technology 2010: Salt Lake City, Utah, USA, 24-29 October 2010: proceedings (pp. 11-18). Piscataway, NJ: IEEE. https://doi.org/10.1109/VAST.2010.5652398 [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]
    • Wu, J., & Worring, M. (2010). Genre-Specific Semantic Video Indexing. In CIVR 2010: 2010 ACM International Conference on Image and Video Retrieval, at Xi'an, China, July 5-7, 2010 (pp. 266-273). New York, NY: Association for Computing Machinery. https://doi.org/10.1145/1816041.1816081 [details]
    • de Rooij, O., & Worring, M. (2010). Browsing Video Along Multiple Threads. IEEE Transactions on Multimedia, 12(2), 121-130. https://doi.org/10.1109/TMM.2009.2037388 [details]
    • de Rooij, O., Worring, M., & van Wijk, J. J. (2010). MediaTable: Interactive Categorization of Multimedia Collections. IEEE Computer Graphics and Applications, 30(5), 42-51. https://doi.org/10.1109/MCG.2010.66 [details]

    2009

    • 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]
    • 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

    • 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]
    • Nguyen, G. P., & Worring, M. (2008). Interactive access to large image collections using similarity-based visualization. Journal of Visual Languages and Computing, 19(2), 203-224. https://doi.org/10.1016/j.jvlc.2006.09.002 [details]
    • Nguyen, G. P., & Worring, M. (2008). Optimization of interactive visual-similarity-based search. ACM Transactions on Multimedia Computing Communications and Applications, 4(1), 7. [details]
    • Smeaton, A. F., Wilkins, P., Worring, M., de Rooij, O., Chua, T. S., & Luan, H. (2008). Content-based video retrieval: Three example systems from TRECVid. International Journal of Imaging Systems and Technology, 18(2-3), 195-201. https://doi.org/10.1002/ima.20150 [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., ... 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]
    • 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]

    2016

    • Migut, M. A., & Worring, M. (2016). Features vs Prototypes: Amplifying Cognition with Common Data Graphics. In T. Isenberg, & F. Sadlo (Eds.), EuroVis 2016 - Posters [1021] The Eurographics Association. https://doi.org/10.2312/eurp.20161142 [details]

    2015

    • Van Gysel, C., de Rijke, M., & Worring, M. (2015). Semantic Entities. In ESAIR’15: proceedings of the Eighth Workshop on Exploiting Semantic Annotations in Information Retrieval (pp. 1-2). New York, NY: Association for Computing Machinery. https://doi.org/10.1145/2810133.2810139 [details]

    2013

    • Hua, X-S., Worring, M., & Chua, T-S. (Eds.) (2013). Internet Multimedia Search and Mining. Sharjah: Bentham Science Publishers. [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]

    2015

    • Worring, M. (2015). Data science in beeld. (Oratiereeks; No. 548). Universiteit van Amsterdam. [details]

    2017

    • van Dolen, W. M., Overgoor, G., Worring, M., Rietveld, R. L., & Mazloom, M. (2017). Brand Popularity Prediction Using Spatio-Temporal Brand Representation. Paper presented at ICT.OPEN 2017, Amersfoort, Netherlands.

    2016

    • Mazloom, M., Rietveld, R. L., Rudinac, S., Worring, M., & van Dolen, W. M. (2016). Multi-modal post popularity in Social media, Advanced School for Computing and Imaging (ASCI)-track. Paper presented at ICT.OPEN2016, .
    • Mazloom, M., Rietveld, R. L., Rudinac, S., Worring, M., & van Dolen, W. M. (2016). Multimodal Popularity Prediction of Brand-related Social Media Posts. Paper presented at European Data Forum 2016, Eindhoven, Netherlands. https://doi.org/10.1145/2964284.2967210
    • Mazloom, M., Rietveld, R. L., Rudinac, S., Worring, M., & van Dolen, W. M. (2016). Multimodal Popularity Prediction of Brand-related Social Media Posts. Paper presented at Netherlands Conference on Computer Vision 2016, Lunteren, Netherlands. https://doi.org/10.1145/2964284.2967210
    • Rietveld, R., Mazloom, M., Van Dolen, W., & Worring, M. (2016). Visual electronic Word of Mouth: a multimodal brand approach and case study. Paper presented at EMAC 2016, Oslo, Norway. [details]

    Award

    • Li, X., Snoek, C. & Worring, M. (2010). ACM CIVR Best paper award.

    2017

    • Zahálka, J. (2017). The machine in multimedia analytics. [details]
    • de Rooij, O. (2017). Interactive content-based visualizations for multimedia search. [details]

    2019

    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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