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Prof. dr. M. (Marcel) Worring

Faculty of Science
Informatics Institute
Visiting address
  • Science Park 900
  • Room number: L4.40
Postal address
  • Postbus 94323
    1090 GH Amsterdam
Contact details
  • 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

    2024

    • Groenen, I., Rudinac, S., & Worring, M. (2024). PanorAMS: Automatic Annotation for Detecting Objects in Urban Context. IEEE Transactions on Multimedia, 26, 1281-1294. https://doi.org/10.1109/TMM.2023.3279696
    • Macarulla Rodriguez, A., Geradts, Z., Worring, M., & Unzueta, L. (2024). Improved likelihood ratios for face recognition in surveillance video by multimodal feature pairing. Forensic Science International: Synergy, 8, Article 100458. https://doi.org/10.1016/j.fsisyn.2024.100458 [details]
    • Sharma, U., Rudinac, S., Demmers, J., van Dolen, W. M., & Worring, M. (2024). From pixels to perceptions: Capturing high-level abstract concepts in visual user-generated content. International Journal of Information Management Data Insights, 4(2), Article 100269. https://doi.org/10.1016/j.jjimei.2024.100269
    • Sharma, U., Rudinac, S., Demmers, J., van Dolen, W., & Worring, M. (2024). GreenScreen: A Multimodal Dataset for Detecting Corporate Greenwashing in the Wild. In S. Rudinac, A. Hanjalic, C. Liem, M. Worring, B. Þ. Jónsson, B. Liu, & Y. Yamakata (Eds.), Multimedia Modeling: 30th International Conference, MMM 2024, Amsterdam, The Netherlands, January 29-February 2, 2024 : proceedings (Vol. V, pp. 96-109). (Lecture Notes in Computer Science; Vol. 14565). Springer. https://doi.org/10.1007/978-3-031-56435-2_8 [details]
    • Sukel, M., Rudinac, S., & Worring, M. (2024). Multimodal Temporal Fusion Transformers are Good Product Demand Forecasters. IEEE Multimedia, 31(2), 48-60. https://doi.org/10.1109/MMUL.2024.3373827 [details]
      • Downloads
    • Wang, S., Shen, J., Efthymiou, A., Rudinac, S., Kackovic, M., Wijnberg, N., & Worring, M. (2024). Prototype-Enhanced Hypergraph Learning for Heterogeneous Information Networks. In S. Rudinac, A. Hanjalic, C. Liem, M. Worring, B. Þ. Jónsson, B. Liu, & Y. Yamakata (Eds.), MultiMedia Modeling: 30th International Conference, MMM 2024, Amsterdam, The Netherlands, January 29–February 2, 2024 : proceedings (Vol. III, pp. 462-476). (Lecture Notes in Computer Science; Vol. 14556). Springer. https://doi.org/10.1007/978-3-031-53311-2_34 [details]
    • de Leeuw den Bouter, M., Lloret Pardo, J., Geradts, Z., & Worring, M. (2024). ProtoExplorer: Interpretable forensic analysis of deepfake videos using prototype exploration and refinement. Information Visualization, 23(3), 217-291. https://doi.org/10.1177/14738716241238476 [details]

    2023

    2022

    2021

    • Efthymiou, A., Rudinac, S., Kackovic, M., Worring, M., & Wijnberg, N. (2021). Graph Neural Networks for Knowledge Enhanced Visual Representation of Paintings. In MM '21: Proceedings of the 29th ACM International Conference on Multimedia : October 20-24, 2021, Virtual Event, China (pp. 3710-3719). Association for Computing Machinery. https://doi.org/10.1145/3474085.3475586 [details]
    • 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. Advance online publication. https://doi.org/10.1007/978-3-030-67835-7_21 [details]
    • Huang, J-H., Murn, L., Mrak, M., & Worring, M. (2021). GPT2MVS: Generative Pre-Trained Transformer-2 for Multi-Modal Video Summarization. In ICMR '21: proceedings of the 2021 International Conference on Multimedia Retrieval : August 21-24, 2021, Taipei, Taiwan (pp. 580-589). The Association for Computing Machinery. https://doi.org/10.1145/3460426.3463662 [details]
    • Huang, J-H., Wu, T-W., & Worring, M. (2021). Contextualized Keyword Representations for Multi-Modal Retinal Image Captioning. In ICMR '21: proceedings of the 2021 International Conference on Multimedia Retrieval : August 21-24, 2021, Taipei, Taiwan (pp. 645-652). The Association for Computing Machinery. https://doi.org/10.1145/3460426.3463667 [details]
    • Huang, J-H., Wu, T-W., Yang, C-HH., & Worring, M. (2021). Deep context-encoding network for retinal image captioning. In 2021 IEEE International Conference on Image Processing: proceedings : 19-22 September 2021, Anchorage, Alaska, USA (pp. 3762-3766). (ICIP). IEEE. https://doi.org/10.1109/ICIP42928.2021.9506803 [details]
    • Huang, J-H., Yang, C-HH., Liu, F., Tian, M., Liu, Y-C., Wu, T-W., Lin, I-H., Wang, K., Morikawa, H., Chang, H., Tegner, J., & Worring, M. (2021). DeepOpht: Medical Report Generation for Retinal Images via Deep Models and Visual Explanation. In 2021 IEEE Winter Conference on Applications of Computer Vision: proceedings : 5-9 January 2021, virtual event (pp. 2441-2451). (WACV). IEEE Computer Society. https://doi.org/10.1109/WACV48630.2021.00249 [details]
    • Ibrahimi, S., van Noord, N. J. E., Alpherts, T. O. L., & Worring, M. (2021). Inside Out Visual Place Recognition. In British Machine Vision Conference
    • Khan, O. S., Duane, A., Jónsson, B. Þ., Zahálka, J., Rudinac, S., & Worring, M. (2021). Exquisitor at the Lifelog Search Challenge 2021: Relationships between Semantic Classifiers. In LSC 2021 : Proceedings of the 4th Annual Lifelog Search Challenge: August 21, 2021, Taipei, Taiwan (pp. 3-6). Association for Computing Machinery. https://doi.org/10.1145/3463948.3469255 [details]
    • Khan, O. S., Jónsson, B. Þ., Larsen, M., Poulsen, L., Koelma, D. C., Rudinac, S., Worring, M., & Zahálka, J. (2021). Exquisitor at the Video Browser Showdown 2021: Relationships Between Semantic Classifiers. 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. 410-416). (Lecture Notes in Computer Science; No. 12573). Springer. https://doi.org/10.1007/978-3-030-67835-7_37 [details]
    • Khan, O. S., Jónsson, B. Þ., Zahálka, J., Rudinac, S., & Worring, M. (2021). Impact of interaction strategies on user relevance feedback. In ICMR '21: proceedings of the 2021 International Conference on Multimedia Retrieval : August 21-24, 2021, Taipei, Taiwan (pp. 590-598). The Association for Computing Machinery. https://doi.org/10.1145/3460426.3463663 [details]
    • Najdenkoska, I., Zhen, X., Worring, M., & Shao, L. (2021). Variational Topic Inference for Chest X-Ray Report Generation. In M. de Bruijne, P. C. Cattin, S. Cotin, N. Padoy, S. Speidel, Y. Zheng, & C. Essert (Eds.), Medical Image Computing and Computer Assisted Intervention – MICCAI 2021: 24th International Conference, Strasbourg, France, September 27–October 1, 2021 : proceedings (Vol. III, pp. 625-635). (Lecture Notes in Computer Science; Vol. 12903). Springer. Advance online publication. https://doi.org/10.1007/978-3-030-87199-4_59 [details]
    • Najdenkoska, I., den Boef, J., Schneider, T., van der Werf, J., de Ridder, R., Fathurrahman, F., & Worring, M. (2021). GCNIllustrator: Illustrating the Effect of Hyperparameters on Graph Convolutional Networks. In MM '21: Proceedings of the 29th ACM International Conference on Multimedia : October 20-24, 2021, Virtual Event, China (pp. 2807-2809). Association for Computing Machinery. https://doi.org/10.1145/3474085.3478566 [details]
    • van Sonsbeek, T., Zhen, X., Worring, M., & Shao, L. (2021). Variational Knowledge Distillation for Disease Classification in Chest X-Rays. In A. Feragen, S. Sommer, J. Schnabel, & M. Nielsen (Eds.), Information Processing in Medical Imaging: 27th International Conference, IPMI 2021, virtual event, June 28–June 30, 2021 : proceedings (pp. 334-345). (Lecture Notes in Computer Science; Vol. 12729). Springer. Advance online publication. https://doi.org/10.1007/978-3-030-78191-0_26 [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. Advance online publication. 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. Advance online publication. 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). 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). 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). 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). 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]
    • 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). 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). 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). 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). 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). 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). 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), Article 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). 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. Advance online publication. 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). 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). 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). 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). 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). 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). 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. Advance online publication. 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. Advance online publication. 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). 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). 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). 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). 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). 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). ACM. https://doi.org/10.1145/2647868.2656403 [details]

    2013

    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., Landsmeer, S. H., & Worring, M. (2012). Re-identification of persons in multicamera surveillance under varying viewpoints and illumination. In E. M. Carapezza (Ed.), Sensors, and Command, Control, Communications, and Intelligence (C3I) Technologies for Homeland Security and Homeland Defense XI: 23-25 April 2012, Baltimore, Maryland, United States Article 83590Q (Proceedings of SPIE, the International Society for Optical Engineering; Vol. 8359). SPIE. 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. In M. A. Neifeld, & A. Ashok (Eds.), Visual Information Processing XXI: 24-25 April 2012, Baltimore, Maryland, United States Article 839909 (Proceedings of SPIE, the International Society for Optical Engineering; Vol. 8399). SPIE. https://doi.org/10.1117/12.918604 [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). 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). 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). 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). 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). 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 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). 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). 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). 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). 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., 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]
    • 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). 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). 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., Bugalho, M., Trancoso, I., Yan, F., Tahir, M. A., Mikolajczyk, K., Kittler, J., de Rijke, M., Geusebroek, J. M., Gevers, T., Worring, M., Smeulders, A. W. M., & Koelma, D. C. (2009). The MediaMill TRECVID 2009 semantic video search engine. In TRECVID 2009 Overview Papers and Slides National Institute of Standards and Technology (NIST). http://www-nlpir.nist.gov/projects/tvpubs/tv9.papers/mediamill.pdf [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). Association for Computing Machinery (ACM). http://doi.acm.org/10.1145/1460096.1460126 [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. http://doi.acm.org/10.1145/1324287.1324294 [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). 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). Association for Computing Machinery (ACM). http://doi.acm.org/10.1145/1386352.1386414 [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). Association for Computing Machinery (ACM). http://doi.acm.org/10.1145/1386352.1386431 [details]

    2023

    2021

    • Soleimani, A., Monz, C., & Worring, M. (2021). NLQuAD: A Non-Factoid Long Question Answering Data Set. In P. Merlo, J. Tiedemann, & R. Tsarfaty (Eds.), The 16th Conference of the European Chapter of the Association for Computational Linguistics: EACL 2021 : proceedings of the conference : April 19-23, 2021 (pp. 1245-1255). Association for Computational Linguistics. https://doi.org/10.18653/v1/2021.eacl-main.106 [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 Article 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). Association for Computing Machinery. https://doi.org/10.1145/2810133.2810139 [details]

    2013

    2009

    2015

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

    2023

    • Beetsma, R. M. W. J., Salomon, M., & Worring, M. (2023). Mislukking Duisenberg School of Finance ligt ver achter ons. Het Financieele Dagblad - Opinie & Dialoog, 25.

    2023

    • Najdenkoska, I., Derakhshani, M. M., Snoek, C. G. M., Worring, M., & Asano, Y. M. (2023). Self-Supervised Open-Ended Classification with Small Visual Language Models. https://arxiv.org/pdf/2310.00500.pdf

    2022

    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]

    2013

    Prize / grant

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

    2017

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

    2019

    2023

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