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2020
D. Jha, M. Riegler, D. Johansen, P. Halvorsen and H. D. Johansen. DoubleU-Net: A Deep Convolutional Neural Network for Medical Image Segmentation In CBMS 2020: International Symposium on Computer-Based Medical Systems. IEEE, 2020.PDF icon 09183321_1.pdf (1.15 MB)
S. Hicks, D. Jha, V. Thambawita, P. Halvorsen, H. L. Hammer and M. Riegler. The EndoTect 2020 Challenge: Evaluation and Comparison of Classification, Segmentation and Inference Time for Endoscopy In 25th International Conference on Pattern Recognition (ICPR). IEEE, 2020.
V. Thambawita, D. Jha, H. L. Hammer, H. D. Johansen, D. Johansen, P. Halvorsen and M. Riegler. "An Extensive Study on Cross-Dataset Bias and Evaluation Metrics Interpretation for Machine Learning applied to Gastrointestinal Tract Abnormality Classification." ACM Transactions on Computing for Healthcare 1 (2020): 1-29.PDF icon 3386295.pdf (8.11 MB)
E. Garcia-Ceja, B. Morin, A. Aguilar-Rivera and M. Riegler. "A Genetic Attack Against Machine Learning Classifiers to Steal Biometric Actigraphy Profiles from Health Related Sensor Data." Journal of Medical Systems 44, no. 10 (2020): 1-11.
F. M. Noori, M. Riegler, M. Z. Uddin and J. Torresen. "Human Activity Recognition from Multiple Sensors Data Using Multi-fusion Representations and CNNs." ACM Transactions on Multimedia Computing, Communications, and Applications 16, no. 2 (2020): 1-19.
H. Borgli, V. Thambawita, P. H. Smedsrud, S. Hicks, D. Jha, S. L. Eskeland, K. R. Randel, K. Pogorelov, M. Lux, D. T. D. Nguyen et al. "HyperKvasir, a comprehensive multi-class image and video dataset for gastrointestinal endoscopy." Scientific Data 7, no. 1 (2020): 1-14.PDF icon nature_scientific_data_hyper_kvasir_revision.pdf (6.09 MB)
B. Ionescu, H. Müller, R. Péteri, D. Dang-Nguyen, L. Zhou, L. Piras, M. Riegler, P. Halvorsen, M. Tran, M. Lux et al. ImageCLEF 2020: Multimedia Retrieval in Lifelogging, Medical, Nature, and Internet Applications In European Conference on Information Retrieval, Edited by J. M. Jose, E. Yilmaz, J. Magalhães, P. Castells, N. Ferro, M. J. Silva and F. Martins. Cham: Springer International Publishing, 2020.
D. Jha, S. Ali, K. Emanuelsen, S. Hicks, V. Thambawita, E. Garcia-Ceja, M. Riegler, T. de Lange, P. T. Schmidt, H. D. Johansen et al. Kvasir-instrument: Diagnostic and therapeutic tool segmentation dataset in gastrointestinal endoscopy In International Conference on Multimedia Modeling. Springer, 2020.
D. Jha, P. H. Smedsrud, M. Riegler, P. Halvorsen, H. D. Johansen, T. de Lange and D. Johansen. Kvasir-SEG: A Segmented Polyp Dataset In International Conference on Multimedia Modeling. Daejeon, Korea: Springer, 2020.PDF icon mmm_2020_kvasir_seg_debesh.pdf (4.04 MB)
D. Jha, A. Yazidi, M. Riegler, D. Johansen, H. D. Johansen and P. Halvorsen. LightLayers: Parameter Efficient Dense and Convolutional Layers for Image Classification In The Joint International Conference PDCAT-PAAP 2020. Springer, 2020.PDF icon pdcat_paap_springer_debesh.pdf (288.65 KB)
K. Kousias, A. Pappas, Ö. Alay, A. Argyriou and M. Riegler. "Long short term memory networks for bandwidth forecasting in mobile broadband networks under mobility." arXiv preprint arXiv:2011.10563 (2020).
D. Jha, S. Hicks, K. Emanuelsen, H. D. Johansen, D. Johansen, T. de Lange, M. Riegler and P. Halvorsen. Medico Multimedia Task at MediaEval 2020: Automatic Polyp Segmentation In Medico MediaEval 2020. CEUR, 2020.PDF icon 2020_automatic_polyp_segmentation_challenge_debesh.pdf (1.49 MB)
T. Le, V. Ninh, L. Zhou, M. Nguyen-Ngoc, H. Trinh, N. Tran, L. Piras, M. Riegler, P. Halvorsen and M. Lux. Organiser Team at ImageCLEFlifelog 2020: A Baseline Approach for Moment Retrieval and Athlete Performance Prediction using Lifelog Data In CLEF2020. CEUR Workshop Proceedings, 2020.
V. Ninh, T. Le, L. Zhou, L. Piras, M. Riegler, P. Halvorsen, M. Tran, M. Lux, C. Gurrin and D. Dang-Nguyen. Overview of ImageCLEF lifelog 2020: lifelog moment retrieval and sport performance lifelog In CLEF2020 . CEUR Workshop Proceedings, 2020.
B. Ionescu, H. Müller, R. Péteri, A. Ben Abacha, V. Datla, S. A. Hasan, D. Demner-Fushman, S. Kozlovski, V. Liauchuk, Y. D. Cid et al. Overview of the ImageCLEF 2020: Multimedia Retrieval in Medical, Lifelogging, Nature, and Internet Applications In CLEF 2020, Edited by A. Arampatzis, E. Kanoulas, T. Tsikrika, S. Vrochidis, H. Joho, C. Lioma, C. Eickhoff, A. Névéol, L. Cappellato and N. Ferro. Vol. 12260. Cham: Springer International Publishing, 2020.
C. Wu, C. Hsu, T. Kuo, C. Griwodz, M. Riegler, G. Morin and C. Hsu. PCC arena: a benchmark platform for point cloud compression algorithms In MMSys '20: 11th ACM Multimedia Systems ConferenceProceedings of the 12th ACM International Workshop on Immersive Mixed and Virtual Environment Systems, Edited by R. Eg, J. van der Hooft and K. Raaen. New York, NY, USA: ACM, 2020.
V. Thambawita, S. Hicks, H. Borgli, H. K. Stensland, D. Jha, M. K. Svensen, S. Pettersen, D. Johansen, H. D. Johansen, S. D. Pettersen et al. PMData: a sports logging dataset In Proceedings of the 11th ACM Multimedia Systems Conference. ACM, 2020.PDF icon 3339825.3394926.pdf (23.99 MB)
P. Jakobsen, E. Garcia-Ceja, L. A. Stabell, K. J. Oedegaard, J. O. Berle, V. Thambawita, S. Hicks, P. Halvorsen, O. B. Fasmer and M. Riegler. PSYKOSE: A Motor Activity Database of Patients with Schizophrenia In 2020 IEEE 33rd International Symposium on Computer-Based Medical Systems (CBMS). Rochester, MN, USA: IEEE, 2020.
V. Thambawita, S. Hicks, P. Halvorsen and M. Riegler. Pyramid-Focus-Augmentation: Medical Image Segmentation with Step-Wise Focus In MediaEval 2020. CEUR, 2020.PDF icon medicotask_2020_vajira-2.pdf (1.08 MB)
O. A. N. Rongved, S. Hicks, V. Thambawita, H. K. Stensland, E. Zouganeli, D. Johansen, M. Riegler and P. Halvorsen. Real-Time Detection of Events in Soccer Videos using 3D Convolutional Neural Networks In 2020 IEEE International Symposium on Multimedia (ISM). IEEE, 2020.
C. W. Chen, R. Cucchiara, X. Hua, G. Qi, E. Ricci, Z. Zhang, R. Zimmermann, F. Yu, D. Wang, H. Wang et al. Reproducibility Companion Paper: Instance of Interest Detection In Proceedings of the 28th ACM International Conference on Multimedia. New York, NY, USA: ACM, 2020.
C. W. Chen, R. Cucchiara, X. Hua, G. Qi, E. Ricci, Z. Zhang, R. Zimmermann, T. Hoang, T. Do, N. Cheung et al. Reproducibility Companion Paper: Selective Deep Convolutional Features for Image Retrieval In Proceedings of the 28th ACM International Conference on Multimedia. New York, NY, USA: ACM, 2020.
H. D. Johansen, D. Johansen, T. Kupka, M. Riegler and P. Halvorsen. Scalable Infrastructure for Efficient Real-Time Sports Analytics In Companion Publication of the 2020 International Conference on Multimodal Interaction, Edited by K. Truong, D. Heylen, M. Czerwinski, N. Berthouze, M. Chetouani and M. Nakano. New York, NY, USA: ACM, 2020.PDF icon 3395035.3425300.pdf (1.88 MB)
H. Svoren, V. Thambawita, P. Halvorsen, P. Jakobsen, E. Garcia-Ceja, F. M. Noori, H. L. Hammer, M. Lux, M. Riegler and S. Hicks. Toadstool: A Dataset for Training Emotional IntelligentMachines Playing Super Mario Bros In The ACM Multimedia Systems Conference (MMSys). The ACM Multimedia Systems Conference (MMSys): ACM, 2020.
O. O. Nedrejord, V. Thambawita, S. Hicks, P. Halvorsen and M. Riegler. Vid2Pix - A Framework for Generating High-Quality Synthetic Videos In 2020 IEEE International Symposium on Multimedia (ISM). IEEE, 2020.PDF icon ieee_ism_2020_vid2pix_oda_short_copy-2.pdf (964.02 KB)

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