Blar i ODA Open Digital Archive på forfatter "Johansen, Dag"
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ResUNet++: An Advanced Architecture for Medical Image Segmentation
Jha, Debesh; Smedsrud, Pia; Riegler, Michael; Johansen, Dag; de Lange, Thomas; Halvorsen, Pål; Johansen, Håvard D. (IEEE International Symposium on Multimedia; 2019 IEEE International Symposium on Multimedia (ISM), Conference object, 2020-01-16)Accurate computer-aided polyp detection and segmentation during colonoscopy examinations can help endoscopists resect abnormal tissue and thereby decrease chances of polyps growing into cancer. Towards developing a fully ... -
ScopeSense: An 8.5-Month Sport, Nutrition, and Lifestyle Lifelogging Dataset
Riegler, Michael Alexander; Thambawita, Vajira; Nguyen, Thu; Hicks, Steven Alexander; Pettersen, Svein Arne; Telle-Hansen, Vibeke; Johansen, Dag; Jain, Ramesh; Halvorsen, Pål (Lecture Notes in Computer Science (LNCS);, Peer reviewed; Journal article, 2023)Nowadays, most people have a smartphone that can track their everyday activities. Furthermore, a significant number of people wear advanced smartwatches to track several vital biomarkers in addition to activity data. ... -
Semantic Analysis of Soccer News for Automatic Game EventClassification
Nordskog, Aanund Jupskaas; Halvorsen, Pål; Hicks, Steven; Stensland, Haakon; Hammer, Hugo Lewi; Johansen, Dag; Riegler, Michael (International Workshop on Content-Based Multimedia Indexing, CBMI; 2019 International Conference on Content-Based Multimedia Indexing (CBMI), Conference object, 2019-10-21)We are today overwhelmed with information, of which an important part is news. Sports news, in particular, has become very popular, where soccer makes up a big part of this coverage. For sports fans, it can be a time ... -
Using 3D Convolutional Neural Networks for Real-time Detection of Soccer Events
Rongved, Olav Andre Nergård; Hicks, Steven; Thambawita, Vajira L B; Stensland, Håkon Kvale; Zouganeli, Evi; Johansen, Dag; Riegler, Michael Alexander; Halvorsen, Pål (International Journal of Semantic Computing (IJSC);Volume 15, Issue 02, Peer reviewed; Journal article, 2021)Developing systems for the automatic detection of events in video is a task which has gained attention in many areas including sports. However, there are still a number of shortcomings with current systems, such as high ...