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ORCIDMichael Riegler 0001
Michael A. Riegler – Michael Alexander Riegler
Person information
- affiliation: Simula Metropolitan Center for Digital Engineering
- affiliation: University of Tromsø, Norway
- affiliation (former): Kristiania University College, Oslo, Norway
- affiliation (PhD 2015): University of Oslo, Norway
- affiliation (former): Delft University of Technology, The Netherlands
Other persons with the same name
- Michael Riegler 0002
![[0000-0002-6937-986X]](https://dblp.uni-trier.de./img/orcid-mark.12x12.png "0000-0002-6937-986X")
— Johannes Kepler University, Linz, Austria
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2020 – today
- 2024
[j45]Stephanie Zubicueta Portales, Michael Alexander Riegler:
Maleficent Neural Networks, the Embedding of Malware in Neural Networks: A Survey. IEEE Access 12: 69753-69764 (2024)- [j44]Minh-Quan Vo, Thu Nguyen, Michael A. Riegler, Hugo Lewi Hammer:
Efficient Estimation of Generative Models Using Tukey Depth. Algorithms 17(3): 120 (2024) - [c210]Bogdan Ionescu, Henning Müller, Ana-Maria Claudia Dragulinescu, Ahmad Idrissi-Yaghir, Ahmedkhan Radzhabov, Alba Garcia Seco de Herrera, Alexandra Andrei, Alexandru Stan, Andrea M. Storås, Asma Ben Abacha, Benjamin Lecouteux, Benno Stein, Cécile Macaire, Christoph M. Friedrich, Cynthia S. Schmidt, Didier Schwab, Emmanuelle Esperança-Rodier, George Ioannidis, Griffin Adams, Henning Schäfer, Hugo Manguinhas, Ioan Coman, Johanna Schöler, Johannes Kiesel, Johannes Rückert, Louise Bloch, Martin Potthast, Maximilian Heinrich, Meliha Yetisgen, Michael A. Riegler, Neal Snider, Pål Halvorsen, Raphael Brüngel, Steven Alexander Hicks, Vajira Thambawita, Vassili Kovalev, Yuri Prokopchuk, Wen-wai Yim:
Advancing Multimedia Retrieval in Medical, Social Media and Content Recommendation Applications with ImageCLEF 2024. ECIR (6) 2024: 44-52 - [c209]Duc-Tien Dang-Nguyen, Sohail Ahmed Khan, Michael Riegler, Pål Halvorsen, Anh-Duy Tran, Minh-Son Dao, Minh-Triet Tran:
Overview of the Grand Challenge on Detecting Cheapfakes at ACM ICMR 2024. ICMR 2024: 1275-1281 - [c208]Minh-Son Dao, Michael Alexander Riegler, Duc-Tien Dang-Nguyen, Hanh-Nhi Tran, Rage Uday Kiran, Takahiro Komamizu:
ICDAR 24: Intelligent Cross-Data Analysis and Retrieval. ICMR 2024: 1332-1333 - [c207]Nhat-Hao Pham, Khanh-Linh Vo, Mai Anh Vu, Thu Nguyen, Michael A. Riegler, Pål Halvorsen, Binh T. Nguyen:
Correlation Visualization Under Missing Values: A Comparison Between Imputation and Direct Parameter Estimation Methods. MMM (4) 2024: 103-116 - [c206]Faiga Alawad, Pål Halvorsen, Michael A. Riegler:
E2Evideo: End to End Video and Image Pre-processing and Analysis Tool. MMM (4) 2024: 258-264 - [c205]Mehdi Houshmand Sarkhoosh, Sayed Mohammad Majidi Dorcheh, Cise Midoglu, Saeed Shafiee Sabet, Tomas Kupka, Dag Johansen, Michael A. Riegler, Pål Halvorsen:
AI-Based Cropping of Soccer Videos for Different Social Media Representations. MMM (4) 2024: 279-287 - [c204]Aril Bernhard Ovesen, Tor-Arne Schmidt Nordmo, Michael Alexander Riegler, Pål Halvorsen, Dag Johansen:
Sustainable Commercial Fishery Control Using Multimedia Forensics Data from Non-trusted, Mobile Edge Nodes. MMM (3) 2024: 327-340 - [c203]Evan Jåsund Kassab, Håkon Maric Solberg, Sushant Gautam, Saeed Shafiee Sabet, Thomas Torjusen, Michael Riegler, Pål Halvorsen, Cise Midoglu:
TACDEC: Dataset of Tackle Events in Soccer Game Videos. MMSys 2024: 250-256 - [c202]Pegah Salehi, Syed Zohaib Hassan, Gunn Astrid Baugerud, Martine B. Powell, M. Cayetana López Cano, Miriam S. Johnson, Ragnhild Klingenberg Røed, Dag Johansen, Saeed Shafiee Sabet, Michael A. Riegler, Pål Halvorsen:
Immersive Virtual Reality in Child Interview Skills Training: A Comparison of 2D and 3D Environments. MMVE@MMSys 2024: 1-7 - [i60]Matthias Boeker, Vajira Thambawita, Michael Riegler, Pål Halvorsen, Hugo Lewi Hammer:
Advancing sleep detection by modelling weak label sets: A novel weakly supervised learning approach. CoRR abs/2402.17601 (2024) - 2023
- [j43]Matthias Boeker, Petter Jakobsen, Michael A. Riegler, Lena Antonsen Stabell, Ole Bernt Fasmer, Pål Halvorsen, Hugo Lewi Hammer:
Affect Recognition in Muscular Response Signals. IEEE Access 11: 61914-61928 (2023) - [j42]Phuc-Thinh Nguyen, Minh-Son Dao, Michael A. Riegler, Rage Uday Kiran, Thai-Thinh Dang, Duy-Dong Le, Kieu-Chinh Nguyen-Ly, Thanh-Qui Pham, Van-Luong Nguyen:
Training Performance Indications for Amateur Athletes Based on Nutrition and Activity Lifelogs. Algorithms 16(1): 30 (2023) - [j41]Hugo Lewi Hammer, Anis Yazidi, Michael A. Riegler, Håvard Rue:
Efficient quantile tracking using an oracle. Appl. Intell. 53(1): 289-300 (2023) - [j40]Akriti Sharma, Ayaz Z. Ansari, Radhika Kakulavarapu, Mette H. Stensen, Michael A. Riegler, Hugo Lewi Hammer:
Predicting Cell Cleavage Timings from Time-Lapse Videos of Human Embryos. Big Data Cogn. Comput. 7(2): 91 (2023) - [j39]Ayan Chatterjee, Nibedita Pahari, Andreas Prinz, Michael Riegler:
AI and semantic ontology for personalized activity eCoaching in healthy lifestyle recommendations: a meta-heuristic approach. BMC Medical Informatics Decis. Mak. 23(1): 278 (2023) - [j38]Matthias Boeker, Hugo Lewi Hammer, Michael A. Riegler, Pål Halvorsen, Petter Jakobsen:
Prediction of schizophrenia from activity data using hidden Markov model parameters. Neural Comput. Appl. 35(8): 5619-5630 (2023) - [j37]Vladimir Monakhov, Vajira Thambawita, Pål Halvorsen, Michael A. Riegler:
GridHTM: Grid-Based Hierarchical Temporal Memory for Anomaly Detection in Videos. Sensors 23(4): 2087 (2023) - [j36]Nikhil Kumar Tomar, Debesh Jha, Michael A. Riegler, Håvard D. Johansen, Dag Johansen, Jens Rittscher, Pål Halvorsen, Sharib Ali:
FANet: A Feedback Attention Network for Improved Biomedical Image Segmentation. IEEE Trans. Neural Networks Learn. Syst. 34(11): 9375-9388 (2023) - [c201]Thu Nguyen, Hoang Thien Ly, Michael Alexander Riegler, Pål Halvorsen, Hugo Lewi Hammer:
Principal Components Analysis Based Frameworks for Efficient Missing Data Imputation Algorithms. ACIIDS (Companion) 2023: 254-266 - [c200]Andrea M. Storås, Morten Magnø, Fredrik A. Fineide, Bernd Thiede, Xiangjun Chen, Inga Strümke, Pål Halvorsen, Tor P. Utheim, Michael A. Riegler:
Identifying Important Proteins in Meibomian Gland Dysfunction with Explainable Artificial Intelligence. CBMS 2023: 204-209 - [c199]Sajad Amouei Sheshkal, Michael Alexander Riegler, Hugo Lewi Hammer:
ML-Peaks: CHIP-Seq Peak Detection Pipeline using Machine Learning Techniques. CBMS 2023: 335-340 - [c198]Fredrik A. Fineide, Andrea M. Storås, Michael A. Riegler, Tor Paaske Utheim:
Predicting Meibomian Gland Dropout and Feature Importance Analysis with Explainable Artificial Intelligence. CBMS 2023: 366-373 - [c197]Pia Helen Smedsrud, Håvard Espeland, Tor Jan Derek Berstad, Andreas Petlund, Thomas de Lange, Michael A. Riegler, Pål Halvorsen:
Man vs. AI: An in silico study of polyp detection performance. CBMS 2023: 720-725 - [c196]Bogdan Ionescu, Henning Müller, Ana-Maria Dragulinescu, Wen-wai Yim, Asma Ben Abacha, Neal Snider, Griffin Adams, Meliha Yetisgen, Johannes Rückert, Alba García Seco de Herrera, Christoph M. Friedrich, Louise Bloch, Raphael Brüngel, Ahmad Idrissi-Yaghir, Henning Schäfer, Steven Alexander Hicks, Michael A. Riegler, Vajira Thambawita, Andrea M. Storås, Pål Halvorsen, Nikolaos Papachrysos, Johanna Schöler, Debesh Jha, Alexandra-Georgiana Andrei, Ioan Coman, Vassili Kovalev, Ahmedkhan Radzhabov, Yuri Prokopchuk, Liviu-Daniel Stefan, Mihai Gabriel Constantin, Mihai Dogariu, Jérôme Deshayes, Adrian Popescu:
Overview of the ImageCLEF 2023: Multimedia Retrieval in Medical, Social Media and Internet Applications. CLEF 2023: 370-396 - [c195]Steven Hicks, Andrea M. Storås, Pål Halvorsen, Thomas de Lange, Michael Riegler, Vajira Thambawita:
Overview of ImageCLEFmedical 2023 - Medical Visual Question Answering for Gastrointestinal Tract. CLEF (Working Notes) 2023: 1316-1327 - [c194]Bogdan Ionescu, Henning Müller, Ana-Maria Claudia Dragulinescu, Adrian Popescu, Ahmad Idrissi-Yaghir, Alba García Seco de Herrera, Alexandra Andrei, Alexandru Stan, Andrea M. Storås, Asma Ben Abacha, Christoph M. Friedrich, George Ioannidis, Griffin Adams, Henning Schäfer, Hugo Manguinhas, Ihar Filipovich, Ioan Coman, Jérôme Deshayes, Johanna Schöler, Johannes Rückert, Liviu-Daniel Stefan, Louise Bloch, Meliha Yetisgen, Michael A. Riegler, Mihai Dogariu, Mihai Gabriel Constantin, Neal Snider, Nikolaos Papachrysos, Pål Halvorsen, Raphael Brüngel, Serge Kozlovski, Steven Hicks, Thomas de Lange, Vajira Thambawita, Vassili Kovalev, Wen-wai Yim:
ImageCLEF 2023 Highlight: Multimedia Retrieval in Medical, Social Media and Content Recommendation Applications. ECIR (3) 2023: 557-567 - [c193]Roman Machácek, Leila Mozaffari, Zahra Sepasdar, Sravanthi Parasa, Pål Halvorsen, Michael A. Riegler, Vajira Thambawita:
Mask-conditioned latent diffusion for generating gastrointestinal polyp images. ICDAR@ICMR 2023: 1-9 - [c192]Thu Nguyen, Rabindra Khadka, Nhan Phan, Anis Yazidi, Pål Halvorsen, Michael A. Riegler:
Combining datasets to improve model fitting. IJCNN 2023: 1-9 - [c191]Sayed Mohammad Majidi Dorcheh, Mehdi Houshmand Sarkhoosh, Cise Midoglu, Saeed Shafiee Sabet, Tomas Kupka, Michael A. Riegler, Dag Johansen, Pål Halvorsen:
SmartCrop: AI-Based Cropping of Soccer Videos. ISM 2023: 20-27 - [c190]Vajira Thambawita, Andrea M. Storås, Tuan-Luc Huynh, Hai-Dang Nguyen, Minh-Triet Tran, Trung-Nghia Le, Pål Halvorsen, Michael Riegler, Steven Hicks, Thien-Phuc Tran:
Medico Multimedia Task at MediaEval 2023: Transparent Tracking of Spermatozoa. MediaEval 2023 - [c189]Guillaume Habault, Minh-Son Dao, Michael Alexander Riegler, Duc-Tien Dang-Nguyen, Yuta Nakashima, Cathal Gurrin:
ICDAR'23: Intelligent Cross-Data Analysis and Retrieval. ICMR 2023: 674-675 - [c188]Debesh Jha, Vanshali Sharma, Neethi Dasu, Nikhil Kumar Tomar, Steven Hicks, Manas Kamal Bhuyan, Pradip K. Das, Michael A. Riegler, Pål Halvorsen, Ulas Bagci, Thomas de Lange:
GastroVision: A Multi-class Endoscopy Image Dataset for Computer Aided Gastrointestinal Disease Detection. ML4MHD 2023: 125-140 - [c187]Alireza Hossein Zadeh Nik, Michael A. Riegler, Pål Halvorsen, Andrea M. Storås:
Generation of Synthetic Tabular Healthcare Data Using Generative Adversarial Networks. MMM (1) 2023: 434-446 - [c186]Michael A. Riegler, Vajira Thambawita, Ayan Chatterjee, Binh T. Nguyen, Steven Alexander Hicks, Vibeke Telle-Hansen, Svein Arne Pettersen, Dag Johansen, Ramesh C. Jain, Pål Halvorsen:
ScopeSense: An 8.5-Month Sport, Nutrition, and Lifestyle Lifelogging Dataset. MMM (1) 2023: 502-514 - [c185]Tor-Arne S. Nordmo, Michael A. Riegler, Håvard D. Johansen, Dag Johansen:
Arctic HARE: A Machine Learning-Based System for Performance Analysis of Cross-Country Skiers. MMM (1) 2023: 553-564 - [c184]Thu Nguyen, Andrea M. Storås, Vajira Thambawita, Steven Alexander Hicks, Pål Halvorsen, Michael A. Riegler:
Multimedia Datasets: Challenges and Future Possibilities. MMM (2) 2023: 711-717 - [e9]Guillaume Habault, Minh-Son Dao, Michael Alexander Riegler, Duc-Tien Dang-Nguyen, Yuta Nakashima, Cathal Gurrin:
Proceedings of the 4th ACM Workshop on Intelligent Cross-Data Analysis and Retrieval, ICDAR 2023, Thessaloniki, Greece, June 12-15, 2023. ACM 2023 [contents] - [d1]Matthias Boeker, Petter Jakobsen, Michael Alexander Riegler, Lena Antonsen Stabell, Ole Bernt Fasmer, Pål Halvorsen, Hugo Lewi Hammer:
Affect recognition in muscular response signals. IEEE DataPort, 2023
- [i59]Mai Anh Vu, Thu Nguyen, Tu T. Do, Nhan Phan, Pål Halvorsen, Michael A. Riegler, Binh T. Nguyen:
Conditional expectation for missing data imputation. CoRR abs/2302.00911 (2023) - [i58]Annika Reinke, Minu Tizabi, Michael Baumgartner, Matthias Eisenmann, Doreen Heckmann-Nötzel, A. Emre Kavur, Tim Rädsch, Carole H. Sudre, Laura Ación, Michela Antonelli, Tal Arbel, Spyridon Bakas, Arriel Benis, Matthew B. Blaschko, Florian Büttner, M. Jorge Cardoso, Veronika Cheplygina, Jianxu Chen, Evangelia Christodoulou, Beth A. Cimini, Gary S. Collins, Keyvan Farahani, Luciana Ferrer, Adrian Galdran, Bram van Ginneken, Ben Glocker, Patrick Godau, Robert Haase, Daniel A. Hashimoto, Michael M. Hoffman, Merel Huisman, Fabian Isensee, Pierre Jannin, Charles E. Kahn, Dagmar Kainmueller, Bernhard Kainz, Alexandros Karargyris, Alan Karthikesalingam, Hannes Kenngott, Jens Kleesiek, Florian Kofler, Thijs Kooi, Annette Kopp-Schneider, Michal Kozubek, Anna Kreshuk, Tahsin M. Kurç, Bennett A. Landman, Geert Litjens, Amin Madani, Klaus H. Maier-Hein, Anne L. Martel, Peter Mattson, Erik Meijering, Bjoern H. Menze, Karel G. M. Moons, Henning Müller, Brennan Nichyporuk, Felix Nickel, Jens Petersen, Susanne M. Rafelski, Nasir M. Rajpoot, Mauricio Reyes, Michael A. Riegler, Nicola Rieke, Julio Saez-Rodriguez, Clara I. Sánchez, Shravya Shetty, Maarten van Smeden, Ronald M. Summers, Abdel A. Taha, Aleksei Tiulpin, Sotirios A. Tsaftaris, Ben Van Calster, Gaël Varoquaux, Manuel Wiesenfarth, Ziv R. Yaniv, Paul F. Jäger, Lena Maier-Hein:
Understanding metric-related pitfalls in image analysis validation. CoRR abs/2302.01790 (2023) - [i57]Duc-Tien Dang-Nguyen, Sohail Ahmed Khan, Cise Midoglu, Michael Riegler, Pål Halvorsen, Minh-Son Dao:
Grand Challenge On Detecting Cheapfakes. CoRR abs/2304.01328 (2023) - [i56]Roman Machácek, Leila Mozaffari, Zahra Sepasdar, Sravanthi Parasa, Pål Halvorsen, Michael A. Riegler, Vajira Thambawita:
Mask-conditioned latent diffusion for generating gastrointestinal polyp images. CoRR abs/2304.05233 (2023) - [i55]Tu T. Do, Mai Anh Vu, Hoang Thien Ly, Thu Nguyen, Steven Alexander Hicks, Michael A. Riegler, Pål Halvorsen, Binh T. Nguyen:
Blockwise Principal Component Analysis for monotone missing data imputation and dimensionality reduction. CoRR abs/2305.06042 (2023) - [i54]Nhat-Hao Pham, Khanh-Linh Vo, Mai Anh Vu, Thu Nguyen, Michael A. Riegler, Pål Halvorsen, Binh T. Nguyen:
Correlation visualization under missing values: a comparison between imputation and direct parameter estimation methods. CoRR abs/2305.06044 (2023) - [i53]Debesh Jha, Vanshali Sharma, Neethi Dasu, Nikhil Kumar Tomar, Steven Hicks, Manas Kamal Bhuyan, Pradip K. Das, Michael A. Riegler, Pål Halvorsen, Thomas de Lange, Ulas Bagci:
GastroVision: A Multi-class Endoscopy Image Dataset for Computer Aided Gastrointestinal Disease Detection. CoRR abs/2307.08140 (2023) - [i52]Debesh Jha, Vanshali Sharma, Debapriya Banik, Debayan Bhattacharya, Kaushiki Roy, Steven Alexander Hicks, Nikhil Kumar Tomar, Vajira Thambawita, Adrian Krenzer, Ge-Peng Ji, Sahadev Poudel, George Batchkala, Saruar Alam, Awadelrahman M. A. Ahmed, Quoc-Huy Trinh, Zeshan Khan, Tien-Phat Nguyen, Shruti Shrestha, Sabari Nathan, Jeonghwan Gwak, Ritika Kumari Jha, Zheyuan Zhang, Alexander Schlaefer, Debotosh Bhattacharjee, Manas Kamal Bhuyan, Pradip K. Das, Sravanthi Parasa, Sharib Ali, Michael A. Riegler, Pål Halvorsen, Ulas Bagci, Thomas de Lange:
An objective validation of polyp and instrument segmentation methods in colonoscopy through Medico 2020 polyp segmentation and MedAI 2021 transparency challenges. CoRR abs/2307.16262 (2023) - [i51]Thu Nguyen, Pål Halvorsen, Michael A. Riegler:
Imputation using training labels and classification via label imputation. CoRR abs/2311.16877 (2023) - 2022
- [j35]Pegah Salehi, Syed Zohaib Hassan, Myrthe Lammerse, Saeed Shafiee Sabet, Ingvild Riiser, Ragnhild Klingenberg Røed, Miriam S. Johnson, Vajira Thambawita, Steven Alexander Hicks, Martine B. Powell, Michael E. Lamb, Gunn Astrid Baugerud, Pål Halvorsen, Michael A. Riegler:
Synthesizing a Talking Child Avatar to Train Interviewers Working with Maltreated Children. Big Data Cogn. Comput. 6(2): 62 (2022) - [j34]Joakim Aalstad Alslie, Aril Bernhard Ovesen, Tor-Arne Schmidt Nordmo, Håvard Dagenborg Johansen, Pål Halvorsen, Michael Alexander Riegler, Dag Johansen:
Áika: A Distributed Edge System for AI Inference. Big Data Cogn. Comput. 6(2): 68 (2022) - [j33]Rabindra Khadka, Debesh Jha, Steven Hicks, Vajira Thambawita, Michael A. Riegler, Sharib Ali, Pål Halvorsen:
Meta-learning with implicit gradients in a few-shot setting for medical image segmentation. Comput. Biol. Medicine 143: 105227 (2022) - [j32]Sidney Pontes-Filho, Kristoffer Olsen, Anis Yazidi, Michael A. Riegler, Pål Halvorsen, Stefano Nichele:
Towards the Neuroevolution of Low-level artificial general intelligence. Frontiers Robotics AI 9 (2022) - [j31]Siri S. Eide, Michael A. Riegler, Hugo Hammer, John Bjørnar Bremnes:
Deep Tower Networks for Efficient Temperature Forecasting from Multiple Data Sources. Sensors 22(7): 2802 (2022) - [j30]Syed Zohaib Hassan, Kashif Ahmad, Steven Hicks, Pål Halvorsen, Ala I. Al-Fuqaha, Nicola Conci, Michael Riegler:
Visual Sentiment Analysis from Disaster Images in Social Media. Sensors 22(10): 3628 (2022) - [j29]Abhishek Srivastava, Debesh Jha, Sukalpa Chanda, Umapada Pal, Håvard D. Johansen, Dag Johansen, Michael A. Riegler, Sharib Ali, Pål Halvorsen:
MSRF-Net: A Multi-Scale Residual Fusion Network for Biomedical Image Segmentation. IEEE J. Biomed. Health Informatics 26(5): 2252-2263 (2022) - [j28]Wallapak Tavanapong, Jung-Hwan Oh, Michael A. Riegler, Mohammed Khaleel, Bhuvan Mittal, Piet C. de Groen:
Artificial Intelligence for Colonoscopy: Past, Present, and Future. IEEE J. Biomed. Health Informatics 26(8): 3950-3965 (2022) - [c183]Syed Zohaib Hassan, Pegah Salehi, Michael Alexander Riegler, Miriam Sinkerud Johnson, Gunn Astrid Baugerud, Pål Halvorsen, Saeed Shafiee Sabet:
A Virtual Reality Talking Avatar for Investigative Interviews of Maltreat Children. CBMI 2022: 201-204 - [c182]Andrea M. Storås, Anders Åsberg, Pål Halvorsen, Michael A. Riegler, Inga Strümke:
Predicting Tacrolimus Exposure in Kidney Transplanted Patients Using Machine Learning. CBMS 2022: 38-43 - [c181]Felicia Ly Jacobsen, Steven Alexander Hicks, Pål Halvorsen, Michael A. Riegler:
Estimating Predictive Uncertainty in Gastrointestinal Polyp Segmentation. CBMS 2022: 44-49 - [c180]Jan Andre Fagereng, Vajira Thambawita, Andrea M. Storås, Sravanthi Parasa, Thomas de Lange, Pål Halvorsen, Michael A. Riegler:
PolypConnect: Image inpainting for generating realistic gastrointestinal tract images with polyps. CBMS 2022: 66-71 - [c179]Debesh Jha, Ashish Rauniyar, Håvard D. Johansen, Dag Johansen, Michael A. Riegler, Pål Halvorsen, Ulas Bagci:
Video Analytics in Elite Soccer: A Distributed Computing Perspective. SAM 2022: 221-225 - [c178]Thu Nguyen, Thanh Nhan Phan, Van Nhuong Nguyen, Thanh-Binh Nguyen, Pål Halvorsen, Michael A. Riegler:
Parallel feature selection based on the trace ratio criterion. IJCNN 2022: 1-8 - [c177]Birk Torpmann-Hagen, Vajira Thambawita, Michael A. Riegler, Pål Halvorsen, Kyrre Glette:
Segmentation Consistency Training: Out-of-Distribution Generalization for Medical Image Segmentation. ISM 2022: 42-49 - [c176]Tor-Arne S. Nordmo, Martine Mostervik Espeseth, Bjørn Aslak Juliussen, Michael A. Riegler, Dag Johansen:
Detection of Commercial Fishing-related Slipping Events using Multimodal Data. ISM 2022: 155-156 - [c175]Cise Midoglu, Andrea M. Storås, Saeed Shafiee Sabet, Malek Hammou, Steven Alexander Hicks, Inga Strümke, Michael Alexander Riegler, Carsten Griwodz, Pål Halvorsen:
Experiences and Lessons Learned from a Crowdsourced-Remote Hybrid User Survey Framework. ISM 2022: 161-162 - [c174]Syed Zohaib Hassan, Saeed Shafiee Sabet, Pegah Salehi, Hayley Ko, Ingvild Riiser, Miriam S. Johnson, Gunn Astrid Baugerud, Michael Alexander Riegler, Pål Halvorsen:
A Comparative Study of Interactive Environments for Investigative Interview of A Virtual Child Avatar. ISM 2022: 194-201 - [c173]Azza H. Ahmed, Michael A. Riegler, Steven Alexander Hicks, Ahmed Elmokashfi:
RCAD: Real-time Collaborative Anomaly Detection System for Mobile Broadband Networks. KDD 2022: 2682-2691 - [c172]Tor-Arne S. Nordmo, Aril B. Ovesen, Håvard D. Johansen, Dag Johansen, Michael Riegler:
NjordVid: A Fishing Trawler Video Analytics Task. MediaEval 2022 - [c171]Vajira Thambawita, Steven Hicks, Andrea M. Storås, Jorunn M. Andersen, Oliwia Witczak, Trine B. Haugen, Hugo Hammer, Thu Nguyen, Pål Halvorsen, Michael Riegler:
Medico Multimedia Task at MediaEval 2022: Transparent Tracking of Spermatozoa. MediaEval 2022 - [c170]Birk Torpmann-Hagen, Pål Halvorsen, Michael Riegler, Dag Johansen:
Addressing Generalization Failure in Deep Detection Models for Fishing Trawler Video Analytics. MediaEval 2022 - [c169]Ayan Chatterjee, Andreas Prinz, Michael Riegler:
Prediction Modeling in Activity eCoaching for Tailored Recommendation Generation: A Conceptualization. MeMeA 2022: 1-6 - [c168]Vajira Thambawita, Andrea M. Storås, Steven Alexander Hicks, Pål Halvorsen, Michael A. Riegler:
MLC at HECKTOR 2022: The Effect and Importance of Training Data When Analyzing Cases of Head and Neck Tumors Using Machine Learning. HECKTOR@MICCAI 2022: 166-177 - [c167]Pegah Salehi, Syed Zohaib Hassan, Saeed Shafiee Sabet, Gunn Astrid Baugerud, Miriam Sinkerud Johnson, Pål Halvorsen, Michael A. Riegler:
Is More Realistic Better? A Comparison of Game Engine and GAN-based Avatars for Investigative Interviews of Children. ICDAR@ICMR 2022: 41-49 - [c166]Minh-Son Dao, Michael Alexander Riegler, Duc-Tien Dang-Nguyen, Cathal Gurrin, Yuta Nakashima, Mianxiong Dong:
ICDAR'22: Intelligent Cross-Data Analysis and Retrieval. ICMR 2022: 690-691 - [c165]Andreas Husa, Cise Midoglu, Malek Hammou, Steven Alexander Hicks, Dag Johansen, Tomas Kupka, Michael A. Riegler, Pål Halvorsen:
Automatic thumbnail selection for soccer videos using machine learning. MMSys 2022: 73-85 - [c164]Tor-Arne Schmidt Nordmo, Aril Bernhard Ovesen, Bjørn Aslak Juliussen, Steven Alexander Hicks, Vajira Thambawita, Håvard Dagenborg Johansen, Pål Halvorsen, Michael Alexander Riegler, Dag Johansen:
Njord: a fishing trawler dataset. MMSys 2022: 197-202 - [c163]Malek Hammou, Cise Midoglu, Steven Alexander Hicks, Andrea M. Storås, Saeed Shafiee Sabet, Inga Strümke, Michael A. Riegler, Pål Halvorsen:
Huldra: a framework for collecting crowdsourced feedback on multimedia assets. MMSys 2022: 203-209 - [c162]Andreas Husa, Cise Midoglu, Malek Hammou, Pål Halvorsen, Michael A. Riegler:
HOST-ATS: automatic thumbnail selection with dashboard-controlled ML pipeline and dynamic user survey. MMSys 2022: 334-340 - [c161]Andrea M. Storås, Inga Strümke, Michael A. Riegler, Pål Halvorsen:
Explainability methods for machine learning systems for multimodal medical datasets: research proposal. MMSys 2022: 347-351 - [c160]Akriti Sharma, Mette H. Stensen, Erwan Delbarre, Momin Naushad Siddiqui, Trine B. Haugen, Michael A. Riegler, Hugo Lewi Hammer:
Detecting Human Embryo Cleavage Stages Using YOLO V5 Object Detection Algorithm. NAIS 2022: 81-93 - [c159]Andrea M. Storås, Michael A. Riegler, Trine B. Haugen, Vajira Thambawita, Steven Alexander Hicks, Hugo Lewi Hammer, Radhika Kakulavarapu, Pål Halvorsen, Mette H. Stensen:
Automatic Unsupervised Clustering of Videos of the Intracytoplasmic Sperm Injection (ICSI) Procedure. NAIS 2022: 111-121 - [c158]Myrthe Lammerse, Syed Zohaib Hassan, Saeed Shafiee Sabet, Michael Alexander Riegler, Pål Halvorsen:
Human vs. GPT-3: The challenges of extracting emotions from child responses. QoMEX 2022: 1-4 - [c157]Saeed Shafiee Sabet, Ragnhild Eg, Kjetil Raaen, Muhammad Oasim, Michael Riegler, Pål Halvorsen:
When Every Millisecond Counts: The Impact of Delay in VR Gaming. QoMEX 2022: 1-4 - [c156]Saeed Shafiee Sabet, Cise Midoglu, Syed Zohaib Hassan, Pegah Salehi, Gunn Astrid Baugerud, Carsten Griwodz, Miriam S. Johnson, Michael Alexander Riegler, Pål Halvorsen:
Comparison of Crowdsourced and Remote Subjective User Studies: A Case Study of Investigative Child Interviews. QoMEX 2022: 1-6 - [c155]Ayan Chatterjee, Nibedita Pahari, Michael Riegler, Andreas Prinz:
LSTM Step Prediction and Ontology-Based Recommendation Generation in Activity eCoaching. WiMob 2022: 13-18 - [e8]Minh-Son Dao, Duc-Tien Dang-Nguyen, Michael Riegler:
ICDAR@ICMR 2022: Proceedings of the 3rd ACM Workshop on Intelligent Cross-Data Analysis and Retrieval, Newark, NJ, USA, June 27 - 30, 2022. ACM 2022, ISBN 978-1-4503-9241-9 [contents] - [i50]Sharib Ali, Noha M. Ghatwary, Debesh Jha, Ece Isik-Polat, Gorkem Polat, Chen Yang, Wuyang Li, Adrian Galdran, Miguel Ángel González Ballester, Vajira Thambawita, Steven Hicks, Sahadev Poudel, Sang-Woong Lee, Ziyi Jin, Tianyuan Gan, ChengHui Yu, Jiangpeng Yan, Doyeob Yeo, Hyunseok Lee, Nikhil Kumar Tomar, Mahmood Haithami, Amr Ahmed, Michael A. Riegler, Christian Daul, Pål Halvorsen, Jens Rittscher, Osama E. Salem, Dominique Lamarque, Renato Cannizzaro, Stefano Realdon, Thomas de Lange, James E. East:
Assessing generalisability of deep learning-based polyp detection and segmentation methods through a computer vision challenge. CoRR abs/2202.12031 (2022) - [i49]Thu Nguyen, Thanh Nhan Phan, Van Nhuong Nguyen, Thanh-Binh Nguyen, Pål Halvorsen, Michael Riegler:
Parallel feature selection based on the trace ratio criterion. CoRR abs/2203.01635 (2022) - [i48]Steven Hicks, Andrea M. Storås, Michael Riegler, Cise Midoglu, Malek Hammou, Thomas de Lange, Sravanthi Parasa, Pål Halvorsen, Inga Strümke:
Visual explanations for polyp detection: How medical doctors assess intrinsic versus extrinsic explanations. CoRR abs/2204.00617 (2022) - [i47]Andrea M. Storås, Anders Åsberg, Pål Halvorsen, Michael A. Riegler, Inga Strümke:
Predicting tacrolimus exposure in kidney transplanted patients using machine learning. CoRR abs/2205.07858 (2022) - [i46]Thu Nguyen, Hoang Thien Ly, Michael Alexander Riegler, Pål Halvorsen:
Principle Components Analysis based frameworks for efficient missing data imputation algorithms. CoRR abs/2205.15150 (2022) - [i45]Vladimir Monakhov, Vajira Thambawita, Pål Halvorsen, Michael A. Riegler:
Grid HTM: Hierarchical Temporal Memory for Anomaly Detection in Videos. CoRR abs/2205.15407 (2022) - [i44]Jan Andre Fagereng, Vajira Thambawita, Andrea M. Storås, Sravanthi Parasa, Thomas de Lange, Pål Halvorsen, Michael A. Riegler:
PolypConnect: Image inpainting for generating realistic gastrointestinal tract images with polyps. CoRR abs/2205.15413 (2022) - [i43]Birk Torpmann-Hagen, Vajira Thambawita, Kyrre Glette, Pål Halvorsen, Michael A. Riegler:
Segmentation Consistency Training: Out-of-Distribution Generalization for Medical Image Segmentation. CoRR abs/2205.15428 (2022) - [i42]Lena Maier-Hein, Annika Reinke, Evangelia Christodoulou, Ben Glocker, Patrick Godau, Fabian Isensee, Jens Kleesiek, Michal Kozubek, Mauricio Reyes, Michael A. Riegler, Manuel Wiesenfarth, Michael Baumgartner, Matthias Eisenmann, Doreen Heckmann-Nötzel, A. Emre Kavur, Tim Rädsch, Minu Dietlinde Tizabi, Laura Ación, Michela Antonelli, Tal Arbel, Spyridon Bakas, Peter Bankhead, Arriel Benis, M. Jorge Cardoso, Veronika Cheplygina, Beth A. Cimini, Gary S. Collins, Keyvan Farahani, Bram van Ginneken, Daniel A. Hashimoto, Michael M. Hoffman, Merel Huisman, Pierre Jannin, Charles E. Kahn, Alexandros Karargyris, Alan Karthikesalingam, Hannes Kenngott, Annette Kopp-Schneider, Anna Kreshuk, Tahsin M. Kurç, Bennett A. Landman, Geert Litjens, Amin Madani, Klaus H. Maier-Hein, Anne L. Martel, Peter Mattson, Erik Meijering, Bjoern H. Menze, David Moher, Karel G. M. Moons, Henning Müller, Felix Nickel, Brennan Nichyporuk, Jens Petersen, Nasir M. Rajpoot, Nicola Rieke, Julio Saez-Rodriguez, Clarisa Sánchez Gutiérrez, Shravya Shetty, Maarten van Smeden, Carole H. Sudre, Ronald M. Summers, Abdel A. Taha, Sotirios A. Tsaftaris, Ben Van Calster, Gaël Varoquaux, Paul F. Jäger:
Metrics reloaded: Pitfalls and recommendations for image analysis validation. CoRR abs/2206.01653 (2022) - [i41]Debesh Jha, Ashish Rauniyar, Håvard D. Johansen, Dag Johansen, Michael A. Riegler, Pål Halvorsen, Ulas Bagci:
Video Analytics in Elite Soccer: A Distributed Computing Perspective. CoRR abs/2206.11335 (2022) - [i40]Sidney Pontes-Filho, Kristoffer Olsen, Anis Yazidi, Michael A. Riegler, Pål Halvorsen, Stefano Nichele:
Towards the Neuroevolution of Low-level Artificial General Intelligence. CoRR abs/2207.13583 (2022) - [i39]Shivangi Aneja, Cise Midoglu, Duc-Tien Dang-Nguyen, Sohail Ahmed Khan, Michael Riegler, Pål Halvorsen, Chris Bregler, Balu Adsumilli:
ACM Multimedia Grand Challenge on Detecting Cheapfakes. CoRR abs/2207.14534 (2022) - [i38]Thu Nguyen, Rabindra Khadka, Nhan Phan, Anis Yazidi, Pål Halvorsen, Michael A. Riegler:
Combining datasets to increase the number of samples and improve model fitting. CoRR abs/2210.05165 (2022) - [i37]Vajira Thambawita, Andrea M. Storås, Steven Alexander Hicks, Pål Halvorsen, Michael A. Riegler:
MLC at HECKTOR 2022: The Effect and Importance of Training Data when Analyzing Cases of Head and Neck Tumors using Machine Learning. CoRR abs/2211.16834 (2022) - [i36]Vajira Thambawita, Steven Alexander Hicks, Andrea M. Storås, Thu Nguyen, Jorunn M. Andersen, Oliwia Witczak, Trine B. Haugen, Hugo Lewi Hammer, Pål Halvorsen, Michael A. Riegler:
VISEM-Tracking: Human Spermatozoa Tracking Dataset. CoRR abs/2212.02842 (2022) - 2021
- [j27]Debesh Jha, Sharib Ali, Nikhil Kumar Tomar, Håvard D. Johansen, Dag Johansen, Jens Rittscher, Michael A. Riegler, Pål Halvorsen:
Real-Time Polyp Detection, Localization and Segmentation in Colonoscopy Using Deep Learning. IEEE Access 9: 40496-40510 (2021) - [j26]Azza H. Ahmed, Steven Hicks, Michael Alexander Riegler, Ahmed Elmokashfi:
Predicting High Delays in Mobile Broadband Networks. IEEE Access 9: 168999-169013 (2021) - [j25]Anastasiia Kolevatova, Michael A. Riegler, Francesco Cherubini, Xiangping Hu, Hugo Lewi Hammer:
Unraveling the Impact of Land Cover Changes on Climate Using Machine Learning and Explainable Artificial Intelligence. Big Data Cogn. Comput. 5(4): 55 (2021) - [j24]Hanna Svennevik, Michael A. Riegler, Steven Hicks, Trude Storelvmo, Hugo Lewi Hammer:
Prediction of Cloud Fractional Cover Using Machine Learning. Big Data Cogn. Comput. 5(4): 62 (2021) - [j23]Cise Midoglu, Konstantinos Kousias, Özgü Alay, Andra Lutu, Antonios Argyriou, Michael Riegler, Carsten Griwodz:
Large scale "speedtest" experimentation in Mobile Broadband Networks. Comput. Networks 184: 107629 (2021) - [j22]Olav A. Norgård Rongved, Steven Alexander Hicks, Vajira Thambawita, Håkon Kvale Stensland, Evi Zouganeli, Dag Johansen, Cise Midoglu, Michael A. Riegler, Pål Halvorsen:
Using 3D Convolutional Neural Networks for Real-time Detection of Soccer Events. Int. J. Semantic Comput. 15(2): 161-187 (2021) - [j21]Aril Bernhard Ovesen, Tor-Arne Schmidt Nordmo, Håvard Dagenborg Johansen, Michael Alexander Riegler, Pål Halvorsen, Dag Johansen:
File System Support for Privacy-Preserving Analysis and Forensics in Low-Bandwidth Edge Environments. Inf. 12(10): 430 (2021) - [j20]Joakim Olav Valand, Haris Kadragic, Steven Alexander Hicks, Vajira Lasantha Thambawita, Cise Midoglu, Tomas Kupka, Dag Johansen, Michael Alexander Riegler, Pål Halvorsen:
AI-Based Video Clipping of Soccer Events. Mach. Learn. Knowl. Extr. 3(4): 990-1008 (2021) - [j19]Olav A. Norgård Rongved, Markus Stige, Steven Alexander Hicks, Vajira Lasantha Thambawita, Cise Midoglu, Evi Zouganeli, Dag Johansen, Michael Alexander Riegler, Pål Halvorsen:
Automated Event Detection and Classification in Soccer: The Potential of Using Multiple Modalities. Mach. Learn. Knowl. Extr. 3(4): 1030-1054 (2021) - [j18]Tobias Roß, Annika Reinke, Peter M. Full, Martin Wagner, Hannes Kenngott, Martin Apitz, Hellena Hempe, Diana Mîndroc-Filimon, Patrick Scholz, Thuy Nuong Tran, Pierangela Bruno, Pablo Arbeláez, Gui-Bin Bian, Sebastian Bodenstedt, Jon Lindström Bolmgren, Laura Bravo Sánchez, Hua-Bin Chen, Cristina González, Dong Guo, Pål Halvorsen, Pheng-Ann Heng, Enes Hosgor, Zeng-Guang Hou, Fabian Isensee, Debesh Jha, Tingting Jiang, Yueming Jin, Kadir Kirtaç, Sabrina Kletz, Stefan Leger, Zhixuan Li, Klaus H. Maier-Hein, Zhen-Liang Ni, Michael A. Riegler, Klaus Schoeffmann, Ruohua Shi, Stefanie Speidel, Michael Stenzel, Isabell Twick, Guotai Wang, Jiacheng Wang, Liansheng Wang, Lu Wang, Yujie Zhang, Yan-Jie Zhou, Lei Zhu, Manuel Wiesenfarth, Annette Kopp-Schneider, Beat P. Müller-Stich, Lena Maier-Hein:
Comparative validation of multi-instance instrument segmentation in endoscopy: Results of the ROBUST-MIS 2019 challenge. Medical Image Anal. 70: 101920 (2021) - [j17]Debesh Jha, Sharib Ali, Steven Alexander Hicks, Vajira Thambawita, Hanna Borgli, Pia H. Smedsrud, Thomas de Lange, Konstantin Pogorelov, Xiaowei Wang, Philipp Harzig, Minh-Triet Tran, Wenhua Meng, Trung-Hieu Hoang, Danielle Dias, Tobey H. Ko, Taruna Agrawal, Olga Ostroukhova, Zeshan Khan, Muhammad Atif Tahir, Yang Liu, Yuan Chang, Mathias Kirkerød, Dag Johansen, Mathias Lux, Håvard D. Johansen, Michael A. Riegler, Pål Halvorsen:
A comprehensive analysis of classification methods in gastrointestinal endoscopy imaging. Medical Image Anal. 70: 102007 (2021) - [j16]Debesh Jha, Pia H. Smedsrud, Dag Johansen, Thomas de Lange, Håvard D. Johansen, Pål Halvorsen, Michael A. Riegler:
A Comprehensive Study on Colorectal Polyp Segmentation With ResUNet++, Conditional Random Field and Test-Time Augmentation. IEEE J. Biomed. Health Informatics 25(6): 2029-2040 (2021) - [c154]Debesh Jha, Sharib Ali, Nikhil Kumar Tomar, Michael A. Riegler, Dag Johansen, Håvard D. Johansen, Pål Halvorsen:
Exploring Deep Learning Methods for Real-Time Surgical Instrument Segmentation in Laparoscopy. BHI 2021: 1-4 - [c153]Debesh Jha, Nikhil Kumar Tomar, Sharib Ali, Michael A. Riegler, Håvard D. Johansen, Dag Johansen, Thomas de Lange, Pål Halvorsen:
NanoNet: Real-Time Polyp Segmentation in Video Capsule Endoscopy and Colonoscopy. CBMS 2021: 37-43 - [c152]Matthias Boeker, Michael A. Riegler, Hugo Lewi Hammer, Pål Halvorsen, Ole Bernt Fasmer, Petter Jakobsen:
Diagnosing Schizophrenia from Activity Records using Hidden Markov Model Parameters. CBMS 2021: 432-437 - [c151]Henrik L. Gjestang, Steven Alexander Hicks, Vajira Thambawita, Pål Halvorsen, Michael A. Riegler:
A self-learning teacher-student framework for gastrointestinal image classification. CBMS 2021: 539-544 - [c150]Vajira Thambawita, Steven Alexander Hicks, Pål Halvorsen, Michael A. Riegler:
DivergentNets:Medical Image Segmentation by Network Ensemble. EndoCV@ISBI 2021: 27-38 - [c149]Joakim O. Valand, Haris Kadragic, Steven Hicks, Vajira Thambawita, Cise Midoglu, Tomas Kupka, Dag Johansen, Michael A. Riegler, Pål Halvorsen:
Automated Clipping of Soccer Events using Machine Learning. ISM 2021: 210-214 - [c148]Syed Zohaib Hassan, Kashif Ahmad, Michael Riegler, Steven Hicks, Nicola Conci, Pål Halvorsen, Ala I. Al-Fuqaha:
Visual Sentiment Analysis: A Natural Disaster Use-case Task at MediaEval 2021. MediaEval 2021 - [c147]Steven Hicks, Debesh Jha, Vajira Thambawita, Hugo Hammer, Thomas de Lange, Sravanthi Parasa, Michael Riegler, Pål Halvorsen:
Medico Multimedia Task at MediaEval 2021: Transparency in Medical Image Segmentation. MediaEval 2021 - [c146]Mathias Lux, Michael Riegler, Steven Hicks, Duc-Tien Dang-Nguyen, Kristine Jørgensen, Vajira Thambawita, Pål Halvorsen:
Emotional Mario Task at MediaEval 2021. MediaEval 2021 - [c145]Gunn Astrid Baugerud, Miriam S. Johnson, Ragnhild Klingenberg Røed, Michael E. Lamb, Martine B. Powell, Vajira Thambawita, Steven Alexander Hicks, Pegah Salehi, Syed Zohaib Hassan, Pål Halvorsen, Michael A. Riegler:
Multimodal Virtual Avatars for Investigative Interviews with Children. ICDAR@ICMR 2021: 2-8 - [c144]Siri S. Eide, Michael A. Riegler, Hugo Lewi Hammer, John Bjørnar Bremnes:
Temperature Forecasting using Tower Networks. ICDAR@ICMR 2021: 18-23 - [c143]Espen Naess, Vajira Thambawita, Steven Alexander Hicks, Michael A. Riegler, Pål Halvorsen:
Pyramidal Segmentation of Medical Images using Adversarial Training. ICDAR@ICMR 2021: 33-38 - [c142]Tor-Arne S. Nordmo, Aril B. Ovesen, Håvard D. Johansen, Michael A. Riegler, Pål Halvorsen, Dag Johansen:
Dutkat: A Multimedia System for Catching Illegal Catchers in a Privacy-Preserving Manner. ICDAR@ICMR 2021: 57-61 - [c141]Minh-Son Dao, Michael Alexander Riegler, Duc-Tien Dang-Nguyen, Cathal Gurrin, Minh-Triet Tran, Thanh-Binh Nguyen:
ICDAR'21: Intelligent Cross-Data Analysis and Retrieval. ICMR 2021: 688-689 - [c140]Enrique Garcia-Ceja, Vajira Thambawita, Steven Alexander Hicks, Debesh Jha, Petter Jakobsen, Hugo Lewi Hammer, Pål Halvorsen, Michael A. Riegler:
HTAD: A Home-Tasks Activities Dataset with Wrist-Accelerometer and Audio Features. MMM (2) 2021: 196-205 - [c139]Debesh Jha, Sharib Ali, Krister Emanuelsen, Steven Alexander Hicks, Vajira Thambawita, Enrique Garcia-Ceja, Michael A. Riegler, Thomas de Lange, Peter Thelin Schmidt, Håvard D. Johansen, Dag Johansen, Pål Halvorsen:
Kvasir-Instrument: Diagnostic and Therapeutic Tool Segmentation Dataset in Gastrointestinal Endoscopy. MMM (2) 2021: 218-229 - [e7]Minh-Son Dao, Duc-Tien Dang-Nguyen, Michael Riegler:
ICDAR@ICMR 2021: Proceedings of the 2021 Workshop on Intelligent Cross-Data Analysis and Retrieval, Taipei, Taiwan, 21 August 2021. ACM 2021, ISBN 978-1-4503-8529-9 [contents] - [i35]Debesh Jha, Anis Yazidi, Michael A. Riegler, Dag Johansen, Håvard D. Johansen, Pål Halvorsen:
LightLayers: Parameter Efficient Dense and Convolutional Layers for Image Classification. CoRR abs/2101.02268 (2021) - [i34]Nikhil Kumar Tomar, Debesh Jha, Michael A. Riegler, Håvard D. Johansen, Dag Johansen, Jens Rittscher, Pål Halvorsen, Sharib Ali:
FANet: A Feedback Attention Network for Improved Biomedical Image Segmentation. CoRR abs/2103.17235 (2021) - [i33]Debesh Jha, Nikhil Kumar Tomar, Sharib Ali, Michael A. Riegler, Håvard D. Johansen, Dag Johansen, Thomas de Lange, Pål Halvorsen:
NanoNet: Real-Time Polyp Segmentation in Video Capsule Endoscopy and Colonoscopy. CoRR abs/2104.11138 (2021) - [i32]Abhishek Srivastava, Debesh Jha, Sukalpa Chanda, Umapada Pal, Håvard D. Johansen, Dag Johansen, Michael A. Riegler, Sharib Ali, Pål Halvorsen:
MSRF-Net: A Multi-Scale Residual Fusion Network for Biomedical Image Segmentation. CoRR abs/2105.07451 (2021) - [i31]Rabindra Khadga, Debesh Jha, Sharib Ali, Steven Alexander Hicks, Vajira Thambawita, Michael A. Riegler, Pål Halvorsen:
Few-shot segmentation of medical images based on meta-learning with implicit gradients. CoRR abs/2106.03223 (2021) - [i30]Sharib Ali, Debesh Jha, Noha M. Ghatwary, Stefano Realdon, Renato Cannizzaro, Osama E. Salem, Dominique Lamarque, Christian Daul, Kim V. Anonsen, Michael A. Riegler, Pål Halvorsen, Jens Rittscher, Thomas de Lange, James E. East:
PolypGen: A multi-center polyp detection and segmentation dataset for generalisability assessment. CoRR abs/2106.04463 (2021) - [i29]Vajira Thambawita, Steven Alexander Hicks, Pål Halvorsen, Michael A. Riegler:
DivergentNets: Medical Image Segmentation by Network Ensemble. CoRR abs/2107.00283 (2021) - [i28]Vajira Thambawita, Pegah Salehi, Sajad Amouei Sheshkal, Steven Alexander Hicks, Hugo Lewi Hammer, Sravanthi Parasa, Thomas de Lange, Pål Halvorsen, Michael A. Riegler:
SinGAN-Seg: Synthetic Training Data Generation for Medical Image Segmentation. CoRR abs/2107.00471 (2021) - [i27]Debesh Jha, Sharib Ali, Michael A. Riegler, Dag Johansen, Håvard D. Johansen, Pål Halvorsen:
Exploring Deep Learning Methods for Real-Time Surgical Instrument Segmentation in Laparoscopy. CoRR abs/2107.02319 (2021) - [i26]Shivangi Aneja, Cise Midoglu, Duc-Tien Dang-Nguyen, Michael Alexander Riegler, Pål Halvorsen, Matthias Nießner, Balu Adsumilli, Chris Bregler:
MMSys'21 Grand Challenge on Detecting Cheapfakes. CoRR abs/2107.05297 (2021) - [i25]Debesh Jha, Pia H. Smedsrud, Dag Johansen, Thomas de Lange, Håvard D. Johansen, Pål Halvorsen, Michael A. Riegler:
A Comprehensive Study on Colorectal Polyp Segmentation with ResUNet++, Conditional Random Field and Test-Time Augmentation. CoRR abs/2107.12435 (2021) - [i24]Andrea M. Storås, Inga Strümke, Michael A. Riegler, Jakob Grauslund, Hugo Lewi Hammer, Anis Yazidi, Pål Halvorsen, Kjell G. Gundersen, Tor Paaske Utheim, Catherine Jackson:
Artificial Intelligence in Dry Eye Disease. CoRR abs/2109.01658 (2021) - [i23]Imanol Luengo, Maria Grammatikopoulou, Rahim Mohammadi, Chris Walsh, Chinedu Innocent Nwoye, Deepak Alapatt, Nicolas Padoy, Zhen-Liang Ni, Chen-Chen Fan, Gui-Bin Bian, Zeng-Guang Hou, Heonjin Ha, Jiacheng Wang, Haojie Wang, Dong Guo, Lu Wang, Guotai Wang, Mobarakol Islam, Bharat Giddwani, Hongliang Ren, Theodoros Pissas, Claudio S. Ravasio, Martin Huber, Jeremy Birch, Joan M. Nunez Do Rio, Lyndon Da Cruz, Christos Bergeles, Hongyu Chen, Fucang Jia, Nikhil Kumar Tomar, Debesh Jha, Michael A. Riegler, Pål Halvorsen, Sophia Bano, Uddhav Vaghela, Jianyuan Hong, Haili Ye, Feihong Huang, Da-Han Wang, Danail Stoyanov:
2020 CATARACTS Semantic Segmentation Challenge. CoRR abs/2110.10965 (2021) - [i22]Abhishek Srivastava, Sukalpa Chanda, Debesh Jha, Michael A. Riegler, Pål Halvorsen, Dag Johansen, Umapada Pal:
PAANet: Progressive Alternating Attention for Automatic Medical Image Segmentation. CoRR abs/2111.10618 (2021) - [i21]Syed Zohaib Hassan, Kashif Ahmad, Michael A. Riegler, Steven Hicks, Nicola Conci, Pål Halvorsen, Ala I. Al-Fuqaha:
Visual Sentiment Analysis: A Natural DisasterUse-case Task at MediaEval 2021. CoRR abs/2111.11471 (2021) - 2020
- [j15]Jonas Markussen, Lars Bjørlykke Kristiansen, Rune Johan Borgli, Håkon Kvale Stensland, Friedrich Seifert, Michael Riegler, Carsten Griwodz, Pål Halvorsen:
Flexible device compositions and dynamic resource sharing in PCIe interconnected clusters using Device Lending. Clust. Comput. 23(2): 1211-1234 (2020) - [j14]Vajira Thambawita, Debesh Jha, Hugo Lewi Hammer, Håvard D. Johansen, Dag Johansen, Pål Halvorsen, Michael A. Riegler:
An Extensive Study on Cross-Dataset Bias and Evaluation Metrics Interpretation for Machine Learning Applied to Gastrointestinal Tract Abnormality Classification. ACM Trans. Comput. Heal. 1(3): 17:1-17:29 (2020) - [j13]Enrique Garcia-Ceja, Brice Morin, Anton Aguilar-Rivera, Michael Alexander Riegler:
A Genetic Attack Against Machine Learning Classifiers to Steal Biometric Actigraphy Profiles from Health Related Sensor Data. J. Medical Syst. 44(10): 187 (2020) - [j12]Farzan Majeed Noori, Michael Riegler, Md. Zia Uddin, Jim Tørresen:
Human Activity Recognition from Multiple Sensors Data Using Multi-fusion Representations and CNNs. ACM Trans. Multim. Comput. Commun. Appl. 16(2): 45:1-45:19 (2020) - [j11]Enrique Garcia-Ceja, Michael Riegler, Anders K. Kvernberg, Jim Tørresen:
User-adaptive models for activity and emotion recognition using deep transfer learning and data augmentation. User Model. User Adapt. Interact. 30(3): 365-393 (2020) - [c138]Petter Jakobsen, Enrique Garcia-Ceja, Lena Antonsen Stabell, Ketil J. Oedegaard, Jan Oystein Berle, Vajira Thambawita, Steven Alexander Hicks, Pål Halvorsen, Ole Bernt Fasmer, Michael Alexander Riegler:
PSYKOSE: A Motor Activity Database of Patients with Schizophrenia. CBMS 2020: 303-308 - [c137]Debesh Jha, Michael A. Riegler, Dag Johansen, Pål Halvorsen, Håvard D. Johansen:
DoubleU-Net: A Deep Convolutional Neural Network for Medical Image Segmentation. CBMS 2020: 558-564 - [c136]Bogdan Ionescu, Henning Müller, Renaud Péteri, Asma Ben Abacha, Vivek V. Datla, Sadid A. Hasan, Dina Demner-Fushman, Serge Kozlovski, Vitali Liauchuk, Yashin Dicente Cid, Vassili Kovalev, Obioma Pelka, Christoph M. Friedrich, Alba García Seco de Herrera, Van-Tu Ninh, Tu-Khiem Le, Liting Zhou, Luca Piras, Michael Riegler, Pål Halvorsen, Minh-Triet Tran, Mathias Lux, Cathal Gurrin, Duc-Tien Dang-Nguyen, Jon Chamberlain, Adrian F. Clark, Antonio Campello, Dimitri Fichou, Raul Berari, Paul Brie, Mihai Dogariu, Liviu-Daniel Stefan, Mihai Gabriel Constantin:
Overview of the ImageCLEF 2020: Multimedia Retrieval in Medical, Lifelogging, Nature, and Internet Applications. CLEF 2020: 311-341 - [c135]Tu-Khiem Le, Van-Tu Ninh, Liting Zhou, Minh-Huy Nguyen-Ngoc, Huu-Duc Trinh, Nguyen-Hien Tran, Luca Piras, Michael Riegler, Pål Halvorsen, Mathias Lux, Minh-Triet Tran, Graham Healy, Cathal Gurrin, Duc-Tien Dang-Nguyen:
Organiser Team at ImageCLEFlifelog 2020: A Baseline Approach for Moment Retrieval and Athlete Performance Prediction using Lifelog Data. CLEF (Working Notes) 2020 - [c134]Van-Tu Ninh, Tu-Khiem Le, Liting Zhou, Luca Piras, Michael Riegler, Pål Halvorsen, Mathias Lux, Minh-Triet Tran, Cathal Gurrin, Duc-Tien Dang-Nguyen:
Overview of ImageCLEF Lifelog 2020: Lifelog Moment Retrieval and Sport Performance Lifelog. CLEF (Working Notes) 2020 - [c133]Bogdan Ionescu, Henning Müller, Renaud Péteri, Duc-Tien Dang-Nguyen, Liting Zhou, Luca Piras, Michael Riegler, Pål Halvorsen, Minh-Triet Tran, Mathias Lux, Cathal Gurrin, Jon Chamberlain, Adrian F. Clark, Antonio Campello, Alba Garcia Seco de Herrera, Asma Ben Abacha, Vivek V. Datla, Sadid A. Hasan, Joey Liu, Dina Demner-Fushman, Obioma Pelka, Christoph M. Friedrich, Yashin Dicente Cid, Serge Kozlovski, Vitali Liauchuk, Vassili Kovalev, Raul Berari, Paul Brie, Dimitri Fichou, Mihai Dogariu, Liviu-Daniel Stefan, Mihai Gabriel Constantin:
ImageCLEF 2020: Multimedia Retrieval in Lifelogging, Medical, Nature, and Internet Applications. ECIR (2) 2020: 533-541 - [c132]Håvard D. Johansen, Dag Johansen, Tomas Kupka, Michael A. Riegler, Pål Halvorsen:
Scalable Infrastructure for Efficient Real-Time Sports Analytics. ICMI Companion 2020: 230-234 - [c131]Steven Alexander Hicks, Debesh Jha, Vajira Thambawita, Pål Halvorsen, Hugo Lewi Hammer, Michael A. Riegler:
The EndoTect 2020 Challenge: Evaluation and Comparison of Classification, Segmentation and Inference Time for Endoscopy. ICPR Workshops (8) 2020: 263-274 - [c130]Nikhil Kumar Tomar, Debesh Jha, Sharib Ali, Håvard D. Johansen, Dag Johansen, Michael A. Riegler, Pål Halvorsen:
DDANet: Dual Decoder Attention Network for Automatic Polyp Segmentation. ICPR Workshops (8) 2020: 307-314 - [c129]Oda Olsen Nedrejord, Vajira Thambawita, Steven Alexander Hicks, Pål Halvorsen, Michael A. Riegler:
Vid2Pix - A Framework for Generating High-Quality Synthetic Videos. ISM 2020: 25-26 - [c128]Olav A. Norgård Rongved, Steven Alexander Hicks, Vajira Thambawita, Håkon Kvale Stensland, Evi Zouganeli, Dag Johansen, Michael A. Riegler, Pål Halvorsen:
Real-Time Detection of Events in Soccer Videos using 3D Convolutional Neural Networks. ISM 2020: 135-144 - [c127]Debesh Jha, Steven Hicks, Krister Emanuelsen, Håvard D. Johansen, Dag Johansen, Thomas de Lange, Michael A. Riegler, Pål Halvorsen:
Medico Multimedia Task at MediaEval 2020: Automatic Polyp Segmentation. MediaEval 2020 - [c126]Vajira Thambawita, Steven Hicks, Pål Halvorsen, Michael A. Riegler:
Pyramid-Focus-Augmentation: Medical Image Segmentation with Step-Wise Focus. MediaEval 2020 - [c125]Fan Yu, Dandan Wang, Haonan Wang, Tongwei Ren, Jinhui Tang, Gangshan Wu, Jingjing Chen, Michael Riegler:
Reproducibility Companion Paper: Instance of Interest Detection. ACM Multimedia 2020: 4435-4438 - [c124]Tuan Hoang, Thanh-Toan Do, Ngai-Man Cheung, Michael Riegler, Jan Zahálka:
Reproducibility Companion Paper: Selective Deep Convolutional Features for Image Retrieval. ACM Multimedia 2020: 4448-4452 - [c123]Steven Alexander Hicks, Vajira Thambawita, Hugo Lewi Hammer, Trine B. Haugen, Jorunn M. Andersen, Oliwia Witczak, Pål Halvorsen, Michael A. Riegler:
ACM Multimedia BioMedia 2020 Grand Challenge Overview. ACM Multimedia 2020: 4655-4658 - [c122]Debesh Jha, Pia H. Smedsrud, Michael A. Riegler, Pål Halvorsen, Thomas de Lange, Dag Johansen, Håvard D. Johansen:
Kvasir-SEG: A Segmented Polyp Dataset. MMM (2) 2020: 451-462 - [c121]Cheng-Hao Wu, Chih-Fan Hsu, Ting-Chun Kuo, Carsten Griwodz, Michael Riegler, Géraldine Morin, Cheng-Hsin Hsu:
PCC arena: a benchmark platform for point cloud compression algorithms. MMVE@MMSys 2020: 1-6 - [c120]Vajira Thambawita, Steven Alexander Hicks, Hanna Borgli, Håkon Kvale Stensland, Debesh Jha, Martin Kristoffer Svensen, Svein Arne Pettersen, Dag Johansen, Håvard Dagenborg Johansen, Susann Dahl Pettersen, Simon Nordvang, Sigurd Pedersen, Anders T. Gjerdrum, Tor-Morten Grønli, Per Morten Fredriksen, Ragnhild Eg, Kjeld Hansen, Siri Fagernes, Christine Claudi, Andreas Biørn-Hansen, Duc-Tien Dang-Nguyen, Tomas Kupka, Hugo Lewi Hammer, Ramesh C. Jain, Michael Alexander Riegler, Pål Halvorsen:
PMData: a sports logging dataset. MMSys 2020: 231-236 - [c119]Henrik Svoren, Vajira Thambawita, Pål Halvorsen, Petter Jakobsen, Enrique Garcia-Ceja, Farzan Majeed Noori, Hugo Lewi Hammer, Mathias Lux, Michael Alexander Riegler, Steven Alexander Hicks:
Toadstool: a dataset for training emotional intelligent machines playing Super Mario Bros. MMSys 2020: 309-314 - [c118]Debesh Jha, Anis Yazidi, Michael A. Riegler, Dag Johansen, Håvard D. Johansen, Pål Halvorsen:
LightLayers: Parameter Efficient Dense and Convolutional Layers for Image Classification. PDCAT 2020: 285-296 - [i20]Tobias Roß, Annika Reinke, Peter M. Full, Martin Wagner, Hannes Kenngott, Martin Apitz, Hellena Hempe, Diana Mîndroc-Filimon, Patrick Scholz, Thuy Nuong Tran, Pierangela Bruno, Pablo Arbeláez, Gui-Bin Bian, Sebastian Bodenstedt, Jon Lindström Bolmgren, Laura Bravo Sánchez, Hua-Bin Chen, Cristina González, Dong Guo, Pål Halvorsen, Pheng-Ann Heng, Enes Hosgor, Zeng-Guang Hou, Fabian Isensee, Debesh Jha, Tingting Jiang, Yueming Jin, Kadir Kirtaç, Sabrina Kletz, Stefan Leger, Zhixuan Li, Klaus H. Maier-Hein, Zhen-Liang Ni, Michael A. Riegler, Klaus Schoeffmann, Ruohua Shi, Stefanie Speidel, Michael Stenzel, Isabell Twick, Guotai Wang, Jiacheng Wang, Liansheng Wang, Lu Wang, Yujie Zhang, Yan-Jie Zhou, Lei Zhu, Manuel Wiesenfarth, Annette Kopp-Schneider, Beat Peter Müller-Stich, Lena Maier-Hein:
Robust Medical Instrument Segmentation Challenge 2019. CoRR abs/2003.10299 (2020) - [i19]Vajira Thambawita, Debesh Jha, Hugo Lewi Hammer, Håvard D. Johansen, Dag Johansen, Pål Halvorsen, Michael A. Riegler:
An Extensive Study on Cross-Dataset Bias and Evaluation Metrics Interpretation for Machine Learning applied to Gastrointestinal Tract Abnormality Classification. CoRR abs/2005.03912 (2020) - [i18]Debesh Jha, Michael A. Riegler, Dag Johansen, Pål Halvorsen, Håvard D. Johansen:
DoubleU-Net: A Deep Convolutional Neural Network for Medical Image Segmentation. CoRR abs/2006.04868 (2020) - [i17]Syed Zohaib Hassan, Kashif Ahmad, Steven Alexander Hicks, Pål Halvorsen, Ala I. Al-Fuqaha, Nicola Conci, Michael Riegler:
Visual Sentiment Analysis from Disaster Images in Social Media. CoRR abs/2009.03051 (2020) - [i16]Debesh Jha, Sharib Ali, Håvard D. Johansen, Dag Johansen, Jens Rittscher, Michael A. Riegler, Pål Halvorsen:
Real-Time Polyp Detection, Localisation and Segmentation in Colonoscopy Using Deep Learning. CoRR abs/2011.07631 (2020) - [i15]Debesh Jha, Sharib Ali, Krister Emanuelsen, Steven Alexander Hicks, Vajira Thambawita, Enrique Garcia-Ceja, Michael A. Riegler, Thomas de Lange, Peter Thelin Schmidt, Håvard D. Johansen, Dag Johansen, Pål Halvorsen:
Kvasir-Instrument: Diagnostic and therapeutic tool segmentation dataset in gastrointestinal endoscopy. CoRR abs/2011.08065 (2020) - [i14]Konstantinos Kousias, Apostolos Pappas, Ozgu Alay, Antonios Argyriou, Michael Riegler:
Long Short Term Memory Networks for Bandwidth Forecasting in Mobile Broadband Networks under Mobility. CoRR abs/2011.10563 (2020) - [i13]Vajira Thambawita, Steven Alexander Hicks, Pål Halvorsen, Michael A. Riegler:
Pyramid-Focus-Augmentation: Medical Image Segmentation with Step-Wise Focus. CoRR abs/2012.07430 (2020) - [i12]Debesh Jha, Steven Alexander Hicks, Krister Emanuelsen, Håvard D. Johansen, Dag Johansen, Thomas de Lange, Michael A. Riegler, Pål Halvorsen:
Medico Multimedia Task at MediaEval 2020: Automatic Polyp Segmentation. CoRR abs/2012.15244 (2020) - [i11]Nikhil Kumar Tomar, Debesh Jha, Sharib Ali, Håvard D. Johansen, Dag Johansen, Michael A. Riegler, Pål Halvorsen:
DDANet: Dual Decoder Attention Network for Automatic Polyp Segmentation. CoRR abs/2012.15245 (2020)
2010 – 2019
- 2019
- [j10]Mattis Jeppsson, Håvard Nygaard Espeland, Tomas Kupka, Ragnar Langseth, Andreas Petlund, Peng Qiaoqiao, Chuansong Xue, Dag Johansen, Konstantin Pogorelov, Håkon Kvale Stensland, Carsten Griwodz, Michael Riegler, Pål Halvorsen:
Efficient Live and On-Demand Tiled HEVC 360 VR Video Streaming. Int. J. Semantic Comput. 13(3): 367-391 (2019) - [j9]Kashif Ahmad, Konstantin Pogorelov, Michael Riegler, Nicola Conci, Pål Halvorsen:
Social media and satellites - Disaster event detection, linking and summarization. Multim. Tools Appl. 78(3): 2837-2875 (2019) - [j8]Naina Said, Kashif Ahmad, Michael Riegler, Konstantin Pogorelov, Laiq Hassan, Nasir Ahmad, Nicola Conci:
Natural disasters detection in social media and satellite imagery: a survey. Multim. Tools Appl. 78(22): 31267-31302 (2019) - [j7]Kashif Ahmad, Konstantin Pogorelov, Michael Riegler, Olga Ostroukhova, Pål Halvorsen, Nicola Conci, Rozenn Dahyot:
Automatic detection of passable roads after floods in remote sensed and social media data. Signal Process. Image Commun. 74: 110-118 (2019) - [c117]Kim Andreassen, Dag Johansen, Håvard D. Johansen, Ivan Baptista, Svein Arne Pettersen, Michael Riegler, Pål Halvorsen:
Real-time Analysis of Physical Performance Parameters in Elite Soccer. CBMI 2019: 1-6 - [c116]Rune Johan Borgli, Håkon Kvale Stensland, Pål Halvorsen, Michael Alexander Riegler:
Saga: An Open Source Platform for Training Machine Learning Models and Community-driven Sharing of Techniques. CBMI 2019: 1-4 - [c115]Hugo Lewi Hammer, Michael A. Riegler, Lilja Øvrelid, Erik Velldal:
THREAT: A Large Annotated Corpus for Detection of Violent Threats. CBMI 2019: 1-5 - [c114]Farzan Majeed Noori, Smiti Kahlon, Philip Lindner, Tine Nordgreen, Jim Tørresen, Michael Riegler:
Heart Rate Prediction from Head Movement during Virtual Reality Treatment for Social Anxiety. CBMI 2019: 1-5 - [c113]Aanund Jupskås Nordskog, Pål Halvorsen, Steven Alexander Hicks, Håkon Kvale Stensland, Hugo Lewi Hammer, Dag Johansen, Michael A. Riegler:
Semantic Analysis of Soccer News for Automatic Game Event Classification. CBMI 2019: 1-6 - [c112]Vajira Thambawita, Hugo Lewi Hammer, Michael Riegler, Pål Halvorsen:
GANEx: A complete pipeline of training, inference and benchmarking GAN experiments. CBMI 2019: 1-4 - [c111]Theodor Wiik, Håvard D. Johansen, Svein Arne Pettersen, Ivan Baptista, Tomas Kupka, Dag Johansen, Michael Riegler, Pål Halvorsen:
Predicting Peek Readiness-to-Train of Soccer Players Using Long Short-Term Memory Recurrent Neural Networks. CBMI 2019: 1-6 - [c110]Fredrik Lund Henriksen, Rune Jensen, Håkon Kvale Stensland, Dag Johansen, Michael Alexander Riegler, Pål Halvorsen:
Performance of Data Enhancements and Training Optimization for Neural Network: A Polyp Detection Case Study. CBMS 2019: 287-293 - [c109]Duc-Tien Dang-Nguyen, Luca Piras, Michael Riegler, Liting Zhou, Mathias Lux, Minh-Triet Tran, Tu-Khiem Le, Van-Tu Ninh, Cathal Gurrin:
Overview of ImageCLEFlifelog 2019: Solve My Life Puzzle and Lifelog Moment Retrieval. CLEF (Working Notes) 2019 - [c108]Bogdan Ionescu, Henning Müller, Renaud Péteri, Yashin Dicente Cid, Vitali Liauchuk, Vassili Kovalev, Dzmitri Klimuk, Aleh Tarasau, Asma Ben Abacha, Sadid A. Hasan, Vivek V. Datla, Joey Liu, Dina Demner-Fushman, Duc-Tien Dang-Nguyen, Luca Piras, Michael Riegler, Minh-Triet Tran, Mathias Lux, Cathal Gurrin, Obioma Pelka, Christoph M. Friedrich, Alba Garcia Seco de Herrera, Narciso García, Ergina Kavallieratou, Carlos Roberto del-Blanco, Carlos Cuevas, Nikos Vasilopoulos, Konstantinos Karampidis, Jon Chamberlain, Adrian F. Clark, Antonio Campello:
ImageCLEF 2019: Multimedia Retrieval in Medicine, Lifelogging, Security and Nature. CLEF 2019: 358-386 - [c107]Van-Tu Ninh, Tu-Khiem Le, Liting Zhou, Luca Piras, Michael Riegler, Mathias Lux, Minh-Triet Tran, Cathal Gurrin, Duc-Tien Dang-Nguyen:
LIFER 2.0: Discovering Personal Lifelog Insights using an Interactive Lifelog Retrieval System. CLEF (Working Notes) 2019 - [c106]Bogdan Ionescu, Henning Müller, Renaud Péteri, Duc-Tien Dang-Nguyen, Luca Piras, Michael Riegler, Minh-Triet Tran, Mathias Lux, Cathal Gurrin, Yashin Dicente Cid, Vitali Liauchuk, Vassili Kovalev, Asma Ben Abacha, Sadid A. Hasan, Vivek V. Datla, Joey Liu, Dina Demner-Fushman, Obioma Pelka, Christoph M. Friedrich, Jon Chamberlain, Adrian F. Clark, Alba Garcia Seco de Herrera, Narciso García, Ergina Kavallieratou, Carlos Roberto del-Blanco, Carlos Cuevas, Nikos Vasilopoulos, Konstantinos Karampidis:
ImageCLEF 2019: Multimedia Retrieval in Lifelogging, Medical, Nature, and Security Applications. ECIR (2) 2019: 301-308 - [c105]Farzan Majeed Noori, Enrique Garcia-Ceja, Md. Zia Uddin, Michael Riegler, Jim Tørresen:
Fusion of Multiple Representations Extracted from a Single Sensor's Data for Activity Recognition Using CNNs. IJCNN 2019: 1-6 - [c104]Edvarda Eriksen, Steven Alexander Hicks, Michael Alexander Riegler, Pål Halvorsen, Valentina Carapella:
A Web-Based Software for Training and Quality Assessment in the Image Analysis Workflow for Cardiac T1 Mapping MRI. ISM 2019: 216-220 - [c103]Debesh Jha, Pia H. Smedsrud, Michael A. Riegler, Dag Johansen, Thomas de Lange, Pål Halvorsen, Håvard D. Johansen:
ResUNet++: An Advanced Architecture for Medical Image Segmentation. ISM 2019: 225-230 - [c102]Rune Johan Borgli, Håkon Kvale Stensland, Michael Alexander Riegler, Pål Halvorsen:
Automatic Hyperparameter Optimization for Transfer Learning on Medical Image Datasets Using Bayesian Optimization. ISMICT 2019: 1-6 - [c101]Mathias Kirkerød, Rune Johan Borgli, Vajira Thambawita, Steven Alexander Hicks, Michael Alexander Riegler, Pål Halvorsen:
Unsupervised preprocessing to improve generalisation for medical image classification. ISMICT 2019: 1-6 - [c100]Kashif Ahmad, Konstantin Pogorelov, Mohib Ullah, Michael Riegler, Nicola Conci, Johannes Langguth, Ala I. Al-Fuqaha:
Multi-Modal Machine Learning for Floods Detection in News, Social Media and Satellite Sequences. MediaEval 2019 - [c99]Steven Alexander Hicks, Pål Halvorsen, Trine B. Haugen, Jorunn M. Andersen, Oliwia Witczak, Konstantin Pogorelov, Hugo Lewi Hammer, Duc-Tien Dang-Nguyen, Mathias Lux, Michael Riegler:
Medico Multimedia Task at MediaEval 2019. MediaEval 2019 - [c98]Steven Alexander Hicks, Pål Halvorsen, Trine B. Haugen, Jorunn M. Andersen, Oliwia Witczak, Konstantin Pogorelov, Hugo Lewi Hammer, Duc-Tien Dang-Nguyen, Mathias Lux, Michael Riegler:
Predicting Sperm Motility and Morphology Using Deep Learning and Handcrafted Features. MediaEval 2019 - [c97]Steven Alexander Hicks, Trine B. Haugen, Pål Halvorsen, Michael Riegler:
Using Deep Learning to Predict Motility and Morphology of Human Sperm. MediaEval 2019 - [c96]Mathias Lux, Michael Riegler, Duc-Tien Dang-Nguyen, Johanna Pirker, Martin Potthast, Pål Halvorsen:
GameStory Task at MediaEval 2019. MediaEval 2019 - [c95]Jon-Magnus Rosenblad, Steven Alexander Hicks, Håkon Kvale Stensland, Trine B. Haugen, Pål Halvorsen, Michael Riegler:
Using 2D and 3D Convolutional Neural Networks to Predict Semen Quality. MediaEval 2019 - [c94]Vajira Thambawita, Pål Halvorsen, Hugo Hammer, Michael Riegler, Trine B. Haugen:
Stacked Dense Optical Flows and Dropout Layers to Predict Sperm Motility and Morphology. MediaEval 2019 - [c93]Vajira Thambawita, Pål Halvorsen, Hugo Hammer, Michael Riegler, Trine B. Haugen:
Extracting Temporal Features into a Spatial Domain Using Autoencoders for Sperm Video Analysis. MediaEval 2019 - [c92]Joakim Ihle Frogner, Farzan Majeed Noori, Pål Halvorsen, Steven Alexander Hicks, Enrique Garcia-Ceja, Jim Tørresen, Michael Alexander Riegler:
One-Dimensional Convolutional Neural Networks on Motor Activity Measurements in Detection of Depression. HealthMedia@MM 2019: 9-15 - [c91]Kanchan Bahirat, Yu-Yen Chung, Thiru Annaswamy, Gargi Raval, Kevin Desai, Balakrishnan Prabhakaran, Michael Riegler:
Using Mr. MAPP for Lower Limb Phantom Pain Management. ACM Multimedia 2019: 1071-1075 - [c90]Steven Alexander Hicks, Michael Riegler, Pia H. Smedsrud, Trine B. Haugen, Kristin Ranheim Randel, Konstantin Pogorelov, Håkon Kvale Stensland, Duc-Tien Dang-Nguyen, Mathias Lux, Andreas Petlund, Thomas de Lange, Peter Thelin Schmidt, Pål Halvorsen:
ACM Multimedia BioMedia 2019 Grand Challenge Overview. ACM Multimedia 2019: 2563-2567 - [c89]Pål Halvorsen, Michael Alexander Riegler, Klaus Schoeffmann:
Medical Multimedia Systems and Applications. ACM Multimedia 2019: 2711-2713 - [c88]Mathias Lux, Pål Halvorsen, Duc-Tien Dang-Nguyen, Håkon Kvale Stensland, Manoj Kesavulu, Martin Potthast, Michael Riegler:
Summarizing E-sports matches and tournaments: the example of counter-strike: global offensive. MMVE@MMSys 2019: 13-18 - [c87]Trine B. Haugen, Steven Alexander Hicks, Jorunn M. Andersen, Oliwia Witczak, Hugo Lewi Hammer, Rune Johan Borgli, Pål Halvorsen, Michael Riegler:
VISEM: a multimodal video dataset of human spermatozoa. MMSys 2019: 261-266 - [c86]Konstantinos Kousias, Özgü Alay, Antonios Argyriou, Andra Lutu, Michael Riegler:
Estimating Downlink Throughput from End-user Measurements in Mobile Broadband Networks. WOWMOM 2019: 1-10 - [p2]Luca Piras, Barbara Caputo, Duc-Tien Dang-Nguyen, Michael Riegler, Pål Halvorsen:
Image Retrieval Evaluation in Specific Domains. Information Retrieval Evaluation in a Changing World 2019: 275-305 - [e6]Cathal Gurrin, Klaus Schöffmann, Hideo Joho, Duc-Tien Dang-Nguyen, Michael Riegler, Luca Piras:
Proceedings of the ACM Workshop on Lifelog Search Challenge, LSC@ICMR 2019, Ottawa, ON, Canada, 10 June 2019. ACM 2019, ISBN 978-1-4503-6781-3 [contents] - [i10]Kashif Ahmad, Konstantin Pogorelov, Michael Riegler, Olga Ostroukhova, Pål Halvorsen, Nicola Conci, Rozenn Dahyot:
Automatic detection of passable roads after floods in remote sensed and social media data. CoRR abs/1901.03298 (2019) - [i9]Naina Said, Kashif Ahmad, Michael Riegler, Konstantin Pogorelov, Laiq Hasan, Nasir Ahmad, Nicola Conci:
Natural Disasters Detection in Social Media and Satellite imagery: a survey. CoRR abs/1901.04277 (2019) - [i8]Kashif Ahmad, Konstantin Pogorelov, Mohib Ullah, Michael Riegler, Nicola Conci, Johannes Langguth, Ala I. Al-Fuqaha:
Multi-Modal Machine Learning for Flood Detection in News, Social Media and Satellite Sequences. CoRR abs/1910.02932 (2019) - [i7]Steven Alexander Hicks, Jorunn M. Andersen, Oliwia Witczak, Vajira Thambawita, Pål Halvorsen, Hugo Lewi Hammer, Trine B. Haugen, Michael A. Riegler:
Machine Learning-Based Analysis of Sperm Videos and Participant Data for Male Fertility Prediction. CoRR abs/1910.13327 (2019) - [i6]Vajira Thambawita, Pål Halvorsen, Hugo Hammer, Michael Riegler, Trine B. Haugen:
Stacked dense optical flows and dropout layers to predict sperm motility and morphology. CoRR abs/1911.03086 (2019) - [i5]Vajira Thambawita, Pål Halvorsen, Hugo Hammer, Michael Riegler, Trine B. Haugen:
Extracting temporal features into a spatial domain using autoencoders for sperm video analysis. CoRR abs/1911.03100 (2019) - [i4]Debesh Jha, Pia H. Smedsrud, Michael A. Riegler, Dag Johansen, Thomas de Lange, Pål Halvorsen, Håvard D. Johansen:
ResUNet++: An Advanced Architecture for Medical Image Segmentation. CoRR abs/1911.07067 (2019) - [i3]Debesh Jha, Pia H. Smedsrud, Michael A. Riegler, Pål Halvorsen, Thomas de Lange, Dag Johansen, Håvard D. Johansen:
Kvasir-SEG: A Segmented Polyp Dataset. CoRR abs/1911.07069 (2019) - 2018
- [j6]Francesca Murabito, Concetto Spampinato, Simone Palazzo, Daniela Giordano, Konstantin Pogorelov, Michael Riegler:
Top-down saliency detection driven by visual classification. Comput. Vis. Image Underst. 172: 67-76 (2018) - [j5]Mohammad Soleymani, Michael Riegler, Pål Halvorsen:
Multimodal analysis of user behavior and browsed content under different image search intents. Int. J. Multim. Inf. Retr. 7(1): 29-41 (2018) - [j4]Enrique Garcia-Ceja, Michael Riegler, Tine Nordgreen, Petter Jakobsen, Ketil J. Oedegaard, Jim Tørresen:
Mental health monitoring with multimodal sensing and machine learning: A survey. Pervasive Mob. Comput. 51: 1-26 (2018) - [c85]Konstantin Pogorelov, Olga Ostroukhova, Andreas Petlund, Pål Halvorsen, Thomas de Lange, Håvard Nygaard Espeland, Tomas Kupka, Carsten Griwodz, Michael Riegler:
Deep learning and handcrafted feature based approaches for automatic detection of angiectasia. BHI 2018: 365-368 - [c84]Enrique Garcia-Ceja, Michael Riegler, Petter Jakobsen, Jim Tørresen, Tine Nordgreen, Ketil J. Oedegaard, Ole Bernt Fasmer:
Motor Activity Based Classification of Depression in Unipolar and Bipolar Patients. CBMS 2018: 316-321 - [c83]Steven Alexander Hicks, Michael Riegler, Konstantin Pogorelov, Kim V. Anonsen, Thomas de Lange, Dag Johansen, Mattis Jeppsson, Kristin Ranheim Randel, Sigrun Losada Eskeland, Pål Halvorsen:
Dissecting Deep Neural Networks for Better Medical Image Classification and Classification Understanding. CBMS 2018: 363-368 - [c82]Konstantin Pogorelov, Olga Ostroukhova, Mattis Jeppsson, Håvard Espeland, Carsten Griwodz, Thomas de Lange, Dag Johansen, Michael Riegler, Pål Halvorsen:
Deep Learning and Hand-Crafted Feature Based Approaches for Polyp Detection in Medical Videos. CBMS 2018: 381-386 - [c81]Duc-Tien Dang-Nguyen, Luca Piras, Michael Riegler, Liting Zhou, Mathias Lux, Cathal Gurrin:
Overview of ImageCLEFlifelog 2018: Daily Living Understanding and Lifelog Moment Retrieval. CLEF (Working Notes) 2018 - [c80]Bogdan Ionescu, Henning Müller, Mauricio Villegas, Alba Garcia Seco de Herrera, Carsten Eickhoff, Vincent Andrearczyk, Yashin Dicente Cid, Vitali Liauchuk, Vassili Kovalev, Sadid A. Hasan, Yuan Ling, Oladimeji Farri, Joey Liu, Matthew P. Lungren, Duc-Tien Dang-Nguyen, Luca Piras, Michael Riegler, Liting Zhou, Mathias Lux, Cathal Gurrin:
Overview of ImageCLEF 2018: Challenges, Datasets and Evaluation. CLEF 2018: 309-334 - [c79]Liting Zhou, Luca Piras, Michael Riegler, Mathias Lux, Duc-Tien Dang-Nguyen, Cathal Gurrin:
An Interactive Lifelog Retrieval System for Activities of Daily Living Understanding. CLEF (Working Notes) 2018 - [c78]Tor Jan Derek Berstad, Michael Riegler, Håvard Espeland, Thomas de Lange, Pia Helen Smedsrud, Konstantin Pogorelov, Håkon Kvale Stensland, Pål Halvorsen:
Tradeoffs Using Binary and Multiclass Neural Network Classification for Medical Multidisease Detection. ISM 2018: 1-8 - [c77]Mattis Jeppsson, Håvard Espeland, Tomas Kupka, Ragnar Langseth, Andreas Petlund, Peng Qiaoqiao, Chuansong Xue, Konstantin Pogorelov, Michael Riegler, Dag Johansen, Carsten Griwodz, Pål Halvorsen:
Efficient Live and on-Demand Tiled HEVC 360 VR Video Streaming. ISM 2018: 81-88 - [c76]Rune Johan Borgli, Pål Halvorsen, Michael Riegler, Håkon Kvale Stensland:
Automatic Hyperparameter Optimization in Keras for the MediaEval 2018 Medico Multimedia Task. MediaEval 2018 - [c75]Steven Alexander Hicks, Pia H. Smedsrud, Pål Halvorsen, Michael Riegler:
Deep Learning Based Disease Detection Using Domain Specific Transfer Learning. MediaEval 2018 - [c74]Mathias Kirkerød, Vajira Thambawita, Michael Riegler, Pål Halvorsen:
Using Preprocessing as a Tool in Medical Image Detection. MediaEval 2018 - [c73]Mathias Lux, Michael Riegler, Duc-Tien Dang-Nguyen, Marcus Larson, Martin Potthast, Pål Halvorsen:
GameStory Task at MediaEval 2018. MediaEval 2018 - [c72]Mathias Lux, Michael Riegler, Duc-Tien Dang-Nguyen, Marcus Larson, Martin Potthast, Pål Halvorsen:
Team ORG @ GameStory Task 2018. MediaEval 2018 - [c71]Olga Ostroukhova, Konstantin Pogorelov, Michael Riegler, Duc-Tien Dang-Nguyen, Pål Halvorsen:
Transfer Learning with Prioritized Classification and Training Dataset Equalization for Medical Objects Detection. MediaEval 2018 - [c70]Konstantin Pogorelov, Michael Riegler, Pål Halvorsen, Steven Alexander Hicks, Kristin Ranheim Randel, Duc-Tien Dang-Nguyen, Mathias Lux, Olga Ostroukhova, Thomas de Lange:
Medico Multimedia Task at MediaEval 2018. MediaEval 2018 - [c69]Naina Said, Konstantin Pogorelov, Kashif Ahmad, Michael Riegler, Nasir Ahmad, Olga Ostroukhova, Pål Halvorsen, Nicola Conci:
Deep Learning Approaches for Flood Classification and Flood Aftermath Detection. MediaEval 2018 - [c68]Vajira Thambawita, Debesh Jha, Michael Riegler, Pål Halvorsen, Hugo Lewi Hammer, Håvard D. Johansen, Dag Johansen:
The Medico-Task 2018: Disease Detection in the Gastrointestinal Tract Using Global Features and Deep Learning. MediaEval 2018 - [c67]Duc-Tien Dang-Nguyen, Michael Riegler, Liting Zhou, Cathal Gurrin:
Challenges and Opportunities within Personal Life Archives. ICMR 2018: 335-343 - [c66]Michael Riegler, Pål Halvorsen, Bernd Münzer, Klaus Schoeffmann:
The Importance of Medical Multimedia. ACM Multimedia 2018: 2106-2108 - [c65]Konstantin Pogorelov, Zeno Albisser, Olga Ostroukhova, Mathias Lux, Dag Johansen, Pål Halvorsen, Michael Riegler:
Opensea: open search based classification tool. MMSys 2018: 363-368 - [c64]Steven Alexander Hicks, Sigrun Losada Eskeland, Mathias Lux, Thomas de Lange, Kristin Ranheim Randel, Mattis Jeppsson, Konstantin Pogorelov, Pål Halvorsen, Michael Riegler:
Mimir: an automatic reporting and reasoning system for deep learning based analysis in the medical domain. MMSys 2018: 369-374 - [c63]Konstantinos Kousias, Michael Riegler, Özgü Alay, Antonios Argyriou:
HINDSIGHT: an R-based framework towards long short term memory (LSTM) optimization. MMSys 2018: 381-386 - [c62]Enrique Garcia-Ceja, Michael Riegler, Petter Jakobsen, Jim Tørresen, Tine Nordgreen, Ketil J. Oedegaard, Ole Bernt Fasmer:
Depresjon: a motor activity database of depression episodes in unipolar and bipolar patients. MMSys 2018: 472-477 - [c61]Steven Alexander Hicks, Konstantin Pogorelov, Thomas de Lange, Mathias Lux, Mattis Jeppsson, Kristin Ranheim Randel, Sigrun Losada Eskeland, Pål Halvorsen, Michael Riegler:
Comprehensible reasoning and automated reporting of medical examinations based on deep learning analysis. MMSys 2018: 490-493 - [p1]Vamsidhar Reddy Gaddam, Ragnar Langseth, Håkon Kvale Stensland, Carsten Griwodz, Michael Riegler, Tomas Kupka, Håvard Espeland, Dag Johansen, Håvard D. Johansen, Pål Halvorsen:
Camera Synchronization for Panoramic Videos. MediaSync, Handbook on Multimedia Synchronization 2018: 565-592 - [e5]Martha A. Larson, Piyush Arora, Claire-Hélène Demarty, Michael Riegler, Benjamin Bischke, Emmanuel Dellandréa, Mathias Lux, Alastair Porter, Gareth J. F. Jones:
Working Notes Proceedings of the MediaEval 2018 Workshop, Sophia Antipolis, France, 29-31 October 2018. CEUR Workshop Proceedings 2283, CEUR-WS.org 2018 [contents] - [e4]Cathal Gurrin, Klaus Schoeffmann, Hideo Joho, Duc-Tien Dang-Nguyen, Michael Riegler, Luca Piras:
Proceedings of the 2018 ACM Workshop on The Lifelog Search Challenge, LSC@ICMR 2018, Yokohama, Japan, June 11, 2018. ACM 2018 [contents] - [i2]Vajira Thambawita, Debesh Jha, Michael Riegler, Pål Halvorsen, Hugo Lewi Hammer, Håvard D. Johansen, Dag Johansen:
The Medico-Task 2018: Disease Detection in the Gastrointestinal Tract using Global Features and Deep Learning. CoRR abs/1810.13278 (2018) - 2017
- [j3]Konstantin Pogorelov, Michael Riegler, Sigrun Losada Eskeland, Thomas de Lange, Dag Johansen, Carsten Griwodz, Peter Thelin Schmidt, Pål Halvorsen:
Efficient disease detection in gastrointestinal videos - global features versus neural networks. Multim. Tools Appl. 76(21): 22493-22525 (2017) - [j2]Michael Riegler, Konstantin Pogorelov, Sigrun Losada Eskeland, Peter Thelin Schmidt, Zeno Albisser, Dag Johansen, Carsten Griwodz, Pål Halvorsen, Thomas de Lange:
From Annotation to Computer-Aided Diagnosis: Detailed Evaluation of a Medical Multimedia System. ACM Trans. Multim. Comput. Commun. Appl. 13(3): 26:1-26:26 (2017) - [c60]Kashif Ahmad, Michael Riegler, Konstantin Pogorelov, Nicola Conci, Pål Halvorsen, Francesco G. B. De Natale:
JORD: A System for Collecting Information and Monitoring Natural Disasters by Linking Social Media with Satellite Imagery. CBMI 2017: 12:1-12:6 - [c59]Shipra Suman, Fawnizu Azmadi Hussin, Aamir Saeed Malik, Konstantin Pogorelov, Michael Riegler, Shiaw Hooi Ho, Ida Hilmi, Khean Lee Goh:
Detection and Classification of Bleeding Region in WCE Images using Color Feature. CBMI 2017: 17:1-17:6 - [c58]Duc-Tien Dang-Nguyen, Liting Zhou, Rashmi Gupta, Michael Riegler, Cathal Gurrin:
Building a Disclosed Lifelog Dataset: Challenges, Principles and Processes. CBMI 2017: 22:1-22:6 - [c57]Duc-Tien Dang-Nguyen, Luca Piras, Michael Riegler, Giulia Boato, Liting Zhou, Cathal Gurrin:
Overview of ImageCLEFlifelog 2017: Lifelog Retrieval and Summarization. CLEF (Working Notes) 2017 - [c56]Bogdan Ionescu, Henning Müller, Mauricio Villegas, Helbert Arenas, Giulia Boato, Duc-Tien Dang-Nguyen, Yashin Dicente Cid, Carsten Eickhoff, Alba Garcia Seco de Herrera, Cathal Gurrin, Md Bayzidul Islam, Vassili Kovalev, Vitali Liauchuk, Josiane Mothe, Luca Piras, Michael Riegler, Immanuel Schwall:
Overview of ImageCLEF 2017: Information Extraction from Images. CLEF 2017: 315-337 - [c55]Liting Zhou, Luca Piras, Michael Riegler, Giulia Boato, Duc-Tien Dang-Nguyen, Cathal Gurrin:
Organizer Team at ImageCLEFlifelog 2017: Baseline Approaches for Lifelog Retrieval and Summarization. CLEF (Working Notes) 2017 - [c54]Minh-Son Dao, Duc-Tien Dang-Nguyen, Michael Riegler, Cathal Gurrin:
Smart Lifelogging: Recognizing Human Activities using PHASOR. ICPRAM 2017: 761-768 - [c53]Kashif Ahmad, Konstantin Pogorelov, Michael Riegler, Nicola Conci, Pål Halvorsen:
CNN and GAN Based Satellite and Social Media Data Fusion for Disaster Detection. MediaEval 2017 - [c52]Konstantin Pogorelov, Michael Riegler, Pål Halvorsen, Carsten Griwodz, Thomas de Lange, Kristin Ranheim Randel, Sigrun Losada Eskeland, Duc-Tien Dang-Nguyen, Olga Ostroukhova, Mathias Lux, Concetto Spampinato:
A Comparison of Deep Learning with Global Features for Gastrointestinal Disease Detection. MediaEval 2017 - [c51]Michael Riegler, Konstantin Pogorelov, Pål Halvorsen, Kristin Ranheim Randel, Sigrun Losada Eskeland, Duc-Tien Dang-Nguyen, Mathias Lux, Carsten Griwodz, Concetto Spampinato, Thomas de Lange:
Multimedia for Medicine: The Medico Task at MediaEval 2017. MediaEval 2017 - [c50]Konstantin Pogorelov, Michael Riegler, Pål Halvorsen, Carsten Griwodz:
ClusterTag: Interactive Visualization, Clustering and Tagging Tool for Big Image Collections. ICMR 2017: 112-116 - [c49]Mohammad Soleymani, Michael Riegler, Pål Halvorsen:
Multimodal Analysis of Image Search Intent: Intent Recognition in Image Search from User Behavior and Visual Content. ICMR 2017: 251-259 - [c48]Kashif Ahmad, Michael Riegler, Ans Riaz, Nicola Conci, Duc-Tien Dang-Nguyen, Pål Halvorsen:
The JORD System: Linking Sky and Social Multimedia Data to Natural Disasters. ICMR 2017: 461-465 - [c47]Mathias Lux, Michael Riegler, Pål Halvorsen, Glenn Macstravic:
LireSolr: A Visual Information Retrieval Server. ICMR 2017: 466-469 - [c46]Klaus Schoeffmann, Bernd Münzer, Michael Riegler, Pål Halvorsen:
Medical Multimedia Information Systems (MMIS). ACM Multimedia 2017: 1957-1958 - [c45]Iffat Ahmed, Michael Riegler, Andreas Petlund, Carsten Griwodz, Pål Halvorsen:
Finding Equilibrium for Gym Ownership Distribution Based on Game Dynamics in Pokémon Go. MMVE@MMSys 2017: 1-6 - [c44]Konstantin Pogorelov, Sigrun Losada Eskeland, Thomas de Lange, Carsten Griwodz, Kristin Ranheim Randel, Håkon Kvale Stensland, Duc-Tien Dang-Nguyen, Concetto Spampinato, Dag Johansen, Michael Riegler, Pål Halvorsen:
A Holistic Multimedia System for Gastrointestinal Tract Disease Detection. MMSys 2017: 112-123 - [c43]Konstantin Pogorelov, Kristin Ranheim Randel, Carsten Griwodz, Sigrun Losada Eskeland, Thomas de Lange, Dag Johansen, Concetto Spampinato, Duc-Tien Dang-Nguyen, Mathias Lux, Peter Thelin Schmidt, Michael Riegler, Pål Halvorsen:
KVASIR: A Multi-Class Image Dataset for Computer Aided Gastrointestinal Disease Detection. MMSys 2017: 164-169 - [c42]Konstantin Pogorelov, Kristin Ranheim Randel, Thomas de Lange, Sigrun Losada Eskeland, Carsten Griwodz, Dag Johansen, Concetto Spampinato, Mario Taschwer, Mathias Lux, Peter Thelin Schmidt, Michael Riegler, Pål Halvorsen:
Nerthus: A Bowel Preparation Quality Video Dataset. MMSys 2017: 170-174 - [c41]Konstantinos Kousias, Cise Midoglu, Ozgu Alay, Andra Lutu, Antonios Argyriou, Michael Riegler:
The same, only different: Contrasting mobile operator behavior from crowdsourced dataset. PIMRC 2017: 1-6 - [e3]Guillaume Gravier, Benjamin Bischke, Claire-Hélène Demarty, Maia Zaharieva, Michael Riegler, Emmanuel Dellandréa, Dmitry Bogdanov, Richard F. E. Sutcliffe, Gareth J. F. Jones, Martha A. Larson:
Working Notes Proceedings of the MediaEval 2017 Workshop co-located with the Conference and Labs of the Evaluation Forum (CLEF 2017), Dublin, Ireland, September 13-15, 2017. CEUR Workshop Proceedings 1984, CEUR-WS.org 2017 [contents] - [i1]Francesca Murabito, Concetto Spampinato, Simone Palazzo, Konstantin Pogorelov, Michael Riegler:
Top-Down Saliency Detection Driven by Visual Classification. CoRR abs/1709.05307 (2017) - 2016
- [j1]Vamsidhar Reddy Gaddam, Michael Riegler, Ragnhild Eg, Carsten Griwodz, Pål Halvorsen:
Tiling in Interactive Panoramic Video: Approaches and Evaluation. IEEE Trans. Multim. 18(9): 1819-1831 (2016) - [c40]Michael Riegler, Vamsidhar Reddy Gaddam, Martha A. Larson, Ragnhild Eg, Pål Halvorsen, Carsten Griwodz:
Crowdsourcing as self-fulfilling prophecy: Influence of discarding workers in subjective assessment tasks. CBMI 2016: 1-6 - [c39]Michael Riegler, Konstantin Pogorelov, Pål Halvorsen, Thomas de Lange, Carsten Griwodz, Peter Thelin Schmidt, Sigrun Losada Eskeland, Dag Johansen:
EIR - Efficient computer aided diagnosis framework for gastrointestinal endoscopies. CBMI 2016: 1-6 - [c38]Michael Riegler, Konstantin Pogorelov, Mathias Lux, Pål Halvorsen, Carsten Griwodz, Thomas de Lange, Sigrun Losada Eskeland:
Explorative hyperbolic-tree-based clustering tool for unsupervised knowledge discovery. CBMI 2016: 1-4 - [c37]Konstantin Pogorelov, Michael Riegler, Pål Halvorsen, Peter Thelin Schmidt, Carsten Griwodz, Dag Johansen, Sigrun Losada Eskeland, Thomas de Lange:
GPU-Accelerated Real-Time Gastrointestinal Diseases Detection. CBMS 2016: 185-190 - [c36]Hugo Jair Escalante, Víctor Ponce-López, Jun Wan, Michael A. Riegler, Baiyu Chen, Albert Clapés, Sergio Escalera, Isabelle Guyon, Xavier Baró, Pål Halvorsen, Henning Müller, Martha A. Larson:
ChaLearn Joint Contest on Multimedia Challenges Beyond Visual Analysis: An overview. ICPR 2016: 67-73 - [c35]Christina Boididou, Symeon Papadopoulos, Duc-Tien Dang-Nguyen, Giulia Boato, Michael Riegler, Stuart E. Middleton, Andreas Petlund, Yiannis Kompatsiaris:
Verifying Multimedia Use at MediaEval 2016. MediaEval 2016 - [c34]Christina Boididou, Symeon Papadopoulos, Stuart E. Middleton, Duc-Tien Dang-Nguyen, Michael Riegler, Andreas Petlund, Yiannis Kompatsiaris:
The VMU Participation @ Verifying Multimedia Use 2016. MediaEval 2016 - [c33]Konstantin Pogorelov, Michael Riegler, Pål Halvorsen, Carsten Griwodz:
Simula @ MediaEval 2016 Context of Experience Task. MediaEval 2016 - [c32]Michael Riegler, Concetto Spampinato, Martha A. Larson, Carsten Griwodz, Pål Halvorsen:
The MediaEval 2016 Context of Experience Task: Recommending Videos Suiting a Watching Situation. MediaEval 2016 - [c31]Michael Riegler, Mathias Lux, Carsten Griwodz, Concetto Spampinato, Thomas de Lange, Sigrun Losada Eskeland, Konstantin Pogorelov, Wallapak Tavanapong, Peter Thelin Schmidt, Cathal Gurrin, Dag Johansen, Håvard D. Johansen, Pål Halvorsen:
Multimedia and Medicine: Teammates for Better Disease Detection and Survival. ACM Multimedia 2016: 968-977 - [c30]Kristian Skarseth, Henrik Bjørlo, Pål Halvorsen, Michael Riegler, Carsten Griwodz:
OpenVQ: A Video Quality Assessment Toolkit. ACM Multimedia 2016: 1197-1200 - [c29]Michael Riegler, Konstantin Pogorelov, Jonas Markussen, Mathias Lux, Håkon Kvale Stensland, Thomas de Lange, Carsten Griwodz, Pål Halvorsen, Dag Johansen, Peter Thelin Schmidt, Sigrun Losada Eskeland:
Computer aided disease detection system for gastrointestinal examinations. MMSys 2016: 29:1-29:4 - [c28]Mathias Lux, Michael Riegler, Pål Halvorsen, Konstantin Pogorelov, Nektarios Anagnostopoulos:
LIRE: open source visual information retrieval. MMSys 2016: 30:1-30:4 - [c27]Konstantin Pogorelov, Michael Riegler, Jonas Markussen, Håkon Kvale Stensland, Pål Halvorsen, Carsten Griwodz, Sigrun Losada Eskeland, Thomas de Lange:
Efficient processing of videos in a multi-auditory environment using device lending of GPUs. MMSys 2016: 36:1-36:4 - [c26]Michael Riegler, Martha A. Larson, Concetto Spampinato, Pål Halvorsen, Mathias Lux, Jonas Markussen, Konstantin Pogorelov, Carsten Griwodz, Håkon Kvale Stensland:
Right inflight?: a dataset for exploring the automatic prediction of movies suitable for a watching situation. MMSys 2016: 45:1-45:6 - [c25]Michael Riegler, Duc-Tien Dang-Nguyen, Bård Winther, Carsten Griwodz, Konstantin Pogorelov, Pål Halvorsen:
Heimdallr: a dataset for sport analysis. MMSys 2016: 47:1-47:6 - [c24]Lars Bjørlykke Kristiansen, Jonas Markussen, Håkon Kvale Stensland, Michael Riegler, Hugo Kohmann, Friedrich Seifert, Roy Nordstrøm, Carsten Griwodz, Pål Halvorsen:
Device lending in PCI express networks. NOSSDAV 2016: 10:1-10:6 - [e2]Guillaume Gravier, Claire-Hélène Demarty, Hervé Bredin, Bogdan Ionescu, Christina Boididou, Emmanuel Dellandréa, Jaeyoung Choi, Michael Riegler, Richard F. E. Sutcliffe, Igor Szöke, Gareth J. F. Jones, Martha A. Larson:
Working Notes Proceedings of the MediaEval 2016 Workshop, Hilversum, The Netherlands, October 20-21, 2016. CEUR Workshop Proceedings 1739, CEUR-WS.org 2016 [contents] - 2015
- [c23]Waqas Moazzam, Michael Riegler, Sagar Sen, Mari Nygård:
Scientific Hangman: Gamifying Scientific Evidence for General Public. GamifIR@ECIR 2015: 26-33 - [c22]Michael Riegler, Ragnhild Eg, Lilian Calvet, Mathias Lux, Pål Halvorsen, Carsten Griwodz:
Playing Around the Eye Tracker - A Serious Game Based Dataset. GamifIR@ECIR 2015: 34-40 - [c21]Marek Machnik, Michael Riegler, Sagar Sen:
Crowdpinion: Motivating People to Share their Momentary Opinion. GamifIR@ECIR 2015: 44-51 - [c20]Christina Boididou, Katerina Andreadou, Symeon Papadopoulos, Duc-Tien Dang-Nguyen, Giulia Boato, Michael Riegler, Yiannis Kompatsiaris:
Verifying Multimedia Use at MediaEval 2015. MediaEval 2015 - [c19]Michael Riegler, Martha A. Larson, Concetto Spampinato, Jonas Markussen, Pål Halvorsen, Carsten Griwodz:
Introduction to a Task on Context of Experience: Recommending Videos Suiting a Watching Situation. MediaEval 2015 - [c18]Maia Zaharieva, Michael Riegler:
Media Synchronization and Sub-Event Detection in Multi-User Image Collections. HuEvent@ACM Multimedia 2015: 13-18 - [c17]Bård Winther, Michael Riegler, Lilian Calvet, Carsten Griwodz, Pål Halvorsen:
Why Design Matters: Crowdsourcing of Complex Tasks. CrowdMM@ACM Multimedia 2015: 27-32 - [c16]Zeno Albisser, Michael Riegler, Pål Halvorsen, Jiang Zhou, Carsten Griwodz, Ilangko Balasingham, Cathal Gurrin:
Expert driven semi-supervised elucidation tool for medical endoscopic videos. MMSys 2015: 73-76 - [c15]Michael Riegler, Lilian Calvet, Amandine Calvet, Pål Halvorsen, Carsten Griwodz:
Exploitation of producer intent in relation to bandwidth and QoE for online video streaming services. NOSSDAV 2015: 7-12 - [e1]Martha A. Larson, Bogdan Ionescu, Mats Sjöberg, Xavier Anguera, Johann Poignant, Michael Riegler, Maria Eskevich, Claudia Hauff, Richard F. E. Sutcliffe, Gareth J. F. Jones, Yi-Hsuan Yang, Mohammad Soleymani, Symeon Papadopoulos:
Working Notes Proceedings of the MediaEval 2015 Workshop, Wurzen, Germany, September 14-15, 2015. CEUR Workshop Proceedings 1436, CEUR-WS.org 2015 [contents] - 2014
- [c14]Mathias Lux, Mario Guggenberger, Michael Riegler:
PictureSort: gamification of image ranking. GamifIR@ECIR 2014: 57-60 - [c13]Michael Riegler, Preben N. Olsen, Pål Halvorsen:
Work Like a Bee - Taking Advantage of Diligent Crowdsourcing Workers. MediaEval 2014 - [c12]Maia Zaharieva, Michael Riegler, Manfred del Fabro:
Multimodal Synchronization of Image Galleries. MediaEval 2014 - [c11]Michael Riegler, Mathias Lux, Vincent Charvillat, Axel Carlier, Raynor Vliegendhart, Martha A. Larson:
VideoJot: A Multifunctional Video Annotation Tool. ICMR 2014: 534 - [c10]Mario Guggenberger, Michael Riegler, Mathias Lux, Pål Halvorsen:
Event Understanding in Endoscopic Surgery Videos. HuEvent@MM 2014: 17-22 - [c9]Valentina Conotter, Duc-Tien Dang-Nguyen, Michael Riegler, Giulia Boato, Martha A. Larson:
A Crowdsourced Data Set of Edited Images Online. CrowdMM 2014: 49-52 - [c8]Babak Loni, Jonathon S. Hare, Mihai Georgescu, Michael Riegler, Xiaofei Zhu, Mohamed Morchid, Richard Dufour, Martha A. Larson:
Getting by with a Little Help from the Crowd: Practical Approaches to Social Image Labeling. CrowdMM 2014: 69-74 - [c7]Michael Riegler, Martha A. Larson, Mathias Lux, Christoph Kofler:
How 'How' Reflects What's What: Content-based Exploitation of How Users Frame Social Images. ACM Multimedia 2014: 397-406 - [c6]Michael Riegler, Mathias Lux, Christian Zellot, Lukas Knoch, Horst Schnattler, Sabrina Napetschnig, Julian Kogler, Claus Degendorfer, Norbert Spot, Manuel Zoderer:
Gone: an interactive experience for two people. ACM Multimedia 2014: 701-704 - [c5]Babak Loni, Lei Yen Cheung, Michael Riegler, Alessandro Bozzon, Luke R. Gottlieb, Martha A. Larson:
Fashion 10000: an enriched social image dataset for fashion and clothing. MMSys 2014: 41-46 - [c4]Michael Riegler, Ragnhild Eg, Mathias Lux, Markus Schicho:
Mobile Picture Guess: A Crowdsourced Serious Game for Simulating Human Perception. SocInfo Workshops 2014: 461-468 - 2013
- [c3]Xinchao Li, Michael Riegler, Martha A. Larson, Alan Hanjalic:
Exploration of Feature Combination in Geo-visual Ranking for Visual Content-based Location Prediction. MediaEval 2013 - [c2]Michael Riegler, Mathias Lux, Christoph Kofler:
Frame the Crowd: Global Visual Features Labeling boosted with Crowdsourcing Information. MediaEval 2013 - [c1]Mathias Lux, Michael Riegler:
Annotation of endoscopic videos on mobile devices: a bottom-up approach. MMSys 2013: 141-145
Coauthor Index
[c209] [c208] [c189] [e9] [i57] [c166] [e8] [i39] [c146] [c141] [e7] [i26] [c136] [c135] [c134] [c133] [c120] [c109] [c108] [c107] [c106] [c99] [c98] [c96] [c90] [c88] [p2] [e6] [c81] [c80] [c79] [c73] [c72] [c71] [c70] [c67] [e4] [c58] [c57] [c56] [c55] [c54] [c52] [c51] [c48] [c44] [c43] [c35] [c34] [c25] [c20] [c9]
[c210] [c209] [c207] [c206] [c205] [c204] [c203] [c202] [i60] [j43] [j38] [j37] [j36] [c201] [c200] [c197] [c196] [c195] [c194] [c193] [c192] [c191] [c190] [c188] [c187] [c186] [c184] [d1] [i59] [i57] [i56] [i55] [i54] [i53] [i52] [i51] [j35] [j34] [j33] [j32] [j30] [j29] [c183] [c182] [c181] [c180] [c179] [c178] [c177] [c175] [c174] [c171] [c170] [c168] [c167] [c165] [c164] [c163] [c162] [c161] [c159] [c158] [c157] [c156] [i50] [i49] [i48] [i47] [i46] [i45] [i44] [i43] [i41] [i40] [i39] [i38] [i37] [i36] [j27] [j22] [j21] [j20] [j19] [j18] [j17] [j16] [c154] [c153] [c152] [c151] [c150] [c149] [c148] [c147] [c146] [c145] [c143] [c142] [c140] [c139] [i35] [i34] [i33] [i32] [i31] [i30] [i29] [i28] [i27] [i26] [i25] [i24] [i23] [i22] [i21] [j15] [j14] [c138] [c137] [c136] [c135] [c134] [c133] [c132] [c131] [c130] [c129] [c128] [c127] [c126] [c123] [c122] [c120] [c119] [c118] [i20] [i19] [i18] [i17] [i16] [i15] [i13] [i12] [i11] [j10] [j9] [j7] [c117] [c116] [c113] [c112] [c111] [c110] [c104] [c103] [c102] [c101] [c99] [c98] [c97] [c96] [c95] [c94] [c93] [c92] [c90] [c89] [c88] [c87] [p2] [i10] [i7] [i6] [i5] [i4] [i3] [j5] [c85] [c83] [c82] [c78] [c77] [c76] [c75] [c74] [c73] [c72] [c71] [c70] [c69] [c68] [c66] [c65] [c64] [c61] [p1] [i2] [j3] [j2] [c60] [c53] [c52] [c51] [c50] [c49] [c48] [c47] [c46] [c45] [c44] [c43] [c42] [j1] [c40] [c39] [c38] [c37] [c36] [c33] [c32] [c31] [c30] [c29] [c28] [c27] [c26] [c25] [c24] [c22] [c19] [c17] [c16] [c15] [c13] [c10]
Hugo Hammer
aka: Hugo Lewi Hammer
aka: Hugo Lewi Hammer
Alba Garcia Seco de Herrera
aka: Alba García Seco de Herrera
aka: Alba García Seco de Herrera
Steven Alexander Hicks
aka: Steven Hicks
aka: Steven Hicks
[c210] [c196] [c195] [c194] [c190] [c188] [c186] [c184] [i55] [i53] [i52] [j35] [j33] [j30] [c181] [c175] [c173] [c171] [c168] [c165] [c164] [c163] [c159] [i50] [i48] [i37] [i36] [j26] [j24] [j22] [j20] [j19] [j17] [c151] [c150] [c149] [c148] [c147] [c146] [c145] [c143] [c140] [c139] [i31] [i29] [i28] [i21] [c138] [c131] [c129] [c128] [c127] [c126] [c123] [c120] [c119] [i17] [i15] [i13] [i12] [c113] [c104] [c101] [c99] [c98] [c97] [c95] [c92] [c90] [c87] [i7] [c83] [c75] [c70] [c64] [c61]
[j36] [c196] [c188] [i53] [i52] [j33] [j29] [c179] [i50] [i41] [j27] [j18] [j17] [j16] [c154] [c153] [c147] [c140] [c139] [i35] [i34] [i33] [i32] [i31] [i30] [i27] [i25] [i23] [i22] [j14] [c137] [c131] [c130] [c127] [c122] [c120] [c118] [i20] [i19] [i18] [i16] [i15] [i12] [i11] [c103] [i4] [i3] [c68] [i2]
[c205] [c204] [c202] [j36] [c191] [c186] [c185] [j34] [j29] [c179] [c176] [c172] [c170] [c165] [c164] [i41] [j27] [j22] [j21] [j20] [j19] [j17] [j16] [c154] [c153] [c149] [c142] [c139] [i35] [i34] [i33] [i32] [i27] [i25] [i22] [j14] [c137] [c132] [c130] [c128] [c127] [c122] [c120] [c118] [i19] [i18] [i16] [i15] [i12] [i11] [j10] [c117] [c113] [c111] [c110] [c103] [i4] [i3] [c83] [c82] [c77] [c68] [c65] [p1] [i2] [j3] [j2] [c44] [c43] [c42] [c39] [c37] [c31] [c29]
Håvard D. Johansen
aka: Håvard Dagenborg Johansen
aka: Håvard Dagenborg Johansen
Tor-Arne S. Nordmo
aka: Tor-Arne Schmidt Nordmo
aka: Tor-Arne Schmidt Nordmo
Pia H. Smedsrud
aka: Pia Helen Smedsrud
aka: Pia Helen Smedsrud
Vajira Thambawita
aka: Vajira Lasantha Thambawita
aka: Vajira Lasantha Thambawita
[c210] [i60] [j37] [c196] [c195] [c194] [c193] [c190] [c186] [c184] [i56] [i52] [j35] [j33] [c180] [c177] [c171] [c168] [c164] [c159] [i50] [i45] [i44] [i43] [i37] [i36] [j22] [j20] [j19] [j17] [c151] [c150] [c149] [c147] [c146] [c145] [c143] [c140] [c139] [i31] [i29] [i28] [j14] [c138] [c131] [c129] [c128] [c126] [c123] [c120] [c119] [i19] [i15] [i13] [c112] [c101] [c94] [c93] [i7] [i6] [i5] [c74] [c68] [i2]
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last updated on 2024-06-10 23:27 CEST by the dblp team
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