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2025
[j62]
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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, Deng-Ping Fan, Sravanthi Parasa, Sharib Ali, Michael A. Riegler, Pål Halvorsen, Thomas de Lange, Ulas Bagci:
Validating polyp and instrument segmentation methods in colonoscopy through Medico 2020 and MedAI 2021 Challenges. Medical Image Anal. 99: 103307 (2025)
2024
[j61]
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Birk Torpmann-Hagen, Michael A. Riegler, Pål Halvorsen, Dag Johansen:
A Robust Framework for Distributional Shift Detection Under Sample-Bias. IEEE Access 12: 59598-59611 (2024)
[j60]
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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 Ice Hockey Videos for Different Social Media Representations. IEEE Access 12: 118227-118249 (2024)
[j59]
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Pegah Salehi, Syed Zohaib Hassan, Gunn Astrid Baugerud, Martine B. Powell, Miriam S. Johnson, Dag Johansen, Saeed Shafiee Sabet, Michael A. Riegler, Pål Halvorsen:
A Theoretical and Empirical Analysis of 2D and 3D Virtual Environments in Training for Child Interview Skills. IEEE Access 12: 131842-131864 (2024)
[j58]
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Tuan L. Vo, Quan Huu Do, Thu Nguyen, Pål Halvorsen, Michael A. Riegler, Binh T. Nguyen:
The Effects of Data Imputation on Covariance and Inverse Covariance Matrix Estimation. IEEE Access 12: 134688-134701 (2024)
[c275]
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Bogdan Ionescu, Henning Müller, Ana-Maria Dragulinescu, Johannes Rückert, Asma Ben Abacha, Alba García Seco de Herrera, Louise Bloch, Raphael Brüngel, Ahmad Idrissi-Yaghir, Henning Schäfer, Cynthia Sabrina Schmidt, Tabea Margareta Grace Pakull, Hendrik Damm, Benjamin Bracke, Christoph M. Friedrich, Alexandra-Georgiana Andrei, Yuri Prokopchuk, Dzmitry Karpenka, Ahmedkhan Radzhabov, Vassili Kovalev, Cécile Macaire, Didier Schwab, Benjamin Lecouteux, Emmanuelle Esperança-Rodier, Wen-wai Yim, Yujuan Fu, Zhaoyi Sun, Meliha Yetisgen, Fei Xia, Steven Alexander Hicks, Michael A. Riegler, Vajira Thambawita, Andrea M. Storås, Pål Halvorsen, Maximilian Heinrich, Johannes Kiesel, Martin Potthast, Benno Stein:
Overview of the ImageCLEF 2024: Multimedia Retrieval in Medical Applications. CLEF (2) 2024: 140-164
[c274]
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Steven Hicks, Andrea M. Storås, Pål Halvorsen, Michael Riegler, Vajira Thambawita:
Overview of ImageCLEFmedical 2024 - Medical Visual Question Answering for Gastrointestinal Tract. CLEF (Working Notes) 2024: 1429-1436
[c273]
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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
[c272]
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Tu T. Do, Anh M. Vu, Tuan L. Vo, Hoang Thien Ly, Thu Nguyen, Steven Hicks, Pål Halvorsen, Michael Riegler, Binh T. Nguyen:
Blockwise Principal Component Analysis for monotone missing data imputation and dimensionality reduction. IJCNN 2024: 1-8
[c271]
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Cise Midoglu, Saeed Shafiee Sabet, Mehdi Houshmand Sarkhoosh, Sayed Mohammad Majidi Dorcheh, Sushant Gautam, Håkon Maric Solberg, Tomas Kupka, Pål Halvorsen:
AI-Based Sports Highlight Generation for Social Media. MHV 2024: 7-13
[c270]
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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
[c269]
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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
[c268]
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Faiga Alawad, Pål Halvorsen, Michael A. Riegler:
E2Evideo: End to End Video and Image Pre-processing and Analysis Tool. MMM (4) 2024: 258-264
[c267]
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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
[c266]
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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
[c265]
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  - conf/mmsports/BoekerSARHH24
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Matthias Boeker, Dana Swarbrick, Ulysse Côté Allard, Michael Alexander Riegler, Pål Halvorsen, Hugo Lewi Hammer:
Predictive Modelling of Muscle Fatigue in Climbing. MMSports@MM 2024: 7-15
[c264]
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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
[c263]
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Mehdi Houshmand Sarkhoosh, Sushant Gautam, Cise Midoglu, Saeed Shafiee Sabet, Thomas Torjusen, Pål Halvorsen:
The SoccerSum Dataset for Automated Detection, Segmentation, and Tracking of Objects on the Soccer Pitch. MMSys 2024: 353-359
[c262]
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Mohammad Majidi, Mehdi Houshmand Sarkhoosh, Cise Midoglu, Saeed Shafiee Sabet, Tomas Kupka, Dag Johansen, Pål Halvorsen:
SmartCrop-H: AI-Based Cropping of Ice Hockey Videos. MMSys 2024: 471-477
[c261]
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Mehdi Houshmand Sarkhoosh, Sushant Gautam, Cise Midoglu, Saeed Shafiee Sabet, Pål Halvorsen:
Multimodal AI-Based Summarization and Storytelling for Soccer on Social Media. MMSys 2024: 485-491
[c260]
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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
[d4]
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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. Zenodo, 2024
[i63]
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  - journals/corr/abs-2402-17601
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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)
[i62]
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  - journals/corr/abs-2405-07354
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Sushant Gautam, Mehdi Houshmand Sarkhoosh, Jan Held, Cise Midoglu, Anthony Cioppa, Silvio Giancola, Vajira Thambawita, Michael A. Riegler, Pål Halvorsen, Mubarak Shah:
SoccerNet-Echoes: A Soccer Game Audio Commentary Dataset. CoRR abs/2405.07354 (2024)
[i61]
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  - journals/corr/abs-2406-01273
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Aleksander Theo Strand, Sushant Gautam, Cise Midoglu, Pål Halvorsen:
SoccerRAG: Multimodal Soccer Information Retrieval via Natural Queries. CoRR abs/2406.01273 (2024)
[i60]
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  - journals/corr/abs-2406-01280
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Aleksander Theo Strand, Sushant Gautam, Cise Midoglu, Pål Halvorsen:
Demo: Soccer Information Retrieval via Natural Queries using SoccerRAG. CoRR abs/2406.01280 (2024)
[i59]
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  - journals/corr/abs-2407-00411
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Tuan L. Vo, Thu Nguyen, Hugo L. Hammer, Michael A. Riegler, Pål Halvorsen:
Explainability of Machine Learning Models under Missing Data. CoRR abs/2407.00411 (2024)
[i58]
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  - journals/corr/abs-2407-16076
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Håkon Maric Solberg, Mehdi Houshmand Sarkhoosh, Sushant Gautam, Saeed Shafiee Sabet, Pål Halvorsen, Cise Midoglu:
PLayerTV: Advanced Player Tracking and Identification for Automatic Soccer Highlight Clips. CoRR abs/2407.16076 (2024)
[i57]
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  - journals/corr/abs-2409-00045
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Debesh Jha, Nikhil Kumar Tomar, Vanshali Sharma, Quoc-Huy Trinh, Koushik Biswas, Hongyi Pan, Ritika Kumari Jha, Gorkem Durak, Alexander Hann, Jonas Varkey, Hang Viet Dao, Long Van Dao, Binh Phuc Nguyen, Khanh Cong Pham, Quang Trung Tran, Nikolaos Papachrysos, Brandon Rieders, Peter Thelin Schmidt, Enrik Geissler, Tyler M. Berzin, Pål Halvorsen, Michael A. Riegler, Thomas de Lange, Ulas Bagci:
PolypDB: A Curated Multi-Center Dataset for Development of AI Algorithms in Colonoscopy. CoRR abs/2409.00045 (2024)
[i56]
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  - journals/corr/abs-2409-01437
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Sushant Gautam, Andrea M. Storås, Cise Midoglu, Steven Alexander Hicks, Vajira Thambawita, Pål Halvorsen, Michael A. Riegler:
Kvasir-VQA: A Text-Image Pair GI Tract Dataset. CoRR abs/2409.01437 (2024)
2023
[j57]
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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)
[j56]
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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)
[j55]
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  - journals/sensors/MonakhovTHR23
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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)
[j54]
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  - journals/tnn/TomarJRJJRHA23
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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)
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  - conf/aciids/NguyenLRHH23
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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
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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
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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
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  - conf/clef/IonescuMDYASAYRHFBBISHRTSHPSJACKRPSCDD23
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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
[c255]
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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
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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
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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
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Thu Nguyen, Rabindra Khadka, Nhan Phan, Anis Yazidi, Pål Halvorsen, Michael A. Riegler:
Combining datasets to improve model fitting. IJCNN 2023: 1-9
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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
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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
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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
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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
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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
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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
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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
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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)
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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)
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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)
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  - journals/corr/abs-2305-06042
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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)
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  - journals/corr/abs-2305-06044
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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)
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  - journals/corr/abs-2307-08140
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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)
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  - journals/corr/abs-2307-16262
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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)
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Mehdi Houshmand Sarkhoosh, Sayed Mohammad Majidi Dorcheh, Sushant Gautam, Cise Midoglu, Saeed Shafiee Sabet, Pål Halvorsen:
Soccer on Social Media. CoRR abs/2310.12328 (2023)
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  - journals/corr/abs-2311-16877
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Thu Nguyen, Pål Halvorsen, Michael A. Riegler:
Imputation using training labels and classification via label imputation. CoRR abs/2311.16877 (2023)
2022
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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)
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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)
[j51]
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  - journals/cbm/KhadkaJHTRAH22
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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)
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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)
[j49]
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  - journals/sensors/HassanAHHACR22
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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)
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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)
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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
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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
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Felicia Ly Jacobsen, Steven Alexander Hicks, Pål Halvorsen, Michael A. Riegler:
Estimating Predictive Uncertainty in Gastrointestinal Polyp Segmentation. CBMS 2022: 44-49
[c242]
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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
[c241]
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  - conf/gamesys/HassanSRHBJL0LG22
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Syed Zohaib Hassan, Pegah Salehi, Ragnhild Klingenberg Røed, Pål Halvorsen, Gunn Astrid Baugerud, Miriam Sinkerud Johnson, Pierre Lison, Michael Riegler, Michael E. Lamb, Carsten Griwodz, Saeed Shafiee Sabet:
Towards an AI-driven talking avatar in virtual reality for investigative interviews of children. GameSys@MMSys 2022: 9-15
[c240]
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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
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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
[c238]
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  - conf/ism/TorpmannHagenTRHG22
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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
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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
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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
[c235]
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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
[c234]
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Birk Torpmann-Hagen, Pål Halvorsen, Michael Riegler, Dag Johansen:
Addressing Generalization Failure in Deep Detection Models for Fishing Trawler Video Analytics. MediaEval 2022
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Cise Midoglu, Mariana Avelino, Shri Hari Gopalakrishnan, Stefan Pham, Pål Halvorsen:
Multimedia streaming analytics: quo vadis? MHV 2022: 62-69
[c232]
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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
[c231]
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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
[c230]
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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
[c229]
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  - conf/mmsys/NordmoOJHTJHRJ22
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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
[c228]
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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
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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
[c226]
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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
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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
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Sushant Gautam, Cise Midoglu, Saeed Shafiee Sabet, Dinesh Baniya Kshatri, Pål Halvorsen:
Soccer Game Summarization using Audio Commentary, Metadata, and Captions. NarSUM@MM 2022: 13-22
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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
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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
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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
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Cise Midoglu, Matthias Boeker, Andreas Kjæreng Winther, Svein Arne Pettersen, Dag Johansen, Michael Riegler, Pål Halvorsen, Steven Hicks:
SoccerMon: A Large-Scale Multivariate Soccer Athlete Health, Performance, and Position Monitoring Dataset. Zenodo, 2022
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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. Zenodo, 2022
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Cise Midoglu, Steven Alexander Hicks, Vajira Thambawita, Tomas Kupka, Pål Halvorsen:
MMSys'22 Grand Challenge on AI-based Video Production for Soccer. CoRR abs/2202.01031 (2022)
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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)
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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)
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  - journals/corr/abs-2204-00617
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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)
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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)
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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)
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Vladimir Monakhov, Vajira Thambawita, Pål Halvorsen, Michael A. Riegler:
Grid HTM: Hierarchical Temporal Memory for Anomaly Detection in Videos. CoRR abs/2205.15407 (2022)
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  - journals/corr/abs-2205-15413
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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)
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  - journals/corr/abs-2205-15428
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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)
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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)
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  - journals/corr/abs-2207-13583
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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)
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  - journals/corr/abs-2207-14534
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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)
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  - journals/corr/abs-2210-05165
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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)
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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)
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  - journals/corr/abs-2212-02842
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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
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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)
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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)
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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)
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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)
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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)
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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)
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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)
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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)
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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
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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
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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
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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
[c216]
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Vajira Thambawita, Steven Alexander Hicks, Pål Halvorsen, Michael A. Riegler:
DivergentNets:Medical Image Segmentation by Network Ensemble. EndoCV@ISBI 2021: 27-38
[c215]
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Nikhil Kumar Tomar, Nabil Ibtehaz, Debesh Jha, Pål Halvorsen, Sharib Ali:
Improving Generalizability in Polyp Segmentation using Ensemble Convolutional Neural Network. EndoCV@ISBI 2021: 49-58
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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
[c213]
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  - conf/mediaeval/HassanARHCHA21
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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
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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
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Mathias Lux, Michael Riegler, Steven Hicks, Duc-Tien Dang-Nguyen, Kristine Jørgensen, Vajira Thambawita, Pål Halvorsen:
Emotional Mario Task at MediaEval 2021. MediaEval 2021
[c210]
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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
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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
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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
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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
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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
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Steven Alexander Hicks, Andrea Stautland, Ole Bernt Fasmer, Wenche Førland, Hugo Lewi Hammer, Pål Halvorsen, Kristin Mjeldheim, Ketil Joachim Oedegaard, Berge Osnes, Vigdis Elin Giæver Syrstad, Michael Alexander Riegler, Petter Jakobsen:
HYPERAKTIV: An Activity Dataset from Patients with Attention-Deficit/Hyperactivity Disorder (ADHD). MMSys 2021: 314-319
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Sharib Ali, Noha M. Ghatwary, Debesh Jha, Pål Halvorsen:
Proceedings of the 3rd International Workshop and Challenge on Computer Vision in Endoscopy (EndoCV 2021) co-located with with the 18th IEEE International Symposium on Biomedical Imaging (ISBI 2021), Nice, France, April 13, 2021. CEUR Workshop Proceedings 2886, CEUR-WS.org 2021 [contents]
[i31]
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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)
[i30]
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  - journals/corr/abs-2103-17235
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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)
[i29]
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  - journals/corr/abs-2104-11138
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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)
[i28]
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  - journals/corr/abs-2105-07451
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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)
[i27]
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  - journals/corr/abs-2106-03223
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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)
[i26]
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  - journals/corr/abs-2106-04463
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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)
[i25]
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  - journals/corr/abs-2107-00283
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Vajira Thambawita, Steven Alexander Hicks, Pål Halvorsen, Michael A. Riegler:
DivergentNets: Medical Image Segmentation by Network Ensemble. CoRR abs/2107.00283 (2021)
[i24]
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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)
[i23]
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  - journals/corr/abs-2107-02319
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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)
[i22]
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  - journals/corr/abs-2107-05297
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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)
[i21]
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  - journals/corr/abs-2107-12435
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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)
[i20]
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  - journals/corr/abs-2109-01658
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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)
[i19]
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  - journals/corr/abs-2110-10965
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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)
[i18]
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  - journals/corr/abs-2111-10618
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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)
[i17]
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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
[j39]
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  - journals/cluster/MarkussenKBSSRG20
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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)
[j38]
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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)
[j37]
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Jonas Markussen, Lars Bjørlykke Kristiansen, Pål Halvorsen, Halvor Kielland-Gyrud, Håkon Kvale Stensland, Carsten Griwodz:
SmartIO: Zero-overhead Device Sharing through PCIe Networking. ACM Trans. Comput. Syst. 38(1-2): 2:1-2:78 (2020)
[c204]
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  - conf/cbms/JakobsenGSOBTHH20
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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
[c203]
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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
[c202]
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  - conf/clef/IonescuMPADHDKL20
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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
[c201]
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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
[c200]
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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
[c199]
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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
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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
[c197]
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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
[c196]
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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
[c195]
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  - conf/ism/NedrejordTHHR20
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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
[c194]
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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
[c193]
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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
[c192]
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Vajira Thambawita, Steven Hicks, Pål Halvorsen, Michael A. Riegler:
Pyramid-Focus-Augmentation: Medical Image Segmentation with Step-Wise Focus. MediaEval 2020
[c191]
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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
[c190]
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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
[c189]
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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
[c188]
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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
[c187]
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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
[i16]
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  - journals/corr/abs-2003-10299
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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)
[i15]
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  - journals/corr/abs-2005-03912
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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)
[i14]
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  - journals/corr/abs-2006-04868
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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)
[i13]
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  - journals/corr/abs-2009-03051
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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)
[i12]
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  - journals/corr/abs-2011-07631
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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)
[i11]
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  - journals/corr/abs-2011-08065
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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)
[i10]
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  - journals/corr/abs-2012-07430
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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)
[i9]
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  - journals/corr/abs-2012-15244
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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)
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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

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What is the meaning of the colors in the publication lists?

2019
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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)
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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)
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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)
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  - conf/cbmi/AndreassenJJBPR19
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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
[c185]
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  - conf/cbmi/BorgliSHR19
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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
[c184]
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  - conf/cbmi/NordskogHHSHJR19
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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
[c183]
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  - conf/cbmi/ThambawitaHRH19
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Vajira Thambawita, Hugo Lewi Hammer, Michael Riegler, Pål Halvorsen:
GANEx: A complete pipeline of training, inference and benchmarking GAN experiments. CBMI 2019: 1-4
[c182]
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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
[c181]
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  - conf/cbms/HenriksenJSJRH19
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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
[c180]
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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
[c179]
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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
[c178]
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  - conf/ismict/BorgliSRH19
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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
[c177]
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  - conf/ismict/KirkerodBTHRH19
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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
[c176]
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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
[c175]
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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
[c174]
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Steven Alexander Hicks, Trine B. Haugen, Pål Halvorsen, Michael Riegler:
Using Deep Learning to Predict Motility and Morphology of Human Sperm. MediaEval 2019
[c173]
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Mathias Lux, Michael Riegler, Duc-Tien Dang-Nguyen, Johanna Pirker, Martin Potthast, Pål Halvorsen:
GameStory Task at MediaEval 2019. MediaEval 2019
[c172]
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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
[c171]
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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
[c170]
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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
[c169]
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  - conf/mm/FrognerNHHGTR19
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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
[c168]
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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
[c167]
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Pål Halvorsen, Michael Alexander Riegler, Klaus Schoeffmann:
Medical Multimedia Systems and Applications. ACM Multimedia 2019: 2711-2713
[c166]
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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
[c165]
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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
[p3]
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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
[i7]
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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)
[i6]
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  - journals/corr/abs-1910-13327
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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)
[i5]
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  - journals/corr/abs-1911-03086
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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)
[i4]
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  - journals/corr/abs-1911-03100
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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)
[i3]
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  - journals/corr/abs-1911-07067
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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)
[i2]
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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
[j33]
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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)
[c164]
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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
[c163]
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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
[c162]
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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
[c161]
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  - conf/dais/Velazquez-Garcia18
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Francisco Javier Velázquez-García, Pål Halvorsen, Håkon Kvale Stensland, Frank Eliassen:
Autonomic Adaptation of Multimedia Content Adhering to Application Mobility. DAIS 2018: 153-168
[c160]
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Francisco Javier Velázquez-García, Pål Halvorsen, Håkon Kvale Stensland, Frank Eliassen:
Dynamic Adaptation of Multimedia Presentations for Videoconferencing in Application Mobility. ICME 2018: 1-6
[c159]
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Jonas Markussen, Lars Bjørlykke Kristiansen, Håkon Kvale Stensland, Friedrich Seifert, Carsten Griwodz, Pål Halvorsen:
Flexible Device Sharing in PCIe Clusters using Device Lending. ICPP Workshops 2018: 48:1-48:10
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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
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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
[c156]
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Rune Johan Borgli, Pål Halvorsen, Michael Riegler, Håkon Kvale Stensland:
Automatic Hyperparameter Optimization in Keras for the MediaEval 2018 Medico Multimedia Task. MediaEval 2018
[c155]
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Steven Alexander Hicks, Pia H. Smedsrud, Pål Halvorsen, Michael Riegler:
Deep Learning Based Disease Detection Using Domain Specific Transfer Learning. MediaEval 2018
[c154]
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Mathias Kirkerød, Vajira Thambawita, Michael Riegler, Pål Halvorsen:
Using Preprocessing as a Tool in Medical Image Detection. MediaEval 2018
[c153]
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Mathias Lux, Michael Riegler, Duc-Tien Dang-Nguyen, Marcus Larson, Martin Potthast, Pål Halvorsen:
GameStory Task at MediaEval 2018. MediaEval 2018
[c152]
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Mathias Lux, Michael Riegler, Duc-Tien Dang-Nguyen, Marcus Larson, Martin Potthast, Pål Halvorsen:
Team ORG @ GameStory Task 2018. MediaEval 2018
[c151]
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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
[c150]
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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
[c149]
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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
[c148]
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Michael Steiner, Mathias Lux, Pål Halvorsen:
The 2018 Medico Multimedia Task Submission of Team NOAT Using Neural Network Features and Search-based Classification. MediaEval 2018
[c147]
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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
[c146]
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Michael Riegler, Pål Halvorsen, Bernd Münzer, Klaus Schoeffmann:
The Importance of Medical Multimedia. ACM Multimedia 2018: 2106-2108
[c145]
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Konstantin Pogorelov, Zeno Albisser, Olga Ostroukhova, Mathias Lux, Dag Johansen, Pål Halvorsen, Michael Riegler:
Opensea: open search based classification tool. MMSys 2018: 363-368
[c144]
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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
[c143]
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Carsten Griwodz, Lilian Calvet, Pål Halvorsen:
Popsift: a faithful SIFT implementation for real-time applications. MMSys 2018: 415-420
[c142]
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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
[p2]
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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
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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
[j32]
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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)
[j31]
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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)
[c141]
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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
[c140]
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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
[c139]
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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
[c138]
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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
[c137]
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Konstantin Pogorelov, Michael Riegler, Pål Halvorsen, Carsten Griwodz:
ClusterTag: Interactive Visualization, Clustering and Tagging Tool for Big Image Collections. ICMR 2017: 112-116
[c136]
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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
[c135]
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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
[c134]
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Mathias Lux, Michael Riegler, Pål Halvorsen, Glenn Macstravic:
LireSolr: A Visual Information Retrieval Server. ICMR 2017: 466-469
[c133]
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Klaus Schoeffmann, Bernd Münzer, Michael Riegler, Pål Halvorsen:
Medical Multimedia Information Systems (MMIS). ACM Multimedia 2017: 1957-1958
[c132]
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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
[c131]
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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
[c130]
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Kristoffer Robin Stokke, Håkon Kvale Stensland, Carsten Griwodz, Pål Halvorsen:
Load Balancing of Multimedia Workloads for Energy Efficiency on the Tegra K1 Multicore Architecture. MMSys 2017: 124-135
[c129]
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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
[c128]
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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
2016
[j30]
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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)
[c127]
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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
[c126]
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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
[c125]
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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
[c124]
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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
[c123]
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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
[c122]
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Kristoffer Robin Stokke, Håkon Kvale Stensland, Pål Halvorsen, Carsten Griwodz:
High-Precision Power Modelling of the Tegra K1 Variable SMP Processor Architecture. MCSoC 2016: 193-200
[c121]
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Konstantin Pogorelov, Michael Riegler, Pål Halvorsen, Carsten Griwodz:
Simula @ MediaEval 2016 Context of Experience Task. MediaEval 2016
[c120]
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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
[c119]
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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
[c118]
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Kristian Skarseth, Henrik Bjørlo, Pål Halvorsen, Michael Riegler, Carsten Griwodz:
OpenVQ: A Video Quality Assessment Toolkit. ACM Multimedia 2016: 1197-1200
[c117]
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Kristoffer Robin Stokke, Håkon Kvale Stensland, Carsten Griwodz, Pål Halvorsen:
A high-precision, hybrid GPU, CPU and RAM power model for generic multimedia workloads. MMSys 2016: 14:1-14:12
[c116]
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Deepak Dwarakanath, Carsten Griwodz, Pål Halvorsen:
Robustness of 3D point positions to camera baselines in markerless AR systems. MMSys 2016: 21:1-21:12
[c115]
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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
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Mathias Lux, Michael Riegler, Pål Halvorsen, Konstantin Pogorelov, Nektarios Anagnostopoulos:
LIRE: open source visual information retrieval. MMSys 2016: 30:1-30:4
[c113]
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Milan Loviska, Otto Krause, Herman A. Engelbrecht, Jason B. Nel, Gregor Schiele, Alwyn Burger, Stephan Schmeißer, Christopher Cichiwskyj, Lilian Calvet, Carsten Griwodz, Pål Halvorsen:
Immersed gaming in Minecraft. MMSys 2016: 32:1-32:4
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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
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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
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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
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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
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Qi Han, Pål Halvorsen:
Proceedings of the 8th International Workshop on Mobile Video, MoVid@MMSys 2016, Klagenfurt, Austria, May 13, 2016. ACM 2016, ISBN 978-1-4503-4357-2 [contents]
2015
[j29]
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Ragnar Langseth, Vamsidhar Reddy Gaddam, Håkon Kvale Stensland, Carsten Griwodz, Pål Halvorsen, Dag Johansen:
An Experimental Evaluation of Debayering Algorithms on GPUs for Recording Panoramic Video in Real-Time. Int. J. Multim. Data Eng. Manag. 6(3): 1-16 (2015)
[j28]
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Håkon Kvale Stensland, Martin Alexander Wilhelmsen, Vamsidhar Reddy Gaddam, Asgeir Mortensen, Ragnar Langseth, Carsten Griwodz, Pål Halvorsen:
Using a Commodity Hardware Video Encoder for Interactive Applications. Int. J. Multim. Data Eng. Manag. 6(3): 17-31 (2015)
[j27]
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Ragnhild Eg, Carsten Griwodz, Pål Halvorsen, Dawn M. Behne:
Audiovisual robustness: exploring perceptual tolerance to asynchrony and quality distortion. Multim. Tools Appl. 74(2): 345-365 (2015)
[j26]
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Dilip Kumar Krishnappa, Michael Zink, Carsten Griwodz, Pål Halvorsen:
Cache-Centric Video Recommendation: An Approach to Improve the Efficiency of YouTube Caches. ACM Trans. Multim. Comput. Commun. Appl. 11(4): 48:1-48:20 (2015)
[j25]
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Vamsidhar Reddy Gaddam, Ragnhild Eg, Ragnar Langseth, Carsten Griwodz, Pål Halvorsen:
The Cameraman Operating My Virtual Camera is Artificial: Can the Machine Be as Good as a Human? ACM Trans. Multim. Comput. Commun. Appl. 11(4): 56:1-56:20 (2015)
[c108]
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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
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Deepak Dwarakanath, Carsten Griwodz, Pål Halvorsen, Jacob Lildballe:
Online Re-calibration for Robust 3D Measurement Using Single Camera- PantoInspect Train Monitoring System. ICVS 2015: 498-510
[c106]
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Bendik R. Opstad, Jonas Markussen, Iffat Ahmed, Andreas Petlund, Carsten Griwodz, Pål Halvorsen:
Latency and fairness trade-off for thin streams using redundant data bundling in TCP. LCN 2015: 287-294
[c105]
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Kristoffer Robin Stokke, Håkon Kvale Stensland, Pål Halvorsen, Carsten Griwodz:
Why Race-to-Finish is Energy-Inefficient for Continuous Multimedia Workloads. MCSoC 2015: 57-64
[c104]
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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
[c103]
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Bård Winther, Michael Riegler, Lilian Calvet, Carsten Griwodz, Pål Halvorsen:
Why Design Matters: Crowdsourcing of Complex Tasks. CrowdMM@ACM Multimedia 2015: 27-32
[c102]
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Kristoffer Robin Stokke, Håkon Kvale Stensland, Carsten Griwodz, Pål Halvorsen:
Energy efficient continuous multimedia processing using the Tegra K1 mobile SoC. MoVid@MMSys 2015: 15-16
[c101]
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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
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Kristoffer Robin Stokke, Håkon Kvale Stensland, Carsten Griwodz, Pål Halvorsen:
Energy efficient video encoding using the tegra K1 mobile processor. MMSys 2015: 81-84
[c99]
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Vamsidhar Reddy Gaddam, Ragnar Langseth, Håkon Kvale Stensland, Carsten Griwodz, Pål Halvorsen, Dag Johansen:
Scaling virtual camera services to a large number of users. MMSys 2015: 93-96
[c98]
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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
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Preben N. Olsen, Martin Nyhus, Pål Halvorsen, Carsten Griwodz:
A logical memory model for scaling parallel multimedia workloads. NOSSDAV 2015: 49-54
[c96]
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Vamsidhar Reddy Gaddam, Hoang Bao Ngo, Ragnar Langseth, Carsten Griwodz, Dag Johansen, Pål Halvorsen:
Tiling of panorama video for interactive virtual cameras: Overheads and potential bandwidth requirement reduction. PCS 2015: 204-209
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Pål Halvorsen, Nikil D. Dutt:
Proceedings of the 7th ACM International Workshop on Mobile Video, MoVid 2015, Portland, OR, USA, March 18-20, 2015. ACM 2015, ISBN 978-1-4503-3353-5 [contents]
2014
[j24]
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Kristian Evensen, Tomas Kupka, Haakon Riiser, Pengpeng Ni, Ragnhild Eg, Carsten Griwodz, Pål Halvorsen:
Adaptive Media Streaming to Mobile Devices: Challenges, Enhancements, and Recommendations. Adv. Multim. 2014: 805852:1-805852:21 (2014)
[j23]
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Håkon Kvale Stensland, Vamsidhar Reddy Gaddam, Marius Tennøe, Espen Helgedagsrud, Mikkel Næss, Henrik Kjus Alstad, Carsten Griwodz, Pål Halvorsen, Dag Johansen:
Processing Panorama Video in Real-time. Int. J. Semantic Comput. 8(2): 209-228 (2014)
[j22]
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Zeljko Vrba, Pål Halvorsen, Carsten Griwodz:
A correction to Andersson's fusion tree construction. Theor. Comput. Sci. 520: 130-132 (2014)
[j21]
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Roger Zimmermann, László Böszörményi, Pål Halvorsen:
Introduction to the special issue of best papers of ACM MMSys 2013 and ACM NOSSDAV 2013. ACM Trans. Multim. Comput. Commun. Appl. 10(1s): 9:1-9:2 (2014)
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Håkon Kvale Stensland, Vamsidhar Reddy Gaddam, Marius Tennøe, Espen Helgedagsrud, Mikkel Næss, Henrik Kjus Alstad, Asgeir Mortensen, Ragnar Langseth, Sigurd Ljødal, Øystein Landsverk, Carsten Griwodz, Pål Halvorsen, Magnus Stenhaug, Dag Johansen:
Bagadus: An integrated real-time system for soccer analytics. ACM Trans. Multim. Comput. Commun. Appl. 10(1s): 14:1-14:21 (2014)
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Vamsidhar Reddy Gaddam, Carsten Griwodz, Pål Halvorsen:
Automatic exposure for panoramic systems in uncontrolled lighting conditions: a football stadium case study. ERVR 2014: 90120C
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Iffat Ahmed, Leonardo Badia, Andreas Petlund, Carsten Griwodz, Pål Halvorsen:
Analysis of SR ARQ delays using data-bundling over Markov channels. ISCC 2014: 1-6
[c93]
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Ragnar Langseth, Vamsidhar Reddy Gaddam, Håkon Kvale Stensland, Carsten Griwodz, Pål Halvorsen:
An Evaluation of Debayering Algorithms on GPU for Real-Time Panoramic Video Recording. ISM 2014: 110-115
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Martin Alexander Wilhelmsen, Håkon Kvale Stensland, Vamsidhar Reddy Gaddam, Asgeir Mortensen, Ragnar Langseth, Carsten Griwodz, Pål Halvorsen:
Using a Commodity Hardware Video Encoder for Interactive Video Streaming. ISM 2014: 251-254
[c91]
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Michael Riegler, Preben N. Olsen, Pål Halvorsen:
Work Like a Bee - Taking Advantage of Diligent Crowdsourcing Workers. MediaEval 2014
[c90]
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Mario Guggenberger, Michael Riegler, Mathias Lux, Pål Halvorsen:
Event Understanding in Endoscopic Surgery Videos. HuEvent@MM 2014: 17-22
[c89]
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Vamsidhar Reddy Gaddam, Ragnar Langseth, Håkon Kvale Stensland, Carsten Griwodz, Pål Halvorsen, Øystein Landsverk:
Automatic Real-Time Zooming and Panning on Salient Objects from a Panoramic Video. ACM Multimedia 2014: 725-726
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Lorenz Kellerer, Vamsidhar Reddy Gaddam, Ragnar Langseth, Håkon Kvale Stensland, Carsten Griwodz, Dag Johansen, Pål Halvorsen:
Real-Time HDR Panorama Video. ACM Multimedia 2014: 1205-1208
[c87]
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Svein Arne Pettersen, Dag Johansen, Håvard D. Johansen, Vegard Berg-Johansen, Vamsidhar Reddy Gaddam, Asgeir Mortensen, Ragnar Langseth, Carsten Griwodz, Håkon Kvale Stensland, Pål Halvorsen:
Soccer video and player position dataset. MMSys 2014: 18-23
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Vamsidhar Reddy Gaddam, Ragnar Langseth, Håkon Kvale Stensland, Pierre Gurdjos, Vincent Charvillat, Carsten Griwodz, Dag Johansen, Pål Halvorsen:
Be your own cameraman: real-time support for zooming and panning into stored and live panoramic video. MMSys 2014: 168-171
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Asgeir Mortensen, Vamsidhar Reddy Gaddam, Håkon Kvale Stensland, Carsten Griwodz, Dag Johansen, Pål Halvorsen:
Automatic event extraction and video summaries from soccer games. MMSys 2014: 176-179
[c84]
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Vamsidhar Reddy Gaddam, Ragnar Langseth, Sigurd Ljødal, Pierre Gurdjos, Vincent Charvillat, Carsten Griwodz, Pål Halvorsen:
Interactive Zoom and Panning from Live Panoramic Video. NOSSDAV 2014: 19
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Deepak Dwarakanath, Carsten Griwodz, Pål Halvorsen, Jacob Lildballe:
Study the Effects of Camera Misalignment on 3D Measurements for Efficient Design of Vision-Based Inspection Systems. SETN 2014: 150-163
2013
[j19]
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Zeljko Vrba, Pål Halvorsen, Carsten Griwodz, Paul B. Beskow, Håvard Espeland, Dag Johansen:
The Nornir run-time system for parallel programs using Kahn process networks on multi-core machines - a flexible alternative to MapReduce. J. Supercomput. 63(1): 191-217 (2013)
[c82]
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Tomas Kupka, Carsten Griwodz, Pål Halvorsen, Dag Johansen, Torgeir Hovden:
Analysis of a real-world HTTP segment streaming case. EuroITV 2013: 75-84
[c81]
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Kjetil Raaen, Andreas Petlund, Pål Halvorsen:
Is Today's Public Cloud Suited to Deploy Hardcore Realtime Services? - A CPU Perspective. Euro-Par Workshops 2013: 343-352
[c80]
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Håvard D. Johansen, Svein Arne Pettersen, Pål Halvorsen, Dag Johansen:
Combining Video and Player Telemetry for Evidence-based Decisions in Soccer. icSPORTS 2013: 197-205
[c79]
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Marius Tennøe, Espen Helgedagsrud, Mikkel Næss, Henrik Kjus Alstad, Håkon Kvale Stensland, Vamsidhar Reddy Gaddam, Dag Johansen, Carsten Griwodz, Pål Halvorsen:
Efficient Implementation and Processing of a Real-Time Panorama Video Pipeline. ISM 2013: 76-83
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Pål Halvorsen, Simen Saegrov, Asgeir Mortensen, David K. C. Kristensen, Alexander Eichhorn, Magnus Stenhaug, Stian Dahl, Håkon Kvale Stensland, Vamsidhar Reddy Gaddam, Carsten Griwodz, Dag Johansen:
Bagadus: an integrated system for arena sports analytics: a soccer case study. MMSys 2013: 48-59
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Haakon Riiser, Paul Vigmostad, Carsten Griwodz, Pål Halvorsen:
Commute path bandwidth traces from 3G networks: analysis and applications. MMSys 2013: 114-118
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Dilip Kumar Krishnappa, Michael Zink, Carsten Griwodz, Pål Halvorsen:
Cache-centric video recommendation: an approach to improve the efficiency of YouTube caches. MMSys 2013: 261-270
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László Böszörményi, Pål Halvorsen:
Proceeding of the 23rd ACM Workshop on Network and Operating Systems Support for Digital Audio and Video, NOSSDAV 1013, Oslo, Norway, February 27, 2013. ACM 2013, ISBN 978-1-4503-1892-1 [contents]
2012
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Håvard Espeland, Håkon Kvale Stensland, Dag Haavi Finstad, Pål Halvorsen:
Reducing Processing Demands for Multi-Rate Video Encoding: Implementation and Evaluation. Int. J. Multim. Data Eng. Manag. 3(2): 1-19 (2012)
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Dag Johansen, Pål Halvorsen, Håvard D. Johansen, Håkon Riiser, Cathal Gurrin, Bjørn Olstad, Carsten Griwodz, Åge Kvalnes, Joseph Hurley, Tomas Kupka:
Search-based composition, streaming and playback of video archive content. Multim. Tools Appl. 61(2): 419-445 (2012)
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Kristian Evensen, Dominik Kaspar, Carsten Griwodz, Pål Halvorsen, Audun Fosselie Hansen, Paal Engelstad:
Using bandwidth aggregation to improve the performance of quality-adaptive streaming. Signal Process. Image Commun. 27(4): 312-328 (2012)
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Haakon Riiser, Tore Endestad, Paul Vigmostad, Carsten Griwodz, Pål Halvorsen:
Video streaming using a location-based bandwidth-lookup service for bitrate planning. ACM Trans. Multim. Comput. Commun. Appl. 8(3): 24:1-24:19 (2012)
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Daniel Gatica-Perez, Gang Hua, Wei Tsang Ooi, Pål Halvorsen:
Introduction to the special section of best papers of ACM multimedia 2011. ACM Trans. Multim. Comput. Commun. Appl. 8(S3): 38:1-38:2 (2012)
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Deepak Dwarakanath, Alexander Eichhorn, Carsten Griwodz, Pål Halvorsen:
Faster and more accurate feature-based calibration for widely spaced camera pairs. DICTAP 2012: 87-92
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Simen Saegrov, Alexander Eichhorn, Jorgen Emerslund, Håkon Kvale Stensland, Carsten Griwodz, Dag Johansen, Pål Halvorsen:
Demo: Bagadus an integrated system for soccer analysis. ICDSC 2012: 1-2
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Håvard Espeland, Preben N. Olsen, Pål Halvorsen, Carsten Griwodz:
Low-Level Scheduling Implications for Data-Intensive Cyclic Workloads on Modern Microarchitectures. ICPP Workshops 2012: 332-339
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Kjetil Raaen, Håvard Espeland, Håkon Kvale Stensland, Andreas Petlund, Pål Halvorsen, Carsten Griwodz:
LEARS: A Lockless, Relaxed-Atomicity State Model for Parallel Execution of a Game Server Partition. ICPP Workshops 2012: 382-389
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Deepak Dwarakanath, Alexander Eichhorn, Pål Halvorsen, Carsten Griwodz:
Evaluating performance of feature extraction methods for practical 3D imaging systems. IVCNZ 2012: 250-255
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Tomas Kupka, Pål Halvorsen, Carsten Griwodz:
Performance of on-off traffic stemming from live adaptive segmented HTTP video streaming. LCN 2012: 401-409
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Andreas Petlund, Pål Halvorsen, Pål Frogner Hansen, Torbjörn Lindgren, Rui Casais, Carsten Griwodz:
Network traffic from Anarchy Online: analysis, statistics and applications: a server-side traffic trace. MMSys 2012: 95-100
2011
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Haakon Riiser, Paul Vigmostad, Carsten Griwodz, Pål Halvorsen:
Bitrate and video quality planning for mobile streaming scenarios using a GPS-based bandwidth lookup service. ICME 2011: 1-6
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Håvard Espeland, Paul B. Beskow, Håkon Kvale Stensland, Preben N. Olsen, Ståle Kristoffersen, Carsten Griwodz, Pål Halvorsen:
P2G: A Framework for Distributed Real-Time Processing of Multimedia Data. ICPP Workshops 2011: 416-426
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Kristian Evensen, Dominik Kaspar, Audun Fosselie Hansen, Carsten Griwodz, Pål Halvorsen:
Using multiple links to increase the performance of bandwidth-intensive UDP-based applications. ISCC 2011: 1117-1122
[c65]
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Dag Haavi Finstad, Håkon Kvale Stensland, Håvard Espeland, Pål Halvorsen:
Improved Multi-Rate Video Encoding. ISM 2011: 293-300
[c64]
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Tomas Kupka, Pål Halvorsen, Carsten Griwodz:
An evaluation of live adaptive HTTP segment streaming request strategies. LCN 2011: 604-612
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Pengpeng Ni, Ragnhild Eg, Alexander Eichhorn, Carsten Griwodz, Pål Halvorsen:
Flicker effects in adaptive video streaming to handheld devices. ACM Multimedia 2011: 463-472
[c62]
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Paul B. Beskow, Håkon Kvale Stensland, Håvard Espeland, Espen A. Kristiansen, Preben N. Olsen, Ståle Kristoffersen, Carsten Griwodz, Pål Halvorsen:
Processing of multimedia data using the P2G framework. ACM Multimedia 2011: 819-820
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Kristian Evensen, Dominik Kaspar, Carsten Griwodz, Pål Halvorsen, Audun Fosselie Hansen, Paal Engelstad:
Improving the performance of quality-adaptive video streaming over multiple heterogeneous access networks. MMSys 2011: 57-68
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Kristian Evensen, Andreas Petlund, Haakon Riiser, Paul Vigmostad, Dominik Kaspar, Carsten Griwodz, Pål Halvorsen:
Demo: quality-adaptive video streaming with dynamic bandwidth aggregation on roaming, multi-homed clients. MobiSys 2011: 355-356
[c59]
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Kjetil Raaen, Håvard Espeland, Håkon Kvale Stensland, Andreas Petlund, Pål Halvorsen, Carsten Griwodz:
A demonstration of a lockless, relaxed atomicity state parallel game server (LEARS). NETGAMES 2011: 1-3
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Kristian Evensen, Andreas Petlund, Haakon Riiser, Paul Vigmostad, Dominik Kaspar, Carsten Griwodz, Pål Halvorsen:
Mobile video streaming using location-based network prediction and transparent handover. NOSSDAV 2011: 21-26
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Pengpeng Ni, Ragnhild Eg, Alexander Eichhorn, Carsten Griwodz, Pål Halvorsen:
Spatial flicker effect in video scaling. QoMEX 2011: 55-60
2010
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Frank T. Johnsen, Trude Hafsøe, Anders Eggen, Carsten Griwodz, Pål Halvorsen:
Web services discovery across heterogeneous military networks. IEEE Commun. Mag. 48(10): 84-90 (2010)
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Paul B. Beskow, Andreas Petlund, Geir A. Erikstad, Carsten Griwodz, Pål Halvorsen:
Reducing game latency by migration, core-selection and TCP modifications. Int. J. Adv. Media Commun. 4(4): 343-363 (2010)
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Pengpeng Ni, Alexander Eichhorn, Carsten Griwodz, Pål Halvorsen:
Frequent layer switching for perceived quality improvements of coarse-grained scalable video. Multim. Syst. 16(3): 171-182 (2010)
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Åge Kvalnes, Dag Johansen, Pål Halvorsen, Carsten Griwodz:
Support for enterprise consolidation of I/O bound services. Softw. Pract. Exp. 40(12): 1035-1051 (2010)
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Zeljko Vrba, Pål Halvorsen, Carsten Griwodz:
Program Obfuscation by Strong Cryptography. ARES 2010: 242-247
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Dominik Kaspar, Kristian Evensen, Paal Engelstad, Audun Fosselie Hansen, Pål Halvorsen, Carsten Griwodz:
Enhancing Video-on-Demand Playout over Multiple Heterogeneous Access Networks. CCNC 2010: 1-5
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Zeljko Vrba, Pål Halvorsen, Carsten Griwodz:
A Simple Improvement of the Work-stealing Scheduling Algorithm. CISIS 2010: 925-930
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Dag Johansen, Håvard D. Johansen, Pål Halvorsen, Bjørn Olstad, Cathal Gurrin, Carsten Griwodz:
Composing personalized video playouts using search. ICME 2010: 1534-1539
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Espen Jacobsen, Carsten Griwodz, Pål Halvorsen:
Pull-patching: a combination of multicast and adaptive segmented HTTP streaming. ACM Multimedia 2010: 799-802
[c51]
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Pål Halvorsen, Dag Johansen, Bjørn Olstad, Tomas Kupka, Sverre Tennøe:
vESP: enriching enterprise document search results with aligned video summarization. ACM Multimedia 2010: 1603-1604
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Haakon Riiser, Pål Halvorsen, Carsten Griwodz, Dag Johansen:
Low overhead container format for adaptive streaming. MMSys 2010: 193-198
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Håkon Kvale Stensland, Martin Øinas Myrseth, Carsten Griwodz, Pål Halvorsen:
Cheat detection processing: A GPU versus CPU comparison. NETGAMES 2010: 1-6
[c48]
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Kristian Evensen, Tomas Kupka, Dominik Kaspar, Pål Halvorsen, Carsten Griwodz:
Quality-adaptive scheduling for live streaming over multiple access networks. NOSSDAV 2010: 21-26
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Håkon Kvale Stensland, Håvard Espeland, Carsten Griwodz, Pål Halvorsen:
Tips, tricks and troubles: optimizing for cell and GPU. NOSSDAV 2010: 75-80
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Pål Halvorsen, Dag Johansen, Bjørn Olstad, Tomas Kupka, Sverre Tennøe:
vESP: A Video-Enabled Enterprise Search Platform. NSS 2010: 534-541
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Carsten Griwodz, Pål Halvorsen:
RELAY - On the Performance and Resource Utilisation of Time-Dependent Large-Scale Distributed Systems. Simula Research Laboratory 2010: 199-235

2000 – 2009

see FAQ

What is the meaning of the colors in the publication lists?

2009
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Andreas Petlund, Paul B. Beskow, Jon Pedersen, Espen Søgård Paaby, Carsten Griwodz, Pål Halvorsen:
Improving SCTP retransmission delays for time-dependent thin streams. Multim. Tools Appl. 45(1-3): 33-60 (2009)
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Paul B. Beskow, Knut-Helge Vik, Pål Halvorsen, Carsten Griwodz:
The partial migration of game state and dynamic server selection to reduce latency. Multim. Tools Appl. 45(1-3): 83-107 (2009)
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Zeljko Vrba, Pål Halvorsen, Carsten Griwodz:
Evaluating the Run-Time Performance of Kahn Process Network Implementation Techniques on Shared-Memory Multiprocessors. CISIS 2009: 639-644
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Zeljko Vrba, Pål Halvorsen, Carsten Griwodz, Paul B. Beskow:
Kahn Process Networks are a Flexible Alternative to MapReduce. HPCC 2009: 154-162
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Carl Henrik Lunde, Håvard Espeland, Håkon Kvale Stensland, Pål Halvorsen:
Improving file tree traversal performance by scheduling I/O operations in user space. IPCCC 2009: 145-152
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Dominik Kaspar, Kristian Evensen, Audun Fosselie Hansen, Paal Engelstad, Pål Halvorsen, Carsten Griwodz:
An analysis of the heterogeneity and IP packet reordering over multiple wireless networks. ISCC 2009: 637-642
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Zeljko Vrba, Håvard Espeland, Pål Halvorsen, Carsten Griwodz:
Limits of Work-Stealing Scheduling. JSSPP 2009: 280-299
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Kristian Evensen, Dominik Kaspar, Paal Engelstad, Audun Fosselie Hansen, Carsten Griwodz, Pål Halvorsen:
A network-layer proxy for bandwidth aggregation and reduction of IP packet reordering. LCN 2009: 585-592
[c39]
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Pengpeng Ni, Fredrik Gaarder, Carsten Griwodz, Pål Halvorsen:
Video streaming into virtual worlds: the effects of virtual screen distance and angle on perceived quality. ACM Multimedia 2009: 885-888
[c38]
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Dag Johansen, Håvard D. Johansen, Tjalve Aarflot, Joseph Hurley, Åge Kvalnes, Cathal Gurrin, Sorin Sav, Bjørn Olstad, Erik Aaberg, Tore Endestad, Haakon Riiser, Carsten Griwodz, Pål Halvorsen:
DAVVI: a prototype for the next generation multimedia entertainment platform. ACM Multimedia 2009: 989-990
[c37]
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Paul B. Beskow, Geir A. Erikstad, Pål Halvorsen, Carsten Griwodz:
Evaluating ginnungagap: a middleware for migration of partial game-state utilizing core-selection for latency reduction. NETGAMES 2009: 1-6
[c36]
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Pengpeng Ni, Alexander Eichhorn, Carsten Griwodz, Pål Halvorsen:
Fine-grained scalable streaming from coarse-grained videos. NOSSDAV 2009: 103-108
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Zeljko Vrba, Pål Halvorsen, Carsten Griwodz, Paul B. Beskow, Dag Johansen:
The Nornir Run-time System for Parallel Programs Using Kahn Process Networks. NPC 2009: 1-8
2008
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Knut-Helge Vik, Pål Halvorsen, Carsten Griwodz:
Evaluating Steiner-tree heuristics and diameter variations for application layer multicast. Comput. Networks 52(15): 2872-2893 (2008)
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Kristian Evensen, Andreas Petlund, Carsten Griwodz, Pål Halvorsen:
Redundant bundling in TCP to reduce perceived latency for time-dependent thin streams. IEEE Commun. Lett. 12(4): 324-326 (2008)
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Haakon Riiser, Pål Halvorsen, Carsten Griwodz, Bjørn Hestnes:
Performance measurements and evaluation of video streaming in HSDPA networks with 16QAM modulation. ICME 2008: 489-492
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Svetlana Boudko, Wolfgang Leister, Carsten Griwodz, Pål Halvorsen:
A benchmarking system for multipath overlay multimedia streaming. ICME 2008: 853-856
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Knut-Helge Vik, Pål Halvorsen, Carsten Griwodz:
Multicast Tree Diameter for Dynamic Distributed Interactive Applications. INFOCOM 2008: 1597-1605
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Knut-Helge Vik, Carsten Griwodz, Pål Halvorsen:
Constructing low-latency overlay networks: Tree vs. mesh algorithms. LCN 2008: 36-43
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Andreas Petlund, Kristian Evensen, Carsten Griwodz, Pål Halvorsen:
TCP mechanisms for improving the user experience for time-dependent thin-stream applications. LCN 2008: 176-183
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Wolfgang Leister, Tiia Sutinen, Svetlana Boudko, Ian Marsh, Carsten Griwodz, Pål Halvorsen:
An architecture for adaptive multimedia streaming to mobile nodes. MoMM 2008: 313-316
[c28]
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Paul B. Beskow, Knut-Helge Vik, Pål Halvorsen, Carsten Griwodz:
Latency reduction by dynamic core selection and partial migration of game state. NETGAMES 2008: 79-84
[c27]
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Andreas Petlund, Kristian Evensen, Pål Halvorsen, Carsten Griwodz:
Improving application layer latency for reliable thin-stream game traffic. NETGAMES 2008: 91-96
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Håkon Kvale Stensland, Carsten Griwodz, Pål Halvorsen:
Evaluation of multi-core scheduling mechanisms for heterogeneous processing architectures. NOSSDAV 2008: 33-38
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Andreas Petlund, Kristian Evensen, Carsten Griwodz, Pål Halvorsen:
TCP enhancements for interactive thin-stream applications. NOSSDAV 2008: 127-128
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Håvard Espeland, Carl Henrik Lunde, Håkon Kvale Stensland, Carsten Griwodz, Pål Halvorsen:
Transparent protocol translation and load balancing on a network processor in a media streaming scenario. NOSSDAV 2008: 129-130
2007
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Pål Halvorsen, Tom Anders Dalseng, Carsten Griwodz:
Assessment of Linux' Data Path Implementations for Download and Streaming. Int. J. Softw. Eng. Knowl. Eng. 17(4): 465-481 (2007)
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Frank T. Johnsen, Trude Hafsøe, Carsten Griwodz, Pål Halvorsen:
Workload Characterization for News-on-Demand Streaming Services. IPCCC 2007: 314-323
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Erlend Birkedal, Carsten Griwodz, Pål Halvorsen:
Implementation and Evaluation of Late Data Choice for TCP in Linux. ISM 2007: 221-228
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Knut-Helge Vik, Carsten Griwodz, Pål Halvorsen:
Dynamic Group Membership Management for Distributed Interactive Applications. LCN 2007: 141-148
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Håvard Espeland, Carl Henrik Lunde, Håkon Kvale Stensland, Carsten Griwodz, Pål Halvorsen:
Transparent protocol translation for streaming. ACM Multimedia 2007: 771-774
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Szabolcs Harcsik, Andreas Petlund, Carsten Griwodz, Pål Halvorsen:
Latency evaluation of networking mechanisms for game traffic. NETGAMES 2007: 129-134
2006
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Carsten Griwodz, Knut-Helge Vik, Pål Halvorsen:
Multicast tree reconfiguration in distributed interactive applications. CCNC 2006: 1219-1223
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Carsten Griwodz, Frank T. Johnsen, Simen Rekkedal, Pål Halvorsen:
Caching of interactive multiple choice MPEG-4 presentations. IPCCC 2006
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Jon Pedersen, Carsten Griwodz, Pål Halvorsen:
Considerations of SCTP Retransmission Delays for Thin Streams. LCN 2006: 135-142
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Wladimir Palant, Carsten Griwodz, Pål Halvorsen:
GLS: simulator for online multi-player games. ACM Multimedia 2006: 805-806
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Knut-Helge Vik, Carsten Griwodz, Pål Halvorsen:
Applicability of group communication for increased scalability in MMOGs. NETGAMES 2006: 2
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Wladimir Palant, Carsten Griwodz, Pål Halvorsen:
Consistency requirements in multiplayer online games. NETGAMES 2006: 51
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Carsten Griwodz, Pål Halvorsen:
The fun of using TCP for an MMORPG. NOSSDAV 2006: 1
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Wladimir Palant, Carsten Griwodz, Pål Halvorsen:
Evaluating dead reckoning variations with a multi-player game simulator. NOSSDAV 2006: 4
2005
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Pål Halvorsen, Tom Anders Dalseng, Carsten Griwodz:
Assessment of Data Path Implementations for Download and Streaming. DMS 2005: 228-233
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Sten Lundesgaard Amundsen, Ketil Lund, Carsten Griwodz, Pål Halvorsen:
QoS-aware Mobile Middleware for Video Streaming. EUROMICRO-SEAA 2005: 54-61
2004
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Pål Halvorsen, Carsten Griwodz, Vera Goebel, Ketil Lund, Thomas Plagemann, Jonathan Walpole:
Storage System Support for Continuous-Media Applications, Part 1: Requirements and Single-Disk Issues. IEEE Distributed Syst. Online 5(1) (2004)
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Pål Halvorsen, Carsten Griwodz, Vera Goebel, Ketil Lund, Thomas Plagemann, Jonathan Walpole:
Storage System Support for Continuous-Media Applications, Part 1: Requirements and Single-Disk Issues. IEEE Distributed Syst. Online 5(2) (2004)
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Thomas Plagemann, Jon Andersson, Ovidiu Valentin Drugan, Vera Goebel, Carsten Griwodz, Pål Halvorsen, Ellen Munthe-Kaas, Matija Puzar, Norun Sanderson, Katrine Stemland Skjelsvik:
Middleware Services for Information Sharing in Mobile Ad-Hoc Networks - Challenges and Approach. Broadband Satellite Comunication Systems 2004: 225-236
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Frank T. Johnsen, Carsten Griwodz, Pål Halvorsen:
Structured Partially Caching Proxies for Mixed Media. WCW 2004: 144-153
2003
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Pål Halvorsen, Thomas Plagemann, Vera Goebel:
Improving the I/O performance of intermediate multimedia storage nodes. Multim. Syst. 9(1): 56-67 (2003)
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Thomas Plagemann, Vera Goebel, Carsten Griwodz, Pål Halvorsen:
Towards Middleware Services for Mobile Ad-Hoc Network Applications. FTDCS 2003: 249-
2002
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Pål Halvorsen, Espen Jorde, Karl-André Skevik, Vera Goebel, Thomas Plagemann:
Performance Tradeoffs for Static Allocation of Zero-Copy Buffers. EUROMICRO 2002: 138-143
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Pål Halvorsen, Thomas Plagemann, Vera Goebel:
Minimizing Protocol Processing in Multimedia Servers - Implementation and Evaluation of Network Level Framing -. ICDCS Workshops 2002: 149-155
2001
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Karl-André Skevik, Thomas Plagemann, Vera Goebel, Pål Halvorsen:
Evaluation of a Zero-Copy Protocol Implementation. EUROMICRO 2001: 324-330
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Pål Halvorsen, Thomas Plagemann, Vera Goebel:
Integrated Error Management for Media-on-Demand Services. INFOCOM 2001: 621-630
2000
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Thomas Plagemann, Vera Goebel, Pål Halvorsen, Otto J. Anshus:
Operating system support for multimedia systems. Comput. Commun. 23(3): 267-289 (2000)

1990 – 1999

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What is the meaning of the colors in the publication lists?

1998
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Pål Halvorsen, Vera Goebel, Thomas Plagemann:
Q-L/MRP: A Buffer Management Mechanism for QoS Support in a Multimedia DBMS. IW-MMDBMS 1998: 162-171

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