Steven Alexander Hicks

Publication Activity (10 Years)

Years Active: 2018-2023
Publications (10 Years): 58

Top Topics

Convolutional Neural Networks

Top Venues

Publications

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)
Alexander K. Pishva, Vajira Thambawita, Jim Torresen, Steven Alexander Hicks
RePolyp: A Framework for Generating Realistic Colon Polyps with Corresponding Segmentation Masks using Diffusion Models. CBMS (2023)
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)
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 (2023)
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 (2023)
Thu Nguyen, Andrea M. Storås, Vajira Thambawita, Steven Alexander Hicks, Pål Halvorsen, Michael A. Riegler
Multimedia Datasets: Challenges and Future Possibilities. MMM (2) (2023)
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 (2022)
Cise Midoglu, Steven Alexander Hicks, Vajira Thambawita, Tomas Kupka, Pål Halvorsen
MMSys'22 Grand Challenge on AI-based Video Production for Soccer. CoRR (2022)
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)
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)
Felicia Ly Jacobsen, Steven Alexander Hicks, Pål Halvorsen, Michael A. Riegler
Estimating Predictive Uncertainty in Gastrointestinal Polyp Segmentation. CBMS (2022)
Azza H. Ahmed, Michael A. Riegler, Steven Alexander Hicks, Ahmed Elmokashfi
RCAD: Real-time Collaborative Anomaly Detection System for Mobile Broadband Networks. KDD (2022)
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)
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) (2022)
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 (2022)
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)
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)
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)
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)
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 (2021)
Espen Naess, Vajira Thambawita, Steven Alexander Hicks, Michael A. Riegler, Pål Halvorsen
Pyramidal Segmentation of Medical Images using Adversarial Training. ICDAR@ICMR (2021)
Vajira Thambawita, Steven Alexander Hicks, Pål Halvorsen, Michael A. Riegler
DivergentNets:Medical Image Segmentation by Network Ensemble. EndoCV@ISBI (2021)
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)
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) (2021)
Vajira Thambawita, Steven Alexander Hicks, Pål Halvorsen, Michael A. Riegler
DivergentNets: Medical Image Segmentation by Network Ensemble. CoRR (2021)
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) (2021)
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 (2021)
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)
Gunn Astrid Baugerud, Miriam S. Johnson, Ragnhild Klingenberg Røed, Michael E. Lamb, Martine 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)
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) (2021)
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 (2021)
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)
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 (2020)
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)
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)
Vajira Thambawita, Steven Alexander Hicks, Pål Halvorsen, Michael A. Riegler
Pyramid-Focus-Augmentation: Medical Image Segmentation with Step-Wise Focus. CoRR (2020)
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 Jain, Michael Alexander Riegler, Pål Halvorsen
PMData: a sports logging dataset. MMSys (2020)
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 (2020)
Oda Olsen Nedrejord, Vajira Thambawita, Steven Alexander Hicks, Pål Halvorsen, Michael A. Riegler
Vid2Pix - A Framework for Generating High-Quality Synthetic Videos. ISM (2020)
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)
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 (2020)
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)
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)
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)
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)
Steven Alexander Hicks, Trine B. Haugen, Pål Halvorsen, Michael Riegler
Using Deep Learning to Predict Motility and Morphology of Human Sperm. MediaEval (2019)
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)
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)
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)
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)
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)
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 (2019)
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)
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)
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)
Steven Alexander Hicks, Pia H. Smedsrud, Pål Halvorsen, Michael Riegler
Deep Learning Based Disease Detection Using Domain Specific Transfer Learning. MediaEval (2018)
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)
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)