1. Bruno Cabado, Anthony Cioppa, Silvio Giancola, Andrés Villa, Bertha Guijarro-Berdiñas, Emilio Padrón, Bernard Ghanem, and Marc Van Droogenbroeck. Beyond the Premier: Assessing Action Spotting Transfer Capability Across Diverse Domains. In IEEE International Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), CVsports, Seattle, Washington, USA, June 2024. Keyword(s): Soccer, Football, Action spotting, Transferability. [bibtex-entry]



2. Benoît Gérin, Anaïs Halin, Anthony Cioppa, Maxim Henry, Bernard Ghanem, Benoît Macq, Christophe De Vleeschouwer, and Marc Van Droogenbroeck. Multi-Stream Cellular Test-Time Adaptation of Real-Time Models Evolving in Dynamic Environments. In IEEE International Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), Workshop on Autonomous Driving, Seattle, Washington, USA, June 2024. Keyword(s): Online distillation, Test-time adaptation, Driving environnement, Multi-stream, Cellular learning. [bibtex-entry]



3. Jan Held, Hani Itani, Anthony Cioppa, Silvio Giancola, Bernard Ghanem, and Marc Van Droogenbroeck. X-VARS: Introducing Explainability in Football Refereeing with Multi-Modal Large Language Models. In IEEE International Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), CVsports, Seattle, Washington, USA, June 2024. Keyword(s): Soccer, Football, Referee, Large language model, VAR, Explainability. [bibtex-entry]



4. Arnaud Leduc, Anthony Cioppa, Silvio Giancola, Bernard Ghanem, and Marc Van Droogenbroeck. SoccerNet-Depth: a Scalable Dataset for Monocular Depth Estimation in Sports Videos. In IEEE International Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), CVsports, Seattle, Washington, USA, June 2024. Keyword(s): Soccer, SoccerNet, Football, Depth estimation, Volley-ball, Synthetic data, Dataset. [bibtex-entry]



5. Floriane Magera, Thomas Hoyoux, Olivier Barnich, and Marc Van Droogenbroeck. A Universal Protocol to Benchmark Camera Calibration for Sports. In IEEE International Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), CVsports, Seattle, Washington, USA, June 2024. Keyword(s): Sports, Soccer, Camera calibration, Benchmarking, SoccerNet. [bibtex-entry]



6. Vladimir Somers, Victor Joos, Silvio Giancola, Anthony Cioppa, Seyed Abolfazl Ghasemzadeh, Floriane Magera, Baptiste Standaert, AmirMohammad Mansourian, Xin Zhou, Shohreh Kasaei, Bernard Ghanem, Alexandre Alahi, Marc Van Droogenbroeck, and Christophe De Vleeschouwer. SoccerNet Game State Reconstruction: End-to-End Athlete Tracking and Identification on a Minimap. In IEEE International Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), CVsports, Seattle, Washington, USA, June 2024. Keyword(s): Soccer, SoccerNet, Football, Game state. [bibtex-entry]

1. Olivier Absil, Carles Cantero, and Marc Van Droogenbroeck. Machine learning for direct exoplanet imaging. In Biomedical and Astronomical Signal Processing (BASP) Frontiers, Villars-sur-Ollon, Switzerland, February 2023. Keyword(s): Exoplanet, Machine learning. [bibtex-entry]



2. Anthony Cioppa, Silvio Giancola, Adrien Deliège, Vladimir Somers, Floriane Magera, Hassan Mkhallati, Le Kang, Xin Zhou, Zhiyu Cheng, Bernard Ghanem, and Marc Van Droogenbroeck. SoccerNet Exploring the Game with Computer Vision. In Rising Stars in AI Symposium, Thuwal, Saudi Arabia, February 2023. Note: Invited talk. Keyword(s): SoccerNet, Soccer, Football, Deep learning, Machine learning, Artificial intelligence. [bibtex-entry]



3. Michaël Fonder and Marc Van Droogenbroeck. A technique to jointly estimate depth and depth uncertainty for unmanned aerial vehicles. In IEEE International Conference on Systems, Signals and Image Processing (IWSSIP), Ohrid, North Macedonia, pages 1-5, June 2023. Keyword(s): Depth, Depth estimation, Depth uncertainty, Deep learning, Drone, UAV, Parallax. [bibtex-entry]



4. Silvio Giancola, Anthony Cioppa, Julia Georgieva, Johsan Billingham, Andreas Serner, Kerry Peek, Bernard Ghanem, and Marc Van Droogenbroeck. Towards Active Learning for Action Spotting in Association Football Videos. In IEEE International Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), CVsports, Vancouver, Canada, pages 5098-5108, June 2023. Keyword(s): Soccer, Action spotting, Active learning, SoccerNet. [bibtex-entry]



5. Jan Held, Anthony Cioppa, Silvio Giancola, Abdullah Hamdi, Bernard Ghanem, and Marc Van Droogenbroeck. VARS: Video Assistant Referee System for Automated Soccer Decision Making from Multiple Views. In IEEE/CVF International Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), CVsports, Vancouver, Canada, pages 5086-5097, June 2023. Keyword(s): Soccer, Referee, Multiple views, Decision. [bibtex-entry]



6. Joachim Houyon, Anthony Cioppa, Yasir Ghunaim, Motasem Alfarra, Anaïs Halin, Maxim Henry, Bernard Ghanem, and Marc Van Droogenbroeck. Online Distillation with Continual Learning for Cyclic Domain Shifts. In IEEE/CVF International Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), Workshop on Continual Learning in Computer Vision, Vancouver, Canada, pages 2437-2446, June 2023. Keyword(s): Online distillation, Continual learning, Autonomous cars. [bibtex-entry]



7. Hassan Mkhallati, Anthony Cioppa, Silvio Giancola, Bernard Ghanem, and Marc Van Droogenbroeck. SoccerNet-Caption: Dense Video Captioning for Soccer Broadcasts Commentaries. In IEEE/CVF International Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), CVsports, Vancouver, Canada, pages 5074-5085, June 2023. Keyword(s): Soccer, Video captioning. [bibtex-entry]



8. Sébastien Piérard, Anthony Cioppa, Anaïs Halin, Renaud Vandeghen, Maxime Zanella, Benoît Macq, Saïd Mahmoudi, and Marc Van Droogenbroeck. Mixture Domain Adaptation to Improve Semantic Segmentation in Real-World Surveillance. In IEEE/CVF Winter Conference on Applications of Computer Vision Workshops (WACVW), Waikoloa, Hawaii, USA, pages 22-31, January 2023. Keyword(s): Domain adaptation, Articial intelligence, Semantic segmentation, Autonomous cars, ARIAC. [bibtex-entry]



9. Renaud Vandeghen, Gilles Louppe, and Marc Van Droogenbroeck. Adaptive Self-Training for Object Detection. In IEEE/CVF International Conference on Computer Vision Workshops (ICCV Workshops), Paris, France, pages 914-923, October 2023. Keyword(s): Deep learning, Machine learning, Self-training, Object detection, Semi-supervision, Supervision, Refinement, ASTOD, COCO dataset, DIOR dataset. [bibtex-entry]

1. Faustine Cantalloube, Valentin Christiaens, Carles Cantero, Evert Nasedkin, Anthony Cioppa, Olivier Absil, Markus J. Bonse, Philippe Delorme, Carlos A. Gomez-Gonzalez, Sandrine Juillard, Johan Mazoyer, Matthias Samland, Jean-Baptiste Ruffio, and Marc Van Droogenbroeck. Exoplanet imaging data challenge, phase II: characterization of exoplanet signals in high-contract images. In Dirk Schmidt, Laura Schreiber, and Elise Vernet, editors, Adaptive Optics Systems VIII, volume 12185, pages 8-24, August 2022. SPIE. Keyword(s): Exoplanet, Benchmarking, EIDC, Challenge. [bibtex-entry]



2. Anthony Cioppa, Silvio Giancola, Adrien Deliège, Le Kang, Xin Zhou, Zhiyu Cheng, Bernard Ghanem, and Marc Van Droogenbroeck. SoccerNet-Tracking: Multiple Object Tracking Dataset and Benchmark in Soccer Videos. In IEEE International Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), CVsports, New Orleans, Louisiana, USA, pages 3490-3501, June 2022. IEEE. Keyword(s): SoccerNet-v3, Human Tracking, Player Tracking, Soccer, Football, Deep learning, Machine learning, Artificial intelligence, ARIAC. [bibtex-entry]



3. Silvio Giancola, Anthony Cioppa, Adrien Deliège, Floriane Magera, Vladimir Somers, Le Kang, Xin Zhou, Olivier Barnich, Christophe De Vleeschouwer, Alexandre Alahi, Bernard Ghanem, Marc Van Droogenbroeck, and et al.. SoccerNet 2022 Challenges Results. In International ACM Workshop on Multimedia Content Analysis in Sports (MMSports), Lisboa, Portugal, pages 75-86, October 2022. ACM. Keyword(s): Challenge, SoccerNet, Human Tracking, Player Tracking, Soccer, Football, Deep learning, Machine learning, Artificial intelligence, ARIAC. [bibtex-entry]



4. Raphaël La Rocca, Anthony Cioppa, Marc Van Droogenbroeck, Gauthier Eppe, and Loïc Quinton. Relational Graph Convolutional Network for Robust Mass Spectrum Classification. In International Mass Spectrometry Conference (IMSC), Maastricht, the Netherlands, August-September 2022. Keyword(s): Mass Spectrometry, Learning, Classification, Graph, Graph convolutional Network. [bibtex-entry]



5. Renaud Vandeghen, Anthony Cioppa, and Marc Van Droogenbroeck. Semi-Supervised Training to Improve Detection for Satellite Images. In AI4Copernicus: Earth Observation and Artificial Intelligence for a Safer World, Brussels, Belgium, May 2022. Keyword(s): Semi-supervised, Self training, Satellite, Semantic segmentation, Artificial intelligence, Machine learning, Deep learning. [bibtex-entry]



6. Renaud Vandeghen, Anthony Cioppa, and Marc Van Droogenbroeck. Semi-Supervised Training to Improve Player and Ball Detection in Soccer. In IEEE International Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), CVsports, New Orleans, Louisiana, USA, pages 3480-3489, June 2022. IEEE. Keyword(s): Semi-supervised, Self training, Soccer, Semantic segmentation, Artificial intelligence, Machine learning, Deep learning, TRAIL. [bibtex-entry]

1. Anthony Cioppa, Adrien Deliège, Floriane Magera, Silvio Giancola, Olivier Barnich, Bernard Ghanem, and Marc Van Droogenbroeck. Camera Calibration and Player Localization in SoccerNet-v2 and Investigation of their Representations for Action Spotting. In IEEE International Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), CVsports, Nashville, Tennessee, USA, pages 4537-4546, June 2021. Keyword(s): Calibration, SoccerNet, Dataset, Training data, Soccer, Football, Classification, Annotation, Neural network, Deep learning, Machine learning, Artificial intelligence, DeepSport. [bibtex-entry]



2. Adrien Deliège, Anthony Cioppa, Silvio Giancola, Meisam J. Seikavandi, Jacob V. Dueholm, Kamal Nasrollahi, Bernard Ghanem, Thomas B. Moeslund, and Marc Van Droogenbroeck. SoccerNet-v2: A Dataset and Benchmarks for Holistic Understanding of Broadcast Soccer Videos. In IEEE International Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), CVsports, Nashville, Tennessee, USA, pages 4508-4519, June 2021. Note: Best CVsports paper award. Keyword(s): Calibration, SoccerNet, Dataset, Training data, Soccer, Football, Classification, Annotation, Neural network, Deep learning, Machine learning, Artificial intelligence, DeepSport, Best paper award. [bibtex-entry]



3. Giovanny Moncayo-Unda, Van Droogenbroeck Marc, Ismaël Saadi, and Mario Cools. Variability of people's activity space using GPS-based trajectory data. In Biannual BIVEC-GIBET Transport Research Days, pages 298-302, May 2021. Keyword(s): Activity space, GPS, scikit-mobility. [bibtex-entry]

1. Faustine Cantalloube, Carlos Gomez-Gonzalez, Olivier Absil, Carles Cantero, Regis Bacher, Markus Bonse, Michael Bottom, Carl-Henrik Dahlqvist, Célia Desgrange, Olivier Flasseur, Thomas Fuhrmann, Thomas H. Henning, Rebecca Jensen-Clem, Matthew Kenworthy, Dimitri Mawet, Dino Mesa, Tiffany Meshkat, David Mouillet, André Müller, Evert Nasedkin, Benoit Pairet, Sébastien Piérard, Jean-Baptiste Ruffio, Matthias Samland, Jordan Stone, and Marc Van Droogenbroeck. Exoplanet imaging data challenge: benchmarking the various image processing methods for exoplanet detection. In Adaptive Optics Systems VII, volume 11448 of Proceedings of SPIE, pages 1-36, December 2020. SPIE. Keyword(s): Exoplanet, Detection, Benchmarking, Challenge. [bibtex-entry]



2. Anthony Cioppa, Adrien Deliège, Silvio Giancola, Bernard Ghanem, Marc Van Droogenbroeck, Rikke Gade, and Thomas B. Moeslund. A Context-Aware Loss Function for Action Spotting in Soccer Videos. In IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), Seattle, Washington, USA, pages 13123-13133, June 2020. Keyword(s): Action spotting, Artificial Intelligence, Soccer, Deep learning, Loss, DeepSport. [bibtex-entry]



3. Anthony Cioppa, Adrien Deliège, Noor Ul Huda, Rikke Gade, Marc Van Droogenbroeck, and Thomas B. Moeslund. Multimodal and multiview distillation for real-time player detection on a football field. In IEEE International Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), CVsports, Seattle, Washington, USA, pages 3846-3855, June 2020. Note: Best CVsports paper award. Keyword(s): Soccer, Football, Artificial intelligence, Deep learning, Machine learning, Multiview distillation, Multimodal distillation, Knowledge distillation, Player detection, Thermal camera, Fisheye camera, Real-time, DeepSport, Distillation, ViBe, Best paper award. [bibtex-entry]



4. Anthony Cioppa, Marc Van Droogenbroeck, and Marc Braham. Real-Time Semantic Background Subtraction. In IEEE International Conference on Image Processing (ICIP), Abu Dhabi, United Arab Emirates, pages 3214-3218, October 2020. Keyword(s): Background subtraction, Real time, Change detection, Semantic segmentation, Semantic background subtraction, DeepSport, CDNet 2014. [bibtex-entry]



5. Giovanny Moncayo-Unda, Ismaël Saadi, Marc Van Droogenbroeck, and Mario Cools. Using mobile phones to collect data including user feedback for the analysis of urban mobility. In Mobile Tartu, pages 1-8, June 2020. Keyword(s): Mobility, Transport. [bibtex-entry]



6. Sébastien Piérard and Marc Van Droogenbroeck. Summarizing the performances of a background subtraction algorithm measured on several videos. In IEEE International Conference on Image Processing (ICIP), Abu Dhabi, United Arab Emirates, pages 3234-3238, October 2020. Keyword(s): Background subtraction, Evaluation, Performance, Summarization, Change detection, Classification performance, CDNet 2014, DeepSport. [bibtex-entry]

1. Anthony Cioppa, Adrien Deliège, Maxime Istasse, Christophe De Vleeschouwer, and Marc Van Droogenbroeck. ARTHuS: Adaptive Real-Time Human Segmentation in Sports through Online Distillation. In IEEE International Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), CVsports, Long Beach, California, USA, pages 2505-2514, June 2019. Note: Best CVsports paper award. Keyword(s): Soccer, Semantic segmentation, Artificial intelligence, Machine learning, Deep learning, CNN, DeepSport, Best paper award. [bibtex-entry]



2. Adrien Deliège, Anthony Cioppa, and Marc Van Droogenbroeck. An Effective Hit-or-Miss Layer Favoring Feature Interpretation as Learned Prototypes Deformations. In AAAI Conference on Artificial Intelligence, Workshop on Network Interpretability for Deep Learning, Honolulu, Hawaii, USA, pages 1-8, January 2019. Keyword(s): Deep learning, Machine learning, Artificial intelligence, Neural network, Classification, Capsule, HitNet, Hit-or-miss layer, Feature interpretation, Centripetal loss, Prototype, DeepSport. [bibtex-entry]



3. Adrien Deliège, A. Kumar, Maxime Istasse, Christophe De Vlesschouwer, and Marc Van Droogenbroeck. Ordinal Pooling. In British Machine Vision Conference (BMVC), Cardiff, Wales, pages 1-12, September 2019. Keyword(s): Deep learning, Machine learning, Pooling, Artificial intelligence, Neural network, Convolutional layer, CNN, DeepSport. [bibtex-entry]



4. Michaël Fonder and Marc Van Droogenbroeck. Mid-Air: A multi-modal dataset for extremely low altitude drone flights. In IEEE International Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), UAVision, Long Beach, California, USA, pages 553-562, June 2019. Keyword(s): UAV, Dataset, Mid-Air, Positioning, Benchmark, Drone, Artificial Intelligence, Deep learning. [bibtex-entry]



5. Philippe Latour and Marc Van Droogenbroeck. Dual Approaches for Elliptic Hough Transform: Eccentricity/Orientation vs Center based. In IAPR International Conference on Discrete Geometry for Computer Imagery (DGCI), Lecture Notes in Computer Science, pages 367-379, 2019. Keyword(s): Ellipse detection, Ellipse matching, Hough transform, Pencil of conics, Tangential equation. [bibtex-entry]



6. Giovanny Moncayo-Unda, Ismaël Saadi, Marc Van Droogenbroeck, and Mario Cools. SmartGPS: An android app for collecting urban mobility data. In BIVEC/GIBET Transport Research Days, Ghent, Belgium, pages 1-10, May 2019. Keyword(s): Transport, GPS. [bibtex-entry]

1. Anthony Cioppa, Adrien Deliège, and Marc Van Droogenbroeck. A bottom-up approach based on semantics for the interpretation of the main camera stream in soccer games. In IEEE International Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), CVsports, Salt Lake City, Utah, USA, pages 1846-1855, June 2018. Note: Best CVsports paper award. Keyword(s): Soccer, Semantic segmentation, Artificial intelligence, Deep learning, Machine learning, CNN, DeepSport, Best paper award. [bibtex-entry]

1. Samir Azrour, Sébastien Piérard, Pierre Geurts, and Marc Van Droogenbroeck. A two-step methodology for human pose estimation increasing the accuracy and reducing the amount of learning samples dramatically. In Advanced Concepts for Intelligent Vision Systems (ACIVS), volume 10617 of Lecture Notes in Computer Science, pages 3-14, 2017. Keyword(s): Pose estimation, Orientation estimation. [bibtex-entry]



2. Marc Braham, Sébastien Piérard, and Marc Van Droogenbroeck. Semantic Background Subtraction. In IEEE International Conference on Image Processing, Beijing, China, pages 4552-4556, September 2017. Keyword(s): Background subtraction, Change detection, Semantic segmentation, Scene labeling, Scene parsing, Classification, Machine learning, Deep learning, CDNet 2014. [bibtex-entry]



3. Philippe Latour and Marc Van Droogenbroeck. New PVT Metrics with Improved Sensitivity to Sleep Loss: Analysis from Short to Long Time Intervals. In Managing Fatigue, San Diego, California, USA, March 2017. Keyword(s): PVT metrics, Fatigue, Sleep, Sleep deprivation, Drowsiness, Sleepiness. [bibtex-entry]



4. Benjamin Laugraud and Marc Van Droogenbroeck. Is a Memoryless Motion Detection Truly Relevant for Background Generation with LaBGen?. In Advanced Concepts for Intelligent Vision Systems (ACIVS), volume 10617 of Lecture Notes in Computer Science, pages 443-454, 2017. Keyword(s): Background generation, Background initialization, Background subtraction, Optical flow, Motion detection, Median filter, SBI dataset, SBMnet dataset, LaBGen, LaBGen-OF. [bibtex-entry]

1. Samir Azrour, Sébastien Piérard, and Marc Van Droogenbroeck. Improving pose estimation by building dedicated datasets and using orientation. In IET Workshop on Human Motion Analysis for Healthcare Applications, London, United Kingdom, May 2016. Keyword(s): Pose estimation, Human, Depth camera, 3D camera, Orientation. [bibtex-entry]



2. Samir Azrour, Sébastien Piérard, and Marc Van Droogenbroeck. Leveraging orientation knowledge to enhance human pose estimation methods. In Articulated Motion and Deformable Objects AMDO, volume 9756 of Lecture Notes in Computer Science, Palma, Mallorca, Spain, pages 81-87, 2016. Springer. Keyword(s): Human pose estimation, Orientation, 3D, Machine learning. [bibtex-entry]



3. Marc Braham and Marc Van Droogenbroeck. Deep Background Subtraction with Scene-Specific Convolutional Neural Networks. In International Conference on Systems, Signals and Image Processing (IWSSIP), Bratislava, Slovakia, pages 1-4, May 2016. Keyword(s): Background subtraction, Deep learning, Machine learning, CDNet, Change detection, CDNet 2014. [bibtex-entry]



4. Benjamin Laugraud, Sébastien Piérard, and Marc Van Droogenbroeck. LaBGen-P: A Pixel-Level Stationary Background Generation Method Based on LaBGen. In International Conference on Pattern Recognition (ICPR), Scene Background Modeling Contest (SBMC), Cancun, Mexico, December 2016. Note: Source code in C++ available, see http://www.telecom.ulg.ac.be/labgen. Keyword(s): Background generation, Background modelling, Background image, Source code, LaBGen, Background estimation, Initialization, SBMnet, SBMC, Motion detection, LaBGen. [bibtex-entry]



5. Julien Osmalskyj, Marc Van Droogenbroeck, and Jean-Jacques Embrechts. Enhancing Cover Song Identification with Hierarchical Rank Aggregation. In International Society for Music Information Retrieval Conference (ISMIR), New York City, USA, pages 136-142, August 2016. Keyword(s): Music information retrieval, Cover song identification, Rank aggregation. [bibtex-entry]



6. Sébastien Piérard, Samir Azrour, and Marc Van Droogenbroeck. Slicing the 3D space into planes for the fast interpretation of human motion. In IET Workshop on Human Motion Analysis for Healthcare Applications, London, United Kingdom, May 2016. Keyword(s): Human, Motion, Gait analysis, GAIMS. [bibtex-entry]



7. Sébastien Piérard and Marc Van Droogenbroeck. What are the optimal walking tests to assess disability progression?. In European Committee for Treatment and Research in Multiple Sclerosis (ECTRIMS), London, UK, September 2016. Keyword(s): GAIMS, Gait analysis, Multiple sclerosis. [bibtex-entry]

1. Marc Braham and Marc Van Droogenbroeck. A generic feature selection method for background subtraction using global foreground models. In Advanced Concepts for Intelligent Vision Systems (ACIVS), volume 9386 of Lecture Notes in Computer Science, pages 717-728, 2015. Keyword(s): Background subtraction, Feature selection, Foreground model, Change detection, ViBe. [bibtex-entry]



2. Denis Defrere, Olivier Absil, Dimitri Mawet, K. Michael, Serge Habraken, Jean Surdej, P.-A. Absil, Brunella Carlomagno, V. Christiaens, Christien Delacroix, J. Girard, Pontus Forsberg, Carlos Alberto Gomez Gonzalez, Elsa P. Hinz nd Huby, Aïssa Jolivet, Julien Milli, E. Pantin, Pierre Piron, E. Serabyn, Marc Van Droogenbroeck, Ernesto Vargas Catalan, and O. Wertz. Direct exoplanet imaging with small-angle Vortex coronagraphs. In Proceedings of the Pathways Towards Habitable Planets Conference, Bern, Switzerland, pages 1-20, July 2015. Keyword(s): Exoplanet, High-contrast imaging, Vortex, Coronography, AGPM. [bibtex-entry]



3. Benjamin Laugraud, Sébastien Piérard, Marc Braham, and Marc Van Droogenbroeck. Simple median-based method for stationary background generation using background subtraction algorithms. In International Conference on Image Analysis and Processing (ICIAP), Workshop on Scene Background Modeling and Initialization (SBMI), volume 9281 of Lecture Notes in Computer Science, pages 477-484, 2015. Note: Source code in C++ available. Keyword(s): Background subtraction, Background image, Source code. [bibtex-entry]



4. Benjamin Laugraud, Sébastien Piérard, and Marc Van Droogenbroeck. Time ordering shuffling for improving background subtraction. In Advanced Concepts for Intelligent Vision Systems (ACIVS), volume 9386 of Lecture Notes in Computer Science, pages 58-69, 2015. Keyword(s): Background subtraction, Time ordering, Time shuffling. [bibtex-entry]



5. Sébastien Piérard and Marc Van Droogenbroeck. A perfect estimation of a background image does not lead to a perfect background subtraction: analysis of the upper bound on the performance. In International Conference on Image Analysis and Processing (ICIAP), Workshop on Scene Background Modeling and Initialization (SBMI), volume 9281 of Lecture Notes in Computer Science, pages 56-65, September 2015. Keyword(s): Background subtraction, Evaluation, Performance analysis, Upper bound. [bibtex-entry]

1. Olivier Absil, Dimitri Mawet, Christian Delacroix, Pontus Forsberg, Mikael Karlsson, Serge Habraken, Jean Surdej, Pierre-Antoine Absil, Brunella Carlomagno, Valentin Christiaens, Denis Defrère, Carlos Gomez Gonzalez, Elsa Huby, Aïssa Jolivet, Julien Milli, Pierre Piron, Ernesto Vargas Catalan, and Marc Van Droogenbroeck. The VORTEX project: first results and perspectives. In Proc. SPIE, Adaptive Optics Systems IV, volume 9148, Montréal, Canada, July 2014. Keyword(s): VORTEX project, Optics, Coronograph, Background subtraction. [bibtex-entry]



2. Samir Azrour, Sébastien Piérard, Pierre Geurts, and Marc Van Droogenbroeck. Data normalization and supervised learning to assess the condition of patients with multiple sclerosis based on gait analysis. In European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN), Bruges, Belgium, pages 649-654, April 2014. Keyword(s): Data normalization, Machine learning, Multiple sclerosis. [bibtex-entry]



3. Marc Braham, Antoine Lejeune, and Marc Van Droogenbroeck. A physically motivated pixel-based model for background subtraction in 3D images. In IEEE International Conference on 3D Imaging (IC3D), Liège, Belgium, pages 1-8, December 2014. Keyword(s): Background subtraction, 3D, Range, Depth, Kinect. [bibtex-entry]



4. Antoine Lejeune, David Grogna, Marc Van Droogenbroeck, and Jacques Verly. Evaluation of pair-wise calibration techniques for range cameras and their ability to detect a mis-alignment. In International Conference on 3D Imaging (IC3D), Liège, Belgium, December 2014. Keyword(s): 3D, Range, Calibration, Depth, Time-of-Flight, Multi-camera. [bibtex-entry]



5. Julien Osmalskyj, Marc Van Droogenbroeck, and Jean-Jacques Embrechts. Performances of low-level audio classifiers for large-scale music similarity. In International Conference on Systems, Signals and Image Processing (IWSSIP), Dubrovnik, Croatia, May 2014. Keyword(s): Audio features, Classification, Song, Music Information Retrieval, Rejector, Similarity. [bibtex-entry]



6. Sébastien Piérard, Alejandro Marcos Alvarez, Antoine Lejeune, and Marc Van Droogenbroeck. On-the-fly Domain Adaptation of Binary Classifiers. In Belgian-Dutch Conference on Machine Learning (BENELEARN), Brussels, Belgium, June 2014. Keyword(s): Classifier, Machine learning. [bibtex-entry]



7. Sébastien Piérard, Samir Azrour, Rémy Phan-Ba, and Marc Van Droogenbroeck. Detection and characterization of gait modifications, for the longitudinal follow-up of patients with neurological diseases, based on the gait analyzing system GAIMS. In European Life Sciences Summit BIOMEDICA, Maastricht, The Netherlands, June 2014. Keyword(s): GAIMS, Gait, Follow-up, Patient, Multiple sclerosis. [bibtex-entry]



8. Sébastien Piérard, Samir Azrour, and Marc Van Droogenbroeck. Design of a reliable processing pipeling for the non-intrusive measurement of feet trajectories with lasers. In International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Florence, Italy, pages 4399-4403, May 2014. Keyword(s): GAIMS, Feet, Multiple sclerosis. [bibtex-entry]



9. Sébastien Piérard, R. Phan-Ba, and Marc Van Droogenbroeck. Machine learning techniques to assess the performance of a gait analysis system. In European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN), Bruges, Belgium, pages 419-424, April 2014. Keyword(s): GAIMS, Feet, Machine learning. [bibtex-entry]

1. Samir Azrour, Sébastien Piérard, and Marc Van Droogenbroeck. Using gait measuring system (GAIMS) to discriminate patients with multiple sclerosis from healthy persons. In BEMEKO Workshop on measurement: Challenges and Opportunities, Liège, Belgium, November 2013. [bibtex-entry]



2. Benjamin Laugraud, Sébastien Piérard, and Marc Van Droogenbroeck. Metrics to evaluate binary classifiers for video background extraction: weaknesses, strengths, and perspectives. In BEMEKO Workshop on measurement: Challenges and Opportunities, Liège, Belgium, November 2013. [bibtex-entry]



3. Julien Osmalskyj, Sébastien Piérard, Marc Van Droogenbroeck, and Jean-Jacques Embrechts. Efficient database pruning for large-scale cover song recognition. In International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2013), Vancouver, Canada, May 2013. Keyword(s): Song, Recognition, Million Song Dataset, Music Information Retrieval, Chromas, Rejectors, Cover Songs. [bibtex-entry]



4. Rémy Phan-Ba, G. Delrue, Sébastien Piérard, E. Lommers, P. Calay, Marc Van Droogenbroeck, and V. Delvaux. Influence of the mode of walk on walking speed in multiple sclerosis: are you walking comfortably?. In Twenty-third meeting of the European Neurological Society, Barcelona, Spain, June 2013. Keyword(s): GAIMS, Multiple Sclerosis, Gait, Walking speed. [bibtex-entry]



5. Sébastien Piérard, Samir Azrour, and Marc Van Droogenbroeck. Measuring feet trajectories: challenges and applications. In BEMEKO Workshop on measurement: Challenges and Opportunities, Liège, Belgium, November 2013. Keyword(s): GAIMS, Feet, Tracking, Multiple sclerosis, Biometric identification. [bibtex-entry]

1. Antoine Lejeune, Marc Van Droogenbroeck, and Jacques Verly. Adaptive bilateral filtering for range images. In URSI Benelux Forum, Ghent, Belgium, September 2012. Keyword(s): 3D, Depth, Range camera, Bilateral filter, Kinect, Time-of-flight. [bibtex-entry]



2. Julien Osmalskyj, Jean-Jacques Embrechts, Marc Van Droogenbroeck, and Sébastien Piérard. Neural networks for musical chords recognition. In Journées d'informatique musicale, Mons, Belgium, pages 39-46, May 2012. Keyword(s): Chord, Recognition, Neural network, Classification. [bibtex-entry]



3. Rémy Phan-Ba, Sébastien Piérard, Gustave Moonen, Marc Van Droogenbroeck, and Shibeshih Mitiku Belachew. Deciphering distance-induced deceleration of gait and ataxia in people with multiple sclerosis. In Congress of the European Committee for Treatment and Research in Multiple Sclerosis (ECTRIMS), Lyon, France, October 2012. Keyword(s): GAIMS, Multiple Sclerosis, Gait, Gait deceleration, Outcome measure. [bibtex-entry]



4. Rémy Phan-Ba, Sébastien Piérard, Gustave Moonen, Marc Van Droogenbroeck, and Shibeshih Mitiku Belachew. Detection and Quantification of Efficiency and Quality of Gait Impairment in Multiple Sclerosis through Foot Path Analysis. In Congress of the European Committee for Treatment and Research in Multiple Sclerosis (ECTRIMS), Lyon, France, October 2012. Keyword(s): GAIMS, Multiple Sclerosis, Gait, Outcome measure. [bibtex-entry]



5. Sébastien Piérard, Vincent Pierlot, Antoine Lejeune, and Marc Van Droogenbroeck. I-see-3D! An Interactive and Immersive System that dynamically adapts 2D projections to the location of a user's eyes. In International Conference on 3D Imaging (IC3D), Liège, Belgium, December 2012. Keyword(s): 3D, Projection, Immersion, Calibration, Pinhole, Head coupled perspective, Tracking, Kalman filtering, OpenGL, Laser, Kinect. [bibtex-entry]



6. Sébastien Piérard and Marc Van Droogenbroeck. Estimation of human orientation based on silhouettes and machine learning principles. In International Conference on Pattern Recognition Applications and Methods (ICPRAM), volume 2, Vilamoura, Portugal, pages 51-60, February 2012. Keyword(s): Human, Orientation, Machine learning, Regression, Estimation, MakeHuman. [bibtex-entry]



7. Sébastien Piérard and Marc Van Droogenbroeck. On the human pose recovery based on a single view. In International Conference on Pattern Recognition Applications and Methods (ICPRAM), volume 2, Vilamoura, Portugal, pages 310-315, February 2012. Keyword(s): Human, Silhouette, Pose, Pose recovery, Pose estimation. [bibtex-entry]



8. Marc Van Droogenbroeck and Olivier Paquot. Background Subtraction: Experiments and Improvements for ViBe. In Change Detection Workshop (CDW), in conjunction with CVPR, Providence, Rhode Island, pages 32-37, June 2012. Keyword(s): ViBe, Video, Background subtraction, Background modelling, Motion detection. [bibtex-entry]

1. Antoine Lejeune, Sébastien Piérard, Marc Van Droogenbroeck, and Jacques Verly. A new jump edge detection method for 3D cameras. In International Conference on 3D Imaging (IC3D), Liège, Belgium, pages 1-7, December 2011. Keyword(s): 3D, Depth, Range, Distance, ToF camera, Edge, Edge detection, Canny, Kinect. [bibtex-entry]



2. Vincent Pierlot, Maxime Urbin-Choffray, and Marc Van Droogenbroeck. A new three object triangulation algorithm based on the power center of three circles. In Research and Education in Robotics (EUROBOT), volume 161 of Communications in Computer and Information Science, pages 248-262, 2011. Springer. Keyword(s): Positioning, Ultrasonic sensor, Sensor, Microcontroller, Mobile robot, Robot, Robot sensing system, Software. [bibtex-entry]



3. Vincent Pierlot and Marc Van Droogenbroeck. Analysis of a robot positioning system based on a rotating receiver, beacons, and coded signals. In Proceedings of the European Signal Processing Conference (EUSIPCO), Barcelona, Spain, pages 1766-1770, August 2011. Keyword(s): Robot, Positioning, Beacon, BeAMS. [bibtex-entry]



4. Sébastien Piérard, Antoine Lejeune, and Marc Van Droogenbroeck. A probabilistic pixel-based approach to detect humans in video streams. In International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Prague, Czech Republic, pages 921-924, May 2011. Keyword(s): Human, Detection, Silhouette, Background subtraction. [bibtex-entry]



5. Sébastien Piérard, Damien Leroy, Jean-François Hansen, and Marc Van Droogenbroeck, Marc. Estimation of human orientation in images captured with a range camera. In Advanced Concepts for Intelligent Vision Systems (ACIVS), volume 6915 of Lecture Notes in Computer Science, pages 519-530, 2011. Springer. Keyword(s): Human, Orientation, Depth, Range camera, Machine learning, MakeHuman. [bibtex-entry]



6. S. Piérard, Marc Van Droogenbroeck, Rémy Phan-Ba, and Shibeshih Mitiku Belachew. A new low-cost and non-intrusive feet tracker. In Workshop on Circuits, Systems and Signal Processing (ProRISC), Veldhoven, The Netherlands, November 2011. Keyword(s): GAIMS, Human, Feet, Walking, Laser, Measure, Path, Range laser, Multiple Sclerosis. [bibtex-entry]



7. Marc Van Droogenbroeck and Sébastien Piérard. Object descriptors based on a list of rectangles: method and algorithm. In International Symposium on Mathematical Morhology (ISMM), volume 6671 of Lecture Notes on Computer Science, Ispra, Italy, pages 155-165, 2011. Springer. Keyword(s): Algorithm, Rectangle, Opening, Mathematical morphology, Source code. [bibtex-entry]

1. Olivier Barnich, Sébastien Piérard, and Marc Van Droogenbroeck. A virtual curtain for the detection of humans and access control. In Advanced Concepts for Intelligent Vision Systems (ACIVS 2010), Part II, Sydney, Australia, pages 98-109, December 2010. Keyword(s): Detection, Human, Access control, Curtain, Silhouette, Laser, Sensor, Machine learning, Training, Door. [bibtex-entry]



2. Vincent Pierlot, P. Tassin, and Marc Van Droogenbroeck. A new precise ultrasonic range sensor based on the emission of two coded FSK signals combined to a ping-pong strategy. In Conference on Research in Information and communication Technology, Veldhoven, The Netherlands, pages 36-39, November 2010. Keyword(s): Ultrasonic sensor, Sensor, Microcontroller, Mobile robot, Robot, Robot sensing system. [bibtex-entry]



3. Sébastien Piérard, Antoine Lejeune, and Marc Van Droogenbroeck. 3D information is valuable for the detection of humans in video streams. In Proceedings of 3D Stereo MEDIA, Liège, Belgium, December 2010. Keyword(s): 3D, Depth, Range, Distance, ToF camera, Human, Detection, MakeHuman. [bibtex-entry]



4. Sébastien Piérard, Vincent Pierlot, Olivier Barnich, Marc Van Droogenbroeck, and jacques Verly. A platform for the fast interpretation of movements and localization of users in 3D applications driven by a range camera. In 3DTV Conference, Tampere, Finland, June 2010. Keyword(s): 3D, Localization, Laser, Camera. [bibtex-entry]

1. Olivier Barnich and Marc Van Droogenbroeck. Design of a morphological moving object signature and application to human identification. In International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2009), pages 853-856, April 2009. Keyword(s): Video, Gait recognition, Mathematical morphology, Background subtraction. [bibtex-entry]



2. Olivier Barnich and Marc Van Droogenbroeck. ViBe: a powerful random technique to estimate the background in video sequences. In International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2009), pages 945-948, April 2009. Note: PDF available on the University site or at the IEEE. Keyword(s): ViBe, Video, Background subtraction, Background modelling, Motion detection. [bibtex-entry]



3. J. Leens, Sébastien Piérard, Olivier Barnich, Marc Van Droogenbroeck, and Jean-Marc Wagner. Combining Color, Depth, and Motion for Video Segmentation. In Computer Vision Systems, volume 5815 of Lecture Notes in Computer Science, pages 104-113, 2009. Springer. Keyword(s): Range, 3D, Distance, ToF camera, Motion, Segmentation. [bibtex-entry]



4. Vincent Pierlot and Marc Van Droogenbroeck. A simple and low cost angle measurement system for mobile robot positioning. In Workshop on Circuits, Systems and Signal Processing (ProRISC), Veldhoven, The Netherlands, pages 251-254, November 2009. Keyword(s): Positioning, Localisation, Robot, Eurobot, Angle, Angle measurement, BeAMS. [bibtex-entry]



5. Sébastien Piérard, Jéröme Leens, and Marc Van Droogenbroeck. Real-time processing of depth and color video streams to improve the reliability of depth maps. In Proceedings of 3D Stereo MEDIA, Liège, Belgium, November 2009. Keyword(s): 3D, Depth, Range, Distance, ToF camera, Background subtraction, Motion detection, Segmentation. [bibtex-entry]



6. Sébastien Piérard and Marc Van Droogenbroeck. A technique for building databases of annotated and realistic human silhouettes based on an avatar. In Workshop on Circuits, Systems and Signal Processing (ProRISC), Veldhoven, The Netherlands, pages 243-246, November 2009. Keyword(s): Human, Silhouette, Avatar, Database, Annotation, Body, MakeHuman. [bibtex-entry]



7. Sébastien Piérard and Marc Van Droogenbroeck. Techniques to improve the foreground segmentation with a 3D camera and a color camera. In Workshop on Circuits, Systems and Signal Processing (ProRISC), Veldhoven, The Netherlands, pages 247-250, November 2009. Keyword(s): 3D, Acquisition, Range, Calibration, Foreground segmentation, Background extraction, ToF camera, Distance. [bibtex-entry]

1. Renaud Dardenne, Jean-Jacques Embrechts, Marc Van Droogenbroeck, and Nicola Werner. A video-based human-computer interaction system for audio-visual immersion. In Proceedings of SPS-DARTS 2006, Antwerp, Belgium, pages 23-26, March 2006. IEEE Benelux. Keyword(s): Multimedia, Video, Audio, Interaction, Immersion. [bibtex-entry]

1. Cédric Demoulin and Marc Van Droogenbroeck. A method based on multiple adaptive windows to improve the determination of disparity maps. In ProRISC/IEEE Workshop on Circuit, Systems and Signal Processing, Veldhoven, The Netherlands, pages 615-618, November 2005. Keyword(s): Stereo, Vision. [bibtex-entry]

1. Marc Van Droogenbroeck. Partial encryption of images for real-time applications. In Fourth IEEE Signal Processing Symposium, Hilvarenbeek, The Netherlands, pages 11-15, April 2004. Note: Invited presentation. Keyword(s): Image processing, Information, Encryption, Selective encryption. [bibtex-entry]

1. Fabian Lapierre, Marc Van Droogenbroeck, and Jacques Verly. New Solutions to the Problem of Range Dependence in Bistatic STAP Radars. In Proceedings of the IEEE Radar Conference, Huntsville, Alabama, pages 452-459, May 2003. Keyword(s): Radar, STAP. [bibtex-entry]



2. Fabian Lapierre, Marc Van Droogenbroeck, and Jacques Verly. New methods for handling the range dependence of the clutter spectrum in non-sidelooking monostatic STAP radars. In International Conference on Acoustics, Speech, and Signal Processing (ICASSP), volume 5, Hong Kong, China, pages 73-76, April 2003. Keyword(s): Radar, STAP. [bibtex-entry]



3. Fabian Lapierre and Jacques Verly. Registration-based solutions to the range-dependence problem in STAP radars. In Adaptive Sensor Array Processing (ASAP) workshop, MIT Lincoln Laboratory, Boston, March 2003. Keyword(s): Radar, STAP. [bibtex-entry]



4. Marc Van Droogenbroeck and Hugues Talbot. Segmentation by adaptive prediction and region merging. In Digital Image Computing Techniques and Applications, Volume II, Sydney, Australia, pages 561-570, December 2003. Keyword(s): Image processing, Extrapolation, Segmentation, Texture, Prediction. [bibtex-entry]

1. S. De Grève, Fabian Lapierre, and Jacques Verly. Study of unification of suboptimum methods applied to STAP radars. In URSI Forum, Royal Military Academy, Belgium, December 2002. Keyword(s): Radar, STAP. [bibtex-entry]



2. Fabian Lapierre, Marc Van Droogenbroeck, and Jacques Verly. Comparison of methods for handling the range-dependence of the clutter ridge for monostatic and bistatic STAP radars. In URSI Forum, Royal Military Academy, Belgium, December 2002. Keyword(s): Radar, STAP. [bibtex-entry]



3. Fabian Lapierre and Jacques Verly. Evaluation of a monostatic STAP radar range-compensation method applied to selected bistatic configurations. In 3rd IEEE Benelux Signal Processing Symposium, Leuven, Belgium, pages 161-164, March 2002. Keyword(s): Radar, STAP. [bibtex-entry]



4. Frédéric Noo, R. Clackdoyle, and Jean-Marc Wagner. 3D Image Reconstruction from Exponential X-ray Projections: a Completeness Condition and an inversion Formula. In Conference Record of the 2001 IEEE Nuclear Symposium and Medical Imaging Conference, IEEE Catalog Number 0-7803-7324-3 abstract number M9C-4, San Diego, USA, November 2002. Keyword(s): Tomography, SPECT, Attenuation Correction, Exponential Radon transform, Exponential X-ray. [bibtex-entry]



5. Marc Van Droogenbroeck and Raphaël Benedet. Techniques for a selective encryption of uncompressed and compressed images. In Advanced Concepts for Intelligent Vision Systems (ACIVS), Ghent, Belgium, pages 90-97, September 2002. Keyword(s): Image processing, Information, Steganography, Encryption. [bibtex-entry]



6. Marc Van Droogenbroeck and Jérôme Delvaux. An entropy based technique for information embedding in images. In IEEE Signal Processing Symposium, Leuven, Belgium, pages 81-84, March 2002. Keyword(s): Image processing, Information, Steganography. [bibtex-entry]



7. Jean-Marc Wagner, Frédéric Noo, R. Clackdoyle, G. Bal, and P. Christian. Attenuation Correction for Rotating Slant-Hole (RSH) SPECT using Exact Rebinning. In Conference Record of the 2001 IEEE Nuclear Symposium and Medical Imaging Conference, IEEE Catalog Number 0-7803-7324-3 abstract number M8-5, San Diego, USA, November 2002. Keyword(s): Tomography, SPECT, Attenuation correction, RSH. [bibtex-entry]

1. Fabian Lapierre. Range dependence in bistatic radars for STAP: problem formulation and proposed solutions. In URSI Forum, Louvain-la-Neuve, Belgium, December 2001. Keyword(s): Radar, STAP. [bibtex-entry]



2. Frédéric Noo, R. Clackdoyle, and Jean-Marc Wagner. Inversion of the 3-D Exponential X-ray Transform for a Semi Equatorial Band. In 2001 International Meeting on Fully Three-Dimensional Image Reconstruction in Radiology and Nuclear Medicine, Asilomar, USA, November 2001. Keyword(s): Tomography, SPECT, Attenuation Correction, Exponential Radon transform, Exponential X-ray. [bibtex-entry]



3. Jean-Marc Wagner, Frédéric Noo, and R. Clackdoyle. 3D Image reconstruction from exponential X-ray projections using Neumann series. In Conference Record of the 2001 IEEE International Conference on Acoustics, Speech, and Signal Processing, Salt Lake City, USA, pages III:2017-2020, May 2001. Keyword(s): Tomography, SPECT, Exponential Radon transform, Exponential X-ray. [bibtex-entry]



4. Jean-Marc Wagner, Frédéric Noo, and R. Clackdoyle. Exact Inversion of the Exponential X-ray Transform for RSH SPECT. In 2001 International Meeting on Fully Three-Dimensional Image Reconstruction in Radiology and Nuclear Medicine, Asilomar, USA, November 2001. Keyword(s): Tomography, SPECT, Attenuation Correction, Exponential Radon transform, RSH. [bibtex-entry]

1. Jean-Marc Wagner and Frédéric Noo. TTR algorithm for the inversion of the exponential X-ray transform. In Conference Record of the 2000 IEEE Nuclear Symposium and Medical Imaging Conference, Lyon, France, October 2000. Keyword(s): Tomography, SPECT, Attenuation Correction, Exponential Radon transform, Exponential X-ray, TTR. [bibtex-entry]

1. Jean-Marc Wagner and Frédéric Noo. Méthode du linogramme octogonal pour la reconstruction d'une image 3D à partir de ses intégrales de plan. In Dix-septième colloque GRETSI sur le Traitement du Signal et des Images, Vannes, France, Septembre 1999. Keyword(s): Tomography, 3D Radon transform, Linogram. [bibtex-entry]

1. Julien De Praetere, Philippe Maricau, and Marc Van Droogenbroeck. Data networks integration. In 37th European Telecommunications Congress. FITCE'98. Diverging roles in a converging marketplace, volume 17, London, pages 128-131, August 1998. British Telecommunications Engineering. Keyword(s): Telecommunications, Network. [bibtex-entry]

1. Emmanuel Van Tomme, Marc Van Droogenbroeck, and Peter Debie. Narrowband versus broadband for tele-education : a critical evaluation. In International Conference on Technology Supported Learning, Berlin, pages 200-207, November 1996. Online Educa Berlin. Keyword(s): Telecommunications, Learning. [bibtex-entry]

1. Marc Van Droogenbroeck. A methodology for image segmentation based on the spectral content of regions. In Workshop on Nonlinear Signal and Image Processing, Neos Marmaras, Greece, pages 266-269, June 1995. IEEE. Keyword(s): Image processing, Segmentation, Extrapolation, Deconvolution. [bibtex-entry]

1. Marc Van Droogenbroeck. Polymorphism, an extension of binary opening. In ISMM'94: Second international conference on Mathematical Morphology and its Applications to Image Processing, Fontainebleau, pages 1-2, September 1994. École des Mines de Paris. Keyword(s): Image processing, Mathematical morphology. [bibtex-entry]

1. B. Simon, B. Macq, and Marc Van Droogenbroeck. Morphological image sketch coding. In Workshop on Circuits, Systems and Signal Processing, Houthalen, Belgium, pages 251-256, March 1993. ProRISC IEEE. Keyword(s): Image processing, Mathematical morphology, Coding. [bibtex-entry]

1. Serge Comes, Stéphane Maes, and Marc Van Droogenbroeck. Recent and prospective decorrelation techniques for image processing. In International Symposium on Signals, Systems and Electronics, Paris, pages 136-141, September 1992. URSI. Keyword(s): Image processing, Coding, Compression. [bibtex-entry]



2. Stéphane Maes and Marc Van Droogenbroeck. Edge characterization in hierarchical subband coding schemes. In International Conference on Image Processing and its Applications, Maastricht, The Netherlands, pages 598-601, April 1992. IEE. Keyword(s): Image processing, Compression, Coding, Subband. [bibtex-entry]



3. Marc Van Droogenbroeck. Generalized iterative algorithm for spectral signal deconvolution. In European Signal Processing Conference, pages 1389-1392, August 1992. Brussels, EURASIP. Keyword(s): Image processing, Extrapolation, Deconvolution. [bibtex-entry]



4. Marc Van Droogenbroeck and Luc Vandendorpe. Integration of the selective deconvolution algorithm into a multiresolution scheme. In Image Processing: Algorithms and Techniques III, Vol. 1657, San Jose, pages 225-235, February 1992. SPIE. Keyword(s): Image processing, Extrapolation, Deconvolution. [bibtex-entry]

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