Profil

Gosselin Bernard

Université de Mons - UMONS > Faculté Polytechnique > Service Information, Signal et Intelligence artificielle

Université de Mons - UMONS > Faculté Polytechnique > Information, Signal et Intelligence artificielle

Main Referenced Co-authors
MANCAS, Matei  (64)
DUTOIT, Thierry  (22)
THILLOU, Céline  (18)
Riche, Nicolas  (15)
Unay, Devrim (14)
Main Referenced Keywords
counting (3); EEG (3); Electrical and Electronic Engineering (3); YOLOv5 (3); attention (2);
Main Referenced Unit & Research Centers
CRTI - Centre de Recherche en Technologie de l'Information (13)
BIOSYS - Biosys (7)
CIPSE - Centre de recherche interdisciplinaire en Psychophysiologie et Electrophysiologie de la cognition (2)
CREMH - Mind & Health (1)
Main Referenced Disciplines
Computer science (102)
Electrical & electronics engineering (32)
Library & information sciences (21)
Physics (9)
Engineering, computing & technology: Multidisciplinary, general & others (6)

Publications (total 136)

The most downloaded
527 downloads
Rocca, F., Mancas, M., & Gosselin, B. (2014). Head Pose Estimation by Perspective-n-Point Solution Based on 2D Markerless Face Tracking. In Intelligent Technologies for Interactive Entertainment. Reidsma, Dennis. https://hdl.handle.net/20.500.12907/41669

The most cited

229 citations (Scopus®)

Riche, N., Duvinage, M., Mancas, M., Gosselin, B., & Dutoit, T. (2013). Saliency and Human Fixations: State-of-the-art and Study of Comparison Metrics [Paper presentation]. international Computer Vision, Sydney, Australia. https://hdl.handle.net/20.500.12907/41517

Duvivier, V., Rocca, F., Kinart, A., Dave, M., Mancas, M., Gosselin, B., Van daele, A., Derobertmasure, A., & Demeuse, M. (28 August 2024). Simulating and Supporting Pre-Service Teachers' Activities in Professional Training Presentation of the ARC Sim’Pro project [Poster presentation]. 22ème édition triennale du Congrès International de l'Association Ergonomique, Jeju, South Korea.

La fisca, L., Jennebauffe, C., Bruyneel, M., Ris, L., Lefebvre, L., Siebert, X., & Gosselin, B. (2023). Enhancing OSA Assessment with Explainable AI. Annual International Conference of the IEEE Engineering in Medicine and Biology Society.
Peer reviewed

Ennadifi, E., Ravet, T., Mancas, M., Mokhtari, M. E. A., & Gosselin, B. (2023). Enhancing VR Gaming Experience using Computational Attention Models and Eye-Tracking. ACM International Conference on Interactive Media Experiences (IMX).
Peer reviewed

Mokhtari, M. E. A., Mancas, M., Vandenbulcke, V., Ennadifi, E., Laraba, S., Tazir, M., & Gosselin, B. (2023). Efficient Action Recognition for Drones: A Comparative Study of Lightweight and Traditional Models [Paper presentation]. European Test and Telemetry Conference, Toulouse, France.

Rocca, F., Dave, M., Duvivier, V., Van Daele, A., Demeuse, M., Derobertmasure, A., Mancas, M., & Gosselin, B. (2023). Designing an Assistance Tool for Analyzing and Modeling Trainer Activity in Professional Training Through Simulation. Proceedings of ACM International Conference on Interactive Media Experiences (IMX ’23). doi:10.1145/3573381.3596475
Peer reviewed

La fisca, L., Jennebauffe, C., Bruyneel, M., Ris, L., Lefebvre, L., Siebert, X., & Gosselin, B. (2023). Explainable AI for EEG Biomarkers Identification in Obstructive Sleep Apnea Severity Scoring Task. Proceedings IEEE/EMBS Conference on Neural Engineering (NER).
Peer reviewed

La Fisca, L., Vandenbulcke, V., Wauthia, E., Miceli, A., Simoes Loureiro, I., Ris, L., Lefebvre, L., Gosselin, B., & Pernet, C. R. (22 November 2022). Biases in BCI experiments: Do we really need to balance stimulus properties across categories? Frontiers in Computational Neuroscience, 16. doi:10.3389/fncom.2022.900571
Peer Reviewed verified by ORBi

Hubens, N., Mancas, M., Gosselin, B., Preda, M., & Zaharia, T. (November 2022). FasterAI: A Lightweight Library for Neural Networks Compression. Electronics, 11 (22), 3789. doi:10.3390/electronics11223789
Peer Reviewed verified by ORBi

Hubens, N., Mancas, M., Gosselin, B., Preda, M., & Zaharia, T. (2022). One-Cycle Pruning: Pruning Convnets With Tight Training Budget. 2022 IEEE International Conference on Image Processing (ICIP). doi:10.1109/icip46576.2022.9897980
Peer reviewed

Mokhtari, M. E. A., Vandenbulcke, V., Laraba, S., Mancas, M., Ennadifi, E., Tazir, M., & Gosselin, B. (2022). Semi-synthetic Data for Automatic Drone Shadow Detection. ESANN.
Peer reviewed

Ennadifi, E., Dandrifosse, S., Mokhtari, M. E. A., Carlier, A., Laraba, S., Mercatoris, B., & Gosselin, B. (2022). Local Unsupervised Wheat Head Segmentation. ICCP 2022.
Peer reviewed

La Fisca, L., & Gosselin, B. (12 July 2022). A Hybrid Framework for ERP Preprocessing in EEG Experiments [Poster presentation]. 44th International Engineering in Medicine and Biology Conference (EMBC 2022).
Peer reviewed

Dandrifosse, S., Ennadifi, E., Carlier, A., Gosselin, B., Dumont, B., & Mercatoris, B. (2022). Contrasted-Fertilization Wheat Ear Dataset 2020. doi:10.5281/zenodo.5709821

Dandrifosse, S.* , Ennadifi, E.* , Carlier, A., Gosselin, B., Dumont, B., & Mercatoris, B. (2022). Deep Learning for Wheat Ear Segmentation and Ear Density Measurement: From Heading to Maturity. Computers and Electronics in Agriculture.
Peer Reviewed verified by ORBi
* These authors have contributed equally to this work.

Dandrifosse, S., Ennadifi, E., Carlier, A., Gosselin, B., Dumont, B., & Mercatoris, B. (2022). Effect of the sun on the measurement of wheat ear density by deep learning. The 15th International Conference on Precision Agriculture.
Peer reviewed

Kong, P., Mancas, M., Gosselin, B., & Po, K. (June 2022). DeepRare: Generic Unsupervised Visual Attention Models. Electronics, 11 (11), 1696. doi:10.3390/electronics11111696
Peer reviewed

Hubens, N., Mancas, M., Gosselin, B., Preda, M., & Zaharia, T. (2022). Improve Convolutional Neural Network Pruning by Maximizing Filter Variety. In S. Sclaroff (Ed.), Image Analysis and Processing – ICIAP 2022 - 21st International Conference, 2022, Proceedings. Springer Science and Business Media Deutschland GmbH. doi:10.1007/978-3-031-06427-2_32
Peer reviewed

Siv, R., Mancas, M., Gosselin, B., Valy, D., & Sreng, S. (2022). People Tracking and Re-Identifying in Distributed Contexts: Extension Study of PoseTReID. In M. Facta (Ed.), Proceedings - 9th International Conference on Electrical Engineering, Computer Science and Informatics, EECSI 2022. Institute of Electrical and Electronics Engineers Inc. doi:10.23919/EECSI56542.2022.9946587
Peer reviewed

Hubens, N., Mancas, M., Gosselin, B., Preda, M., & Zaharia, T. (25 November 2021). Introduction to Compression Techniques for Lighter Neural Networks [Paper presentation]. Workshop Energy4Climate, Paris, France.
Peer reviewed

Hubens, N., Mancas, M., Gosselin, B., Preda, M., & Zaharia, T. (2021). Fake-Buster: A Lightweight Solution for Deepfake Detection. Proceedings of SPIE: The International Society for Optical Engineering. doi:10.1117/12.2596317
Peer reviewed

Hubens, N., Mancas, M., Gosselin, B., Preda, M., & Zaharia, T. (2021). One-Cycle Pruning: Pruning ConvNets Under a Tight Training Budget [Paper presentation]. Sparsity in Neural Networks: Advancing Understanding and Practice, Remote, NULL.

La Fisca, L., & Gosselin, B. (27 May 2021). A Versatile Validation Framework for ERP and Oscillatory Brain Source Localization Using FieldTrip [Paper presentation]. International Conference on Biometric Engineering and Applications, Taiyuan, China. doi:10.1145/3476779.3476781
Peer reviewed

Siv, R., Mancas, M., Seng, S., Chhun, S., & Gosselin, B. (2020). People Tracking and Re-Identifying in Distributed Contexts: PoseTREID Framework and Dataset [Paper presentation]. International Conference on Information Technology and Electrical Engineering, Yogyarkarta, Indonesia.

Ennadifi, E., Laraba, S., Vincke, D., Mercatoris, B., & Gosselin, B. (2020). Wheat Diseases Classification and Localization Using Convolutional Neural Networks and GradCAM Visualization. IEEE ISCV2020.
Peer reviewed

Mancas, M., Kong, P., Gosselin, B., & Seng, S. (2020). Visual Attention: Deep Rare Features [Paper presentation]. International Conference on Imaging, Vision & Pattern Recognition (ICVPR), Fukuoka, Japan.

La Fisca, L., Dutoit, T., Lefebvre, L., Simoes Loureiro, I., Ris, L., & Gosselin, B. (21 January 2020). Deep Learning based Neurofeedback Targeting Semantic Memory in Alzheimer's Disease [Paper presentation]. 4th HBP Student Conference on Interdisciplinary Brain Research, Pisa, Italy.

Hubens, N., Mancas, M., Gosselin, B., Decombas, M., Preda, M., Zaharia, T., & Dutoit, T. (2020). An Experimental Study of the Impact of Pre-Training on the Pruning of a Convolutional Neural Network [Paper presentation]. APPIS 2020: Proceedings of the 3rd International Conference on Applications of Intelligent Systems, Las Palmas de Gran Canaria, Spain.

Milisavljevic, A., Le Bras, T., Mancas, M., Petermann, C., Gosselin, B., & Doré-Mazars, K. (2019). Towards a better description of visual exploration through temporal dynamic of ambient and focal modes [Paper presentation]. ACM Symposium on Eye Tracking Research & Applications, Denver, United States - Colorado.

Kong, P., Mancas, M., Nimol, T., Gosselin, B., & seng, K. (2018). DO DEEP-LEARNING SALIENCY MODELS REALLY MODEL SALIENCY? [Paper presentation]. IEEE International Conference on Image Processing, Athens, Greece.

Milisavljevic, A., Hammard, A., Petermann, C., Gosselin, B., Doré-Mazars, K., & Mancas, M. (2018). Eye and Mouse coordination during task: from behaviour to prediction [Paper presentation]. Conference on Human Computer Interaction Theory and Application, Madeira, Portugal.

Kong, P., Mancas, M., Gosselin, B., & seng, K. (2018). Generic and Effective Visual Attention [Paper presentation]. International Conference on Pattern Recognition and Artificial Intelligence, Montreal, Canada.

Marighetto, P., Coutrot, A., Riche, N., Guyader, N., Mancas, M., Gosselin, B., & Laganière, R. (2017). Audio-Visual Attention: Eye-Tracking Dataset and Analysis Toolbox [Paper presentation]. IEEE International Conference on Image Processing, Beijing, China.

Milisavljevic, A., Doré-Mazars, K., Gosselin, B., Mancas, M., & Petermann, C. (2017). What scroll can teach us about web users? [Paper presentation]. European Conference on Visual Perception, Berlin, Germany.

Marighetto, P., Hadj Abdelkader, I., Duzelier, S., Decombas, M., Riche, N., Jakubowicz, J., Mancas, M., Gosselin, B., & Laganière, R. (2016). FuNNRar: Hybrid Rarity/Learning Visual Saliency [Paper presentation]. IEEE International Conference on Image Processing, Phoenix, United States - Arizona.

Picart, B., Gosselin, B., Hupez, M., De Grève, Z., & Vallée, F. (2016). Application of Signal Processing Techniques for the Generation of Wind Profiles Dedicated to Electrical System Planning Tools [Paper presentation]. 51st International Universities' Power Engineering Conference, UPEC 2016, Coimbra, Portugal.

Decombas, M., Marighetto, P., Mancas, M., Cassagne, I., Riche, N., Gosselin, B., Dutoit, T., & Laganière, R. (2015). An Evaluation Criterion of Saliency Models for Video Seam Carving [Paper presentation]. 7th IEEE International Workshop on Multimedia Signal Processing (MMSP2015), Xiamen, China.

Leroy, J., Riche, N., Mancas, M., & Gosselin, B. (2015). 3D Saliency Based on Supervoxels Rarity in Point Clouds [Paper presentation]. Symposium on Attention in Cognitive Systems, Hamburg, Germany.

Cassagne, I., Riche, N., Decombas, M., Mancas, M., Gosselin, B., Dutoit, T., & Laganière, R. (2015). Video saliency based on rarity prediction: HYPERAPTOR [Paper presentation]. 23rd European Signal Processing Conference (EUSIPCO 2015), Nice, France.

Rocca, F., De Deken, P.-H., Grisard, F., Mancas, M., & Gosselin, B. (2015). Real-Time Marker-Less Implicit Behavior Tracking for User Profiling in a TV Context. casa 2015 : 28th international conference on computer animation and social agents 2015 - Proceedings Short Papers (ISBN: 978-981-09-4946-4 ).
Peer reviewed

Rocca, F., Mancas, M., Grisard, F., Leroy, J., Ravet, T., & Gosselin, B. (2015). Head pose estimation & TV Context: current technology. EAI Endorsed Transactions on Creative Technologies.
Peer Reviewed verified by ORBi

Rocca, F., Mancas, M., & Gosselin, B. (2014). Head Pose Estimation by Perspective-n-Point Solution Based on 2D Markerless Face Tracking. In Intelligent Technologies for Interactive Entertainment. Reidsma, Dennis.

Leroy, J., Riche, N., Mancas, M., Gosselin, B., & Dutoit, T. (2014). SuperRare: an Object-oriented Saliency Algorithm Based on Superpixels Rarity [Paper presentation]. IEEE International Conference on Robotics and Automation (ICRA 2014), Hong Kong, China.

Leroy, J., Rocca, F., & Gosselin, B. (2013). Proxemics Measurement During Social Anxiety Disorder Therapy Using a RGBD Sensors Network [Paper presentation]. MICCAI 2013 workshop on Bio-Imaging and Visualization for Patient-Customized Simulations, Nagoya, Japan.

Mibulumukini, M., Riche, N., Mancas, M., Gosselin, B., & Dutoit, T. (2013). BIOLOGICALLY PLAUSIBLE CONTEXT RECOGNITION ALGORITHMS [Paper presentation]. ICIP 2013, Melbourne, Australia.

Decombas, M., Riche, N., Dufaux, F., Pesquet-Popescu, B., Mancas, M., Gosselin, B., & Dutoit, T. (2013). Spatio-Temporal Saliency Based on Rare Model [Paper presentation]. ICIP 2013, Melbourne, Australia.

Riche, N., Mancas, M., Duvinage, M., Mibulumukini, M., Gosselin, B., & Dutoit, T. (2013). RARE2012: A multi-scale rarity-based saliency detection with its comparative statistical analysis. Signal Processing: Image Communication.
Peer Reviewed verified by ORBi

Riche, N., Duvinage, M., Mancas, M., Gosselin, B., & Dutoit, T. (2013). Saliency and Human Fixations: State-of-the-art and Study of Comparison Metrics [Paper presentation]. international Computer Vision, Sydney, Australia.

Riche, N., Duvinage, M., Mancas, M., Gosselin, B., & Dutoit, T. (2013). A study of parameters affecting visual saliency assessment [Paper presentation]. 6th International Symposium on Attention in Cognitive Systems, Beijing, China.

Mancas, M., Dutoit, T., D'alessandro, N., Siebert, X., Gosselin, B., & Valderrama, C. (2013). Intelligent Technologies for Interactive Entertainment: 5th International ICST Conference, INTETAIN 2013 [Paper presentation]. 5th International ICST Conference, INTETAIN 2013, Mons, Belgium.

Leroy, J., Rocca, F., Mancas, M., & Gosselin, B. (2013). 3D Head Pose Estimation for TV Setups. In Intelligent Technologies for Interactive Entertainment. Springer.

Leroy, J., Rocca, F., Mancas, M., & Gosselin, B. (2013). Second screen interaction: an approach to infer TV watcher's interest using 3D head pose estimation [Paper presentation]. LiME, Rio de Janeiro, Brazil.

Ben Madhkour, R., Mancas, M., & Gosselin, B. (2013). Automatic Geometric projector calibration: Application to a 3D real-time visual feedback [Paper presentation]. International conference on Computer Vision Theory and Apllications, Barcelona, Spain.

Ben Madhkour, R., Burczykowski, L., Mancas, M., & Gosselin, B. (2013). Image Surround: Automatic Projector Calibration for Indoor Adaptive Projection. In Intelligent Technologies for Interactive Entertainment (pp. 156-162). Springer.

Riche, N., Mancas, M., CULIBRK, D., CRNOJEVIC, V., Gosselin, B., & Dutoit, T. (2012). Dynamic saliency models and human attention: a comparative study on videos [Paper presentation]. Proceedings of the 11th Asian Conference on Computer Vision (ACCV), Daejeon, South Korea.

Riche, N., Mancas, M., Gosselin, B., & Dutoit, T. (2012). RARE: a New Bottom-Up Saliency Model [Paper presentation]. IEEE ICIP, Orlando, United States - Florida.

Descamps, A., Carincotte, C., & Gosselin, B. (2011). Person Detection for Indoor Videosurveillance using Spatio-Temporal Integral Features [Paper presentation]. InterHub 2011 : Workshop on Interactive Human Behavior Analysis in Open or Public Spaces, Amsterdam, Netherlands.

Mancas, M., Riche, N., Leroy, J., Gosselin, B., & Dutoit, T. (2011). 'Toward a Social Attentive Machine' [Paper presentation]. AAAI Fall Symposia, Washington, United States - District of Columbia.

Mancas, M., Riche, N., Leroy, J., & Gosselin, B. (2011). Abnormal motion selection in crowds using bottom-up saliency [Paper presentation]. ICIP 2011 : 2011 IEEE International Conference on Image Processing, Bruxelles, Belgium.

Riche, N., Mancas, M., Gosselin, B., & Dutoit, T. (2011). 3D  Saliency  for  Abnormal  Motion  Selection:   the  Role  of  the  Depth  Map [Paper presentation]. ICVS, Sophia Antipolis, France.

Leroy, J., Riche, N., Zajega, F., Mancas, M., Tilmanne, J., Gosselin, B., & Dutoit, T. (2011). The Attentive Machine: be Different! [Paper presentation]. INTETAIN 2011, Genoa, Italy.

Leroy, J., Mancas, M., & Gosselin, B. (2011). Personal space augmented reality tool [Paper presentation]. 32nd WIC Symposium on Information Theory in the Benelux, Université Libre de Bruxelles, Brussels, Belgium.

Unay, D., Gosselin, B., Kleynen, O., Leemans, V., Destain, M.-F., & Debeir, O. (18 January 2011). Automatic grading of Bi-colored apples by multispectral machine vision. Computers and Electronics in Agriculture, 75 (1), 203-212.
Peer Reviewed verified by ORBi

Mancas, M., & Gosselin, B. (2010). Dense crowd analysis through bottom-up and top-down attention [Paper presentation]. Proc. of the Brain Inspired Cognitive Sytems (BICS 2010), Madrid, Spain.

Gosselin, B. (2009). Analyse et Traitement Numérique des Images Médicales.

Dubuisson, T., Dutoit, T., Gosselin, B., & Remacle, M. (2009). Discrimination between normal and pathological voices by using correlations between acoustic descriptors [Paper presentation]. Advanced Voice Function Assessment Workshop, Madrid, Spain.

Demeyer, J., Dubuisson, T., Dutoit, T., Gosselin, B., & Remacle, M. (2009). Glottis segmentation with a high-speed glottography : a fully automatic method [Paper presentation]. Advanced Voice Function Assessment Workshop, Madrid, Spain.

Linze, N., Kouahou, A., Nkuitang, B., Moeyaert, V., Bette, S., Gosselin, B., & Mégret, P. (2009). Caractérisation des défauts d'une liaison optique basée sur l'analyse du portrait de phase [Paper presentation]. Journées Nationales d'Optique Guidée, Lille, France.

Dubuisson, T., Dutoit, T., Gosselin, B., & Remacle, M. (28 May 2009). Selection and combination of acoustic descriptors for the discrimination between normal and pathological speakers [Poster presentation]. Pôles d'attraction interuniversitaire/Dynamical systems, control and optimization, Mons, Belgium.

Dubuisson, T., Dutoit, T., Gosselin, B., & Remacle, M. (23 April 2009). On the use of the correlation between acoustic descriptors for the normal/pathological voices discrimination. EURASIP Journal on Advances in Signal Processing, 2009.
Peer Reviewed verified by ORBi

Mancas, M., Gosselin, B., & Macq, B. (2008). Attention-based Pathology Visualization in Head and Neck Area [Paper presentation]. Liège Image Days (1st), Liège, Belgium.

Demeyer, J., & Gosselin, B. (12 March 2008). Glottis Segmentation with a Highspeedglottography : a New Approach [Poster presentation]. Liège Image Days (1st), Liège, Belgium.

Thillou, C., Ferreira, S., Demeyer, J., Minetti, C., & Gosselin, B. (02 January 2008). A Multifonctional Reading Assistant for the Visually Impaired. International Journal of Image and Video Processing, 2.
Peer Reviewed verified by ORBi

Mancas, M., Gosselin, B., & Macq, B. (01 September 2007). Perceptual Image Representation. International Journal of Image and Video Processing, 2007.
Peer Reviewed verified by ORBi

Thillou, C., & Gosselin, B. (01 July 2007). Color Text Extraction with Selective Metric-based Clustering. Computer Vision & Image Understanding [=CVIU], 107 (1-2), 97-107.
Peer reviewed

Thillou, C., & Gosselin, B. (2007). Natural Scene Text Understanding. In Vision Systems - Segmentation & Pattern Recognition (pp. 307-332). I-Tech Education and Publishing.

Mancas, M., Couvreur, L., Gosselin, B., & Macq, B. (2007). Computational Attention for Event Detection [Paper presentation]. A ICVS Workshop on Computational Attention & Applications, Bielefeld, Germany.

Mancas, M., Unay, D., Gosselin, B., & Macq, B. (2007). Computational Attention for Defect Localisation [Paper presentation]. A ICVS Workshop on Computational Attention & Applications, Bielefeld, Germany.

Mancas, M., Gosselin, B., & Macq, B. (2007). A Three-Level Computational Attention Model [Paper presentation]. A ICVS Workshop on Computational Attention & Applications, Bielefeld, Germany.

Dubuisson, T., Dutoit, T., Gosselin, B., Grenez, F., Remacle, M., & Schoentgen, J. (13 March 2007). ECLIPSE, a multimodal analysis of speech pathologies [Poster presentation]. Matinée de Chercheurs de la Faculté Polytechnique de Mons, Mons, Belgium.

Unay, D., & Gosselin, B. (01 January 2007). Stem and Calyx Recognition on 'Jonagold' Apples by pattern Recognition. Journal of Food Engineering, 78 (2), 597-605.
Peer Reviewed verified by ORBi

Kostopoulos, K., Moustakas, K., Tzovaras, D., Nikolakis, G., Thillou, C., & Gosselin, B. (01 January 2007). Haptic Access to Conventional 2D Maps for the Visually Impaired. Journal on Multimodal User Interfaces, 2 (1), 13-19.
Peer Reviewed verified by ORBi

Dubuisson, T., Dutoit, T., Gosselin, B., Grenez, F., Remacle, M., & Schoentgen, J. (02 November 2006). ECLIPSE, a multimodal analysis of speech pathologies [Paper presentation]. Similar Meeting, Dublin, Ireland.

Thillou, C., & Gosselin, B. (2006). Spatial and Color Spaces Combination for Natural Scene Text Extraction [Paper presentation]. IEEE International Conference on Image Processing, Atlanta, United States - Georgia.

Thillou, C., & Gosselin, B. (2006). Character Segmentation-by-Recognition Using Log-Gabor Filters [Paper presentation]. ICPR 2006 - IAPR International Conference on Pattern Recognition, Hong-Kong, China.

Unay, D., & Gosselin, B. (2006). Apple Defect Segmentation by Artificial Neural Networks [Paper presentation]. BeNeLux Conference on Artificial Intelligence, Namur, Belgium.

Unay, D., Debeir, O., & Gosselin, B. (2006). Apple Stem and Calyx Recognition by Decision Trees [Paper presentation]. IASTED Visualization, Imaging and Image Processing Conference, Palma de Mallorca, Spain.

Unay, D., & Gosselin, B. (2006). Automatic Defect Segmentation of 'Jonagold' Apples on Multi-Spectral Images: A Comparative Study. Postharvest Biology and Technology.
Peer Reviewed verified by ORBi

Thillou, C., Ferreira, S., & Gosselin, B. (01 May 2005). An Embedded Application for Degraded Text Recognition. EURASIP Journal on Applied Signal Processing, 13, 2127-2135.
Peer reviewed

Ferreira, S., Garin, V., & Gosselin, B. (2005). A Text Detection Technique Applied in the Framework of a Mobile Camera-Based Application [Paper presentation]. Proc. of Camera-based Document Analysis and Recognition (CBDAR 2005), workshop of ICDAR, Seoul, South Korea.

Thillou, C., & Gosselin, B. (2005). Color Binarization for complex Camera-based Images [Paper presentation]. Electronic Imaging Conference of the Internatiional Society for Optical Imaging, San Jose, United States.

Thillou, C., Mancas, M., & Gosselin, B. (2005). Camera-based Degraded Character Segmentation into Individual Components [Paper presentation]. IEEE International Conference on Documents Analysis and Recognition (ICDAR 2005) Seoul, Corée, Seoul, South Korea.

Mancas, M., Gosselin, B., & Macq, B. (2005). Fast and Automatic Tumoral Area Localisation Using Symmetry [Paper presentation]. IEEE ICASSP Conference, Philadelphia, United States - Pennsylvania.

Gaudissart, V., Ferreira, S., Thillou, C., & Gosselin, B. (2005). Sypole: a Mobile Assistant for the Blind [Paper presentation]. EUSIPCO 2005, Antalya, Turkey.

Gosselin, B., Mancas, M., & Macq, B. (2005). Tumor Detection using Airways Asymmetry [Paper presentation]. IEEE EMBC, Shangaï, China.

Mancas, M., Gosselin, B., & Macq, B. (2005). Segmentation Using a Region Growing Thresholding [Paper presentation]. Electronic Imaging Conference of the Internatiional Society for Optical Imaging, San Jose, United States.

Unay, D., & Gosselin, B. (2005). Thresholding-based Segmentation and Apple Grading by Machine Vision [Paper presentation]. EUSIPCO 2005, Antalya, Turkey.

Unay, D., & Gosselin, B. (2005). Artificial Neural Network-based Segmentation and Apple Grading by Machine Vision [Paper presentation]. IEEE ICIP 2005, Gênes, Italy.

Thillou, C., & Gosselin, B. (2005). Color Text Extraction from Camera-based Images - the Impact of the Choice of the Clustering Distance [Paper presentation]. IEEE International Conference on Documents Analysis and Recognition (ICDAR 2005) Seoul, Corée, Seoul, South Korea.

Thillou, C., Gosselin, B., & Mancas, M. (2005). Segmentation en Caractères Individuels dans des Images de Scènes Naturelles [Paper presentation]. GRETSI Conference, Louvain-la-Neuve, Belgium.

Sebbe, R., Gosselin, B., Coche, E., & Macq, B. (01 January 2004). Détection automatique de l'embolie pulmonaire [Poster presentation]. Colloque Sciences en Sologne 2004, Sologne, France.

Mancas, M., & Gosselin, B. (2004). Iterative watersheds: a novel fuzzy segmentation technique [Paper presentation]. Medical Imaging Conference of the International Society for Optical Imaging, San Diego, United States - California.

Mancas, M., & Gosselin, B. (2004). Towards an automatic tumor segmentation using iterative watersheds [Paper presentation]. Medical Imaging Conference of the International Society for Optical Imaging, San Diego, United States - California.

Unay, D., & Gosselin, B. (2004). A Quality Sorting Method For `Jonagold` Apples [Paper presentation]. AgEng Engineering the Future (International Conference of Agricultural Engineering), Leuven, Belgium.

Thillou, C., & Gosselin, B. (2004). Robust thresholding based on wavelets and thinning algorithms for degraded camera images [Paper presentation]. IEEE ACIVS 2004, Bruxelles, Belgium.

Mancas, M., Gosselin, B., & Macq, B. (2004). Automatic Fast Detection of Tumor suspect areas on CT Scan [Paper presentation]. IEEE VIS 2004 Conference, Austin, United States - Texas.

Luijkx, A., Thillou, C., & Gosselin, B. (2004). A Prolongation-based Approach for Recognizing Cut Characters [Paper presentation]. International Conference on Computer Vision and Graphics, Varsovie, Poland.

Mancas, M., Gosselin, B., & Macq, B. (2004). Risk Areas Segmentation for Radiotherapy Planning using Distance Maps [Paper presentation]. Optical Imaging at the NIH, Washington DC, United States - District of Columbia.

Unay, D., & Gosselin, B. (2004). Stem-end/Calyx Detection in Apple Fruits: Comparison of Feature Selection Methods and Classifiers [Paper presentation]. International Conference on Computer Vision and Graphics, Varsovie, Poland.

Gaudissart, V., Ferreira, S., Thillou, C., & Gosselin, B. (2004). Mobile Reading Assistant for Blind People [Paper presentation]. 9th International Conference on Speech and Computer, Saint Petersburg, Russia.

Thillou, C., & Gosselin, B. (2004). Combination of Binarization and Charater Segmentation using Color Information [Paper presentation]. IEEE Symposium on Signal Processing and Information Technology, Rome, Italy.

Unay, D., & Gosselin, B. (2004). A Quality Grading Approach for 'Jonagold' Apples [Paper presentation]. 4th IEEE Benelux Signal Processing Symposium, Hilvarenbeek, Netherlands.

Unay, D., & Gosselin, B. (2004). An Approach for Recognizing Stem-end/Calyx regions in Apple Quality Sorting [Paper presentation]. ACIVS Conference (Advanced Concepts for Intelligent Vision Systems), Bruxelles, Belgium.

Thillou, C., & Gosselin, B. (2004). Segmentation-based Binarization for Color Degraded Images [Paper presentation]. International Conference on Computer Vision and Graphics, Varsovie, Poland.

Gosselin, B., & Unay, D. (2003). A Study on Quality Grading of 'Jonagold' Apples [Paper presentation]. IEEE ISSPIT Symposium on Signal Processing and Information Technology, Darmstadt, Germany.

Mancas, M., & Gosselin, B. (2003). Iterative Watersheds and Fuzzy Tumor Visualization [Paper presentation]. IEEE Visualization Conference, Seattle, United States - Washington.

Ferreira, S., Thillou, C., & Gosselin, B. (2003). From Picture to speech: an innovative OCR application for embedded environment [Paper presentation]. 14th Pro RISC workshop on Circuits, Systems and Signal Processing, Veldhoven, Netherlands.

Mancas, M., & Gosselin, B. (2003). Fuzzy Tumor Segmentation based on Iterative Watersheds [Paper presentation]. 14th Pro RISC workshop on Circuits, Systems and Signal Processing, Veldhoven, Netherlands.

Sebbe, R., Coche, E., Gosselin, B., & Macq, B. (2003). Pulmonary Arteries Segmentation and Feature Extraction through Slice Marching [Paper presentation]. 14th Pro RISC workshop on Circuits, Systems and Signal Processing, Veldhoven, Netherlands.

Sebbe, R., Coche, E., & Gosselin, B. (01 January 2003). Segmentation de l'arborescence artérielle pulmonaire par blocs [Paper presentation]. Journées Françaises de Radiologie, Paris, France.

Unay, D., & Gosselin, B. (2002). Apple Defect Detection and Quality Classification with MLP-Neural Networks [Paper presentation]. IEEE ProRisc2002, Eindhoven, Netherlands.

Gosselin, B., & Paggiaro, A. (1999). A study of Hidden Markov Models for Off-Line Recognition of Handwritten Characters [Paper presentation]. ProRISC'99, Mierlo, Netherlands.

Gosselin, B. (1998). Enhancing handwritten character images thanks to a re-sampling process based on convex hull extraction [Paper presentation]. EUSIPCO 1998, Rhodes, Greece.

Gosselin, B. (1998). Amélioration d'images de caractères manuscrits par ré-échantillonnage basé sur l'extraction du polygone convexe [Paper presentation]. Réunion des Théoriciens des Circuits de Langue Française 1998, Brest, France.

Gosselin, B. (1997). Conditional Combination of Neural Nets Classifiers for Handwritten Character Recognition [Paper presentation]. WIAMIS, Louvain-la-Neuve, Belgium.

Gosselin, B. (1997). On the Combination of Neural Nets Classifiers for Handwritten Character Recognition [Paper presentation]. IWSSIP, Poznan, Poland.

Gosselin, B. (1997). Improved Hand-written Character Recognition thanks to a New Geometric Distortion Method [Paper presentation]. 6th the Int. Conf. On Image Processing and its Applications, Dublin, Ireland.

Gosselin, B. (1997). Cooperation of Multilayer Perceptron Classifiers [Paper presentation]. 8th Workshop on Circuits, Systems and Signal Processing, Mierlo, Netherlands.

Gosselin, B. (1996). Coopération Optimisée de Réseaux de Neurones pour la Reconnaissance de Caractères Manuscrits [Paper presentation]. 10ème Congrès Reconnaissance des Formes et Intelligence Artificielle, Rennes, France.

Gosselin, B. (1996). Optimal Neural Networks Combination for Handwritten Characters Recognition [Paper presentation]. EUSIPCO, Trieste, Italy.

Gosselin, B. (01 January 1996). Multilayer Perceptrons Combination Applied to Handwritten Character Recognition. Pattern Recognition Letters, 3, 3-10.
Peer Reviewed verified by ORBi

Gosselin, B. (1995). Neural Networks Combination for Improved Handwritten Characters Recognition [Paper presentation]. Int. Conf. on Signal and Image Processing, Las Vegas, United States - Nevada.

Gosselin, B. (1994). A comparison of different feature extractors for handwritten character recognition [Paper presentation]. Proceedings of the workshop on circuits, system and signal processing - Prorisc, Mierlo, Netherlands.

Gosselin, B. (1994). Handwritten Characters Recognition Using Neural Networks [Paper presentation]. BIVA Seminar on Image Processing and Interpretation Techniques, Leuven, Belgium.

Gosselin, B. (1994). Handwritten Characters Recognition Using Neural Networks [Paper presentation]. URSI Forum, Louvain-la-Neuve, Belgium.

Gosselin, B. (1993). Multilayer Perceptron and Uppercase Handwritten Character Recognition [Paper presentation]. 2nd International Conference on Document Analysis and Recognition, Tsukuba, Japan.

Gosselin, B. (1991). Boolean neural network applied to the recognition of typographic characters [Paper presentation]. 1st International Conference on Document Analysis and Recognition, Saint-Malo, France.

Contact ORBi UMONS