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  (60)
DUTOIT, Thierry  (22)
THILLOU, Céline  (18)
Riche, Nicolas  (15)
Unay, Devrim (14)
Main Referenced Keywords
counting (3); Electrical and Electronic Engineering (3); YOLOv5 (3); attention (2); Computer Networks and Communications (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 (100)
Electrical & electronics engineering (32)
Library & information sciences (21)
Physics (9)
Laboratory medicine & medical technology (2)

Publications (total 130)

The most downloaded
97 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
187 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 presented at international Computer Vision, Sydney, Australia. https://hdl.handle.net/20.500.12907/41517

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

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 session presented at 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). 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). Contrasted-Fertilization Wheat Ear Dataset 2020. doi:10.5281/zenodo.5709821
* 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 (Switzerland), 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 presented at 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.
Peer reviewed

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

La Fisca, L., & Gosselin, B. (2021). A Versatile Validation Framework for ERP and Oscillatory Brain Source Localization Using FieldTrip. Paper presented at International Conference on Biometric Engineering and Applications, Taiyuan, China.

Siv, R., Mancas, M., Seng, S., Chhun, S., & Gosselin, B. (2020). People Tracking and Re-Identifying in Distributed Contexts: PoseTREID Framework and Dataset. Paper presented at 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 presented at 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 presented at 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 presented at 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 presented at 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 presented at 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 presented at 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 presented at 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 presented at 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 presented at 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 presented at 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 presented at 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 presented at 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 presented at 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 presented at 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. Paper presented at 28th International Conference on Computer Animation and Social Agents (CASA 2015), Singapour, Singapore.

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 presented at 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 presented at 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 presented at 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 presented at 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 presented at 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 presented at 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 presented at 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 presented at 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 presented at 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 presented at 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 presented at IEEE ICIP, Orlando, United States - Florida.

Descamps, A., Carincotte, C., & Gosselin, B. (2011). Person Detection for Indoor Videosurveillance using Spatio-Temporal Integral Features. Paper presented at 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 presented at 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 presented at 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 presented at 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 presented at INTETAIN 2011, Genoa, Italy.

Leroy, J., Mancas, M., & Gosselin, B. (2011). Personal space augmented reality tool. Paper presented at 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 presented at 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 presented at 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 presented at 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 presented at 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 session presented at 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

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

Mancas, M., Gosselin, B., & Macq, B. (2008). Attention-based Pathology Visualization in Head and Neck Area. Paper presented at 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., Unay, D., Gosselin, B., & Macq, B. (2007). Computational Attention for Defect Localisation. Paper presented at A ICVS Workshop on Computational Attention & Applications, Bielefeld, Germany.

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

Mancas, M., Couvreur, L., Gosselin, B., & Macq, B. (2007). Computational Attention for Event Detection. Paper presented at 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 session presented at 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 presented at Similar Meeting, Dublin, Ireland.

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

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

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

Unay, D., Debeir, O., & Gosselin, B. (2006). Apple Stem and Calyx Recognition by Decision Trees. Paper presented at 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 presented at Proc. of Camera-based Document Analysis and Recognition (CBDAR 2005), workshop of ICDAR, Seoul, South Korea.

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

Thillou, C., Mancas, M., & Gosselin, B. (2005). Camera-based Degraded Character Segmentation into Individual Components. Paper presented at 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 presented at IEEE ICASSP Conference, Philadelphia, United States - Pennsylvania.

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

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

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

Thillou, C., & Gosselin, B. (2005). Color Binarization for complex Camera-based Images. Paper presented at 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 presented at EUSIPCO 2005, Antalya, Turkey.

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

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

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

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

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

Mancas, M., & Gosselin, B. (2004). Towards an automatic tumor segmentation using iterative watersheds. Paper presented at 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 presented at 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 presented at IEEE ACIVS 2004, Bruxelles, Belgium.

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

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

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

Luijkx, A., Thillou, C., & Gosselin, B. (2004). A Prolongation-based Approach for Recognizing Cut Characters. Paper presented at 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 presented at Optical Imaging at the NIH, Washington DC, United States - District of Columbia.

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

Gosselin, B. (1997). Cooperation of Multilayer Perceptron Classifiers. Paper presented at 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 presented at 10ème Congrès Reconnaissance des Formes et Intelligence Artificielle, Rennes, France.

Gosselin, B. (01 January 1996). Multilayer Perceptrons Combination Applied to Handwritten Character Recognition. Pattern Recognition Letters, 3, 3-10.
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Gosselin, B. (1996). Optimal Neural Networks Combination for Handwritten Characters Recognition. Paper presented at EUSIPCO, Trieste, Italy.

Gosselin, B. (1995). Neural Networks Combination for Improved Handwritten Characters Recognition. Paper presented at 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 presented at Proceedings of the workshop on circuits, system and signal processing - Prorisc, Mierlo, Netherlands.

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

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

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

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

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