Optimal neural networks combination for handwritten character recognition. - Bernard Gosselin (EUSIPCO, 1996)

Multilayer Perceptrons Combination Applied to Handwritten Character Recognition. - Bernard Gosselin (Neural Process. Lett., 1996)

On the use of a hybrid harmonic/stochastic model for TTS synthesis-by-concatenation. - Thierry Dutoit; Bernard Gosselin (Speech Commun., 1996)

Enhancing handwritten character images thanks to a re-sampling process based on convex hull extraction. - Bernard Gosselin (EUSIPCO, 1998)

A Prolongation-Based Approach for Recognizing Cut Characters. - Antoine Luijkx; Céline Thillou; Bernard Gosselin (ICCVG, 2004)

Segmentation-Based Binarization for Color Degraded Images. - Céline Thillou; Bernard Gosselin (ICCVG, 2004)

Stem-End/Calyx Detection in Apple Fruits - Comparison of Feature Selection Methods and Classifiers. - Devrim Ünay; Bernard Gosselin (ICCVG, 2004)

Towards an automatic tumor segmentation using iterative watersheds. - Matei Mancas; Bernard Gosselin (Image Processing, 2004)

Automatic Fast Detection of Tumor Suspect Areas on CT Scan. - Matei Mancas; Bernard Gosselin; Benoît Macq (IEEE Visualization, 2004)

Color binarization for complex camera-based images. - Céline Thillou; Bernard Gosselin (Color Imaging: Processing, Hardcopy, and Applications, 2005)

Sypole: A mobile assistant for the blind. - Vincent Gaudissart; Silvio Ferreira; Céline Thillou; Bernard Gosselin (EUSIPCO, 2005)

Thresholding-based segmentation and apple grading by machine vision. - Devrim Ünay; Bernard Gosselin (EUSIPCO, 2005)

Fast and Automatic Tumoral Area Localisation using Symmetry. - Matei Mancas; Bernard Gosselin; Benoît Macq (ICASSP (2), 2005)

Color Text Extraction from Camera-based Images the Impact of the Choice of the Clustering Distance. - Céline Mancas-Thillou; Bernard Gosselin (ICDAR, 2005)

Camera-based Degraded Character Segmentation into Individual Components. - Céline Mancas-Thillou; Matei Mancas; Bernard Gosselin (ICDAR, 2005)

Model-guided segmentation of opacified thorax vessels. - Raphaël Sebbe; Bernard Gosselin; Emmanuel Coche; Benoît Macq (ICIP (1), 2005)

Artificial neural network-based segmentation and apple grading by machine vision. - Devrim Ünay; Bernard Gosselin (ICIP (2), 2005)

An Embedded Application for Degraded Text Recognition. - Céline Thillou; Silvio Ferreira; Bernard Gosselin (EURASIP J. Adv. Signal Process., 2005)

Spatial and Color Spaces Combination for Natural Scene Text Extraction. - Céline Mancas-Thillou; Bernard Gosselin (ICIP, 2006)

A Rarity-Based Visual Attention Map - Application to Texture Description. - Matei Mancas; Céline Mancas-Thillou; Bernard Gosselin; Benoît Macq (ICIP, 2006)

Character Segmentation-by-Recognition Using Log-Gabor Filters. - Céline Mancas-Thillou; Bernard Gosselin (ICPR (2), 2006)

Segmentation using a region-growing thresholding. - Matei Mancas; Bernard Gosselin; Benoît Macq (Image Processing: Algorithms and Systems, 2006)

Color text extraction with selective metric-based clustering. - Céline Mancas-Thillou; Bernard Gosselin (Comput. Vis. Image Underst., 2007)

A Multifunctional Reading Assistant for the Visually Impaired. - Céline Mancas-Thillou; Silvio Ferreira; Jonathan Demeyer; Christophe Minetti; Bernard Gosselin (EURASIP J. Image Video Process., 2007)

Perceptual Image Representation. - Matei Mancas; Bernard Gosselin; Benoît Macq (EURASIP J. Image Video Process., 2007)

Haptic access to conventional 2D maps for the visually impaired. - Konstantinos Kostopoulos; Konstantinos Moustakas; Dimitrios Tzovaras; Giorgos Nikolakis; Céline Thillou; Bernard Gosselin (J. Multimodal User Interfaces, 2007)

On the Use of the Correlation between Acoustic Descriptors for the Normal/Pathological Voices Discrimination. - Thomas Dubuisson; Thierry Dutoit; Bernard Gosselin; Marc Remacle (EURASIP J. Adv. Signal Process., 2009)

Toward a Social Attentive Machine. - Matei Mancas; Nicolas Riche; Julien Leroy 001; Bernard Gosselin; Thierry Dutoit (AAAI Fall Symposium: Robot-Human Teamwork in Dynamic Adverse Environment, 2011)

Person Detection for Indoor Videosurveillance Using Spatio-temporal Integral Features. - Adrien Descamps; Cyril Carincotte; Bernard Gosselin (AmI Workshops, 2011)

Abnormal motion selection in crowds using bottom-up saliency. - Matei Mancas; Nicolas Riche; Julien Leroy 001; Bernard Gosselin (ICIP, 2011)

3D Saliency for Abnormal Motion Selection: The Role of the Depth Map. - Nicolas Riche; Matei Mancas; Bernard Gosselin; Thierry Dutoit (ICVS, 2011)

The Attentive Machine: Be Different! - Julien Leroy 001; Nicolas Riche; François Zajéga; Matei Mancas; Joëlle Tilmanne; Bernard Gosselin; Thierry Dutoit (INTETAIN, 2011)

Dynamic Saliency Models and Human Attention: A Comparative Study on Videos. - Nicolas Riche; Matei Mancas; Dubravko Culibrk; Vladimir S. Crnojevic; Bernard Gosselin; Thierry Dutoit (ACCV (3), 2012)

Rare: A new bottom-up saliency model. - Nicolas Riche; Matei Mancas; Bernard Gosselin; Thierry Dutoit (ICIP, 2012)

Saliency and Human Fixations: State-of-the-Art and Study of Comparison Metrics. - Nicolas Riche; Matthieu Duvinage; Matei Mancas; Bernard Gosselin; Thierry Dutoit (ICCV, 2013)

Spatio-temporal saliency based on rare model. - Marc Decombas; Nicolas Riche; Frédéric Dufaux; Béatrice Pesquet-Popescu; Matei Mancas; Bernard Gosselin; Thierry Dutoit (ICIP, 2013)

Biologically plausible context recognition algorithms. - Makiese Mibulumukini; Nicolas Riche; Matei Mancas; Bernard Gosselin; Thierry Dutoit (ICIP, 2013)

3D Head Pose Estimation for TV Setups. - Julien Leroy 001; François Rocca; Matei Mancas; Bernard Gosselin (INTETAIN, 2013)

Image Surround: Automatic Projector Calibration for Indoor Adaptive Projection. - Radhwan Ben Madhkour; Ludovic Burczykowski; Matei Mancas; Bernard Gosselin (INTETAIN, 2013)

Automatic Geometric Projector Calibration - Application to a 3D Real-time Visual Feedback. - Radhwan Ben Madhkour; Matei Mancas; Bernard Gosselin (VISAPP (2), 2013)

Second screen interaction: an approach to infer tv watcher's interest using 3d head pose estimation. - Julien Leroy 001; François Rocca; Matei Mancas; Bernard Gosselin (WWW (Companion Volume), 2013)

A study of parameters affecting visual saliency assessment. - Nicolas Riche; Matthieu Duvinage; Matei Mancas; Bernard Gosselin; Thierry Dutoit (CoRR, 2013)

RARE2012: A multi-scale rarity-based saliency detection with its comparative statistical analysis. - Nicolas Riche; Matei Mancas; Matthieu Duvinage; Makiese Mibulumukini; Bernard Gosselin; Thierry Dutoit (Signal Process. Image Commun., 2013)

Flexible sixteen monopole antenna array for microwave breast cancer detection. - Hadi Bahrami; Emily Porter; Adam Santorelli; Bernard Gosselin; Milica Popovic; Leslie A. Rusch (EMBC, 2014)

Head Pose Estimation by Perspective-n-Point Solution Based on 2D Markerless Face Tracking. - François Rocca; Matei Mancas; Bernard Gosselin (INTETAIN, 2014)

Video saliency based on rarity prediction: Hyperaptor. - Ioannis Cassagne; Nicolas Riche; Marc Decombas; Matei Mancas; Bernard Gosselin; Thierry Dutoit; Robert Laganière (EUSIPCO, 2015)

An evaluation criterion of saliency models for video seam carving. - Marc Decombas; Pierre Marighetto; Matei Mancas; Ioannis Cassagne; Nicolas Riche; Bernard Gosselin; Thierry Dutoit; Robert Laganière (MMSP, 2015)

Head pose estimation & TV Context: current technology. - François Rocca; Matei Mancas; Fabien Grisard; Julien Leroy 001; Thierry Ravet; Bernard Gosselin (EAI Endorsed Trans. Creative Technol., 2015)

FUNNRAR: Hybrid rarity/learning visual saliency. - Pierre Marighetto; I. Hadj Abdelkader; S. Duzelier; Marc Decombas; Nicolas Riche; Jérémie Jakubowicz; Matei Mancas; Bernard Gosselin; Robert Laganière (ICIP, 2016)

Audio-visual attention: Eye-tracking dataset and analysis toolbox. - Pierre Marighetto; Antoine Coutrot; Nicolas Riche; Nathalie Guyader; Matei Mancas; Bernard Gosselin; Robert Laganière (ICIP, 2017)

Eye and Mouse Coordination During Task: From Behaviour to Prediction. - Alexandre Milisavljevic; Kevin Hamard; Coralie Petermann; Bernard Gosselin; Karine Doré-Mazars; Matei Mancas (VISIGRAPP (2: HUCAPP), 2018)

Do Deep-Learning Saliency Models Really Model Saliency? - Phutphalla Kong; Matei Mancas; Nimol Thuon; Seng Kheang; Bernard Gosselin (ICIP, 2018)

Towards a better description of visual exploration through temporal dynamic of ambient and focal modes. - Alexandre Milisavljevic; Thomas Le Bras; Matei Mancas; Coralie Petermann; Bernard Gosselin; Karine Doré-Mazars (ETRA, 2019)

An Experimental Study of the Impact of Pre-Training on the Pruning of a Convolutional Neural Network. - Nathan Hubens; Matei Mancas; Marc Decombas; Marius Preda; Titus Zaharia; Bernard Gosselin; Thierry Dutoit (APPIS, 2020)

Visual Attention: Deep Rare Features. - Matei Mancas; Phutphalla Kong; Bernard Gosselin (CoRR, 2020)

One-Cycle Pruning: Pruning ConvNets Under a Tight Training Budget. - Nathan Hubens; Matei Mancas; Bernard Gosselin; Marius Preda; Titus Zaharia (CoRR, 2021)

DeepRare: Generic Unsupervised Visual Attention Models. - Phutphalla Kong; Matei Mancas; Bernard Gosselin; Kimtho Po (CoRR, 2021)

An Experimental Study of the Impact of Pre-training on the Pruning of a Convolutional Neural Network. - Nathan Hubens; Matei Mancas; Bernard Gosselin; Marius Preda; Titus Zaharia (CoRR, 2021)

Semi-synthetic Data for Automatic Drone Shadow Detection. - Mohammed El Amine Mokhtari; Virginie Vandenbulcke; Sohaib Laraba; Matei Mancas; Elias Ennadifi; Mohamed Lamine Tazir; Bernard Gosselin (ESANN, 2022)

Local Unsupervised Wheat Head Segmentation. - Elias Ennadifi; Sébastien Dandrifosse; Mohammed El Amine Mokhtari; Alexis Carlier; Sohaib Laraba; Benoît Mercatoris; Bernard Gosselin (ICCP, 2022)

Improve Convolutional Neural Network Pruning by Maximizing Filter Variety. - Nathan Hubens; Matei Mancas; Bernard Gosselin; Marius Preda; Titus Zaharia (ICIAP (1), 2022)

One-Cycle Pruning: Pruning Convnets With Tight Training Budget. - Nathan Hubens; Matei Mancas; Bernard Gosselin; Marius Preda; Titus Zaharia (ICIP, 2022)

Deep learning for wheat ear segmentation and ear density measurement: From heading to maturity. - Sébastien Dandrifosse; Elias Ennadifi; Alexis Carlier; Bernard Gosselin; Benjamin Dumont; Benoît Mercatoris (Comput. Electron. Agric., 2022)

People Tracking and Re-Identifying in Distributed Contexts: Extension Study of PoseTReID. - Ratha Siv; Matei Mancas; Bernard Gosselin; Dona Valy; Sokchenda Sreng (CoRR, 2022)

Biases in BCI experiments: Do we really need to balance stimulus properties across categories? - Luca La Fisca; Virginie Vandenbulcke; Erika Wauthia; Aurélie Miceli; Isabelle Simoes Loureiro; Laurence Ris; Laurent Lefebvre; Bernard Gosselin; Cyril R. Pernet (Frontiers Comput. Neurosci., 2022)

Enhancing OSA Assessment with Explainable AI. - Luca La Fisca; Celiane Jennebauffe; Marie Bruyneel; Laurence Ris; Laurent Lefebvre; Xavier Siebert; Bernard Gosselin (EMBC, 2023)

Explainable AI for EEG Biomarkers Identification in Obstructive Sleep Apnea Severity Scoring Task. - Luca La Fisca; Celiane Jennebauffe; Marie Bruyneel; Laurence Ris; Laurent Lefebvre; Xavier Siebert; Bernard Gosselin (NER, 2023)

Enhancing VR Gaming Experience using Computational Attention Models and Eye-Tracking. - Elias Ennadifi; Thierry Ravet; Matei Mancas; Mohammed El Amine Mokhtari; Bernard Gosselin (IMX, 2023)

Designing an Assistance Tool for Analyzing and Modeling Trainer Activity in Professional Training Through Simulation. - François Rocca; Madison Dave; Valérie Duvivier; Agnès Van Daele; Marc Demeuse; Antoine Derobertmasure; Matei Mancas; Bernard Gosselin (IMX, 2023)

ActioNet: A Lightweight Architecture for Efficient Action Recognition. - Mohammed El Amine Mokhtari; Elias Ennadifi; Matei Mancas; Bernard Gosselin (VRST, 2023)

Induced Feature Selection by Structured Pruning. - Nathan Hubens; Victor Delvigne; Matei Mancas; Bernard Gosselin; Marius Preda; Titus Zaharia (CoRR, 2023)

Found in Translation: semantic approaches for enhancing AI interpretability in face verification. - Miriam Doh; Caroline Mazini Rodrigues; Nicolas Boutry; Laurent Najman; Matei Mancas; Bernard Gosselin (CoRR, 2025)