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2020 – today
- 2023
[c52]Luca La Fisca, Celiane Jennebauffe, Marie Bruyneel, Laurence Ris, Laurent Lefebvre, Xavier Siebert, Bernard Gosselin:
Enhancing OSA Assessment with Explainable AI. EMBC 2023: 1-6- [c51]Luca La Fisca, Celiane Jennebauffe, Marie Bruyneel, Laurence Ris, Laurent Lefebvre, Xavier Siebert, Bernard Gosselin:
Explainable AI for EEG Biomarkers Identification in Obstructive Sleep Apnea Severity Scoring Task. NER 2023: 1-6 - [c50]François Rocca
, Madison Dave, Valérie Duvivier, Agnès Van Daele, Marc Demeuse, Antoine Derobertmasure, Matei Mancas, Bernard Gosselin:
Designing an Assistance Tool for Analyzing and Modeling Trainer Activity in Professional Training Through Simulation. IMX 2023: 180-187 - [c49]Elias Ennadifi, Thierry Ravet, Matei Mancas, Mohammed El Amine Mokhtari, Bernard Gosselin:
Enhancing VR Gaming Experience using Computational Attention Models and Eye-Tracking. IMX 2023: 194-198 - [c48]Mohammed El Amine Mokhtari, Elias Ennadifi, Matei Mancas, Bernard Gosselin:
ActioNet: A Lightweight Architecture for Efficient Action Recognition. VRST 2023: 42:1-42:2 - [i8]Nathan Hubens, Victor Delvigne, Matei Mancas, Bernard Gosselin, Marius Preda, Titus B. Zaharia:
Induced Feature Selection by Structured Pruning. CoRR abs/2303.10999 (2023) - 2022
- [j12]Sébastien Dandrifosse, Elias Ennadifi, Alexis Carlier, Bernard Gosselin, Benjamin Dumont, Benoit Mercatoris:
Deep learning for wheat ear segmentation and ear density measurement: From heading to maturity. Comput. Electron. Agric. 199: 107161 (2022) - [j11]Luca La Fisca, Virginie Vandenbulcke, Erika Wauthia, Aurélie Miceli, Isabelle Simoes Loureiro, Laurence Ris, Laurent Lefebvre, Bernard Gosselin, Cyril R. Pernet:
Biases in BCI experiments: Do we really need to balance stimulus properties across categories? Frontiers Comput. Neurosci. 16 (2022) - [c47]Mohammed El Amine Mokhtari, Virginie Vandenbulcke, Sohaib Laraba, Matei Mancas, Elias Ennadifi, Mohamed Lamine Tazir, Bernard Gosselin:
Semi-synthetic Data for Automatic Drone Shadow Detection. ESANN 2022 - [c46]Elias Ennadifi, Sébastien Dandrifosse, Mohammed El Amine Mokhtari, Alexis Carlier, Sohaib Laraba, Benoit Mercatoris, Bernard Gosselin:
Local Unsupervised Wheat Head Segmentation. ICCP 2022: 55-62 - [c45]Nathan Hubens, Matei Mancas, Bernard Gosselin, Marius Preda, Titus B. Zaharia:
Improve Convolutional Neural Network Pruning by Maximizing Filter Variety. ICIAP (1) 2022: 379-390 - [c44]Nathan Hubens, Matei Mancas, Bernard Gosselin, Marius Preda, Titus B. Zaharia:
One-Cycle Pruning: Pruning Convnets With Tight Training Budget. ICIP 2022: 4128-4132 - [i7]Nathan Hubens, Matei Mancas, Bernard Gosselin, Marius Preda, Titus B. Zaharia:
Improve Convolutional Neural Network Pruning by Maximizing Filter Variety. CoRR abs/2203.05807 (2022) - [i6]Ratha Siv, Matei Mancas, Bernard Gosselin, Dona Valy, Sokchenda Sreng:
People Tracking and Re-Identifying in Distributed Contexts: Extension Study of PoseTReID. CoRR abs/2205.10086 (2022) - 2021
- [i5]Nathan Hubens, Matei Mancas, Bernard Gosselin, Marius Preda, Titus B. Zaharia:
One-Cycle Pruning: Pruning ConvNets Under a Tight Training Budget. CoRR abs/2107.02086 (2021) - [i4]Phutphalla Kong, Matei Mancas, Bernard Gosselin, Kimtho Po:
DeepRare: Generic Unsupervised Visual Attention Models. CoRR abs/2109.11439 (2021) - [i3]Nathan Hubens, Matei Mancas, Bernard Gosselin, Marius Preda, Titus B. Zaharia:
An Experimental Study of the Impact of Pre-training on the Pruning of a Convolutional Neural Network. CoRR abs/2112.08227 (2021) - 2020
- [c43]Nathan Hubens, Matei Mancas, Marc Decombas, Marius Preda, Titus B. Zaharia, Bernard Gosselin, Thierry Dutoit:
An Experimental Study of the Impact of Pre-Training on the Pruning of a Convolutional Neural Network. APPIS 2020: 28:1-28:6 - [i2]Matei Mancas, Phutphalla Kong, Bernard Gosselin:
Visual Attention: Deep Rare Features. CoRR abs/2005.12073 (2020)
2010 – 2019
- 2019
- [c42]Alexandre Milisavljevic, Thomas Le Bras, Matei Mancas, Coralie Petermann, Bernard Gosselin, Karine Doré-Mazars:
Towards a better description of visual exploration through temporal dynamic of ambient and focal modes. ETRA 2019: 66:1-66:4 - 2018
- [c41]Alexandre Milisavljevic, Kevin Hamard, Coralie Petermann, Bernard Gosselin, Karine Doré-Mazars, Matei Mancas:
Eye and Mouse Coordination During Task: From Behaviour to Prediction. VISIGRAPP (2: HUCAPP) 2018: 86-93 - [c40]Phutphalla Kong, Matei Mancas, Nimol Thuon, Seng Kheang, Bernard Gosselin:
Do Deep-Learning Saliency Models Really Model Saliency? ICIP 2018: 2331-2335 - 2017
- [c39]Pierre Marighetto, Antoine Coutrot, Nicolas Riche, Nathalie Guyader, Matei Mancas, Bernard Gosselin, Robert Laganière:
Audio-visual attention: Eye-tracking dataset and analysis toolbox. ICIP 2017: 1802-1806 - 2016
- [c38]Pierre Marighetto, I. Hadj Abdelkader, S. Duzelier, Marc Decombas, Nicolas Riche, Jérémie Jakubowicz, Matei Mancas, Bernard Gosselin, Robert Laganière:
FUNNRAR: Hybrid rarity/learning visual saliency. ICIP 2016: 2782-2786 - 2015
- [j10]François Rocca, Matei Mancas, Fabien Grisard, Julien Leroy, Thierry Ravet, Bernard Gosselin:
Head pose estimation & TV Context: current technology. EAI Endorsed Trans. Creative Technol. 2(3): e2 (2015) - [c37]Ioannis Cassagne, Nicolas Riche, Marc Decombas, Matei Mancas, Bernard Gosselin, Thierry Dutoit, Robert Laganière:
Video saliency based on rarity prediction: Hyperaptor. EUSIPCO 2015: 1521-1525 - [c36]Marc Decombas, Pierre Marighetto, Matei Mancas, Ioannis Cassagne, Nicolas Riche, Bernard Gosselin, Thierry Dutoit, Robert Laganière:
An evaluation criterion of saliency models for video seam carving. MMSP 2015: 1-6 - 2014
- [c35]Hadi Bahrami, Emily Porter, Adam Santorelli, Bernard Gosselin, Milica Popovic, Leslie A. Rusch:
Flexible sixteen monopole antenna array for microwave breast cancer detection. EMBC 2014: 3775-3778 - [c34]François Rocca, Matei Mancas, Bernard Gosselin:
Head Pose Estimation by Perspective-n-Point Solution Based on 2D Markerless Face Tracking. INTETAIN 2014: 67-76 - 2013
- [j9]Nicolas Riche, Matei Mancas, Matthieu Duvinage, Makiese Mibulumukini, Bernard Gosselin, Thierry Dutoit:
RARE2012: A multi-scale rarity-based saliency detection with its comparative statistical analysis. Signal Process. Image Commun. 28(6): 642-658 (2013) - [c33]Nicolas Riche, Matthieu Duvinage, Matei Mancas, Bernard Gosselin, Thierry Dutoit:
Saliency and Human Fixations: State-of-the-Art and Study of Comparison Metrics. ICCV 2013: 1153-1160 - [c32]Makiese Mibulumukini, Nicolas Riche, Matei Mancas, Bernard Gosselin, Thierry Dutoit:
Biologically plausible context recognition algorithms. ICIP 2013: 2612-2616 - [c31]Marc Decombas, Nicolas Riche, Frédéric Dufaux, Béatrice Pesquet-Popescu, Matei Mancas, Bernard Gosselin, Thierry Dutoit:
Spatio-temporal saliency based on rare model. ICIP 2013: 3451-3455 - [c30]Julien Leroy, François Rocca, Matei Mancas, Bernard Gosselin:
3D Head Pose Estimation for TV Setups. INTETAIN 2013: 55-64 - [c29]Radhwan Ben Madhkour, Ludovic Burczykowski, Matei Mancas, Bernard Gosselin:
Image Surround: Automatic Projector Calibration for Indoor Adaptive Projection. INTETAIN 2013: 156-162 - [c28]Radhwan Ben Madhkour, Matei Mancas, Bernard Gosselin:
Automatic Geometric Projector Calibration - Application to a 3D Real-time Visual Feedback. VISAPP (2) 2013: 420-424 - [c27]Julien Leroy, François Rocca, Matei Mancas, Bernard Gosselin:
Second screen interaction: an approach to infer tv watcher's interest using 3d head pose estimation. WWW (Companion Volume) 2013: 465-468 - [e1]Matei Mancas, Nicolas D'Alessandro, Xavier Siebert, Bernard Gosselin, Carlos Valderrama, Thierry Dutoit:
Intelligent Technologies for Interactive Entertainment - 5th International ICST Conference, INTETAIN 2013, Mons, Belgium, July 3-5, 2013, Revised Selected Papers. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering 124, Springer 2013, ISBN 978-3-319-03891-9 [contents] - [i1]Nicolas Riche, Matthieu Duvinage, Matei Mancas, Bernard Gosselin, Thierry Dutoit:
A study of parameters affecting visual saliency assessment. CoRR abs/1307.5691 (2013) - 2012
- [c26]Nicolas Riche, Matei Mancas, Dubravko Culibrk, Vladimir S. Crnojevic, Bernard Gosselin, Thierry Dutoit:
Dynamic Saliency Models and Human Attention: A Comparative Study on Videos. ACCV (3) 2012: 586-598 - [c25]Nicolas Riche, Matei Mancas, Bernard Gosselin, Thierry Dutoit:
Rare: A new bottom-up saliency model. ICIP 2012: 641-644 - 2011
- [c24]Matei Mancas, Nicolas Riche, Julien Leroy, Bernard Gosselin, Thierry Dutoit:
Toward a Social Attentive Machine. AAAI Fall Symposium: Robot-Human Teamwork in Dynamic Adverse Environment 2011 - [c23]Adrien Descamps, Cyril Carincotte, Bernard Gosselin:
Person Detection for Indoor Videosurveillance Using Spatio-temporal Integral Features. AmI Workshops 2011: 110-118 - [c22]Matei Mancas, Nicolas Riche, Julien Leroy, Bernard Gosselin:
Abnormal motion selection in crowds using bottom-up saliency. ICIP 2011: 229-232 - [c21]Nicolas Riche, Matei Mancas, Bernard Gosselin, Thierry Dutoit:
3D Saliency for Abnormal Motion Selection: The Role of the Depth Map. ICVS 2011: 143-152 - [c20]Julien Leroy, Nicolas Riche, François Zajéga, Matei Mancas, Joëlle Tilmanne, Bernard Gosselin, Thierry Dutoit:
The Attentive Machine: Be Different! INTETAIN 2011: 249-251
2000 – 2009
- 2009
- [j8]Thomas Dubuisson, Thierry Dutoit, Bernard Gosselin, Marc Remacle:
On the Use of the Correlation between Acoustic Descriptors for the Normal/Pathological Voices Discrimination. EURASIP J. Adv. Signal Process. 2009 (2009) - 2007
- [j7]Céline Mancas-Thillou, Bernard Gosselin:
Color text extraction with selective metric-based clustering. Comput. Vis. Image Underst. 107(1-2): 97-107 (2007) - [j6]Céline Mancas-Thillou, Silvio Ferreira, Jonathan Demeyer, Christophe Minetti, Bernard Gosselin:
A Multifunctional Reading Assistant for the Visually Impaired. EURASIP J. Image Video Process. 2007 (2007) - [j5]Matei Mancas, Bernard Gosselin, Benoît Macq:
Perceptual Image Representation. EURASIP J. Image Video Process. 2007 (2007) - [j4]Konstantinos Kostopoulos, Konstantinos Moustakas, Dimitrios Tzovaras, Giorgos Nikolakis, Céline Thillou, Bernard Gosselin:
Haptic access to conventional 2D maps for the visually impaired. J. Multimodal User Interfaces 1(2): 13-19 (2007) - 2006
- [c19]Matei Mancas, Céline Mancas-Thillou, Bernard Gosselin, Benoît Macq:
A Rarity-Based Visual Attention Map - Application to Texture Description. ICIP 2006: 445-448 - [c18]Céline Mancas-Thillou, Bernard Gosselin:
Spatial and Color Spaces Combination for Natural Scene Text Extraction. ICIP 2006: 985-988 - [c17]Céline Mancas-Thillou, Bernard Gosselin:
Character Segmentation-by-Recognition Using Log-Gabor Filters. ICPR (2) 2006: 901-904 - [c16]Matei Mancas, Bernard Gosselin, Benoît Macq:
Segmentation using a region-growing thresholding. Image Processing: Algorithms and Systems 2006: 388-398 - 2005
- [j3]Céline Thillou, Silvio Ferreira, Bernard Gosselin:
An Embedded Application for Degraded Text Recognition. EURASIP J. Adv. Signal Process. 2005(13): 2127-2135 (2005) - [c15]Céline Thillou, Bernard Gosselin:
Color binarization for complex camera-based images. Color Imaging: Processing, Hardcopy, and Applications 2005: 301-308 - [c14]Vincent Gaudissart, Silvio Ferreira, Céline Thillou, Bernard Gosselin:
Sypole: A mobile assistant for the blind. EUSIPCO 2005: 1-4 - [c13]Devrim Ünay, Bernard Gosselin:
Thresholding-based segmentation and apple grading by machine vision. EUSIPCO 2005: 1-4 - [c12]Matei Mancas, Bernard Gosselin, Benoît Macq:
Fast and Automatic Tumoral Area Localisation using Symmetry. ICASSP (2) 2005: 725-728 - [c11]Céline Mancas-Thillou, Bernard Gosselin:
Color Text Extraction from Camera-based Images the Impact of the Choice of the Clustering Distance. ICDAR 2005: 312-316 - [c10]Céline Mancas-Thillou, Matei Mancas, Bernard Gosselin:
Camera-based Degraded Character Segmentation into Individual Components. ICDAR 2005: 755-759 - [c9]Raphaël Sebbe, Bernard Gosselin, Emmanuel Coche, Benoît Macq:
Model-guided segmentation of opacified thorax vessels. ICIP (1) 2005: 25-28 - [c8]Devrim Ünay, Bernard Gosselin:
Artificial neural network-based segmentation and apple grading by machine vision. ICIP (2) 2005: 630-633 - 2004
- [c7]Devrim Ünay, Bernard Gosselin:
Stem-End/Calyx Detection in Apple Fruits - Comparison of Feature Selection Methods and Classifiers. ICCVG 2004: 420-425 - [c6]Céline Thillou, Bernard Gosselin:
Segmentation-Based Binarization for Color Degraded Images. ICCVG 2004: 808-813 - [c5]Antoine Luijkx, Céline Thillou, Bernard Gosselin:
A Prolongation-Based Approach for Recognizing Cut Characters. ICCVG 2004: 1125-1130 - [c4]Matei Mancas, Bernard Gosselin:
Towards an automatic tumor segmentation using iterative watersheds. Medical Imaging: Image Processing 2004 - [c3]Matei Mancas, Bernard Gosselin, Benoît Macq:
Automatic Fast Detection of Tumor Suspect Areas on CT Scan. IEEE Visualization 2004: 33
1990 – 1999
- 1998
- [c2]Bernard Gosselin:
Enhancing handwritten character images thanks to a re-sampling process based on convex hull extraction. EUSIPCO 1998: 1-4 - 1996
- [j2]Bernard Gosselin:
Multilayer Perceptrons Combination Applied to Handwritten Character Recognition. Neural Process. Lett. 3(1): 3-10 (1996) - [j1]Thierry Dutoit, Bernard Gosselin:
On the use of a hybrid harmonic/stochastic model for TTS synthesis-by-concatenation. Speech Commun. 19(2): 119-143 (1996) - [c1]Bernard Gosselin:
Optimal neural networks combination for handwritten character recognition. EUSIPCO 1996: 1-4
Coauthor Index
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