André Bigand

35 papers B 3C 3Journal 16Unranked 12
YearRankTypeTitle / Venue / Authors
2024 J jnl
A comprehensive survey on object detection in Visual Art: taxonomy and challenge.
Multim. Tools Appl.
Siwar Ben Gamra, Olfa Mzoughi, André Bigand, Ezzeddine Zagrouba
2023 C conf
An eXplainable Artificial Intelligence Method for Deep Learning-Based Face Detection in Paintings.
ISCC
Siwar Ben Gamra, Ezzeddine Zagrouba, André Bigand
2023 — conf
Explainable AI for Deep Learning Based Potato Leaf Disease Detection.
FUZZ
Siwar Ben Gamra, Ezzeddine Zagrouba, André Bigand
2023 C conf
Towards Explainability in Using Deep Learning for Face Detection in Paintings.
ICPRAM
Siwar Ben Gamra, Olfa Mzoughi, André Bigand, Ezzeddine Zagrouba
2021 — conf
New Challenges of Face Detection in Paintings based on Deep Learning.
VISIGRAPP (4: VISAPP)
Siwar Ben Gamra, Olfa Mzoughi, André Bigand, Ezzeddine Zagrouba
2021 J jnl
Stopping Criterion during Rendering of Computer-Generated Images Based on SVD-Entropy.
Entropy
Jérôme Buisine, André Bigand, Rémi Synave, Samuel Delepoulle, Christophe Renaud
2021 C conf
Symbolic Translation of Time Series using Piecewise N-gram Similarity Voting.
ICPRAM
Siegfried Delannoy, Émilie Poisson Caillault, André Bigand, Kevin Rousseeuw
2020 J jnl
Dynamic time warping-based imputation for univariate time series data.
Pattern Recognit. Lett.
Thi-Thu-Hong Phan, Émilie Poisson Caillault, Alain Lefebvre, André Bigand
2020 J jnl
On the Use of Deep Active Semi-Supervised Learning for Fast Rendering in Global Illumination.
J. Imaging
Ibtissam Constantin, Joseph Constantin, André Bigand
2020 J jnl
Pooling spike neural network for fast rendering in global illumination.
Neural Comput. Appl.
Joseph Constantin, André Bigand, Ibtissam Constantin
2019 — conf
eDTWBI: Effective Imputation Method for Univariate Time Series.
ICCSAMA
Thi-Thu-Hong Phan, Émilie Poisson Caillault, André Bigand
2018 J jnl
A New Fuzzy Logic-Based Similarity Measure Applied to Large Gap Imputation for Uncorrelated Multivariate Time Series.
Appl. Comput. Intell. Soft Comput.
Thi-Thu-Hong Phan, André Bigand, Émilie Caillault Poisson
2018 J jnl
Background Subtraction Based on a New Fuzzy Mixture of Gaussians for Moving Object Detection.
J. Imaging
Ali Darwich, Pierre-Alexandre Hébert, André Bigand, Yasser Mohanna
2018 — conf
Comparative Study on Univariate Forecasting Methods for Meteorological Time Series.
EUSIPCO
Thi-Thu-Hong Phan, Émilie Caillault Poisson, André Bigand
2018 B conf
Face Detection in Painting Using Deep Convolutional Neural Networks.
ACIVS
Olfa Mzoughi, André Bigand, Christophe Renaud
2018 — book
Image Quality Assessment of Computer-generated Images - Based on Machine Learning and Soft Computing
André Bigand, Julien Dehos, Christophe Renaud, Joseph Constantin
2017 J jnl
Comparative study on supervised learning methods for identifying phytoplankton species.
CoRR
Thi-Thu-Hong Phan, Émilie Caillault Poisson, André Bigand
2017 — conf
DTW-Approach for uncorrelated multivariate time series imputation.
MLSP
Thi-Thu-Hong Phan, Émilie Caillault Poisson, André Bigand, Alain Lefebvre
2017 — conf
Pooling Spike Neural Network for Acceleration of Global Illumination Rendering.
IWANN (1)
Joseph Constantin, André Bigand, Ibtissam Constantin
2016 J jnl
Membership function construction for interval-valued fuzzy sets with application to Gaussian noise reduction.
Fuzzy Sets Syst.
André Bigand, Olivier Colot
2016 B conf
Perception of noise in global illumination based on inductive learning.
IJCNN
Joseph Constantin, Ibtissam Constantin, André Bigand, Denis Hamad
2015 J jnl
Image noise detection in global illumination methods based on FRVM.
Neurocomputing
Joseph Constantin, André Bigand, Ibtissam Constantin, Denis Hamad
2014 — conf
Noise Estimation for Computer-Generated Images Using an Interval Type-2 Fuzzy Sets Filter.
IEEE Conf. on Intelligent Systems (2)
Samuel Delepoulle, André Bigand, Christophe Renaud
2013 — conf
Image Noise Detection in Global Illumination Methods Based on Fast Relevance Vector Machine.
IWANN (2)
Joseph Constantin, André Bigand, Ibtissam Constantin, Denis Hamad
2013 — conf
Out of samples extensions for SC-LLE, new nonlinear dimensionality reduction algorithm.
ICCIT
Hala Hijazi, Oussama Bazzi, André Bigand
2013 — conf
Reduced-reference quality assessment of computer-generated images based on RVM.
ICCIT
Joseph Constantin, Samuel Delepoulle, André Bigand, Christophe Renaud
2012 — conf
A no-reference computer-generated images quality metric and its application to denoising.
IEEE Conf. of Intelligent Systems
Samuel Delepoulle, André Bigand, Christophe Renaud
2012 — conf
Speckle noise reduction using an interval type-2 fuzzy sets filter.
IEEE Conf. of Intelligent Systems
André Bigand, Olivier Colot
2010 J jnl
Fuzzy filter based on interval-valued fuzzy sets for image filtering.
Fuzzy Sets Syst.
André Bigand, Olivier Colot
2007 B conf
Color Image Segmentation Based on Type-2 Fuzzy Sets and Region Merging.
ACIVS
Samy Tehami, André Bigand, Olivier Colot
2006 J jnl
A new perceptual organization approach to 3D measuring system based on the fuzzy integral.
Image Vis. Comput.
André Bigand, Ludovic Evrard, Jean-Paul Dubus
2004 J jnl
Visual acuity of vision tested by fuzzy logic: An application in ophthalmology as a step towards a telemedicine project.
Inf. Fusion
Abdelmalik Taleb-Ahmed, André Bigand, V. Lethuc, P. M. Allioux
2003 J jnl
Telemedicine and fuzzy logic: application in ophthalmology.
Pattern Recognit. Lett.
Abdelmalik Taleb-Ahmed, André Bigand
2001 J jnl
A new stereomatching algorithm based on linear features and the fuzzy integral.
Pattern Recognit. Lett.
André Bigand, Thierry Bouwmans, Jean-Paul Dubus
2001 J jnl
Extraction of line segments from fuzzy images.
Pattern Recognit. Lett.
André Bigand, Thierry Bouwmans, Jean-Paul Dubus