Guillaume Tochon

发表

On the use of binary partition trees for the tree crown segmentation of tropical rainforest hyperspectral images

Jocelyn Chanussot, Roberta E. Martin, Philippe Salembier, 2015 .

Hyperspectral Local Intrinsic Dimensionality

Jocelyn Chanussot, Christian Jutten, Guillaume Tochon, 2016, IEEE Transactions on Geoscience and Remote Sensing.

Estimating the Number of Endmembers to Use in Spectral Unmixing of Hyperspectral Data with Collaborative Sparsity

Jocelyn Chanussot, Christian Jutten, Guillaume Tochon, 2017, LVA/ICA.

Object Tracking by Hierarchical Decomposition of Hyperspectral Video Sequences: Application to Chemical Gas Plume Tracking

Jocelyn Chanussot, Guillaume Tochon, Andrea L. Bertozzi, 2017, IEEE Transactions on Geoscience and Remote Sensing.

Binary partition tree as a hyperspectral segmentation tool for tropical rainforests

Jocelyn Chanussot, Gregory Asner, Roberta E. Martin, 2012, 2012 IEEE International Geoscience and Remote Sensing Symposium.

Braids of partitions for the hierarchical representation and segmentation of multimodal images

Jocelyn Chanussot, Guillaume Tochon, Mauro Dalla Mura, 2019, Pattern Recognit..

Hierarchical analysis of multimodal images

Guillaume Tochon, G. Tochon, 2015 .

A comparison study between windowing and binary partition trees for hyperspectral image information mining

Antonio J. Plaza, Jocelyn Chanussot, Guillaume Tochon, 2013, 2013 IEEE International Geoscience and Remote Sensing Symposium - IGARSS.

Constructing a Braid of Partitions from Hierarchies of Partitions

Jocelyn Chanussot, Guillaume Tochon, Mauro Dalla Mura, 2019, ISMM.

A First Step Toward a Fair Comparison of Evaluation Protocols for Text Detection Algorithms

Guillaume Tochon, Élodie Puybareau, Jonathan Fabrizio, 2018, 2018 13th IAPR International Workshop on Document Analysis Systems (DAS).

Learning Sentinel-2 Spectral Dynamics for Long-Run Predictions Using Residual Neural Networks

Guillaume Tochon, Lucas Drumetz, Joaquim Estopinan, 2020 .

From local to global unmixing of hyperspectral images to reveal spectral variability

Jocelyn Chanussot, Guillaume Tochon, Miguel Angel Veganzones, 2016, 2016 8th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS).

Deep neural networks for aberration compensation in digital holographic imaging of the retina (Conference Presentation)

Serge Meimon, Guillaume Tochon, Michel Pâques, 2019 .

Improved Local Spectral Unmixing of hyperspectral data using an algorithmic regularization path for collaborative sparse regression

Jocelyn Chanussot, Christian Jutten, Guillaume Tochon, 2017, 2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Motion Compensation In Digital Holography For Retinal Imaging

Serge Meimon, Guillaume Tochon, Michel Pâques, 2019, 2019 IEEE 16th International Symposium on Biomedical Imaging (ISBI 2019).

Binary partition tree-based local spectral unmixing

Antonio J. Plaza, Jocelyn Chanussot, Guillaume Tochon, 2014, 2014 6th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS).

Binary Partition Trees-Based Spectral-Spatial Permutation Ordering

Jocelyn Chanussot, Guillaume Tochon, Miguel Angel Veganzones, 2015, ISMM.

Estimating the Noise Level Function with the Tree of Shapes and Non-parametric Statistics

Guillaume Tochon, Thierry Géraud, Baptiste Esteban, 2019, CAIP.

Hyperspectral image segmentation using a new spectral mixture-based binary partition tree representation

Antonio J. Plaza, Jocelyn Chanussot, Guillaume Tochon, 2013, 2013 IEEE International Conference on Image Processing.

Deep neural networks for aberration compensation in digital holographic imaging of the retina

Serge Meimon, Guillaume Tochon, Julie Rivet, 2019 .

Unmixing-based gas plume tracking in LWIR hyperspectral video sequences

Jocelyn Chanussot, Guillaume Tochon, Mauro Dalla Mura, 2016, 2016 8th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS).

A new extended linear mixing model to address spectral variability

Antonio J. Plaza, Jocelyn Chanussot, José M. Bioucas-Dias, 2014, 2014 6th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS).

Experimental digital Gabor hologram rendering of C. elegans worms by a model-trained convolutional neural network (Conference Presentation)

Guillaume Tochon, Nicolas Boutry, Julie Rivet, 2020 .

Hyperspectral Image Segmentation Using a New Spectral Unmixing-Based Binary Partition Tree Representation

Antonio J. Plaza, Jocelyn Chanussot, Guillaume Tochon, 2014, IEEE Transactions on Image Processing.

Segmentation of Gliomas and Prediction of Patient Overall Survival: A Simple and Fast Procedure

Joseph Chazalon, Guillaume Tochon, Élodie Puybareau, 2018, BrainLes@MICCAI.

Two Stages CNN-Based Segmentation of Gliomas, Uncertainty Quantification and Prediction of Overall Patient Survival

Joseph Chazalon, Guillaume Tochon, Élodie Puybareau, 2019, BrainLes@MICCAI.

Gas plume detection and tracking in hyperspectral video sequences using Binary Partition Trees

Jocelyn Chanussot, Guillaume Tochon, Andrea L. Bertozzi, 2014, 2014 6th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS).

Learning Endmember Dynamics in Multitemporal Hyperspectral Data Using A State-Space Model Formulation

Guillaume Tochon, Ronan Fablet, Mauro Dalla Mura, 2020, ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Segmentation of Multimodal Images Based on Hierarchies of Partitions

Jocelyn Chanussot, Guillaume Tochon, Mauro Dalla Mura, 2015, ISMM.

Using Separated Inputs for Multimodal Brain Tumor Segmentation with 3D U-Net-like Architectures

Joseph Chazalon, Guillaume Tochon, Nicolas Boutry, 2019, BrainLes@MICCAI.

Going beyond p-convolutions to learn grayscale morphological operators

Guillaume Tochon, Alexandre Kirszenberg, Elodie Puybareau, 2021, DGMM.

QU-BraTS: MICCAI BraTS 2020 Challenge on Quantifying Uncertainty in Brain Tumor Segmentation - Analysis of Ranking Metrics and Benchmarking Results pdf

Christos Davatzikos, Gowtham Krishnan Murugesan, Chandan Ganesh, 2021, ArXiv.

On Some Associations Between Mathematical Morphology and Artificial Intelligence

Isabelle Bloch, Ramón Pino Pérez, Guillaume Tochon, 2021, DGMM.

Stability of the Tree of Shapes to Additive Noise

Guillaume Tochon, Nicolas Boutry, 2021, DGMM.