Guillaume Tochon

47 papers A* 1B 4C 5Misc 3Journal 15Unranked 19

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Augmented Invertible Koopman Autoencoder for long-term time series forecasting. CoRR Anthony Frion, Lucas Drumetz, Mauro Dalla Mura, Guillaume Tochon, Abdeldjalil Aïssa-El-Bey
2025	J	`jnl`	Augmented Invertible Koopman Autoencoder for long-term time series forecasting. Trans. Mach. Learn. Res. Anthony Frion, Lucas Drumetz, Mauro Dalla Mura, Guillaume Tochon, Abdeldjalil Aïssa-El-Bey
2025	—	`conf`	Improving Morphological Networks for Learning Image-to-Image Transforms. DGMM Antoine Bottenmuller, Guillaume Tochon, Romain Hermary, Élodie Puybareau, Gustavo Angulo
2024	—	`conf`	Koopman Ensembles for Probabilistic Time Series Forecasting. EUSIPCO Anthony Frion, Lucas Drumetz, Guillaume Tochon, Mauro Dalla Mura, Abdeldjalil Aïssa-El-Bey
2024	J	`jnl`	Koopman Ensembles for Probabilistic Time Series Forecasting. CoRR Anthony Frion, Lucas Drumetz, Guillaume Tochon, Mauro Dalla Mura, Abdeldjalil Aïssa-El-Bey
2024	J	`jnl`	Neural Koopman Prior for Data Assimilation. IEEE Trans. Signal Process. Anthony Frion, Lucas Drumetz, Mauro Dalla Mura, Guillaume Tochon, Abdeldjalil Aïssa-El-Bey
2023	—	`conf`	Learning Sentinel-2 Reflectance Dynamics for Data-Driven Assimilation and Forecasting. EUSIPCO Anthony Frion, Lucas Drumetz, Guillaume Tochon, Mauro Dalla Mura, Abdeldjalil Aïssa-El-Bey
2023	J	`jnl`	Learning Sentinel-2 reflectance dynamics for data-driven assimilation and forecasting. CoRR Anthony Frion, Lucas Drumetz, Guillaume Tochon, Mauro Dalla Mura, Abdeldjalil Aïssa-El-Bey
2023	Misc	`conf`	Leveraging Neural Koopman Operators to Learn Continuous Representations of Dynamical Systems from Scarce Data. ICASSP Anthony Frion, Lucas Drumetz, Mauro Dalla Mura, Guillaume Tochon, Abdeldjalil Aïssa-El-Bey
2023	J	`jnl`	Leveraging Neural Koopman Operators to Learn Continuous Representations of Dynamical Systems from Scarce Data. CoRR Anthony Frion, Lucas Drumetz, Mauro Dalla Mura, Guillaume Tochon, Abdeldjalil Aïssa-El-Bey
2023	J	`jnl`	Neural Koopman prior for data assimilation. CoRR Anthony Frion, Lucas Drumetz, Mauro Dalla Mura, Guillaume Tochon, Abdeldjalil Aïssa-El-Bey
2023	—	`conf`	Structural Analysis of the Additive Noise Impact on the α -tree. CAIP (2) Baptiste Esteban, Guillaume Tochon, Edwin Carlinet, Didier Verna
2023	A*	`conf`	Why is the Winner the Best? CVPR Matthias Eisenmann, Annika Reinke, Vivienn Weru, Minu Dietlinde Tizabi, Fabian Isensee, Tim J. Adler, Sharib Ali, Vincent Andrearczyk, Marc Aubreville, Ujjwal Baid, Spyridon Bakas, Niranjan Balu, Sophia Bano, Jorge Bernal, Sebastian Bodenstedt, Alessandro Casella, Veronika Cheplygina, Marie Daum, Marleen de Bruijne, Adrien Depeursinge, Reuben Dorent, Jan Egger, David G. Ellis, Sandy Engelhardt, Melanie Ganz, Noha M. Ghatwary, Gabriel Girard, Patrick Godau, Anubha Gupta, Lasse Hansen, Kanako Harada, Mattias P. Heinrich, Nicholas Heller, Alessa Hering, Arnaud Huaulmé, Pierre Jannin, A. Emre Kavur, Oldrich Kodym, Michal Kozubek, Jianning Li, Hongwei Bran Li, Jun Ma, Carlos Martín-Isla, Bjoern H. Menze, J. Alison Noble, Valentin Oreiller, Nicolas Padoy, Sarthak Pati, Kelly Payette, Tim Rädsch, Jonathan Rafael-Patino, Vivek Singh Bawa, Stefanie Speidel, Carole H. Sudre, Kimberlin M. H. van Wijnen, Martin Wagner, D. Wei, Amine Yamlahi, Moi Hoon Yap, C. Yuan, Maximilian Zenk, A. Zia, David Zimmerer, Dogu Baran Aydogan, Binod Bhattarai, Louise Bloch, Raphael Brüngel, J. Cho, C. Choi, Q. Dou, Ivan Ezhov, Christoph M. Friedrich, C. Fuller, Rebati Raman Gaire, Adrian Galdran, Álvaro García-Faura, Maria Grammatikopoulou, S. Hong, Mostafa Jahanifar, I. Jang, Abdolrahim Kadkhodamohammadi, I. Kang, Florian Kofler, S. Kondo, Hugo Jaco Kuijf, M. Li, M. Luu, Tomaz Martincic, Pedro Morais, Mohamed A. Naser, Bruno Oliveira, David Owen, S. Pang, J. Park, S. Park, Szymon Plotka, Élodie Puybareau, Nasir M. Rajpoot, K. Ryu, Numan Saeed, Adam Shephard, Pengcheng Shi, Dejan Stepec, Ronast Subedi, Guillaume Tochon, Helena R. Torres, Hélène Urien, João L. Vilaça, Kareem A. Wahid, H. Wang, J. Wang, L. Wang, X. Wang, Benedikt Wiestler, Marek Wodzinski, F. Xia, J. Xie, Z. Xiong, Sen Yang, Y. Yang, Zixuan Zhao, Klaus H. Maier-Hein, Paul F. Jäger, Annette Kopp-Schneider, Lena Maier-Hein
2022	B	`conf`	Estimation of the noise level function for color images using mathematical morphology and non-parametric statistics. ICPR Baptiste Esteban, Guillaume Tochon, Edwin Carlinet, Didier Verna
2022	J	`jnl`	Learning Grayscale Mathematical Morphology with Smooth Morphological Layers. J. Math. Imaging Vis. Romain Hermary, Guillaume Tochon, Élodie Puybareau, Alexandre Kirszenberg, Jesús Angulo
2022	B	`conf`	The Cost of Dynamism in Static Languages for Image Processing. GPCE Baptiste Esteban, Edwin Carlinet, Guillaume Tochon, Didier Verna
2022	J	`jnl`	Where is VALDO? VAscular Lesions Detection and segmentatiOn challenge at MICCAI 2021. CoRR Carole H. Sudre, Kimberlin M. H. van Wijnen, Florian Dubost, Hieab Adams, David Atkinson, Frederik Barkhof, Mahlet A. Birhanu, Esther E. Bron, Robin Camarasa, Nish Chaturvedi, Yuan Chen, Zihao Chen, Shuai Chen, Qi Dou, Tavia E. Evans, Ivan Ezhov, Haojun Gao, Marta Gironés-Sangüesa, Juan Domingo Gispert, Beatriz Gomez Anson, Alun D. Hughes, Mohammad Arfan Ikram, Silvia Ingala, Hans Rolf Jäger, Florian Kofler, Hugo J. Kuijf, Denis Kutnar, Minho Lee, Bo Li, Luigi Lorenzini, Bjoern H. Menze, José Luis Molinuevo, Yiwei Pan, Élodie Puybareau, Rafael Rehwald, Ruisheng Su, Pengcheng Shi, Lorna Smith, Therese Tillin, Guillaume Tochon, Hélène Urien, Bas H. M. van der Velden, Isabelle F. van der Velpen, Benedikt Wiestler, Frank J. Wolters, Pinar Yilmaz, Marius de Groot, Meike W. Vernooij, Marleen de Bruijne
2021	—	`conf`	Going Beyond p-convolutions to Learn Grayscale Morphological Operators. DGMM Alexandre Kirszenberg, Guillaume Tochon, Élodie Puybareau, Jesús Angulo
2021	J	`jnl`	Going beyond p-convolutions to learn grayscale morphological operators. CoRR Alexandre Kirszenberg, Guillaume Tochon, Élodie Puybareau, Jesús Angulo
2021	—	`conf`	Learning Sentinel-2 Spectral Dynamics for Long-Run Predictions using Residual Neural Networks. EUSIPCO Joaquim Estopinan, Guillaume Tochon, Lucas Drumetz
2021	—	`conf`	On Some Associations Between Mathematical Morphology and Artificial Intelligence. DGMM Isabelle Bloch, Samy Blusseau, Ramón Pino Pérez, Élodie Puybareau, Guillaume Tochon
2021	J	`jnl`	QU-BraTS: MICCAI BraTS 2020 Challenge on Quantifying Uncertainty in Brain Tumor Segmentation - Analysis of Ranking Metrics and Benchmarking Results. CoRR Raghav Mehta, Angelos Filos, Ujjwal Baid, Chiharu Sako, Richard McKinley, Michael Rebsamen, Katrin Dätwyler, Raphael Meier, Piotr Radojewski, Gowtham Krishnan Murugesan, Sahil S. Nalawade, Chandan Ganesh, Benjamin C. Wagner, Fang F. Yu, Baowei Fei, Ananth J. Madhuranthakam, Joseph A. Maldjian, Laura Alexandra Daza, Catalina Gómez Caballero, Pablo Arbeláez, Chengliang Dai, Shuo Wang, Hadrien Raynaud, Yuanhan Mo, Elsa D. Angelini, Yike Guo, Wenjia Bai, Subhashis Banerjee, Linmin Pei, Murat Ak, Sarahi Rosas-González, Ilyess Zemmoura, Clovis Tauber, Minh H. Vu, Tufve Nyholm, Tommy Löfstedt, Laura Mora Ballestar, Verónica Vilaplana, Hugh McHugh, Gonzalo D. Maso Talou, Alan Wang, Jay B. Patel, Ken Chang, Katharina Hoebel, Mishka Gidwani, Nishanth Thumbavanam Arun, Sharut Gupta, Mehak Aggarwal, Praveer Singh, Elizabeth R. Gerstner, Jayashree Kalpathy-Cramer, Nicolas Boutry, Alexis Huard, Lasitha Vidyaratne, Md Monibor Rahman, Khan M. Iftekharuddin, Joseph Chazalon, Élodie Puybareau, Guillaume Tochon, Jun Ma, Mariano Cabezas, Xavier Lladó, Arnau Oliver, Liliana Valencia, Sergi Valverde, Mehdi Amian, Mohammadreza Soltaninejad, Andriy Myronenko, Ali Hatamizadeh, Xue Feng, Quan Dou, Nicholas J. Tustison, Craig H. Meyer, Nisarg A. Shah, Sanjay N. Talbar, Marc-André Weber, Abhishek Mahajan, András Jakab, Roland Wiest, Hassan M. Fathallah-Shaykh, Arash Nazeri, Mikhail Milchenko, Daniel S. Marcus, Aikaterini Kotrotsou, Rivka Colen, John B. Freymann, Justin S. Kirby, Christos Davatzikos, Bjoern H. Menze, Spyridon Bakas, Yarin Gal, Tal Arbel
2021	—	`conf`	Stability of the Tree of Shapes to Additive Noise. DGMM Nicolas Boutry, Guillaume Tochon
2020	Misc	`conf`	Learning Endmember Dynamics in Multitemporal Hyperspectral Data Using A State-Space Model Formulation. ICASSP Lucas Drumetz, Mauro Dalla Mura, Guillaume Tochon, Ronan Fablet
2019	J	`jnl`	Braids of partitions for the hierarchical representation and segmentation of multimodal images. Pattern Recognit. Guillaume Tochon, Mauro Dalla Mura, Miguel Angel Veganzones, Thierry Géraud, Jocelyn Chanussot
2019	C	`conf`	Constructing a Braid of Partitions from Hierarchies of Partitions. ISMM Guillaume Tochon, Mauro Dalla Mura, Jocelyn Chanussot
2019	—	`conf`	Estimating the Noise Level Function with the Tree of Shapes and Non-parametric Statistics. CAIP (2) Baptiste Esteban, Guillaume Tochon, Thierry Géraud
2019	—	`conf`	Motion Compensation In Digital Holography For Retinal Imaging. ISBI Julie Rivet, Guillaume Tochon, Serge Meimon, Michel Pâques, Thierry Géraud, Michael Atlan
2019	—	`conf`	Two Stages CNN-Based Segmentation of Gliomas, Uncertainty Quantification and Prediction of Overall Patient Survival. BrainLes@MICCAI (2) Thibault Buatois, Élodie Puybareau, Guillaume Tochon, Joseph Chazalon
2019	—	`conf`	Using Separated Inputs for Multimodal Brain Tumor Segmentation with 3D U-Net-like Architectures. BrainLes@MICCAI (1) Nicolas Boutry, Joseph Chazalon, Élodie Puybareau, Guillaume Tochon, Hugues Talbot, Thierry Géraud
2018	B	`conf`	A First Step Toward a Fair Comparison of Evaluation Protocols for Text Detection Algorithms. DAS Aliona Dangla, Élodie Puybareau, Guillaume Tochon, Jonathan Fabrizio
2018	—	`conf`	Segmentation of Gliomas and Prediction of Patient Overall Survival: A Simple and Fast Procedure. BrainLes@MICCAI (2) Élodie Puybareau, Guillaume Tochon, Joseph Chazalon, Jonathan Fabrizio
2017	—	`conf`	Estimating the Number of Endmembers to Use in Spectral Unmixing of Hyperspectral Data with Collaborative Sparsity. LVA/ICA Lucas Drumetz, Guillaume Tochon, Jocelyn Chanussot, Christian Jutten
2017	Misc	`conf`	Improved Local Spectral Unmixing of hyperspectral data using an algorithmic regularization path for collaborative sparse regression. ICASSP Lucas Drumetz, Guillaume Tochon, Miguel Angel Veganzones, Jocelyn Chanussot, Christian Jutten
2017	J	`jnl`	Object Tracking by Hierarchical Decomposition of Hyperspectral Video Sequences: Application to Chemical Gas Plume Tracking. IEEE Trans. Geosci. Remote. Sens. Guillaume Tochon, Jocelyn Chanussot, Mauro Dalla Mura, Andrea L. Bertozzi
2016	—	`conf`	From local to global unmixing of hyperspectral images to reveal spectral variability. WHISPERS Guillaume Tochon, Lucas Drumetz, Miguel Angel Veganzones, Mauro Dalla Mura, Jocelyn Chanussot
2016	J	`jnl`	Hyperspectral Local Intrinsic Dimensionality. IEEE Trans. Geosci. Remote. Sens. Lucas Drumetz, Miguel Angel Veganzones, Ruben Marrero Gomez, Guillaume Tochon, Mauro Dalla Mura, Giorgio A. Licciardi, Christian Jutten, Jocelyn Chanussot
2016	—	`conf`	Unmixing-based gas plume tracking in LWIR hyperspectral video sequences. WHISPERS Guillaume Tochon, Delphine Pauwels, Mauro Dalla Mura, Jocelyn Chanussot
2015	C	`conf`	Binary Partition Trees-Based Spectral-Spatial Permutation Ordering. ISMM Miguel Angel Veganzones, Mauro Dalla Mura, Guillaume Tochon, Jocelyn Chanussot
2015	C	`conf`	Segmentation of Multimodal Images Based on Hierarchies of Partitions. ISMM Guillaume Tochon, Mauro Dalla Mura, Jocelyn Chanussot
2014	—	`conf`	A new extended linear mixing model to address spectral variability. WHISPERS Miguel Angel Veganzones, Lucas Drumetz, Guillaume Tochon, Mauro Dalla Mura, Antonio Plaza, José M. Bioucas-Dias, Jocelyn Chanussot
2014	—	`conf`	Binary partition tree-based local spectral unmixing. WHISPERS Lucas Drumetz, Miguel Angel Veganzones, Ruben Marrero, Guillaume Tochon, Mauro Dalla Mura, Antonio Plaza, Jocelyn Chanussot
2014	—	`conf`	Gas plume detection and tracking in hyperspectral video sequences using Binary Partition Trees. WHISPERS Guillaume Tochon, Jocelyn Chanussot, Jérôme Gilles, Mauro Dalla Mura, Jen-Mei Chang, Andrea L. Bertozzi
2014	J	`jnl`	Hyperspectral Image Segmentation Using a New Spectral Unmixing-Based Binary Partition Tree Representation. IEEE Trans. Image Process. Miguel Angel Veganzones, Guillaume Tochon, Mauro Dalla Mura, Antonio J. Plaza, Jocelyn Chanussot
2013	C	`conf`	A comparison study between windowing and binary partition trees for hyperspectral image information mining. IGARSS Miguel Angel Veganzones, Guillaume Tochon, Mauro Dalla Mura, Antonio J. Plaza, Jocelyn Chanussot
2013	B	`conf`	Hyperspectral image segmentation using a new spectral mixture-based binary partition tree representation. ICIP Miguel Angel Veganzones, Guillaume Tochon, Mauro Dalla Mura, Antonio J. Plaza, Jocelyn Chanussot
2012	C	`conf`	Binary partition tree as a hyperspectral segmentation tool for tropical rainforests. IGARSS Guillaume Tochon, Jean-Baptiste Féret, Roberta E. Martin, Raul Tupayachi, Jocelyn Chanussot, Gregory P. Asner