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Laurent Najman
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2020 – today
- 2025
- [j70]Yuliang Gu, Zhichao Sun, Tian Chen, Xin Xiao, Yepeng Liu, Yongchao Xu
, Laurent Najman
:
Dual structure-aware image filterings for semi-supervised medical image segmentation. Medical Image Anal. 99: 103364 (2025) - 2024
- [j69]Caroline Mazini Rodrigues
, Nicolas Boutry, Laurent Najman
:
Unsupervised discovery of interpretable visual concepts. Inf. Sci. 661: 120159 (2024) - [j68]Zeev Gutman, Ritvik Vij, Laurent Najman, Michael Lindenbaum:
Assessing Hierarchies by Their Consistent Segmentations. J. Math. Imaging Vis. 66(3): 314-334 (2024) - [j67]Caroline Mazini Rodrigues
, Nicolas Boutry
, Laurent Najman
:
Transforming gradient-based techniques into interpretable methods. Pattern Recognit. Lett. 184: 66-73 (2024) - [c103]Yuliang Gu, Yepeng Liu, Zhichao Sun, Jinchi Zhu, Yongchao Xu, Laurent Najman:
Shape Transformation Driven by Active Contour for Class-Imbalanced Semi-Supervised Medical Image Segmentation. BIBM 2024: 1966-1973 - [c102]Raoul Sallé de Chou
, Mohamed Ali Srir, Laurent Najman
, Nicolas Passat
, Hugues Talbot
, Irene E. Vignon-Clementel
:
Convex Optimization for Binary Tree-Based Transport Networks. DGMM 2024: 217-228 - [c101]Gilles Bertrand
, Laurent Najman
:
Morse Frames. DGMM 2024: 364-376 - [i39]Caroline Mazini Rodrigues, Nicolas Boutry, Laurent Najman:
Transforming gradient-based techniques into interpretable methods. CoRR abs/2401.14434 (2024) - [i38]Gilles Bertrand, Laurent Najman:
Morse frames. CoRR abs/2402.02874 (2024) - [i37]Sarah Almeida Carneiro, Giovanni Chierchia, Aurélie Pirayre, Laurent Najman:
Clustering Dynamics for Improved Speed Prediction Deriving from Topographical GPS Registrations. CoRR abs/2402.07507 (2024) - [i36]Aditya Challa, Sravan Danda, Laurent Najman:
A Novel Approach to Regularising 1NN classifier for Improved Generalization. CoRR abs/2402.08405 (2024) - [i35]Quentin Garrido, Mahmoud Assran, Nicolas Ballas, Adrien Bardes, Laurent Najman, Yann LeCun:
Learning and Leveraging World Models in Visual Representation Learning. CoRR abs/2403.00504 (2024) - [i34]Miriam Doh, Caroline Mazini Rodrigues, Nicolas Boutry, Laurent Najman, Matei Mancas, Hugues Bersini:
Bridging Human Concepts and Computer Vision for Explainable Face Verification. CoRR abs/2403.08789 (2024) - [i33]Aditya Challa, Sravan Danda, Laurent Najman, Snehanshu Saha:
Quantile Activation: departing from single point estimation for better generalization across distortions. CoRR abs/2405.11573 (2024) - [i32]Caroline Mazini Rodrigues, Nicolas Boutry, Laurent Najman:
Reasoning with trees: interpreting CNNs using hierarchies. CoRR abs/2406.13257 (2024) - [i31]Ismail Labiad, Thomas Bäck, Pierre Fernandez, Laurent Najman, Tom Sander, Furong Ye, Mariia Zameshina, Olivier Teytaud:
Log-normal Mutations and their Use in Detecting Surreptitious Fake Images. CoRR abs/2409.15119 (2024) - [i30]Mathurin Videau, Mariia Zameshina, Alessandro Ferreira Leite, Laurent Najman, Marc Schoenauer, Olivier Teytaud:
Evolutionary Retrofitting. CoRR abs/2410.11330 (2024) - [i29]Yuliang Gu, Yepeng Liu, Zhichao Sun, Jinchi Zhu, Yongchao Xu, Laurent Najman:
Shape Transformation Driven by Active Contour for Class-Imbalanced Semi-Supervised Medical Image Segmentation. CoRR abs/2410.14210 (2024) - 2023
- [j66]Gilles Bertrand
, Nicolas Boutry, Laurent Najman
:
Discrete Morse Functions and Watersheds. J. Math. Imaging Vis. 65(5): 787-801 (2023) - [c100]Miriam Doh, Caroline Mazini Rodrigues, Nicolas Boutry, Laurent Najman, Matei Mancas, Hugues Bersini:
Bridging Human Concepts and Computer Vision for Explainable Face Verification. BEWARE@AI*IA 2023: 15-29 - [c99]Quentin Garrido, Yubei Chen, Adrien Bardes, Laurent Najman, Yann LeCun:
On the duality between contrastive and non-contrastive self-supervised learning. ICLR 2023 - [c98]Quentin Garrido, Randall Balestriero, Laurent Najman, Yann LeCun:
RankMe: Assessing the Downstream Performance of Pretrained Self-Supervised Representations by Their Rank. ICML 2023: 10929-10974 - [c97]Quentin Garrido, Laurent Najman, Yann LeCun:
Self-supervised learning of Split Invariant Equivariant representations. ICML 2023: 10975-10996 - [c96]Sarah Almeida Carneiro, Giovanni Chierchia, Jean Charléty, Aurélie Chataignon, Laurent Najman
:
SWMLP: Shared Weight Multilayer Perceptron for Car Trajectory Speed Prediction using Road Topographical Features. MT-ITS 2023: 1-6 - [i28]Gilles Bertrand, Nicolas Boutry, Laurent Najman:
Discrete Morse Functions and Watersheds. CoRR abs/2301.03840 (2023) - [i27]Quentin Garrido, Laurent Najman, Yann LeCun:
Self-supervised learning of Split Invariant Equivariant representations. CoRR abs/2302.10283 (2023) - [i26]Caroline Mazini Rodrigues
, Nicolas Boutry, Laurent Najman
:
Unsupervised discovery of Interpretable Visual Concepts. CoRR abs/2309.00018 (2023) - [i25]Sarah Almeida Carneiro, Giovanni Chierchia, Jean Charléty, Aurélie Chataignon, Laurent Najman
:
SWMLP: Shared Weight Multilayer Perceptron for Car Trajectory Speed Prediction using Road Topographical Features. CoRR abs/2310.02282 (2023) - [i24]Mariia Zameshina, Olivier Teytaud, Laurent Najman
:
Diverse Diffusion: Enhancing Image Diversity in Text-to-Image Generation. CoRR abs/2310.12583 (2023) - [i23]Mariia Zameshina, Marlène Careil, Olivier Teytaud, Laurent Najman
:
PrivacyGAN: robust generative image privacy. CoRR abs/2310.12590 (2023) - 2022
- [j65]Quentin Garrido, Sebastian Damrich, Alexander Jäger, Dario Cerletti, Manfred Claassen, Laurent Najman, Fred A. Hamprecht:
Visualizing hierarchies in scRNA-seq data using a density tree-biased autoencoder. Bioinform. 38(Supplement_1): i316-i324 (2022) - [j64]Nicolas Boutry
, Rocío González-Díaz, Laurent Najman
, Thierry Géraud:
Continuous Well-Composedness Implies Digital Well-Composedness in n-D. J. Math. Imaging Vis. 64(2): 131-150 (2022) - [j63]Nicolas Boutry
, Laurent Najman
, Thierry Géraud:
Some Equivalence Relation between Persistent Homology and Morphological Dynamics. J. Math. Imaging Vis. 64(7): 807-824 (2022) - [j62]Jordão Bragantini
, Alexandre X. Falcão
, Laurent Najman
:
Rethinking interactive image segmentation: Feature space annotation. Pattern Recognit. 131: 108882 (2022) - [j61]Aditya Challa
, Sravan Danda
, B. S. Daya Sagar
, Laurent Najman
:
Triplet-Watershed for Hyperspectral Image Classification. IEEE Trans. Geosci. Remote. Sens. 60: 1-14 (2022) - [c95]Nicolas Boutry
, Gilles Bertrand
, Laurent Najman
:
Gradient Vector Fields of Discrete Morse Functions and Watershed-Cuts. DGMM 2022: 35-47 - [c94]Mariia Zameshina, Olivier Teytaud, Fabien Teytaud, Vlad Hosu, Nathanaël Carraz Rakotonirina, Laurent Najman
, Markus Wagner:
Fairness in generative modeling: do it unsupervised! GECCO Companion 2022: 320-323 - [i22]Nicolas Boutry, Laurent Najman
:
Gradient Vector Fields of Discrete Morse Functions are Minimum Spanning Forests. CoRR abs/2203.11512 (2022) - [i21]Zeev Gutman, Ritvik Vij, Laurent Najman
, Michael Lindenbaum:
Assessing hierarchies by their consistent segmentations. CoRR abs/2204.04969 (2022) - [i20]Nicolas Boutry, Laurent Najman
, Thierry Géraud:
Some equivalence relation between persistent homology and morphological dynamics. CoRR abs/2205.12546 (2022) - [i19]Quentin Garrido, Yubei Chen, Adrien Bardes, Laurent Najman
, Yann LeCun:
On the duality between contrastive and non-contrastive self-supervised learning. CoRR abs/2206.02574 (2022) - [i18]Thierry Géraud, Nicolas Boutry, Sébastien Crozet, Edwin Carlinet, Laurent Najman
:
A Proof of the Tree of Shapes in n-D. CoRR abs/2206.05109 (2022) - [i17]Quentin Garrido, Randall Balestriero, Laurent Najman, Yann LeCun:
RankMe: Assessing the downstream performance of pretrained self-supervised representations by their rank. CoRR abs/2210.02885 (2022) - [i16]Mariia Zameshina, Olivier Teytaud, Fabien Teytaud, Vlad Hosu, Nathanaël Carraz, Laurent Najman
, Markus Wagner:
Fairness in generative modeling. CoRR abs/2210.03517 (2022) - 2021
- [j60]Thanh Xuan Nguyen
, Giovanni Chierchia
, Oleksandra Razim
, Reynier F. Peletier
, Laurent Najman
, Hugues Talbot
, Benjamin Perret
:
Object Detection With Component-Graphs in Multi-Band Images: Application to Source Detection in Astronomical Images. IEEE Access 9: 156482-156491 (2021) - [j59]Sampriti Soor
, Aditya Challa
, Sravan Danda
, B. S. Daya Sagar
, Laurent Najman
:
Iterated Watersheds, A Connected Variation of K-Means for Clustering GIS Data. IEEE Trans. Emerg. Top. Comput. 9(2): 626-636 (2021) - [c93]Carolina Stephanie Jerônimo de Almeida
, Felipe Belém
, Sarah Almeida Carneiro
, Zenilton K. G. do Patrocínio
, Laurent Najman
, Alexandre Xavier Falcão, Silvio Jamil Ferzoli Guimarães
:
Graph-Based Supervoxel Computation from Iterative Spanning Forest. DGMM 2021: 404-415 - [c92]Nicolas Boutry, Thierry Géraud, Laurent Najman
:
An Equivalence Relation Between Morphological Dynamics and Persistent Homology in n-D. DGMM 2021: 525-537 - [i15]Jordão Bragantini, Alexandre X. Falcão, Laurent Najman
:
Rethinking Interactive Image Segmentation: Feature Space Annotation. CoRR abs/2101.04378 (2021) - [i14]Quentin Garrido, Sebastian Damrich, Alexander Jäger, Dario Cerletti, Manfred Claassen, Laurent Najman
, Fred A. Hamprecht:
Visualizing hierarchies in scRNA-seq data using a density tree-biased autoencoder. CoRR abs/2102.05892 (2021) - [i13]Aditya Challa, Sravan Danda, B. S. Daya Sagar, Laurent Najman:
Triplet-Watershed for Hyperspectral Image Classification. CoRR abs/2103.09384 (2021) - 2020
- [j58]Deise Santana Maia
, Jean Cousty, Laurent Najman
, Benjamin Perret:
Characterization of Graph-Based Hierarchical Watersheds: Theory and Algorithms. J. Math. Imaging Vis. 62(5): 627-658 (2020) - [j57]Aditya Challa
, Sravan Danda, B. S. Daya Sagar, Laurent Najman
:
Power Spectral Clustering. J. Math. Imaging Vis. 62(9): 1195-1213 (2020) - [j56]Nicolas Boutry
, Laurent Najman
, Thierry Géraud:
Topological Properties of the First Non-Local Digitally Well-Composed Interpolation on n-D Cubical Grids. J. Math. Imaging Vis. 62(9): 1256-1284 (2020) - [j55]Nicolas Boutry
, Laurent Najman
, Thierry Géraud:
Equivalence between Digital Well-Composedness and Well-Composedness in the Sense of Alexandrov on n-D Cubical Grids. J. Math. Imaging Vis. 62(9): 1285-1333 (2020) - [j54]Éloïse Grossiord, Nicolas Passat
, Hugues Talbot
, Benoît Naegel, Salim Kanoun, Ilan Tal, Pierre Tervé
, Soléakhéna Ken, Olivier Casasnovas, Michel Meignan, Laurent Najman
:
Shaping for PET image analysis. Pattern Recognit. Lett. 131: 307-313 (2020) - [c91]Thanh Xuan Nguyen, Giovanni Chierchia, Laurent Najman
, Aku Venhola, Caroline Haigh, Reynier Peletier, Michael H. F. Wilkinson
, Hugues Talbot
, Benjamin Perret:
CGO: Multiband Astronomical Source Detection With Component-Graphs. ICIP 2020: 16-20 - [c90]Nicolas Boutry, Rocío González-Díaz, Laurent Najman
, Thierry Géraud:
A 4D Counter-Example Showing that DWCness Does Not Imply CWCness in nD. IWCIA 2020: 73-87
2010 – 2019
- 2019
- [j53]Sravan Danda
, Aditya Challa
, B. S. Daya Sagar, Laurent Najman
:
Revisiting the Isoperimetric Graph Partitioning Problem. IEEE Access 7: 50636-50649 (2019) - [j52]Sravan Danda
, Aditya Challa
, B. S. Daya Sagar, Laurent Najman
:
Some Theoretical Links Between Shortest Path Filters and Minimum Spanning Tree Filters. J. Math. Imaging Vis. 61(6): 745-762 (2019) - [j51]Nicolas Boutry
, Thierry Géraud
, Laurent Najman
:
How to Make n-D Plain Maps Defined on Discrete Surfaces Alexandrov-Well-Composed in a Self-Dual Way. J. Math. Imaging Vis. 61(6): 849-873 (2019) - [j50]Éloïse Grossiord, Benoît Naegel, Hugues Talbot, Laurent Najman
, Nicolas Passat:
Shape-Based Analysis on Component-Graphs for Multivalued Image Processing. Math. Morphol. Theory Appl. 3(1): 45-70 (2019) - [j49]Silvio Jamil Ferzoli Guimarães, Yukiko Kenmochi, Jean Cousty, Zenilton Patrocínio
, Laurent Najman:
Erratum to "Hierarchizing graph-based image segmentation algorithms relying on region dissimilarity: the case of the Felzenszwalb-Huttenlocher method". Math. Morphol. Theory Appl. 3(1): 71 (2019) - [j48]Benjamin Perret
, Jean Cousty, Silvio Jamil Ferzoli Guimarães
, Yukiko Kenmochi, Laurent Najman
:
Removing non-significant regions in hierarchical clustering and segmentation. Pattern Recognit. Lett. 128: 433-439 (2019) - [j47]Deise Santana Maia
, Jean Cousty, Laurent Najman
, Benjamin Perret:
Properties of combinations of hierarchical watersheds. Pattern Recognit. Lett. 128: 513-520 (2019) - [j46]Benjamin Perret, Giovanni Chierchia, Jean Cousty, Silvio Jamil Ferzoli Guimarães, Yukiko Kenmochi, Laurent Najman
:
Higra: Hierarchical Graph Analysis. SoftwareX 10: 100335 (2019) - [j45]Aditya Challa
, Sravan Danda
, B. S. Daya Sagar
, Laurent Najman
:
Watersheds for Semi-Supervised Classification. IEEE Signal Process. Lett. 26(5): 720-724 (2019) - [j44]Clara Jaquet
, Laurent Najman
, Hugues Talbot
, Leo J. Grady, Michiel Schaap, Buzzy Spain, Hyun Jin Kim
, Irene E. Vignon-Clementel
, Charles A. Taylor:
Generation of Patient-Specific Cardiac Vascular Networks: A Hybrid Image-Based and Synthetic Geometric Model. IEEE Trans. Biomed. Eng. 66(4): 946-955 (2019) - [c89]Deise Santana Maia
, Jean Cousty, Laurent Najman
, Benjamin Perret:
Recognizing Hierarchical Watersheds. DGCI 2019: 300-313 - [c88]Nicolas Boutry, Thierry Géraud, Laurent Najman
:
An Equivalence Relation Between Morphological Dynamics and Persistent Homology in 1D. ISMM 2019: 57-68 - [c87]Deise Santana Maia
, Jean Cousty, Laurent Najman
, Benjamin Perret:
Watersheding Hierarchies. ISMM 2019: 124-136 - [c86]Deise Santana Maia
, Jean Cousty, Laurent Najman
, Benjamin Perret:
On the Probabilities of Hierarchical Watersheds. ISMM 2019: 137-149 - [c85]Isabela Borlido Barcelos, Gabriel Barbosa da Fonseca, Laurent Najman
, Yukiko Kenmochi, Benjamin Perret, Jean Cousty, Zenilton K. G. do Patrocínio
, Silvio Jamil Ferzoli Guimarães:
Exploring Hierarchy Simplification for Non-Significant Region Removal. SIBGRAPI 2019: 100-107 - 2018
- [j43]Nicolas Boutry, Thierry Géraud
, Laurent Najman
:
A Tutorial on Well-Composedness. J. Math. Imaging Vis. 60(3): 443-478 (2018) - [j42]Jean Cousty, Laurent Najman
, Yukiko Kenmochi, Silvio Jamil Ferzoli Guimarães:
Hierarchical Segmentations with Graphs: Quasi-flat Zones, Minimum Spanning Trees, and Saliency Maps. J. Math. Imaging Vis. 60(4): 479-502 (2018) - [j41]Odyssée Merveille
, Hugues Talbot
, Laurent Najman
, Nicolas Passat:
Curvilinear Structure Analysis by Ranking the Orientation Responses of Path Operators. IEEE Trans. Pattern Anal. Mach. Intell. 40(2): 304-317 (2018) - [j40]Aditya Challa
, Sravan Danda
, B. S. Daya Sagar
, Laurent Najman
:
Some Properties of Interpolations Using Mathematical Morphology. IEEE Trans. Image Process. 27(4): 2038-2048 (2018) - [c84]Sampriti Soor
, Aditya Challa
, Sravan Danda, B. S. Daya Sagar, Laurent Najman
:
Extending K-Means to Preserve Spatial Connectivity. IGARSS 2018: 6959-6962 - 2017
- [j39]Tsubasa Hirakawa
, Toru Tamaki
, Takio Kurita
, Bisser Raytchev
, Kazufumi Kaneda, Chaohui Wang, Laurent Najman
:
Tree-Wise Discriminative Subtree Selection for Texture Image Labeling. IEEE Access 5: 13617-13634 (2017) - [j38]Ketan Bacchuwar, Jean Cousty, Régis Vaillant, Laurent Najman
:
Scale-space for empty catheter segmentation in PCI fluoroscopic images. Int. J. Comput. Assist. Radiol. Surg. 12(7): 1179-1188 (2017) - [j37]Odyssée Merveille, Benoît Naegel, Hugues Talbot
, Laurent Najman
, Nicolas Passat:
2D Filtering of Curvilinear Structures by Ranking the Orientation Responses of Path Operators (RORPO). Image Process. Line 7: 246-261 (2017) - [j36]Silvio Jamil Ferzoli Guimarães, Yukiko Kenmochi, Jean Cousty, Zenilton Patrocínio
, Laurent Najman
:
Hierarchizing graph-based image segmentation algorithms relying on region dissimilarity. Math. Morphol. Theory Appl. 2(1) (2017) - [j35]Yongchao Xu, Edwin Carlinet, Thierry Géraud
, Laurent Najman
:
Hierarchical Segmentation Using Tree-Based Shape Spaces. IEEE Trans. Pattern Anal. Mach. Intell. 39(3): 457-469 (2017) - [j34]Laurent Najman
:
Extending the Power Watershed Framework Thanks to Γ-Convergence. SIAM J. Imaging Sci. 10(4): 2275-2292 (2017) - [c83]Aditya Challa, Sravan Danda, B. S. Daya Sagar, Laurent Najman
:
An Introduction to Gamma-Convergence for Spectral Clustering. DGCI 2017: 185-196 - [c82]Nicolas Boutry, Laurent Najman
, Thierry Géraud:
Well-Composedness in Alexandrov Spaces Implies Digital Well-Composedness in \mathbb Z^n. DGCI 2017: 225-237 - [c81]Franciele Rodrigues, Pedro Leal, Yukiko Kenmochi, Jean Cousty, Laurent Najman
, Silvio Jamil Ferzoli Guimarães, Zenilton Kleber Gonçalves do Patrocínio Jr.
:
Graph-Based Hierarchical Video Cosegmentation. ICIAP (1) 2017: 15-26 - [c80]Aditya Challa
, Sravan Danda, B. S. Daya Sagar, Laurent Najman
:
Power spectral clustering on hyperspectral data. IGARSS 2017: 2195-2198 - [c79]Éloïse Grossiord, Hugues Talbot
, Nicolas Passat, Michel Meignan, Laurent Najman
:
Automated 3D lymphoma lesion segmentation from PET/CT characteristics. ISBI 2017: 174-178 - [c78]Élodie Puybareau, Hugues Talbot
, Laurent Najman
:
Periodic area-of-motion characterization for bio-medical applications. ISBI 2017: 210-214 - [c77]Deise Santana Maia
, Arnaldo de Albuquerque Araújo, Jean Cousty, Laurent Najman
, Benjamin Perret, Hugues Talbot
:
Evaluation of Combinations of Watershed Hierarchies. ISMM 2017: 133-145 - [c76]Sravan Danda, Aditya Challa, B. S. Daya Sagar, Laurent Najman
:
Power Tree Filter: A Theoretical Framework Linking Shortest Path Filters and Minimum Spanning Tree Filters. ISMM 2017: 199-210 - [c75]Fabio Dias, Moussa Reda Mansour, Paola Valdivia
, Jean Cousty, Laurent Najman
:
Watersheds on Hypergraphs for Data Clustering. ISMM 2017: 211-221 - [c74]Ketan Bacchuwar, Jean Cousty, Régis Vaillant, Laurent Najman
:
VOIDD: Automatic Vessel-of-Intervention Dynamic Detection in PCI Procedures. CVII-STENT/LABELS@MICCAI 2017: 47-56 - [i12]Ketan Bacchuwar, Jean Cousty, Régis Vaillant, Laurent Najman
:
VOIDD: automatic vessel of intervention dynamic detection in PCI procedures. CoRR abs/1710.04476 (2017) - 2016
- [j33]Yongchao Xu, Thierry Géraud
, Laurent Najman
:
Connected Filtering on Tree-Based Shape-Spaces. IEEE Trans. Pattern Anal. Mach. Intell. 38(6): 1126-1140 (2016) - [j32]Yongchao Xu
, Thierry Géraud
, Laurent Najman
:
Hierarchical image simplification and segmentation based on Mumford-Shah-salient level line selection. Pattern Recognit. Lett. 83: 278-286 (2016) - [c73]Tsubasa Hirakawa, Toru Tamaki
, Takio Kurita
, Bisser Raytchev
, Kazufumi Kaneda, Chaohui Wang, Laurent Najman
, Tetsushi Koide, Shigeto Yoshida, Hiroshi Mieno, Shinji Tanaka:
Discriminative Subtree Selection for NBI Endoscopic Image Labeling. ACCV Workshops (2) 2016: 610-624 - [c72]Élodie Puybareau, Hugues Talbot
, Emilie Bequignon, Bruno Louis
, Gabriel Pelle, Jean-François Papon, André Coste, Laurent Najman
:
Automating the measurement of physiological parameters: A case study in the image analysis of cilia motion. ICIP 2016: 1240-1244 - [c71]Nicolas Passat, Stéphanie Salmon, Jean-Paul Armspach, Benoît Naegel, Christophe Prud'homme
, Hugues Talbot
, Alexandre Fortin, Simon Garnotel, Odyssée Merveille
, Olivia Miraucourt, Ranine Tarabay, Vincent Chabannes, Alice Dufour, Anna Jezierska, Olivier Balédent, Emmanuel Durand, Laurent Najman
, Marcela Szopos
, Alexandre Ancel, Joseph Baruthio, Maya Delbany, Sidy Fall, Gwenaël Pagé, Olivier Génevaux, Mourad Ismail, P. Loureiro de Sousa, Marc Thiriet, Julien Jomier:
From Real MRA to Virtual MRA: Towards an Open-Source Framework. MICCAI (3) 2016: 335-343 - [c70]Kleber Jacques Ferreira de Souza, Arnaldo de Albuquerque Araújo, Zenilton Kleber G. do Patrocínio Jr.
, Jean Cousty, Laurent Najman
, Yukiko Kenmochi, Silvio Jamil Ferzoli Guimarães:
Decreasing the Number of Features for Improving Human Action Classification. SIBGRAPI 2016: 195-200 - [c69]Carlos Alberto F. Pimentel Filho, Arnaldo de Albuquerque Araújo, Jean Cousty, Silvio Jamil Ferzoli Guimarães, Laurent Najman
:
Stochastic Hierarchical Watershed Cut Based on Disturbed Topographical Surface. SIBGRAPI 2016: 265-272 - [i11]Yongchao Xu, Thierry Géraud, Laurent Najman
:
Hierarchical image simplification and segmentation based on Mumford-Shah-salient level line selection. CoRR abs/1603.04838 (2016) - 2015
- [c68]David Menotti, Laurent Najman
, Arnaldo de Albuquerque Araújo:
Efficient Polynomial Implementation of Several Multithresholding Methods for Gray-Level Image Segmentation. CIARP 2015: 350-357 - [c67]Silvio Jamil Ferzoli Guimarães, Zenilton Kleber G. do Patrocínio Jr.
, Yukiko Kenmochi, Jean Cousty, Laurent Najman
:
Hierarchical Image Segmentation Relying on a Likelihood Ratio Test. ICIAP (2) 2015: 25-35 - [c66]Nicolas Boutry, Thierry Géraud
, Laurent Najman
:
How to make nD images well-composed without interpolation. ICIP 2015: 2149-2153 - [c65]Francisco Javier Alvarez Padilla
, Éloïse Grossiord, Barbara Romaniuk, Benoît Naegel, Camille Kurtz
, Hugues Talbot
, Laurent Najman
, Romain Guillemot, Dimitri Papathanassiou, Nicolas Passat:
Multicriteria 3D PET image segmentation. IPTA 2015: 346-351 - [c64]Élodie Puybareau, Hugues Talbot
, Gabriel Pelle, Bruno Louis
, Jean-François Papon, André Coste, Laurent Najman
:
A regionalized automated measurement of ciliary beating frequency. ISBI 2015: 528-531 - [c63]Éloïse Grossiord, Hugues Talbot
, Nicolas Passat, Michel Meignan, Pierre Tervé
, Laurent Najman
:
Hierarchies and shape-space for pet image segmentation. ISBI 2015: 1118-1121 - [c62]Laurent Mennillo
, Jean Cousty, Laurent Najman
:
A Comparison of Some Morphological Filters for Improving OCR Performance. ISMM 2015: 134-145