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2020 – today
- 2024
[j48]Antoine Théberge
, Christian Desrosiers, Arnaud Boré, Maxime Descoteaux, Pierre-Marc Jodoin:
What matters in reinforcement learning for tractography. Medical Image Anal. 93: 103085 (2024)- [c51]Arnaud Judge, Thierry Judge, Nicolas Duchateau, Roman A. Sandler, Joseph Z. Sokol, Olivier Bernard, Pierre-Marc Jodoin:
Domain Adaptation of Echocardiography Segmentation Via Reinforcement Learning. MICCAI (9) 2024: 235-244 - [c50]Antoine Théberge, Maxime Descoteaux, Pierre-Marc Jodoin:
TractOracle: Towards an Anatomically-Informed Reward Function for RL-Based Tractography. MICCAI (2) 2024: 476-486 - [i33]Nathan Painchaud, Pierre-Yves Courand, Pierre-Marc Jodoin, Nicolas Duchateau, Olivier Bernard:
Fusing Echocardiography Images and Medical Records for Continuous Patient Stratification. CoRR abs/2401.07796 (2024) - [i32]Antoine Théberge, Maxime Descoteaux, Pierre-Marc Jodoin:
TractOracle: towards an anatomically-informed reward function for RL-based tractography. CoRR abs/2403.17845 (2024) - [i31]Arnaud Judge, Thierry Judge, Nicolas Duchateau, Roman A. Sandler, Joseph Z. Sokol, Olivier Bernard, Pierre-Marc Jodoin:
Domain Adaptation of Echocardiography Segmentation Via Reinforcement Learning. CoRR abs/2406.17902 (2024) - 2023
- [j47]Youssef Skandarani, Pierre-Marc Jodoin, Alain Lalande:
GANs for Medical Image Synthesis: An Empirical Study. J. Imaging 9(3): 69 (2023) - [j46]Jon Haitz Legarreta, Laurent Petit, Pierre-Marc Jodoin, Maxime Descoteaux:
Generative Sampling in Bundle Tractography using Autoencoders (GESTA). Medical Image Anal. 85: 102761 (2023) - [j45]Félix Dumais, Jon Haitz Legarreta, Carl Lemaire, Philippe Poulin, François Rheault, Laurent Petit, Muhamed Barakovic, Stefano Magon, Maxime Descoteaux, Pierre-Marc Jodoin:
FIESTA: Autoencoders for accurate fiber segmentation in tractography. NeuroImage 279: 120288 (2023) - [c49]Hang Jung Ling, Nathan Painchaud, Pierre-Yves Courand, Pierre-Marc Jodoin, Damien Garcia, Olivier Bernard:
Extraction of Volumetric Indices from Echocardiography: Which Deep Learning Solution for Clinical Use? FIMH 2023: 245-254 - [c48]Bach Ngoc Kim, Jose Dolz, Pierre-Marc Jodoin, Christian Desrosiers:
Mixup-Privacy: A Simple yet Effective Approach for Privacy-Preserving Segmentation. IPMI 2023: 717-729 - [c47]Thierry Judge, Olivier Bernard, Woo-Jin Cho Kim, Alberto Gómez, Agisilaos Chartsias, Pierre-Marc Jodoin:
Asymmetric Contour Uncertainty Estimation for Medical Image Segmentation. MICCAI (3) 2023: 210-220 - [p2]Pierre-Marc Jodoin, Nicolas Duchateau, Christian Desrosiers:
From Machine Learning to Deep Learning. AI and Big Data in Cardiology 2023: 35-56 - [i30]Hang Jung Ling, Nathan Painchaud, Pierre-Yves Courand, Pierre-Marc Jodoin, Damien Garcia, Olivier Bernard:
Extraction of volumetric indices from echocardiography: which deep learning solution for clinical use? CoRR abs/2305.01997 (2023) - [i29]Antoine Théberge, Christian Desrosiers, Maxime Descoteaux, Pierre-Marc Jodoin:
What Matters in Reinforcement Learning for Tractography. CoRR abs/2305.09041 (2023) - [i28]Bach Ngoc Kim, José Dolz, Pierre-Marc Jodoin, Christian Desrosiers:
Mixup-Privacy: A simple yet effective approach for privacy-preserving segmentation. CoRR abs/2305.13756 (2023) - [i27]Daniel Jörgens, Pierre-Marc Jodoin, Maxime Descoteaux, Rodrigo Moreno:
Merging multiple input descriptors and supervisors in a deep neural network for tractogram filtering. CoRR abs/2307.05786 (2023) - 2022
- [j44]Audrey Duran, Gaspard Dussert, Olivier Rouvière, Tristan Jaouen, Pierre-Marc Jodoin, Carole Lartizien:
ProstAttention-Net: A deep attention model for prostate cancer segmentation by aggressiveness in MRI scans. Medical Image Anal. 77: 102347 (2022) - [j43]Nathan Painchaud, Nicolas Duchateau, Olivier Bernard, Pierre-Marc Jodoin:
Echocardiography Segmentation With Enforced Temporal Consistency. IEEE Trans. Medical Imaging 41(10): 2867-2878 (2022) - [c46]Jon Haitz Legarreta, Laurent Petit, Pierre-Marc Jodoin, Maxime Descoteaux:
Clustering in Tractography Using Autoencoders (CINTA). CDMRI@MICCAI 2022: 125-136 - [c45]Thierry Judge, Olivier Bernard, Mihaela Porumb, Agisilaos Chartsias, Arian Beqiri, Pierre-Marc Jodoin:
CRISP - Reliable Uncertainty Estimation for Medical Image Segmentation. MICCAI (8) 2022: 492-502 - [i26]Jon Haitz Legarreta, Laurent Petit, Pierre-Marc Jodoin, Maxime Descoteaux:
Generative sampling in tractography using autoencoders (GESTA). CoRR abs/2204.10891 (2022) - [i25]Thierry Judge, Olivier Bernard, Mihaela Porumb, Agis Chartsias, Arian Beqiri, Pierre-Marc Jodoin:
CRISP - Reliable Uncertainty Estimation for Medical Image Segmentation. CoRR abs/2206.07664 (2022) - [i24]Audrey Duran, Gaspard Dussert, Olivier Rouvière, Tristan Jaouen, Pierre-Marc Jodoin, Carole Lartizien:
ProstAttention-Net: A deep attention model for prostate cancer segmentation by aggressiveness in MRI scans. CoRR abs/2211.13238 (2022) - [i23]Félix Dumais, Jon Haitz Legarreta, Carl Lemaire, Philippe Poulin, François Rheault, Laurent Petit, Maxime Descoteaux, Pierre-Marc Jodoin:
FIESTA: Autoencoders for accurate fiber segmentation in tractography. CoRR abs/2212.00143 (2022) - 2021
- [j42]Youssef Skandarani, Pierre-Marc Jodoin, Alain Lalande:
Deep Learning Based Cardiac MRI Segmentation: Do We Need Experts? Algorithms 14(7): 212 (2021) - [j41]Antoine Théberge, Christian Desrosiers, Maxime Descoteaux, Pierre-Marc Jodoin:
Track-to-Learn: A general framework for tractography with deep reinforcement learning. Medical Image Anal. 72: 102093 (2021) - [j40]Jon Haitz Legarreta, Laurent Petit, François Rheault, Guillaume Theaud, Carl Lemaire, Maxime Descoteaux, Pierre-Marc Jodoin:
Filtering in tractography using autoencoders (FINTA). Medical Image Anal. 72: 102126 (2021) - [j39]Bach Ngoc Kim, Jose Dolz, Pierre-Marc Jodoin, Christian Desrosiers:
Privacy-Net: An Adversarial Approach for Identity-Obfuscated Segmentation of Medical Images. IEEE Trans. Medical Imaging 40(7): 1737-1749 (2021) - [c44]Bach Ngoc Kim, Jose Dolz, Christian Desrosiers, Pierre-Marc Jodoin:
Privacy Preserving for Medical Image Analysis via Non-Linear Deformation Proxy. BMVC 2021: 375 - [i22]Youssef Skandarani, Pierre-Marc Jodoin, Alain Lalande:
GANs for Medical Image Synthesis: An Empirical Study. CoRR abs/2105.05318 (2021) - [i21]Youssef Skandarani, Pierre-Marc Jodoin, Alain Lalande:
Deep Learning Based Cardiac MRI Segmentation: Do We Need Experts? CoRR abs/2107.11447 (2021) - [i20]Benoit Anctil-Robitaille, Antoine Théberge, Pierre-Marc Jodoin, Maxime Descoteaux, Christian Desrosiers, Hervé Lombaert:
Manifold-aware Synthesis of High-resolution Diffusion from Structural Imaging. CoRR abs/2108.04135 (2021) - [i19]Nathan Painchaud, Nicolas Duchateau, Olivier Bernard, Pierre-Marc Jodoin:
Echocardiography Segmentation with Enforced Temporal Consistency. CoRR abs/2112.02102 (2021) - 2020
- [j38]Nathan Painchaud, Youssef Skandarani, Thierry Judge, Olivier Bernard, Alain Lalande, Pierre-Marc Jodoin:
Cardiac Segmentation With Strong Anatomical Guarantees. IEEE Trans. Medical Imaging 39(11): 3703-3713 (2020) - [c43]Audrey Duran, Pierre-Marc Jodoin, Carole Lartizien:
Prostate Cancer Semantic Segmentation by Gleason Score Group in bi-parametric MRI with Self Attention Model on the Peripheral Zone. MIDL 2020: 193-204 - [c42]Achraf Essemlali, Etienne St-Onge, Maxime Descoteaux, Pierre-Marc Jodoin:
Understanding Alzheimer disease's structural connectivity through explainable AI. MIDL 2020: 217-229 - [i18]Sarah Leclerc, Erik Smistad, Andreas Østvik, Frederic Cervenansky, Florian Espinosa, Torvald Espeland, Erik Andreas Rye Berg, Thomas Grenier, Carole Lartizien, Pierre-Marc Jodoin, Lasse Løvstakken, Olivier Bernard:
LU-Net: a multi-task network to improve the robustness of segmentation of left ventriclular structures by deep learning in 2D echocardiography. CoRR abs/2004.02043 (2020) - [i17]Youssef Skandarani, Nathan Painchaud, Pierre-Marc Jodoin, Alain Lalande:
On the effectiveness of GAN generated cardiac MRIs for segmentation. CoRR abs/2005.09026 (2020) - [i16]Nathan Painchaud, Youssef Skandarani, Thierry Judge, Olivier Bernard, Alain Lalande, Pierre-Marc Jodoin:
Cardiac Segmentation with Strong Anatomical Guarantees. CoRR abs/2006.08825 (2020) - [i15]Marco Antonio Armenta, Pierre-Marc Jodoin:
The Representation Theory of Neural Networks. CoRR abs/2007.12213 (2020) - [i14]Jon Haitz Legarreta, Laurent Petit, François Rheault, Guillaume Theaud, Carl Lemaire, Maxime Descoteaux, Pierre-Marc Jodoin:
Tractography filtering using autoencoders. CoRR abs/2010.04007 (2020) - [i13]Bach Ngoc Kim, Jose Dolz, Christian Desrosiers, Pierre-Marc Jodoin:
Privacy Preserving for Medical Image Analysis via Non-Linear Deformation Proxy. CoRR abs/2011.12835 (2020) - [i12]Marco Antonio Armenta, Thierry Judge, Nathan Painchaud, Youssef Skandarani, Carl Lemaire, Gabriel Gibeau Sanchez, Philippe Spino, Pierre-Marc Jodoin:
Neural Teleportation. CoRR abs/2012.01118 (2020)
2010 – 2019
- 2019
- [j37]Clément Zotti, Zhiming Luo, Alain Lalande, Pierre-Marc Jodoin:
Convolutional Neural Network With Shape Prior Applied to Cardiac MRI Segmentation. IEEE J. Biomed. Health Informatics 23(3): 1119-1128 (2019) - [j36]Sarah Leclerc, Erik Smistad, João Pedrosa, Andreas Østvik, Frederic Cervenansky, Florian Espinosa, Torvald Espeland, Erik Andreas Rye Berg, Pierre-Marc Jodoin, Thomas Grenier, Carole Lartizien, Jan D'hooge, Lasse Løvstakken, Olivier Bernard:
Deep Learning for Segmentation Using an Open Large-Scale Dataset in 2D Echocardiography. IEEE Trans. Medical Imaging 38(9): 2198-2210 (2019) - [c41]Frederic Branchaud-Charron, Andrew Achkar, Pierre-Marc Jodoin:
Spectral Metric for Dataset Complexity Assessment. CVPR 2019: 3215-3224 - [c40]Carl Lemaire, Andrew Achkar, Pierre-Marc Jodoin:
Structured Pruning of Neural Networks With Budget-Aware Regularization. CVPR 2019: 9108-9116 - [c39]Nathan Painchaud, Youssef Skandarani, Thierry Judge, Olivier Bernard, Alain Lalande, Pierre-Marc Jodoin:
Cardiac MRI Segmentation with Strong Anatomical Guarantees. MICCAI (2) 2019: 632-640 - [i11]Philippe Poulin, Daniel Jörgens, Pierre-Marc Jodoin, Maxime Descoteaux:
Tractography and machine learning: Current state and open challenges. CoRR abs/1902.05568 (2019) - [i10]Frederic Branchaud-Charron, Andrew Achkar, Pierre-Marc Jodoin:
Spectral Metric for Dataset Complexity Assessment. CoRR abs/1905.07299 (2019) - [i9]Nathan Painchaud, Youssef Skandarani, Thierry Judge, Olivier Bernard, Alain Lalande, Pierre-Marc Jodoin:
Cardiac MRI Segmentation with Strong Anatomical Guarantees. CoRR abs/1907.02865 (2019) - [i8]Bach Ngoc Kim, Christian Desrosiers, Jose Dolz, Pierre-Marc Jodoin:
Privacy-Net: An Adversarial Approach For Identity-obfuscated Segmentation. CoRR abs/1909.04087 (2019) - 2018
- [j35]Zhiming Luo, Pierre-Marc Jodoin, Song-Zhi Su, Shao-Zi Li, Hugo Larochelle:
Traffic Analytics With Low-Frame-Rate Videos. IEEE Trans. Circuits Syst. Video Technol. 28(4): 878-891 (2018) - [j34]Zhiming Luo, Frederic Branchaud-Charron, Carl Lemaire, Janusz Konrad, Shaozi Li, Akshaya Mishra, Andrew Achkar, Justin A. Eichel, Pierre-Marc Jodoin:
MIO-TCD: A New Benchmark Dataset for Vehicle Classification and Localization. IEEE Trans. Image Process. 27(10): 5129-5141 (2018) - [j33]Olivier Bernard, Alain Lalande, Clément Zotti, Frederic Cervenansky, Xin Yang, Pheng-Ann Heng, Irem Cetin, Karim Lekadir, Oscar Camara, Miguel Ángel González Ballester, Gerard Sanroma, Sandy Napel, Steffen E. Petersen, Georgios Tziritas, Elias Grinias, Mahendra Khened, Alex Varghese, Ganapathy Krishnamurthi, Marc-Michel Rohé, Xavier Pennec, Maxime Sermesant, Fabian Isensee, Paul Jäger, Klaus H. Maier-Hein, Peter M. Full, Ivo Wolf, Sandy Engelhardt, Christian F. Baumgartner, Lisa M. Koch, Jelmer M. Wolterink, Ivana Isgum, Yeonggul Jang, Yoonmi Hong, Jay Patravali, Shubham Jain, Olivier Humbert, Pierre-Marc Jodoin:
Deep Learning Techniques for Automatic MRI Cardiac Multi-Structures Segmentation and Diagnosis: Is the Problem Solved? IEEE Trans. Medical Imaging 37(11): 2514-2525 (2018) - [e1]Mihaela Pop, Maxime Sermesant, Pierre-Marc Jodoin, Alain Lalande, Xiahai Zhuang, Guang Yang, Alistair A. Young, Olivier Bernard:
Statistical Atlases and Computational Models of the Heart. ACDC and MMWHS Challenges - 8th International Workshop, STACOM 2017, Held in Conjunction with MICCAI 2017, Quebec City, Canada, September 10-14, 2017, Revised Selected Papers. Lecture Notes in Computer Science 10663, Springer 2018, ISBN 978-3-319-75540-3 [contents] - [i7]Carl Lemaire, Andrew Achkar, Pierre-Marc Jodoin:
Structured Pruning of Neural Networks with Budget-Aware Regularization. CoRR abs/1811.09332 (2018) - 2017
- [j32]Michaël Bernier, Pierre-Marc Jodoin, Olivier Humbert, Alain Lalande:
Graph cut-based method for segmenting the left ventricle from MRI or echocardiographic images. Comput. Medical Imaging Graph. 58: 1-12 (2017) - [j31]Mohammad Havaei, Axel Davy, David Warde-Farley, Antoine Biard, Aaron C. Courville, Yoshua Bengio, Chris Pal, Pierre-Marc Jodoin, Hugo Larochelle:
Brain tumor segmentation with Deep Neural Networks. Medical Image Anal. 35: 18-31 (2017) - [j30]Oskar Maier, Bjoern H. Menze, Janina von der Gablentz, Levin Häni, Mattias P. Heinrich, Matthias Liebrand, Stefan Winzeck, Abdul Basit, Paul Bentley, Liang Chen, Daan Christiaens, Francis Dutil, Karl Egger, Chaolu Feng, Ben Glocker, Michael Götz, Tom Haeck, Hanna-Leena Halme, Mohammad Havaei, Khan M. Iftekharuddin, Pierre-Marc Jodoin, et al.:
ISLES 2015 - A public evaluation benchmark for ischemic stroke lesion segmentation from multispectral MRI. Medical Image Anal. 35: 250-269 (2017) - [j29]Yi Wang, Zhiming Luo, Pierre-Marc Jodoin:
Interactive deep learning method for segmenting moving objects. Pattern Recognit. Lett. 96: 66-75 (2017) - [j28]Yi Wang, Sébastien Piérard, Song-Zhi Su, Pierre-Marc Jodoin:
Improving pedestrian detection using motion-guided filtering. Pattern Recognit. Lett. 96: 106-112 (2017) - [j27]Pierre-Marc Jodoin, Lucia Maddalena, Alfredo Petrosino, Yi Wang:
Extensive Benchmark and Survey of Modeling Methods for Scene Background Initialization. IEEE Trans. Image Process. 26(11): 5244-5256 (2017) - [c38]Zhiming Luo, Akshaya Kumar Mishra, Andrew Achkar, Justin A. Eichel, Shaozi Li, Pierre-Marc Jodoin:
Non-local Deep Features for Salient Object Detection. CVPR 2017: 6593-6601 - [c37]Clément Zotti, Zhiming Luo, Olivier Humbert, Alain Lalande, Pierre-Marc Jodoin:
GridNet with Automatic Shape Prior Registration for Automatic MRI Cardiac Segmentation. STACOM@MICCAI 2017: 73-81 - [i6]Clément Zotti, Zhiming Luo, Alain Lalande, Olivier Humbert, Pierre-Marc Jodoin:
Novel Deep Convolution Neural Network Applied to MRI Cardiac Segmentation. CoRR abs/1705.08943 (2017) - 2016
- [j26]Mohammad Havaei, Hugo Larochelle, Philippe Poulin, Pierre-Marc Jodoin:
Within-brain classification for brain tumor segmentation. Int. J. Comput. Assist. Radiol. Surg. 11(5): 777-788 (2016) - [j25]Li-Chuan Geng, Pierre-Marc Jodoin, Song-Zhi Su, Shao-Zi Li:
CBDF: Compressed Binary Discriminative Feature. Neurocomputing 184: 43-54 (2016) - [j24]Greg Castañón, Mohamed A. Elgharib, Venkatesh Saligrama, Pierre-Marc Jodoin:
Retrieval in Long-Surveillance Videos Using User-Described Motion and Object Attributes. IEEE Trans. Circuits Syst. Video Technol. 26(12): 2313-2327 (2016) - [j23]Olivier Bernard, Johan G. Bosch, Brecht Heyde, Martino Alessandrini, Daniel Barbosa, Sorina Camarasu-Pop, Frederic Cervenansky, Sébastien Valette, Oana Mirea, Michel Bernier, Pierre-Marc Jodoin, Jaime Santo Domingos, Richard V. Stebbing, Kevin Keraudren, Ozan Oktay, Jose Caballero, Wei Shi, Daniel Rueckert, Fausto Milletari, Seyed-Ahmad Ahmadi, Erik Smistad, Frank Lindseth, Maartje van Stralen, Chen Wang, Örjan Smedby, Erwan Donal, Mark Monaghan, Alex Papachristidis, Marcel L. Geleijnse, Elena Galli, Jan D'hooge:
Standardized Evaluation System for Left Ventricular Segmentation Algorithms in 3D Echocardiography. IEEE Trans. Medical Imaging 35(4): 967-977 (2016) - [p1]Mohammad Havaei, Nicolas Guizard, Hugo Larochelle, Pierre-Marc Jodoin:
Deep Learning Trends for Focal Brain Pathology Segmentation in MRI. Machine Learning for Health Informatics 2016: 125-148 - [i5]Mohammad Havaei, Nicolas Guizard, Hugo Larochelle, Pierre-Marc Jodoin:
Deep learning trends for focal brain pathology segmentation in MRI. CoRR abs/1607.05258 (2016) - 2015
- [j22]Caroline Presseau, Pierre-Marc Jodoin, Jean-Christophe Houde, Maxime Descoteaux:
A new compression format for fiber tracking datasets. NeuroImage 109: 73-83 (2015) - [j21]Djamel Bouchaffra, Mohamed Cheriet, Pierre-Marc Jodoin, Diane M. Beck:
Machine learning and pattern recognition models in change detection. Pattern Recognit. 48(3): 613-615 (2015) - [j20]Jonathan Boisvert, Marc-Antoine Drouin, Pierre-Marc Jodoin:
High-speed transition patterns for video projection, 3D reconstruction, and copyright protection. Pattern Recognit. 48(3): 720-731 (2015) - [j19]Yue Gao, Rongrong Ji, Xinbo Gao, Pierre-Marc Jodoin:
Signal processing and learning methods for 3D semantic analysis. Signal Process. 112: 1-3 (2015) - [j18]Dongxiao Zhang, Pierre-Marc Jodoin, Cuihua Li, Yun-Dong Wu, Guo-Rong Cai:
Novel Graph Cuts Method for Multi-Frame Super-Resolution. IEEE Signal Process. Lett. 22(12): 2279-2283 (2015) - [j17]Pierre-Marc Jodoin, Fredy Pinheiro, Alexandra Oudot, Alain Lalande:
Left-Ventricle Segmentation of SPECT Images of Rats. IEEE Trans. Biomed. Eng. 62(9): 2260-2268 (2015) - [c36]Yi Wang, Sébastien Piérard, Song-Zhi Su, Pierre-Marc Jodoin:
Nonlinear Background Filter to Improve Pedestrian Detection. ICIAP Workshops 2015: 535-543 - [c35]Zhiming Luo, Pierre-Marc Jodoin, Shao-Zi Li, Song-Zhi Su:
Traffic analysis without motion features. ICIP 2015: 3290-3294 - [c34]Mohammad Havaei, Francis Dutil, Chris Pal, Hugo Larochelle, Pierre-Marc Jodoin:
A Convolutional Neural Network Approach to Brain Tumor Segmentation. Brainles@MICCAI 2015: 195-208 - [i4]Mohammad Havaei, Axel Davy, David Warde-Farley, Antoine Biard, Aaron C. Courville, Yoshua Bengio, Chris Pal, Pierre-Marc Jodoin, Hugo Larochelle:
Brain Tumor Segmentation with Deep Neural Networks. CoRR abs/1505.03540 (2015) - [i3]Mohammad Havaei, Hugo Larochelle, Philippe Poulin, Pierre-Marc Jodoin:
Within-Brain Classification for Brain Tumor Segmentation. CoRR abs/1510.01344 (2015) - 2014
- [j16]Nil Goyette, Pierre-Marc Jodoin, Fatih Murat Porikli, Janusz Konrad, Prakash Ishwar:
A Novel Video Dataset for Change Detection Benchmarking. IEEE Trans. Image Process. 23(11): 4663-4679 (2014) - [c33]Yi Wang, Pierre-Marc Jodoin, Fatih Murat Porikli, Janusz Konrad, Yannick Benezeth, Prakash Ishwar:
CDnet 2014: An Expanded Change Detection Benchmark Dataset. CVPR Workshops 2014: 393-400 - [c32]Daoxun Xia, Songzhi Su, Shaozi Li, Pierre-Marc Jodoin:
Lying-pose detection with training dataset expansion. ICIP 2014: 3377-3381 - [c31]Mohammad Havaei, Pierre-Marc Jodoin, Hugo Larochelle:
Efficient Interactive Brain Tumor Segmentation as Within-Brain kNN Classification. ICPR 2014: 556-561 - [i2]Greg Castañón, Mohamed A. Elgharib, Venkatesh Saligrama, Pierre-Marc Jodoin:
Retrieval in Long Surveillance Videos using User Described Motion and Object Attributes. CoRR abs/1405.0234 (2014) - 2013
- [j15]Guo-Rong Cai, Pierre-Marc Jodoin, Shao-Zi Li, Yun-Dong Wu, Song-Zhi Su, Zhenkun Huang:
Perspective-SIFT: An efficient tool for low-altitude remote sensing image registration. Signal Process. 93(11): 3088-3110 (2013) - [c30]Pierre-Marc Jodoin, Yannick Benezeth, Yi Wang:
Meta-tracking for video scene understanding. AVSS 2013: 1-6 - 2012
- [j14]Anthony Adam Duquette, Pierre-Marc Jodoin, Olivier Bouchot, Alain Lalande:
3D segmentation of abdominal aorta from CT-scan and MR images. Comput. Medical Imaging Graph. 36(4): 294-303 (2012) - [j13]Marc-Antoine Drouin, Pierre-Marc Jodoin, Julien Prémont:
Camera-projector matching using unstructured video. Mach. Vis. Appl. 23(5): 887-902 (2012) - [j12]Pierre-Marc Jodoin, Venkatesh Saligrama, Janusz Konrad:
Behavior Subtraction. IEEE Trans. Image Process. 21(9): 4244-4255 (2012) - [c29]Greg Castañón, Venkatesh Saligrama, André-Louis Caron, Pierre-Marc Jodoin:
Real-Time Activity Search of Surveillance Video. AVSS 2012: 246-251 - [c28]Nil Goyette, Pierre-Marc Jodoin, Fatih Porikli, Janusz Konrad, Prakash Ishwar:
Changedetection.net: A new change detection benchmark dataset. CVPR Workshops 2012: 1-8 - [c27]Jean-Christophe Houde, Pierre-Marc Jodoin, François Deschênes:
Stereoscopic reconfiguration for 3D displays. SD&A 2012: 82882M - [c26]Gregory D. Castañón, André-Louis Caron, Venkatesh Saligrama, Pierre-Marc Jodoin:
Exploratory search of long surveillance videos. ACM Multimedia 2012: 309-318 - 2011
- [j11]Yannick Benezeth, Pierre-Marc Jodoin, Venkatesh Saligrama:
Abnormality detection using low-level co-occurring events. Pattern Recognit. Lett. 32(3): 423-431 (2011) - [j10]André-Louis Caron, Pierre-Marc Jodoin:
Image Multidistortion Estimation. IEEE Trans. Image Process. 20(12): 3442-3454 (2011) - 2010
- [j9]Yannick Benezeth, Pierre-Marc Jodoin, Bruno Emile, Hélène Laurent, Christophe Rosenberger:
Comparative study of background subtraction algorithms. J. Electronic Imaging 19(3): 033003 (2010) - [j8]Venkatesh Saligrama, Janusz Konrad, Pierre-Marc Jodoin:
Video Anomaly Identification. IEEE Signal Process. Mag. 27(5): 18-33 (2010) - [j7]Erhan Baki Ermis, Pierre Clarot, Pierre-Marc Jodoin, Venkatesh Saligrama:
Activity Based Matching in Distributed Camera Networks. IEEE Trans. Image Process. 19(10): 2595-2613 (2010) - [c25]Marc-Antoine Drouin, Pierre-Marc Jodoin, Julien Prémont:
Camera-projector matching using an unstructured video stream. CVPR Workshops 2010: 33-40 - [c24]Yannick Benezeth, Pierre-Marc Jodoin, Bruno Emile, Hélène Laurent, Christophe Rosenberger:
Human Detection with a Multi-sensors Stereovision System. ICISP 2010: 228-235 - [c23]André-Louis Caron, Pierre-Marc Jodoin, Christophe Charrier:
Search Strategies for Image Multi-distortion Estimation. ICPR 2010: 2824-2827
2000 – 2009
- 2009
- [j6]Pierre-Marc Jodoin, Max Mignotte:
Optical-flow based on an edge-avoidance procedure. Comput. Vis. Image Underst. 113(4): 511-531 (2009) - [j5]J. Mike McHugh, Janusz Konrad, Venkatesh Saligrama, Pierre-Marc Jodoin:
Foreground-Adaptive Background Subtraction. IEEE Signal Process. Lett. 16(5): 390-393 (2009) - [c22]Yannick Benezeth, Pierre-Marc Jodoin, Venkatesh Saligrama, Christophe Rosenberger:
Abnormal events detection based on spatio-temporal co-occurences. CVPR 2009: 2458-2465 - [c21]Pierre Clarot, Erhan Baki Ermis, Pierre-Marc Jodoin, Venkatesh Saligrama:
Unsupervised camera network structure estimation based on activity. ICDSC 2009: 1-8 - [c20]