Pierre-Henri Conze

ORCID

Publication Activity (10 Years)

Years Active: 2012-2024
Publications (10 Years): 79

Top Venues

INSA de Rennes, France (PHD)

Education History

INSA de Rennes, France

PHD

Publications

Yihao Li, Philippe Zhang, Yubo Tan, Jing Zhang, Zhihan Wang, Weili Jiang, Pierre-Henri Conze, Mathieu Lamard, Gwenolé Quellec, Mostafa El Habib Daho
Automated Detection of Myopic Maculopathy in MMAC 2023: Achievements in Classification, Segmentation, and Spherical Equivalent Prediction. CoRR (2024)
Mostafa El Habib Daho, Yihao Li, Rachid Zeghlache, Hugo Le Boité, Pierre Deman, Laurent Borderie, Hugang Ren, Niranchana Mannivannan, Capucine Lepicard, Béatrice Cochener, Aude Couturier, Ramin Tadayoni, Pierre-Henri Conze, Mathieu Lamard, Gwenolé Quellec
DISCOVER: 2-D Multiview Summarization of Optical Coherence Tomography Angiography for Automatic Diabetic Retinopathy Diagnosis. CoRR (2024)
Rachid Zeghlache, Pierre-Henri Conze, Mostafa El Habib Daho, Yihao Li, Hugo Le Boité, Ramin Tadayoni, Pascale Massin, Béatrice Cochener, Ikram Brahim, Gwenolé Quellec, Mathieu Lamard
Longitudinal Self-supervised Learning Using Neural Ordinary Differential Equation. PRIME@MICCAI (2023)
Rachid Zeghlache, Pierre-Henri Conze, Mostafa El Habib Daho, Yihao Li, Hugo Le Boité, Ramin Tadayoni, Pascale Massin, Béatrice Cochener, Ikram Brahim, Gwenolé Quellec, Mathieu Lamard
LMT: Longitudinal Mixing Training, a Framework to Predict Disease Progression from a Single Image. CoRR (2023)
Rachid Zeghlache, Pierre-Henri Conze, Mostafa El Habib Daho, Yihao Li, Hugo Le Boité, Ramin Tadayoni, Pascale Massin, Béatrice Cochener, Ikram Brahim, Gwenolé Quellec, Mathieu Lamard
Longitudinal Self-supervised Learning Using Neural Ordinary Differential Equation. CoRR (2023)
Hicham Messaoudi, Ahror Belaid, Douraied Ben Salem, Pierre-Henri Conze
Cross-dimensional transfer learning in medical image segmentation with deep learning. Medical Image Anal. 88 (2023)
Gustavo Andrade-Miranda, Vincent Jaouen, Olena Tankyevych, Catherine Cheze Le Rest, Dimitris Visvikis, Pierre-Henri Conze
Multi-modal medical Transformers: A meta-analysis for medical image segmentation in oncology. Comput. Medical Imaging Graph. 110 (2023)
Nathan Decaux, Pierre-Henri Conze, Juliette Ropars, Xinyan He, Frances T. Sheehan, Christelle Pons, Douraied Ben Salem, Sylvain Brochard, François Rousseau
Semi-automatic muscle segmentation in MR images using deep registration-based label propagation. Pattern Recognit. 140 (2023)
Mostafa El Habib Daho, Yihao Li, Rachid Zeghlache, Yapo Cedric Atse, Hugo Le Boité, Sophie Bonnin, Deborah Cosette, Pierre Deman, Laurent Borderie, Capucine Lepicard, Ramin Tadayoni, Béatrice Cochener, Pierre-Henri Conze, Mathieu Lamard, Gwenolé Quellec
Improved Automatic Diabetic Retinopathy Severity Classification Using Deep Multimodal Fusion of UWF-CFP and OCTA Images. CoRR (2023)
Guillaume Sallé, Pierre-Henri Conze, Julien Bert, Nicolas Boussion, Dimitris Visvikis, Vincent Jaouen
Cross-modal tumor segmentation using generative blending augmentation and self training. CoRR (2023)
Hicham Messaoudi, Ahror Belaid, Douraied Ben Salem, Pierre-Henri Conze
Cross-dimensional transfer learning in medical image segmentation with deep learning. CoRR (2023)
Mostafa El Habib Daho, Yihao Li, Rachid Zeghlache, Yapo Cedric Atse, Hugo Le Boité, Sophie Bonnin, Deborah Cosette, Pierre Deman, Laurent Borderie, Capucine Lepicard, Ramin Tadayoni, Béatrice Cochener, Pierre-Henri Conze, Mathieu Lamard, Gwenolé Quellec
Improved Automatic Diabetic Retinopathy Severity Classification Using Deep Multimodal Fusion of UWF-CFP and OCTA Images. OMIA@MICCAI (2023)
A. Sadikine, Bogdan Badic, Jean-Pierre Tasu, Vincent Noblet, Pascal Ballet, Dimitris Visvikis, Pierre-Henri Conze
Scale-Specific Auxiliary Multi-Task Contrastive Learning for Deep Liver Vessel Segmentation. ISBI (2023)
Rachid Zeghlache, Pierre-Henri Conze, Mostafa El Habib Daho, Yihao Li, Hugo Le Boité, Ramin Tadayoni, Pascale Massin, Béatrice Cochener, Ikram Brahim, Gwenolé Quellec, Mathieu Lamard
LMT: Longitudinal Mixing Training, a Framework to Predict Disease Progression from a Single Image. MLMI@MICCAI (2) (2023)
Jun Ma, Yao Zhang, Song Gu, Xingle An, Zhihe Wang, Cheng Ge, Congcong Wang, Fan Zhang, Yu Wang, Yinan Xu, Shuiping Gou, Franz Thaler, Christian Payer, Darko Stern, Edward G. A. Henderson, Dónal M. McSweeney, Andrew F. Green, Price Jackson, Lachlan McIntosh, Quoc-Cuong Nguyen, Abdul Qayyum, Pierre-Henri Conze, Ziyan Huang, Ziqi Zhou, Deng-Ping Fan, Huan Xiong, Guoqiang Dong, Qiongjie Zhu, Jian He, Xiaoping Yang
Fast and Low-GPU-memory abdomen CT organ segmentation: The FLARE challenge. Medical Image Anal. 82 (2022)
Rachid Zeghlache, Pierre-Henri Conze, Mostafa El Habib Daho, Ramin Tadayoni, Pascale Massin, Béatrice Cochener, Gwenolé Quellec, Mathieu Lamard
Detection of diabetic retinopathy using longitudinal self-supervised learning. CoRR (2022)
Yihao Li, Rachid Zeghlache, Ikram Brahim, Hui Xu, Yubo Tan, Pierre-Henri Conze, Mathieu Lamard, Gwenolé Quellec, Mostafa El Habib Daho
Segmentation, Classification, and Quality Assessment of UW-OCTA Images for the Diagnosis of Diabetic Retinopathy. CoRR (2022)
Arnaud Boutillon, Bhushan Borotikar, Valérie Burdin, Pierre-Henri Conze
Multi-structure bone segmentation in pediatric MR images with combined regularization from shape priors and adversarial network. Artif. Intell. Medicine 132 (2022)
Ikram Brahim, Mathieu Lamard, Anas-Alexis Benyoussef, Pierre-Henri Conze, Béatrice Cochener, Divi Cornec, Gwenolé Quellec
Mapping the ocular surface from monocular videos with an application to dry eye disease grading. CoRR (2022)
Rachid Zeghlache, Pierre-Henri Conze, Mostafa El Habib Daho, Ramin Tadayoni, Pascale Massin, Béatrice Cochener, Gwenolé Quellec, Mathieu Lamard
Detection of Diabetic Retinopathy Using Longitudinal. OMIA@MICCAI (2022)
Mohammad Mohaiminul Islam, Bogdan Badic, Thomas Aparicio, David Tougeron, Jean-Pierre Tasu, Dimitris Visvikis, Pierre-Henri Conze
Deep Treatment Response Assessment and Prediction of Colorectal Cancer Liver Metastases. MICCAI (3) (2022)
Ikram Brahim, Mathieu Lamard, Anas-Alexis Benyoussef, Pierre-Henri Conze, Béatrice Cochener, Divi Cornec, Gwenolé Quellec
Mapping the Ocular Surface from Monocular Videos with an Application to Dry Eye Disease Grading. OMIA@MICCAI (2022)
Arnaud Boutillon, Pierre-Henri Conze, Christelle Pons, Valérie Burdin, Bhushan Borotikar
Generalizable multi-task, multi-domain deep segmentation of sparse pediatric imaging datasets via multi-scale contrastive regularization and multi-joint anatomical priors. CoRR (2022)
Yihao Li, Mostafa El Habib Daho, Pierre-Henri Conze, Hassan Al Hajj, Sophie Bonnin, Hugang Ren, Niranchana Manivannan, Stephanie Magazzeni, Ramin Tadayoni, Béatrice Cochener, Mathieu Lamard, Gwenolé Quellec
Multimodal Information Fusion for Glaucoma and DR Classification. CoRR (2022)
Asma Touil, Karim Kalti, Pierre-Henri Conze, Basel Solaiman, Mohamed Ali Mahjoub
A New Collaborative Classification Process for Microcalcification Detection Based on Graphs and Knowledge Propagation. J. Digit. Imaging 35 (6) (2022)
Yihao Li, Rachid Zeghlache, Ikram Brahim, Hui Xu, Yubo Tan, Pierre-Henri Conze, Mathieu Lamard, Gwenolé Quellec, Mostafa El Habib Daho
Segmentation, Classification, and Quality Assessment of UW-OCTA Images for the Diagnosis of Diabetic Retinopathy. MIDOG/DRAC@MICCAI (2022)
G. Andrade-Miranda, Vincent Jaouen, V. Bourbonne, F. Lucia, Dimitris Visvikis, Pierre-Henri Conze
Pure Versus Hybrid Transformers For Multi-Modal Brain Tumor Segmentation: A Comparative Study. ICIP (2022)
Yihao Li, Mostafa El Habib Daho, Pierre-Henri Conze, Hassan Al Hajj, Sophie Bonnin, Hugang Ren, Niranchana Manivannan, Stephanie Magazzeni, Ramin Tadayoni, Béatrice Cochener, Mathieu Lamard, Gwenolé Quellec
Multimodal Information Fusion for Glaucoma and Diabetic Retinopathy Classification. OMIA@MICCAI (2022)
Arnaud Boutillon, Pierre-Henri Conze, Christelle Pons, Valérie Burdin, Bhushan Borotikar
Generalizable multi-task, multi-domain deep segmentation of sparse pediatric imaging datasets via multi-scale contrastive regularization and multi-joint anatomical priors. Medical Image Anal. 81 (2022)
A. Sadikine, Bogdan Badic, Jean-Pierre Tasu, Vincent Noblet, Dimitris Visvikis, Pierre-Henri Conze
Semi-Overcomplete Convolutional Auto-Encoder Embedding as Shape Priors for Deep Vessel Segmentation. ICIP (2022)
Asma Touil, Karim Kalti, Pierre-Henri Conze, Basel Solaiman, Mohamed Ali Mahjoub
A new conditional region growing approach for microcalcification delineation in mammograms. Medical Biol. Eng. Comput. 59 (9) (2021)
Yutong Yan, Pierre-Henri Conze, Gwénolé Quellec, Pascale Massin, Mathieu Lamard, Gouenou Coatrieux, Béatrice Cochener
Longitudinal Detection of Diabetic Retinopathy Early Severity Grade Changes Using Deep Learning. OMIA@MICCAI (2021)
Arnaud Boutillon, Pierre-Henri Conze, Christelle Pons, Valérie Burdin, Bhushan Borotikar
Multi-task, Multi-domain Deep Segmentation with Shared Representations and Contrastive Regularization for Sparse Pediatric Datasets. MICCAI (1) (2021)
Vincent Jaouen, Pierre-Henri Conze, Guillaume Dardenne, Julien Bert, Dimitris Visvikis
Regularized directional representations for medical image registration. CoRR (2021)
A. Emre Kavur, Naciye Sinem Gezer, Mustafa Baris, Sinem Aslan, Pierre-Henri Conze, Vladimir Groza, Duc Duy Pham, Soumick Chatterjee, Philipp Ernst, Savas Özkan, Bora Baydar, Dmitry A. Lachinov, Shuo Han, Josef Pauli, Fabian Isensee, Matthias Perkonigg, Rachana Sathish, Ronnie Rajan, M. Alper Selver
CHAOS Challenge - combined (CT-MR) healthy abdominal organ segmentation. Medical Image Anal. 69 (2021)
Pierre-Henri Conze, Ali Emre Kavur, Emilie Cornec-Le Gall, Naciye Sinem Gezer, Yannick Le Meur, M. Alper Selver, François Rousseau
Abdominal multi-organ segmentation with cascaded convolutional and adversarial deep networks. Artif. Intell. Medicine 117 (2021)
Arnaud Boutillon, Pierre-Henri Conze, Christelle Pons, Valérie Burdin, Bhushan Borotikar
Multi-Task, Multi-Domain Deep Segmentation with Shared Representations and Contrastive Regularization for Sparse Pediatric Datasets. CoRR (2021)
Yutong Yan, Pierre-Henri Conze, Gwénolé Quellec, Mathieu Lamard, Béatrice Cochener, Gouenou Coatrieux
Two-Stage Multi-Scale Mass Segmentation From Full Mammograms. ISBI (2021)
Arnaud Boutillon, Bhushan Borotikar, Christelle Pons, Valérie Burdin, Pierre-Henri Conze
Multi-Structure Deep Segmentation With Shape Priors And Latent Adversarial Regularization. ISBI (2021)
Arnaud Boutillon, Bhushan Borotikar, Christelle Pons, Valérie Burdin, Pierre-Henri Conze
Multi-Structure Deep Segmentation with Shape Priors and Latent Adversarial Regularization. CoRR (2021)
Yutong Yan, Pierre-Henri Conze, Mathieu Lamard, Heng Zhang, Gwénolé Quellec, Béatrice Cochener, Gouenou Coatrieux
Deep Active Learning for Dual-View Mammogram Analysis. MLMI@MICCAI (2021)
Yutong Yan, Pierre-Henri Conze, Mathieu Lamard, Gwénolé Quellec, Béatrice Cochener, Gouenou Coatrieux
Towards improved breast mass detection using dual-view mammogram matching. Medical Image Anal. 71 (2021)
Gwénolé Quellec, Hassan Al Hajj, Mathieu Lamard, Pierre-Henri Conze, Pascale Massin, Béatrice Cochener
ExplAIn: Explanatory artificial intelligence for diabetic retinopathy diagnosis. Medical Image Anal. 72 (2021)
Hicham Messaoudi, Ahror Belaid, Mohamed Lamine Allaoui, Ahcene Zetout, Mohand Saïd Allili, Souhil Tliba, Douraied Ben Salem, Pierre-Henri Conze
Efficient embedding network for 3D brain tumor segmentation. CoRR (2020)
A. Emre Kavur, Naciye Sinem Gezer, Mustafa Baris, Pierre-Henri Conze, Vladimir Groza, Duc Duy Pham, Soumick Chatterjee, Philipp Ernst, Savas Özkan, Bora Baydar, Dmitry A. Lachinov, Shuo Han, Josef Pauli, Fabian Isensee, Matthias Perkonigg, Rachana Sathish, Ronnie Rajan, Sinem Aslan, Debdoot Sheet, Gurbandurdy Dovletov, Oliver Speck, Andreas Nürnberger, Klaus H. Maier-Hein, Gözde B. Akar, Gözde B. Ünal, Oguz Dicle, M. Alper Selver
CHAOS Challenge - Combined (CT-MR) Healthy Abdominal Organ Segmentation. CoRR (2020)
Hicham Messaoudi, Ahror Belaid, Mohamed Lamine Allaoui, Ahcene Zetout, Mohand Saïd Allili, Souhil Tliba, Douraied Ben Salem, Pierre-Henri Conze
Efficient Embedding Network for 3D Brain Tumor Segmentation. BrainLes@MICCAI (1) (2020)
Gwénolé Quellec, Mathieu Lamard, Pierre-Henri Conze, Pascale Massin, Béatrice Cochener
Automatic detection of rare pathologies in fundus photographs using few-shot learning. Medical Image Anal. 61 (2020)
Arnaud Boutillon, Bhushan Borotikar, Valérie Burdin, Pierre-Henri Conze
Multi-structure bone segmentation in pediatric MR images with combined regularization from shape priors and adversarial network. CoRR (2020)
Mahaman Sani Chaibou, Pierre-Henri Conze, Karim Kalti, Mohamed Ali Mahjoub, Basel Solaiman
Learning contextual superpixel similarity for consistent image segmentation. Multim. Tools Appl. 79 (3-4) (2020)
Yutong Yan, Pierre-Henri Conze, Mathieu Lamard, Gwénolé Quellec, Béatrice Cochener, Gouenou Coatrieux
Multi-tasking Siamese Networks for Breast Mass Detection Using Dual-View Mammogram Matching. MLMI@MICCAI (2020)
Asma Touil, Karim Kalti, Pierre-Henri Conze, Basel Solaiman, Mohamed Ali Mahjoub
A new conditional region growing approach for an accurate detection of microcalcifications from mammographic images. BIBE (2020)
Arnaud Boutillon, Bhushan Borotikar, Valérie Burdin, Pierre-Henri Conze
Combining Shape Priors with Conditional Adversarial Networks for Improved Scapula Segmentation in Mr Images. ISBI (2020)
Pierre-Henri Conze, Sylvain Brochard, Valérie Burdin, Frances T. Sheehan, Christelle Pons
Healthy versus pathological learning transferability in shoulder muscle MRI segmentation using deep convolutional encoder-decoders. Comput. Medical Imaging Graph. 83 (2020)
Pierre-Henri Conze, Ali Emre Kavur, Emilie Cornec-Le Gall, Naciye Sinem Gezer, Yannick Le Meur, M. Alper Selver, François Rousseau
Abdominal multi-organ segmentation with cascaded convolutional and adversarial deep networks. CoRR (2020)
Kamal Souadih, Ahror Belaid, Douraied Ben Salem, Pierre-Henri Conze
Automatic forensic identification using 3D sphenoid sinus segmentation and deep characterization. Medical Biol. Eng. Comput. 58 (2) (2020)
Asma Touil, Karim Kalti, Pierre-Henri Conze, Basel Solaiman, Mohamed Ali Mahjoub
Morphological-based microcalcification detection using adaptive thresholding and structural similarity indices. ATSIP (2020)
Gwénolé Quellec, Hassan Al Hajj, Mathieu Lamard, Pierre-Henri Conze, Pascale Massin, Béatrice Cochener
ExplAIn: Explanatory Artificial Intelligence for Diabetic Retinopathy Diagnosis. CoRR (2020)
Yutong Yan, Pierre-Henri Conze, Gwénolé Quellec, Mathieu Lamard, Béatrice Cochener, Gouenou Coatrieux
Two-stage breast mass detection and segmentation system towards automated high-resolution full mammogram analysis. CoRR (2020)
Arnaud Boutillon, Bhushan Borotikar, Valérie Burdin, Pierre-Henri Conze
Combining Shape Priors with Conditional Adversarial Networks for Improved Scapula Segmentation in MR images. CoRR (2019)
Yutong Yan, Pierre-Henri Conze, Etienne Decencière, Mathieu Lamard, Gwénolé Quellec, Béatrice Cochener, Gouenou Coatrieux
Cascaded multi-scale convolutional encoder-decoders for breast mass segmentation in high-resolution mammograms. EMBC (2019)
Pierre-Henri Conze, Florian Tilquin, Mathieu Lamard, Fabrice Heitz, Gwénolé Quellec
Unsupervised learning-based long-term superpixel tracking. Image Vis. Comput. 89 (2019)
Gwénolé Quellec, Mathieu Lamard, Pierre-Henri Conze, Pascale Massin, Béatrice Cochener
Automatic detection of multiple pathologies in fundus photographs using spin-off learning. CoRR (2019)
Pierre-Henri Conze, Christelle Pons, Valérie Burdin, Frances T. Sheehan, Sylvain Brochard
Deep convolutional encoder-decoders for deltoid segmentation using healthy versus pathological learning transferability. ISBI (2019)
Hassan Al Hajj, Mathieu Lamard, Pierre-Henri Conze, Soumali Roychowdhury, Xiaowei Hu, Gabija Marsalkaite, Odysseas Zisimopoulos, Muneer Ahmad Dedmari, Fenqiang Zhao, Jonas Prellberg, Manish Sahu, Adrian Galdran, Teresa Araújo, Duc My Vo, Chandan Panda, Navdeep Dahiya, Satoshi Kondo, Zhengbing Bian, Gwénolé Quellec
CATARACTS: Challenge on automatic tool annotation for cataRACT surgery. Medical Image Anal. 52 (2019)
Pierre-Henri Conze, Florian Tilquin, Mathieu Lamard, Fabrice Heitz, Gwénolé Quellec
Unsupervised learning-based long-term superpixel tracking. CoRR (2019)
Pierre-Henri Conze, Sylvain Brochard, Valérie Burdin, Frances T. Sheehan, Christelle Pons
Healthy versus pathological learning transferability in shoulder muscle MRI segmentation using deep convolutional encoder-decoders. CoRR (2019)
A. Guerre, Mathieu Lamard, Pierre-Henri Conze, Béatrice Cochener, Gwénolé Quellec
Optical flow estimation in ocular endoscopy videos using flownet on simulated endoscopy data. ISBI (2018)
Florian Tilquin, Pierre-Henri Conze, Patrick Pessaux, Mathieu Lamard, Gwénolé Quellec, Vincent Noblet, Fabrice Heitz
Robust Supervoxel Matching Combining Mid-Level Spectral and Context-Rich Features. Patch-MI@MICCAI (2018)
Mahaman Sani Chaibou, Pierre-Henri Conze, Karim Kalti, Basel Solaiman, Mohamed Ali Mahjoub
Adaptive strategy for superpixel-based region-growing image segmentation. CoRR (2018)
Pierre-Henri Conze, Florian Tilquin, Mathieu Lamard, Fabrice Heitz, Gwénolé Quellec
Long-term superpixel tracking using unsupervised learning and multi-step integration. ATSIP (2018)
Hassan Al Hajj, Mathieu Lamard, Pierre-Henri Conze, Béatrice Cochener, Gwénolé Quellec
Monitoring tool usage in surgery videos using boosted convolutional and recurrent neural networks. Medical Image Anal. 47 (2018)
Hassan Al Hajj, Mathieu Lamard, Pierre-Henri Conze, Béatrice Cochener, Gwénolé Quellec
Monitoring tool usage in cataract surgery videos using boosted convolutional and recurrent neural networks. CoRR (2017)
Pierre-Henri Conze, Florian Tilquin, Vincent Noblet, François Rousseau, Fabrice Heitz, Patrick Pessaux
Hierarchical multi-scale supervoxel matching using random forests for automatic semi-dense abdominal image registration. ISBI (2017)
Pierre-Henri Conze, Vincent Noblet, François Rousseau, Fabrice Heitz, Vito de Blasi, Riccardo Memeo, Patrick Pessaux
Scale-adaptive supervoxel-based random forests for liver tumor segmentation in dynamic contrast-enhanced CT scans. Int. J. Comput. Assist. Radiol. Surg. 12 (2) (2017)
Mahaman Sani Chaibou, Pierre-Henri Conze, Karim Kalti, Basel Solaiman, Mohamed Ali Mahjoub
Adaptive strategy for superpixel-based region-growing image segmentation. J. Electronic Imaging 26 (6) (2017)
Pierre-Henri Conze, Philippe Robert, Tomás Crivelli, Luce Morin
Multi-reference combinatorial strategy towards longer long-term dense motion estimation. Comput. Vis. Image Underst. 150 (2016)
Pierre-Henri Conze, Vincent Noblet, François Rousseau, Fabrice Heitz, Riccardo Memeo, Patrick Pessaux
Random forests on hierarchical multi-scale supervoxels for liver tumor segmentation in dynamic contrast-enhanced CT scans. ISBI (2016)
Tomás Crivelli, Matthieu Fradet, Pierre-Henri Conze, Philippe Robert, Patrick Pérez
Robust Optical Flow Integration. IEEE Trans. Image Process. 24 (1) (2015)
Pierre-Henri Conze, François Rousseau, Vincent Noblet, Fabrice Heitz, Riccardo Memeo, Patrick Pessaux
Semi-automatic Liver Tumor Segmentation in Dynamic Contrast-Enhanced CT Scans Using Random Forests and Supervoxels. MLMI (2015)
Pierre-Henri Conze, Philippe Robert, Tomás Crivelli, Luce Morin
Dense Long-term Motion Estimation via Statistical Multi-step Flow. VISAPP (3) (2014)
Pierre-Henri Conze, Tomás Crivelli, Philippe Robert, Luce Morin
Dense motion estimation between distant frames: Combinatorial multi-step integration and statistical selection. ICIP (2013)
Pierre-Henri Conze, Philippe Robert, Luce Morin
Objective view synthesis quality assessment. SD&A (2012)
Tomás Crivelli, Pierre-Henri Conze, Philippe Robert, Matthieu Fradet, Patrick Pérez
Multi-step flow fusion: towards accurate and dense correspondences in long video shots. BMVC (2012)
Tomás Crivelli, Pierre-Henri Conze, Philippe Robert, Patrick Pérez
From optical flow to dense long term correspondences. ICIP (2012)
Philippe Robert, Cédric Thébault, Pierre-Henri Conze
Disparity-compensated view synthesis for S3D content correction. SD&A (2012)

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Publication Activity (10 Years)

Top Topics

Top Venues

Pierre-Henri Conze