Assistant Professor (Maître de Conférences) , Université Bretagne Sud, IUT de Vannes
Researcher at IRISA (computer science lab)/team OBELIX
I received my Master of Engineering and PhD degrees from Telecom Bretagne, Brest, France in 2013 and 2016. I was intern at the Dpt. Geomatics, Laval University, Canada in 2013. From 2016 to 2019, I was post-doctoral fellow at IRISA laboratory, Université Bretagne Sud & Université Rennes 1, France. In 2018, I was invited researcher at TU Berlin (Germany), University of Trento (Italy) and Imperial College London (UK).
Since 2019, I am an Assistant professor (Maître de Conférences) at Université Bretagne Sud, IUT de Vannes, France. I am also researcher at IRISA lab (OBELIX team). My research focuses on image processing and machine learning applied to remote sensing for earth observation data.
Since 2019, I am co-chair of the MACLEAN (Machine learning for earth observation) workshop at ECML/PKDD and the MACLEAN action of GdR MADICS. I am Guest Editor of MDPI Remote Sensing and Springer Machine Learning.
Offices: UBS-IRISA: C107, Bât. ENSIBS, Campus de Tohannic, rue Yves Mainguy - 56000 VANNES, FRANCE
IUT Vannes - Dpt INFO: B147, 8 rue Michel de Montaigne - 56000 VANNES, FRANCE
Phone: (+33) 297017298, (+33) 297626434 Email: minh-tan.pham[at]irisa.fr, minh-tan.pham[at]univ-ubs.fr
Hoang-An Le (Postdoc, 2020 - )
Paul Berg (PhD student, 2021 - )
Manal Hamzaoui (PhD student, 2019 - )
Oscar Narvaez Luces (Msc student, 2023 - )
Hugo Gangloff (Postdoc, 2021 - 2022, now Research Engineer at INRAE)
Deise Santana Maia (Postdoc, 2019 - 2021, now Assistant Professor at University of Lille )
Tanya Singh (Msc student, 2022, now Engineer in Austria)
Anthony Frion (Msc student, 2021, now PhD student at IMT Atlantique)
Paul Berg (Msc student, 2021, now PhD student)
Alexandre Chojnacki (Msc student, 2019, now Engineer DGA)
Main research projects:
SAD ROMMEO (2022-2024, Principal Investigator, funding Région Bretagne) 63k€
ANR OTTOPIA (2021-2024)
ANR MULTISCALE (2019-2022)
ANR DEEPDETECT (2018-2020)
R&T CNES CARS (2018-2019)
01/2023: Our paper "Spherical sliced-wasserstein" has been accepted at ICLR 2023 !
08/2022: Our paper "Self-Supervised Learning for Scene Classification in Remote Sensing: Current State of the Art and Perspectives" has been accepted for publication in Remote Sensing (IF=5.349).
07/2022: Our paper "Mutual Guidance meets Contrastive Learning: Vehicle detection in Remote Sensing Images" has been accepted for publication in Remote Sensing (IF=5.349).
06/2022: Our paper "A hierarchical prototypical network for few-shot remote sensing scene classification" has been awarded BEST PAPER (1st prize) in ICPRAI 2022 !!!
05/2022: Our paper "Learning digital terrain models from point clouds: ALS2DTM dataset and rasterization-based GAN" has been accepted for publication in IEEE JSTARS (IF=3.784)
04/2022: We organise the 4th edition of MACLEAN (Machine learning for earth observation) in conjunction with the ECML/PKDD 2022. More info : https://sites.google.com/view/maclean22 (submission : 23/6/2022)
03/2022: 1 ICPR + 1 ICPRAI + 1 RFIAPpaper accepted for oral presentation.
02/2022: Our paper "Watershed-based attribute profiles with semantic prior knowledge for remote sensing image analysis" has been accepted for publication in IEEE JSTARS (IF=3.784).
01/2022: Our paper "Weakly supervised detection of marine animals in high resolution aerial images" has been accepted for publication in Remote Sensing (IF=4.848).
08/2021: Postdoc call in unsupervised/weakly-supervised learning applied to the detection of marine mammals (please see https://www-obelix.irisa.fr/files/2021/07/2021_Postdoc_GoTSeMaC.pdf) (filled)
04/2021: We organise the 3rd edition of MACLEAN (Machine learning for earth observation) in conjunction with the ECML/PKDD 2021. More info : https://sites.google.com/view/maclean21/ (submission : 23/6/2021)
02/2021: One paper accepted to DGMM (IAPR Int. Conf. on Discrete Geometry and Mathematical Morphology)
12/2020: Our paper "Classification of remote sensing data with morphological attributes profiles: a decade of advances" has been accepted for publication in Geosciences and Remote Sensing Magazines (IF=13).
We propose 2 topics of Master Internship on Spring 2021. One about unsupervised/weakly-supervised object detection and one about graph-based representation learning. More information: https://www-obelix.irisa.fr/job-offers/ (filled)
09/2020: Our paper "Small Object Detection in Remote Sensing Images Based on Super-Resolution with Auxiliary Generative Adversarial Networks" has been accepted for publication in Remote Sensing (IF=4.509).
08/2020: Our paper "YOLO-fine: one-stage detector of small objects under various backgrounds in remote sensing images" has been accepted for publication in Remote Sensing (IF=4.509).
07/2020: We organize an online session on "Machine learning for times series" in the context of the 2nd Symposium of GDR MADICS. Check out the program at: https://project.inria.fr/maclean/maclean-symposium2020/
04/2020: 3 papers accepted at IGARSS 2020 (2 oral + 1 poster), 2 papers accepted at XXIVth ISPRS Congress 2020 and 1 paper accepted at RFIAP 2020 (oral)
04/2020: We organise the 2nd edition of MACLEAN (Machine learning for earth observation) in conjunction with the ECML/PKDD 2020. More info : https://sites.google.com/view/maclean2020/ (submission : 9/7/2020)
03/2020: Deadline of our special issue of "Feature-based methods for remote sensing image classification" in Remote Sensing (IF=4.118) has been extended to 31/12/2020. Link: https://www.mdpi.com/journal/remotesensing/special_issues/feature_based
01/2020: Our paper "VHR Airborne Polarimetric SAR image classification using convolutional neural networks" has been accepted at EUSAR 2020, Leipzig, Germany. (P/s: the conference has been postponed to March 2021)
12/2019: Our special issue in "Machine Learning for earth observation" has been announced in the Machine Learning journal. Dead line for submissions: 15/05/2020. Link: https://www.springer.com/journal/10994/updates/17467992
12/2019: Journée des Jeunes Chercheurs en MACLEAN est organisée à Paris le 2/12. Check out the program at: JC Maclean 2019
11/2019: Our paper "Semantic segmentation of LiDAR point clouds: Rasterization beyond Digital Elevation Models" has been accepted for publication in IEEE GRSL (IF=3.833).
09/2019: Check out the program of MACLEAN (Machine learning for Earth observation) workshop held at ECML/PKDD in Wurburg: https://mdl4eo.irstea.fr/maclean-machine-learning-for-earth-observation/
06/2019: Atelier MACLEAN (Apprentissage automatique et Observation de la Terre) aura lieu le 27/6 à Rennes, dans le cadre du 1er Symposium du Gdr Madics.
04/2019: We organise the workshop MACLEAN (Machine learning for earth observation) in conjunction with the ECML/PKDD 2019. Submission deadline: 17/06/2019. More info: https://mdl4eo.irstea.fr/maclean-machine-learning-for-earth-observation/
03/2019: Our special issue in "Feature-based methods for remote sensing image classification" has been announced in the Remote Sensing (IF=4.118). Deadline for submission: 31/03/2020. Link: https://www.mdpi.com/journal/remotesensing/special_issues/feature_based