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2020 – today
- 2025
[j21]Anh-Kiet Duong, Tran Vu La, Hoàng-Ân Lê, Minh-Tan Pham:
FedShip: Federated Learning for Ship Detection From Multi-Source Satellite Images. IEEE Geosci. Remote. Sens. Lett. 22: 1-5 (2025)- 2024
- [j20]Quentin Hamard, Minh-Tan Pham, Dorian Cazau, Karine Heerah:
A deep learning model for detecting and classifying multiple marine mammal species from passive acoustic data. Ecol. Informatics 84: 102906 (2024) - [j19]Paul Berg
, Baki Uzun, Minh-Tan Pham, Nicolas Courty:
Multimodal Supervised Contrastive Learning in Remote Sensing Downstream Tasks. IEEE Geosci. Remote. Sens. Lett. 21: 1-5 (2024) - [j18]Manal Hamzaoui, Laetitia Chapel, Minh-Tan Pham, Sébastien Lefèvre:
Hyperbolic prototypical network for few shot remote sensing scene classification. Pattern Recognit. Lett. 177: 151-156 (2024) - [c33]Baki Uzun, Shivam Pande, Gwendal Cachin-Bernard, Minh-Tan Pham, Sébastien Lefèvre, Rumsais Blatrix, Doyle McKey:
Mapping Earth Mounds from Space. IGARSS 2024: 4044-4049 - [c32]Shivam Pande, Baki Uzun, Florent Guiotte, Minh-Tan Pham, Thomas Corpetti, Florian Delerue, Sébastien Lefèvre:
Plant Detection from Ultra High Resolution Remote Sensing Images: A Semantic Segmentation Approach Based on Fuzzy Loss. IGARSS 2024: 5213-5217 - [c31]Anh-Kiet Duong, Hoàng-Ân Lê, Minh-Tan Pham:
Leveraging Feature Communication in Federated Learning for Remote Sensing Image Classification. IGARSS 2024: 6890-6894 - [c30]Tran Vu La, Minh-Tan Pham, Marco Chini:
Insight into the Collocation of Multi-Source Satellite Imagery for Multi-Scale Vessel Detection. IGARSS 2024: 7396-7400 - [c29]Hoàng-Ân Lê, Minh-Tan Pham:
Leveraging Knowledge Distillation for Partial Multi-Task Learning from Multiple Remote Sensing Datasets. IGARSS 2024: 8019-8023 - [i22]Anh-Kiet Duong, Hoàng-Ân Lê, Minh-Tan Pham:
Leveraging feature communication in federated learning for remote sensing image classification. CoRR abs/2403.13575 (2024) - [i21]Tran Vu La, Minh-Tan Pham, Marco Chini:
Insight Into the Collocation of Multi-Source Satellite Imagery for Multi-Scale Vessel Detection. CoRR abs/2403.13698 (2024) - [i20]Hoàng-Ân Lê, Minh-Tan Pham:
Leveraging knowledge distillation for partial multi-task learning from multiple remote sensing datasets. CoRR abs/2405.15394 (2024) - [i19]Huy Hoang Nguyen, Cuong Nhat Nguyen, Xuan Tung Dao, Quoc Trung Duong, Dzung Pham Thi Kim, Minh-Tan Pham:
Variational Autoencoder for Anomaly Detection: A Comparative Study. CoRR abs/2408.13561 (2024) - [i18]Baki Uzun, Shivam Pande, Gwendal Cachin-Bernard, Minh-Tan Pham, Sébastien Lefèvre, Rumsais Blatrix, Doyle McKey:
Mapping earth mounds from space. CoRR abs/2409.00518 (2024) - [i17]Hoàng-Ân Lê, Paul Berg, Minh-Tan Pham:
Box for Mask and Mask for Box: weak losses for multi-task partially supervised learning. CoRR abs/2411.17536 (2024) - 2023
- [c28]Hoàng-Ân Lê, Minh-Tan Pham:
Data exploitation: multi-task learning of object detection and semantic segmentation on partially annotated data. BMVC 2023: 870 - [c27]Hoàng-Ân Lê, Minh-Tan Pham:
Self-training and multi-task learning for limited data: evaluation study on object detection. ICCV (Workshops) 2023: 1003-1009 - [c26]Hugo Gangloff, Minh-Tan Pham, Luc Courtrai, Sébastien Lefèvre:
Unsupervised Anomaly Detection Using Variational Autoencoder with Gaussian Random Field Prior. ICIP 2023: 1620-1624 - [c25]Clément Bonet, Paul Berg, Nicolas Courty, François Septier, Lucas Drumetz, Minh-Tan Pham:
Spherical Sliced-Wasserstein. ICLR 2023 - [c24]Abdelbadie Belmouhcine, Jean-Christophe Burnel, Luc Courtrai, Minh-Tan Pham, Sébastien Lefèvre:
Multimodal Object Detection in Remote Sensing. IGARSS 2023: 1245-1248 - [c23]Manal Hamzaoui, Laetitia Chapel, Minh-Tan Pham, Sébastien Lefèvre:
Hyperbolic Variational Auto-Encoder for Remote Sensing Scene Embeddings. IGARSS 2023: 5391-5394 - [c22]Minh-Tan Pham, Hugo Gangloff, Sébastien Lefèvre:
Weakly Supervised Marine Animal Detection from Remote Sensing Images Using Vector-Quantized Variational Autoencoder. IGARSS 2023: 5559-5562 - [c21]Hoàng-Ân Lê, Minh-Tan Pham:
Knowledge Distillation for Object Detection: From Generic To Remote Sensing Datasets. IGARSS 2023: 6194-6197 - [c20]Tanya Singh, Hugo Gangloff, Minh-Tan Pham:
Object Counting from Aerial Remote Sensing Images: Application to Wildlife and Marine Mammals. IGARSS 2023: 6580-6583 - [c19]Paul Berg, Minh-Tan Pham, Nicolas Courty:
Joint Multi-Modal Self-Supervised Pre-Training in Remote Sensing: Application to Methane Source Classification. IGARSS 2023: 6624-6627 - [c18]Oscar David Rafael Narvaez Luces, Minh-Tan Pham, Quentin Poterek, Rémi Braun:
Burnt Area Extraction from High-Resolution Satellite Images Based on Anomaly Detection. PKDD/ECML Workshops (3) 2023: 448-457 - [e4]Thomas Corpetti, Dino Ienco, Roberto Interdonato, Minh-Tan Pham, Sébastien Lefèvre:
Proceedings of MACLEAN: MAChine Learning for EArth ObservatioN Workshop co-located with the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML/PKDD 2022), Grenoble, France, September 18-22, 2022. CEUR Workshop Proceedings 3343, CEUR-WS.org 2023 [contents] - [i16]Paul Berg, Minh-Tan Pham, Nicolas Courty:
Joint multi-modal Self-Supervised pre-training in Remote Sensing: Application to Methane Source Classification. CoRR abs/2306.09851 (2023) - [i15]Tanya Singh, Hugo Gangloff, Minh-Tan Pham:
Object counting from aerial remote sensing images: application to wildlife and marine mammals. CoRR abs/2306.10439 (2023) - [i14]Minh-Tan Pham, Hugo Gangloff, Sébastien Lefèvre:
Weakly supervised marine animal detection from remote sensing images using vector-quantized variational autoencoder. CoRR abs/2307.06720 (2023) - [i13]Abdelbadie Belmouhcine, Jean-Christophe Burnel, Luc Courtrai, Minh-Tan Pham, Sébastien Lefèvre:
Multimodal Object Detection in Remote Sensing. CoRR abs/2307.06724 (2023) - [i12]Hoàng-Ân Lê, Minh-Tan Pham:
Knowledge Distillation for Object Detection: from generic to remote sensing datasets. CoRR abs/2307.09264 (2023) - [i11]Oscar David Rafael Narvaez Luces, Minh-Tan Pham, Quentin Poterek, Rémi Braun:
Burnt area extraction from high-resolution satellite images based on anomaly detection. CoRR abs/2308.13367 (2023) - [i10]Hoàng-Ân Lê, Minh-Tan Pham:
Self-Training and Multi-Task Learning for Limited Data: Evaluation Study on Object Detection. CoRR abs/2309.06288 (2023) - [i9]Hoàng-Ân Lê, Minh-Tan Pham:
Data exploitation: multi-task learning of object detection and semantic segmentation on partially annotated data. CoRR abs/2311.04040 (2023) - 2022
- [j17]Paul Berg, Deise Santana Maia, Minh-Tan Pham, Sébastien Lefèvre:
Weakly Supervised Detection of Marine Animals in High Resolution Aerial Images. Remote. Sens. 14(2): 339 (2022) - [j16]Hoàng-Ân Lê, Heng Zhang, Minh-Tan Pham, Sébastien Lefèvre:
Mutual Guidance Meets Supervised Contrastive Learning: Vehicle Detection in Remote Sensing Images. Remote. Sens. 14(15): 3689 (2022) - [j15]Paul Berg, Minh-Tan Pham, Nicolas Courty:
Self-Supervised Learning for Scene Classification in Remote Sensing: Current State of the Art and Perspectives. Remote. Sens. 14(16): 3995 (2022) - [j14]Deise Santana Maia, Minh-Tan Pham, Sébastien Lefèvre:
Watershed-Based Attribute Profiles With Semantic Prior Knowledge for Remote Sensing Image Analysis. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 15: 2574-2591 (2022) - [j13]Hoàng-Ân Lê, Florent Guiotte, Minh-Tan Pham, Sébastien Lefèvre, Thomas Corpetti:
Learning Digital Terrain Models From Point Clouds: ALS2DTM Dataset and Rasterization-Based GAN. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 15: 4980-4989 (2022) - [c17]Hugo Gangloff, Minh-Tan Pham, Luc Courtrai, Sébastien Lefèvre:
Leveraging Vector-Quantized Variational Autoencoder Inner Metrics for Anomaly Detection. ICPR 2022: 435-441 - [c16]Manal Hamzaoui, Laetitia Chapel, Minh-Tan Pham, Sébastien Lefèvre:
A Hierarchical Prototypical Network for Few-Shot Remote Sensing Scene Classification. ICPRAI (2) 2022: 208-220 - [e3]Thomas Corpetti, Dino Ienco, Roberto Interdonato, Minh-Tan Pham, Sébastien Lefèvre:
Proceedings of MACLEAN: MAChine Learning for EArth ObservatioN Workshop co-located with the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML/PKDD 2021), Virtual Conference, September 13-17, 2021. CEUR Workshop Proceedings 3088, CEUR-WS.org 2022 [contents] - [i8]Hoàng-Ân Lê, Florent Guiotte, Minh-Tan Pham, Sébastien Lefèvre, Thomas Corpetti:
Learning Digital Terrain Models from Point Clouds: ALS2DTM Dataset and Rasterization-based GAN. CoRR abs/2206.03778 (2022) - [i7]Clément Bonet, Paul Berg, Nicolas Courty, François Septier, Lucas Drumetz, Minh-Tan Pham:
Spherical Sliced-Wasserstein. CoRR abs/2206.08780 (2022) - 2021
- [c15]Deise Santana Maia, Minh-Tan Pham, Sébastien Lefèvre:
Watershed-Based Attribute Profiles for Pixel Classification of Remote Sensing Data. DGMM 2021: 120-133 - 2020
- [j12]Florent Guiotte, Minh-Tan Pham, Romain Dambreville, Thomas Corpetti, Sébastien Lefèvre:
Semantic Segmentation of LiDAR Points Clouds: Rasterization Beyond Digital Elevation Models. IEEE Geosci. Remote. Sens. Lett. 17(11): 2016-2019 (2020) - [j11]Minh-Tan Pham, Luc Courtrai, Chloé Friguet, Sébastien Lefèvre, Alexandre Baussard:
YOLO-Fine: One-Stage Detector of Small Objects Under Various Backgrounds in Remote Sensing Images. Remote. Sens. 12(15): 2501 (2020) - [j10]Luc Courtrai, Minh-Tan Pham, Sébastien Lefèvre:
Small Object Detection in Remote Sensing Images Based on Super-Resolution with Auxiliary Generative Adversarial Networks. Remote. Sens. 12(19): 3152 (2020) - [c14]Alice Froidevaux, Andréa Julier, Agustin Lifschitz, Minh-Tan Pham, Romain Dambreville, Sébastien Lefèvre, Pierre Lassalle, Thanh-Long Huynh:
Vehicle Detection and Counting from VHR Satellite Images: Efforts and Open Issues. IGARSS 2020: 256-259 - [c13]Luc Courtrai, Minh-Tan Pham, Chloé Friguet, Sébastien Lefèvre:
Small Object Detection from Remote Sensing Images with the Help of Object-Focused Super-Resolution Using Wasserstein GANs. IGARSS 2020: 260-263 - [c12]Davide Pirrone, Minh-Tan Pham:
A Compound Polarimetric-Textural Approach for Unsupervised Change Detection in Multi-Temporal Full-Pol SAR Imagery. IGARSS 2020: 316-319 - [e2]Thomas Corpetti, Dino Ienco, Roberto Interdonato, Minh-Tan Pham, Sébastien Lefèvre:
Proceedings of MACLEAN: MAChine Learning for EArth ObservatioN Workshop co-located with the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML/PKDD 2020), Virtual Conference, September 14-18, 2020. CEUR Workshop Proceedings 2766, CEUR-WS.org 2020 [contents]
2010 – 2019
- 2019
- [e1]Thomas Corpetti, Dino Ienco, Roberto Interdonato, Minh-Tan Pham, Sébastien Lefèvre:
Proceedings of MACLEAN: MAChine Learning for EArth ObservatioN Workshop co-located with the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML/PKDD 2019), Würzburg, Germany, September 20, 2019. CEUR Workshop Proceedings 2466, CEUR-WS.org 2019 [contents] - [i6]Alice Froidevaux, Andréa Julier, Agustin Lifschitz, Minh-Tan Pham, Romain Dambreville, Sébastien Lefèvre, Pierre Lassalle, Thanh-Long Huynh:
Vehicle detection and counting from VHR satellite images: efforts and open issues. CoRR abs/1910.10017 (2019) - [i5]Minh-Tan Pham, Sébastien Lefèvre:
Very high resolution Airborne PolSAR Image Classification using Convolutional Neural Networks. CoRR abs/1910.14578 (2019) - 2018
- [j9]Minh-Tan Pham, Sébastien Lefèvre, François Merciol:
Attribute Profiles on Derived Textural Features for Highly Textured Optical Image Classification. IEEE Geosci. Remote. Sens. Lett. 15(7): 1125-1129 (2018) - [j8]Minh-Tan Pham, Erchan Aptoula, Sébastien Lefèvre:
Feature Profiles from Attribute Filtering for Classification of Remote Sensing Images. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 11(1): 249-256 (2018) - [j7]Minh-Tan Pham:
Fusion of Polarimetric Features and Structural Gradient Tensors for VHR PolSAR Image Classification. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 11(10): 3732-3742 (2018) - [j6]Minh-Tan Pham, Sébastien Lefèvre, Erchan Aptoula:
Local Feature-Based Attribute Profiles for Optical Remote Sensing Image Classification. IEEE Trans. Geosci. Remote. Sens. 56(2): 1199-1212 (2018) - [c11]Minh-Tan Pham:
Efficient Texture Retrieval Using Multiscale Local Extrema Descriptors and Covariance Embedding. ECCV Workshops (4) 2018: 564-579 - [c10]Minh-Tan Pham, Erchan Aptoula, Sébastien Lefèvre:
Classification of Remote Sensing Images Using Attribute Profiles and Feature Profiles from Different Trees: A Comparative Study. IGARSS 2018: 4511-4514 - [c9]Minh-Tan Pham, Sébastien Lefèvre:
Buried Object Detection from B-Scan Ground Penetrating Radar Data Using Faster-RCNN. IGARSS 2018: 6804-6807 - [i4]Minh-Tan Pham, Sébastien Lefèvre:
Buried object detection from B-scan ground penetrating radar data using Faster-RCNN. CoRR abs/1803.08414 (2018) - [i3]Minh-Tan Pham, Sébastien Lefèvre, Erchan Aptoula, Lorenzo Bruzzone:
Recent Developments from Attribute Profiles for Remote Sensing Image Classification. CoRR abs/1803.10036 (2018) - [i2]Minh-Tan Pham, Erchan Aptoula, Sébastien Lefèvre:
Classification of remote sensing images using attribute profiles and feature profiles from different trees: a comparative study. CoRR abs/1806.06985 (2018) - [i1]Minh-Tan Pham:
Efficient texture retrieval using multiscale local extrema descriptors and covariance embedding. CoRR abs/1808.01124 (2018) - 2017
- [j5]Minh-Tan Pham, Grégoire Mercier, Lionel Bombrun:
Color Texture Image Retrieval Based on Local Extrema Features and Riemannian Distance. J. Imaging 3(4): 43 (2017) - [c8]Minh-Tan Pham, Sébastien Lefèvre, Erchan Aptoula, Bharath Bhushan Damodaran:
Classification of VHR remote sensing images using local feature-based attribute profiles. IGARSS 2017: 747-750 - [c7]Minh-Tan Pham, Grégoire Mercier, Emmanuel Trouvé, Sébastien Lefèvre:
SAR image texture tracking using a pointwise graph-based model for glacier displacement measurement. IGARSS 2017: 1083-1086 - [c6]Erchan Aptoula, Minh-Tan Pham, Sébastien Lefèvre:
Quasi-Flat Zones for Angular Data Simplification. ISMM 2017: 342-354 - 2016
- [b1]Minh-Tan Pham:
Pointwise approach for texture analysis and characterization from very high resolution remote sensing images. (Approche ponctuelle pour la caractérisation de textures dans des images de télédétection à très haute résolution). Telecom Bretagne, France, 2016 - [j4]Minh-Tan Pham, Grégoire Mercier, Olivier Regniers, Julien Michel:
Texture Retrieval from VHR Optical Remote Sensed Images Using the Local Extrema Descriptor with Application to Vineyard Parcel Detection. Remote. Sens. 8(5): 368 (2016) - [j3]Minh-Tan Pham, Grégoire Mercier, Julien Michel:
Change Detection Between SAR Images Using a Pointwise Approach and Graph Theory. IEEE Trans. Geosci. Remote. Sens. 54(4): 2020-2032 (2016) - [j2]Minh-Tan Pham, Grégoire Mercier, Julien Michel:
PW-COG: An Effective Texture Descriptor for VHR Satellite Imagery Using a Pointwise Approach on Covariance Matrix of Oriented Gradients. IEEE Trans. Geosci. Remote. Sens. 54(6): 3345-3359 (2016) - [c5]Minh-Tan Pham, Grégoire Mercier, Olivier Regniers, Lionel Bombrun, Julien Michel:
Texture retrieval from very high resolution remote sensing images using local extrema-based descriptors. IGARSS 2016: 1839-1842 - 2015
- [j1]Minh-Tan Pham, Grégoire Mercier, Julien Michel:
Pointwise Graph-Based Local Texture Characterization for Very High Resolution Multispectral Image Classification. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 8(5): 1962-1973 (2015) - [c4]Minh-Tan Pham, Grégoire Mercier, Julien Michel:
Pointwise approach on covariance matrix of oriented gradients for very high resolution image texture segmentation. IGARSS 2015: 1008-1011 - [c3]Minh-Tan Pham, Grégoire Mercier, Julien Michel:
Covariance-based texture description from weighted coherency matrix and gradient tensors for polarimetric SAR image classification. IGARSS 2015: 2469-2472 - [c2]Minh-Tan Pham, Grégoire Mercier, Julien Michel:
A keypoint approach for change detection between SAR images based on graph theory. MultiTemp 2015: 1-4 - 2014
- [c1]Minh-Tan Pham, Grégoire Mercier, Julien Michel:
Wavelets on graphs for very high resolution multispectral image texture segmentation. IGARSS 2014: 2273-2276
Coauthor Index
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