Wavelets on graphs for very high resolution multispectral image texture segmentation. - Minh-Tan Pham; Grégoire Mercier; Julien Michel (IGARSS, 2014)

Pointwise approach on covariance matrix of oriented gradients for very high resolution image texture segmentation. - Minh-Tan Pham; Grégoire Mercier; Julien Michel (IGARSS, 2015)

Covariance-based texture description from weighted coherency matrix and gradient tensors for polarimetric SAR image classification. - Minh-Tan Pham; Grégoire Mercier; Julien Michel (IGARSS, 2015)

A keypoint approach for change detection between SAR images based on graph theory. - Minh-Tan Pham; Grégoire Mercier; Julien Michel (MultiTemp, 2015)

Pointwise Graph-Based Local Texture Characterization for Very High Resolution Multispectral Image Classification. - Minh-Tan Pham; Grégoire Mercier; Julien Michel (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2015)

Texture retrieval from very high resolution remote sensing images using local extrema-based descriptors. - Minh-Tan Pham; Grégoire Mercier; Olivier Regniers; Lionel Bombrun; Julien Michel (IGARSS, 2016)

Texture Retrieval from VHR Optical Remote Sensed Images Using the Local Extrema Descriptor with Application to Vineyard Parcel Detection. - Minh-Tan Pham; Grégoire Mercier; Olivier Regniers; Julien Michel (Remote. Sens., 2016)

Change Detection Between SAR Images Using a Pointwise Approach and Graph Theory. - Minh-Tan Pham; Grégoire Mercier; Julien Michel (IEEE Trans. Geosci. Remote. Sens., 2016)

PW-COG: An Effective Texture Descriptor for VHR Satellite Imagery Using a Pointwise Approach on Covariance Matrix of Oriented Gradients. - Minh-Tan Pham; Grégoire Mercier; Julien Michel (IEEE Trans. Geosci. Remote. Sens., 2016)

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). - Minh-Tan Pham (2016)

Classification of VHR remote sensing images using local feature-based attribute profiles. - Minh-Tan Pham; Sébastien Lefèvre; Erchan Aptoula; Bharath Bhushan Damodaran (IGARSS, 2017)

SAR image texture tracking using a pointwise graph-based model for glacier displacement measurement. - Minh-Tan Pham; Grégoire Mercier; Emmanuel Trouvé; Sébastien Lefèvre (IGARSS, 2017)

Quasi-Flat Zones for Angular Data Simplification. - Erchan Aptoula; Minh-Tan Pham; Sébastien Lefèvre (ISMM, 2017)

Color Texture Image Retrieval Based on Local Extrema Features and Riemannian Distance. - Minh-Tan Pham; Grégoire Mercier; Lionel Bombrun (J. Imaging, 2017)

Efficient Texture Retrieval Using Multiscale Local Extrema Descriptors and Covariance Embedding. - Minh-Tan Pham (ECCV Workshops (4), 2018)

Classification of Remote Sensing Images Using Attribute Profiles and Feature Profiles from Different Trees: A Comparative Study. - Minh-Tan Pham; Erchan Aptoula; Sébastien Lefèvre (IGARSS, 2018)

Buried Object Detection from B-Scan Ground Penetrating Radar Data Using Faster-RCNN. - Minh-Tan Pham; Sébastien Lefèvre (IGARSS, 2018)

Recent Developments from Attribute Profiles for Remote Sensing Image Classification. - Minh-Tan Pham; Sébastien Lefèvre; Erchan Aptoula; Lorenzo Bruzzone (CoRR, 2018)

Attribute Profiles on Derived Textural Features for Highly Textured Optical Image Classification. - Minh-Tan Pham; Sébastien Lefèvre; François Merciol (IEEE Geosci. Remote. Sens. Lett., 2018)

Fusion of Polarimetric Features and Structural Gradient Tensors for VHR PolSAR Image Classification. - Minh-Tan Pham (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2018)

Feature Profiles from Attribute Filtering for Classification of Remote Sensing Images. - Minh-Tan Pham; Erchan Aptoula; Sébastien Lefèvre (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2018)

Local Feature-Based Attribute Profiles for Optical Remote Sensing Image Classification. - Minh-Tan Pham; Sébastien Lefèvre; Erchan Aptoula (IEEE Trans. Geosci. Remote. Sens., 2018)

Very high resolution Airborne PolSAR Image Classification using Convolutional Neural Networks. - Minh-Tan Pham; Sébastien Lefèvre (CoRR, 2019)

Small Object Detection from Remote Sensing Images with the Help of Object-Focused Super-Resolution Using Wasserstein GANs. - Luc Courtrai; Minh-Tan Pham; Chloé Friguet; Sébastien Lefèvre (IGARSS, 2020)

Vehicle Detection and Counting from VHR Satellite Images: Efforts and Open Issues. - Alice Froidevaux; Andréa Julier; Agustin Lifschitz; Minh-Tan Pham; Romain Dambreville; Sébastien Lefèvre; Pierre Lassalle; Thanh-Long Huynh (IGARSS, 2020)

A Compound Polarimetric-Textural Approach for Unsupervised Change Detection in Multi-Temporal Full-Pol SAR Imagery. - Davide Pirrone; Minh-Tan Pham (IGARSS, 2020)

Semantic Segmentation of LiDAR Points Clouds: Rasterization Beyond Digital Elevation Models. - Florent Guiotte; Minh-Tan Pham; Romain Dambreville; Thomas Corpetti; Sébastien Lefèvre (IEEE Geosci. Remote. Sens. Lett., 2020)

Small Object Detection in Remote Sensing Images Based on Super-Resolution with Auxiliary Generative Adversarial Networks. - Luc Courtrai; Minh-Tan Pham; Sébastien Lefèvre (Remote. Sens., 2020)

YOLO-Fine: One-Stage Detector of Small Objects Under Various Backgrounds in Remote Sensing Images. - Minh-Tan Pham; Luc Courtrai; Chloé Friguet; Sébastien Lefèvre; Alexandre Baussard (Remote. Sens., 2020)

Watershed-Based Attribute Profiles for Pixel Classification of Remote Sensing Data. - Deise Santana Maia; Minh-Tan Pham; Sébastien Lefèvre (DGMM, 2021)

Leveraging Vector-Quantized Variational Autoencoder Inner Metrics for Anomaly Detection. - Hugo Gangloff; Minh-Tan Pham; Luc Courtrai; Sébastien Lefèvre (ICPR, 2022)

A Hierarchical Prototypical Network for Few-Shot Remote Sensing Scene Classification. - Manal Hamzaoui; Laetitia Chapel; Minh-Tan Pham; Sébastien Lefèvre (ICPRAI (2), 2022)

Weakly Supervised Detection of Marine Animals in High Resolution Aerial Images. - Paul Berg; Deise Santana Maia; Minh-Tan Pham; Sébastien Lefèvre (Remote. Sens., 2022)

Self-Supervised Learning for Scene Classification in Remote Sensing: Current State of the Art and Perspectives. - Paul Berg; Minh-Tan Pham; Nicolas Courty (Remote. Sens., 2022)

Mutual Guidance Meets Supervised Contrastive Learning: Vehicle Detection in Remote Sensing Images. - Hoàng-Ân Lê; Heng Zhang; Minh-Tan Pham; Sébastien Lefèvre (Remote. Sens., 2022)

Learning Digital Terrain Models From Point Clouds: ALS2DTM Dataset and Rasterization-Based GAN. - Hoàng-Ân Lê; Florent Guiotte; Minh-Tan Pham; Sébastien Lefèvre; Thomas Corpetti (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2022)

Watershed-Based Attribute Profiles With Semantic Prior Knowledge for Remote Sensing Image Analysis. - Deise Santana Maia; Minh-Tan Pham; Sébastien Lefèvre (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2022)

Data exploitation: multi-task learning of object detection and semantic segmentation on partially annotated data. - Hoàng-Ân Lê; Minh-Tan Pham (BMVC, 2023)

Self-training and multi-task learning for limited data: evaluation study on object detection. - Hoàng-Ân Lê; Minh-Tan Pham (ICCV (Workshops), 2023)

Unsupervised Anomaly Detection Using Variational Autoencoder with Gaussian Random Field Prior. - Hugo Gangloff; Minh-Tan Pham; Luc Courtrai; Sébastien Lefèvre (ICIP, 2023)

Spherical Sliced-Wasserstein. - Clément Bonet; Paul Berg; Nicolas Courty; François Septier; Lucas Drumetz; Minh-Tan Pham (ICLR, 2023)

Multimodal Object Detection in Remote Sensing. - Abdelbadie Belmouhcine; Jean-Christophe Burnel; Luc Courtrai; Minh-Tan Pham; Sébastien Lefèvre (IGARSS, 2023)

Joint Multi-Modal Self-Supervised Pre-Training in Remote Sensing: Application to Methane Source Classification. - Paul Berg; Minh-Tan Pham; Nicolas Courty (IGARSS, 2023)

Hyperbolic Variational Auto-Encoder for Remote Sensing Scene Embeddings. - Manal Hamzaoui; Laetitia Chapel; Minh-Tan Pham; Sébastien Lefèvre (IGARSS, 2023)

Knowledge Distillation for Object Detection: From Generic To Remote Sensing Datasets. - Hoàng-Ân Lê; Minh-Tan Pham (IGARSS, 2023)

Weakly Supervised Marine Animal Detection from Remote Sensing Images Using Vector-Quantized Variational Autoencoder. - Minh-Tan Pham; Hugo Gangloff; Sébastien Lefèvre (IGARSS, 2023)

Object Counting from Aerial Remote Sensing Images: Application to Wildlife and Marine Mammals. - Tanya Singh; Hugo Gangloff; Minh-Tan Pham (IGARSS, 2023)

Burnt Area Extraction from High-Resolution Satellite Images Based on Anomaly Detection. - Oscar David Rafael Narvaez Luces; Minh-Tan Pham; Quentin Poterek; Rémi Braun (PKDD/ECML Workshops (3), 2023)

Horospherical Learning with Smart Prototypes. - Paul Berg; Björn Michele; Minh-Tan Pham; Laetitia Chapel; Nicolas Courty (BMVC, 2024)

Box for Mask and Mask for Box: weak losses for multi-task partially supervised learning. - Hoàng-Ân Lê; Paul Berg; Minh-Tan Pham (BMVC, 2024)

Leveraging Feature Communication in Federated Learning for Remote Sensing Image Classification. - Anh-Kiet Duong; Hoàng-Ân Lê; Minh-Tan Pham (IGARSS, 2024)

Insight into the Collocation of Multi-Source Satellite Imagery for Multi-Scale Vessel Detection. - Tran Vu La; Minh-Tan Pham; Marco Chini (IGARSS, 2024)

Leveraging Knowledge Distillation for Partial Multi-Task Learning from Multiple Remote Sensing Datasets. - Hoàng-Ân Lê; Minh-Tan Pham (IGARSS, 2024)

Plant Detection from Ultra High Resolution Remote Sensing Images: A Semantic Segmentation Approach Based on Fuzzy Loss. - Shivam Pande; Baki Uzun; Florent Guiotte; Minh-Tan Pham; Thomas Corpetti; Florian Delerue; Sébastien Lefèvre (IGARSS, 2024)

Mapping Earth Mounds from Space. - Baki Uzun; Shivam Pande; Gwendal Cachin-Bernard; Minh-Tan Pham; Sébastien Lefèvre; Rumsais Blatrix; Doyle McKey (IGARSS, 2024)

Variational Autoencoder for Anomaly Detection: A Comparative Study. - Huy Hoang Nguyen; Cuong Nhat Nguyen; Xuan Tung Dao; Quoc Trung Duong; Dzung Pham Thi Kim; Minh-Tan Pham (CoRR, 2024)

A deep learning model for detecting and classifying multiple marine mammal species from passive acoustic data. - Quentin Hamard; Minh-Tan Pham; Dorian Cazau; Karine Heerah (Ecol. Informatics, 2024)

Multimodal Supervised Contrastive Learning in Remote Sensing Downstream Tasks. - Paul Berg; Baki Uzun; Minh-Tan Pham; Nicolas Courty (IEEE Geosci. Remote. Sens. Lett., 2024)

Hyperbolic prototypical network for few shot remote sensing scene classification. - Manal Hamzaoui; Laetitia Chapel; Minh-Tan Pham; Sébastien Lefèvre (Pattern Recognit. Lett., 2024)

Towards Efficient Benchmarking of Foundation Models in Remote Sensing: A Capabilities Encoding Approach. - Pierre Adorni; Minh-Tan Pham; Stéphane May; Sébastien Lefèvre (CVPR Workshops, 2025)

YOLO-G3CF: Gaussian Contrastive Cross-Channel Fusion for Multimodal Object Detection. - Abdelbadie Belmouhcine; Minh-Tan Pham; Sébastien Lefèvre (IEEE Geosci. Remote. Sens. Lett., 2025)

FedShip: Federated Learning for Ship Detection From Multi-Source Satellite Images. - Anh-Kiet Duong; Tran Vu La; Hoàng-Ân Lê; Minh-Tan Pham (IEEE Geosci. Remote. Sens. Lett., 2025)

RESOUND: Speech Reconstruction from Silent Videos via Acoustic-Semantic Decomposed Modeling. - Long-Khanh Pham; Thanh V. T. Tran; Minh-Tan Pham; Van Nguyen (CoRR, 2025)

Contributions to Label-Efficient Learning in Computer Vision and Remote Sensing. - Minh-Tan Pham (CoRR, 2025)

FSMODNet: A Closer Look at Few-Shot Detection in Multispectral Data. - Manuel Nkegoum; Minh-Tan Pham; Élisa Fromont; Bruno Avignon; Sébastien Lefèvre (CoRR, 2025)