Minh-Tan Pham - RankMe

97 papers A* 1A 4B 2C 23Journal 55Unranked 7

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Leveraging Membership Inference Attacks for Privacy Measurement in Federated Learning for Remote Sensing Images. CoRR Anh-Kiet Duong, Petra Gomez-Krämer, Hoàng-Ân Lê, Minh-Tan Pham
2026	J	`jnl`	SIGMA: A Physics-Based Benchmark for Gas Chimney Understanding in Seismic Images. CoRR Bao Truong, Quang Nguyen, Baoru Huang, Jinpei Han, Van Nguyen, Ngan Le, Minh-Tan Pham, Doan Huy Hien, Anh Nguyen
2025	J	`jnl`	Adaptive federated learning for ship detection across diverse satellite imagery sources. CoRR Tran Vu La, Minh-Tan Pham, Yu Li, Patrick Matgen, Marco Chini
2025	J	`jnl`	Contributions to Label-Efficient Learning in Computer Vision and Remote Sensing. CoRR Minh-Tan Pham
2025	J	`jnl`	Enhancing deep learning performance on burned area delineation from SPOT-6/7 imagery for emergency management. CoRR Maria Rodriguez, Minh-Tan Pham, Martin Sudmanns, Quentin Poterek, Oscar Narvaez
2025	J	`jnl`	EoS-FM: Can an Ensemble of Specialist Models act as a Generalist Feature Extractor? CoRR Pierre Adorni, Minh-Tan Pham, Stéphane May, Sébastien Lefèvre
2025	J	`jnl`	FSMODNet: A Closer Look at Few-Shot Detection in Multispectral Data. CoRR Manuel Nkegoum, Minh-Tan Pham, Élisa Fromont, Bruno Avignon, Sébastien Lefèvre
2025	J	`jnl`	FedShip: Federated Learning for Ship Detection From Multi-Source Satellite Images. IEEE Geosci. Remote. Sens. Lett. Anh-Kiet Duong, Tran Vu La, Hoàng-Ân Lê, Minh-Tan Pham
2025	J	`jnl`	From Words to Wavelengths: VLMs for Few-Shot Multispectral Object Detection. CoRR Manuel Nkegoum, Minh-Tan Pham, Élisa Fromont, Bruno Avignon, Sébastien Lefèvre
2025	J	`jnl`	Multi-Prototype Hyperbolic Learning Guided by Class Hierarchy. Int. J. Comput. Vis. Paul Berg, Léo Buecher, Björn Michele, Minh-Tan Pham, Laetitia Chapel, Nicolas Courty
2025	A	`conf`	RESOUND: Speech Reconstruction from Silent Videos via Acoustic-Semantic Decomposed Modeling. INTERSPEECH Long-Khanh Pham, Thanh V. T. Tran, Minh-Tan Pham, Van Nguyen
2025	J	`jnl`	RESOUND: Speech Reconstruction from Silent Videos via Acoustic-Semantic Decomposed Modeling. CoRR Long-Khanh Pham, Thanh V. T. Tran, Minh-Tan Pham, Van Nguyen
2025	—	`conf`	Towards Efficient Benchmarking of Foundation Models in Remote Sensing: A Capabilities Encoding Approach. CVPR Workshops Pierre Adorni, Minh-Tan Pham, Stéphane May, Sébastien Lefèvre
2025	J	`jnl`	Towards Efficient Benchmarking of Foundation Models in Remote Sensing: A Capabilities Encoding Approach. CoRR Pierre Adorni, Minh-Tan Pham, Stéphane May, Sébastien Lefèvre
2025	J	`jnl`	YOLO-G3CF: Gaussian Contrastive Cross-Channel Fusion for Multimodal Object Detection. IEEE Geosci. Remote. Sens. Lett. Abdelbadie Belmouhcine, Minh-Tan Pham, Sébastien Lefèvre
2024	J	`jnl`	A deep learning model for detecting and classifying multiple marine mammal species from passive acoustic data. Ecol. Informatics Quentin Hamard, Minh-Tan Pham, Dorian Cazau, Karine Heerah
2024	A	`conf`	Box for Mask and Mask for Box: weak losses for multi-task partially supervised learning. BMVC Hoàng-Ân Lê, Paul Berg, Minh-Tan Pham
2024	J	`jnl`	Box for Mask and Mask for Box: weak losses for multi-task partially supervised learning. CoRR Hoàng-Ân Lê, Paul Berg, Minh-Tan Pham
2024	A	`conf`	Horospherical Learning with Smart Prototypes. BMVC Paul Berg, Björn Michele, Minh-Tan Pham, Laetitia Chapel, Nicolas Courty
2024	J	`jnl`	Hyperbolic prototypical network for few shot remote sensing scene classification. Pattern Recognit. Lett. Manal Hamzaoui, Laetitia Chapel, Minh-Tan Pham, Sébastien Lefèvre
2024	J	`jnl`	Insight Into the Collocation of Multi-Source Satellite Imagery for Multi-Scale Vessel Detection. CoRR Tran Vu La, Minh-Tan Pham, Marco Chini
2024	C	`conf`	Insight into the Collocation of Multi-Source Satellite Imagery for Multi-Scale Vessel Detection. IGARSS Tran Vu La, Minh-Tan Pham, Marco Chini
2024	C	`conf`	Leveraging Feature Communication in Federated Learning for Remote Sensing Image Classification. IGARSS Anh-Kiet Duong, Hoàng-Ân Lê, Minh-Tan Pham
2024	C	`conf`	Leveraging Knowledge Distillation for Partial Multi-Task Learning from Multiple Remote Sensing Datasets. IGARSS Hoàng-Ân Lê, Minh-Tan Pham
2024	J	`jnl`	Leveraging feature communication in federated learning for remote sensing image classification. CoRR Anh-Kiet Duong, Hoàng-Ân Lê, Minh-Tan Pham
2024	J	`jnl`	Leveraging knowledge distillation for partial multi-task learning from multiple remote sensing datasets. CoRR Hoàng-Ân Lê, Minh-Tan Pham
2024	C	`conf`	Mapping Earth Mounds from Space. IGARSS Baki Uzun, Shivam Pande, Gwendal Cachin-Bernard, Minh-Tan Pham, Sébastien Lefèvre, Rumsais Blatrix, Doyle McKey
2024	J	`jnl`	Mapping earth mounds from space. CoRR Baki Uzun, Shivam Pande, Gwendal Cachin-Bernard, Minh-Tan Pham, Sébastien Lefèvre, Rumsais Blatrix, Doyle McKey
2024	J	`jnl`	Multimodal Supervised Contrastive Learning in Remote Sensing Downstream Tasks. IEEE Geosci. Remote. Sens. Lett. Paul Berg, Baki Uzun, Minh-Tan Pham, Nicolas Courty
2024	C	`conf`	Plant Detection from Ultra High Resolution Remote Sensing Images: A Semantic Segmentation Approach Based on Fuzzy Loss. IGARSS Shivam Pande, Baki Uzun, Florent Guiotte, Minh-Tan Pham, Thomas Corpetti, Florian Delerue, Sébastien Lefèvre
2024	J	`jnl`	Variational Autoencoder for Anomaly Detection: A Comparative Study. CoRR Huy Hoang Nguyen, Cuong Nhat Nguyen, Xuan Tung Dao, Quoc Trung Duong, Dzung Pham Thi Kim, Minh-Tan Pham
2023	—	`conf`	Burnt Area Extraction from High-Resolution Satellite Images Based on Anomaly Detection. PKDD/ECML Workshops (3) Oscar David Rafael Narvaez Luces, Minh-Tan Pham, Quentin Poterek, Rémi Braun
2023	J	`jnl`	Burnt area extraction from high-resolution satellite images based on anomaly detection. CoRR Oscar David Rafael Narvaez Luces, Minh-Tan Pham, Quentin Poterek, Rémi Braun
2023	A	`conf`	Data exploitation: multi-task learning of object detection and semantic segmentation on partially annotated data. BMVC Hoàng-Ân Lê, Minh-Tan Pham
2023	J	`jnl`	Data exploitation: multi-task learning of object detection and semantic segmentation on partially annotated data. CoRR Hoàng-Ân Lê, Minh-Tan Pham
2023	C	`conf`	Hyperbolic Variational Auto-Encoder for Remote Sensing Scene Embeddings. IGARSS Manal Hamzaoui, Laetitia Chapel, Minh-Tan Pham, Sébastien Lefèvre
2023	C	`conf`	Joint Multi-Modal Self-Supervised Pre-Training in Remote Sensing: Application to Methane Source Classification. IGARSS Paul Berg, Minh-Tan Pham, Nicolas Courty
2023	J	`jnl`	Joint multi-modal Self-Supervised pre-training in Remote Sensing: Application to Methane Source Classification. CoRR Paul Berg, Minh-Tan Pham, Nicolas Courty
2023	C	`conf`	Knowledge Distillation for Object Detection: From Generic To Remote Sensing Datasets. IGARSS Hoàng-Ân Lê, Minh-Tan Pham
2023	J	`jnl`	Knowledge Distillation for Object Detection: from generic to remote sensing datasets. CoRR Hoàng-Ân Lê, Minh-Tan Pham
2023	C	`conf`	Multimodal Object Detection in Remote Sensing. IGARSS Abdelbadie Belmouhcine, Jean-Christophe Burnel, Luc Courtrai, Minh-Tan Pham, Sébastien Lefèvre
2023	J	`jnl`	Multimodal Object Detection in Remote Sensing. CoRR Abdelbadie Belmouhcine, Jean-Christophe Burnel, Luc Courtrai, Minh-Tan Pham, Sébastien Lefèvre
2023	C	`conf`	Object Counting from Aerial Remote Sensing Images: Application to Wildlife and Marine Mammals. IGARSS Tanya Singh, Hugo Gangloff, Minh-Tan Pham
2023	J	`jnl`	Object counting from aerial remote sensing images: application to wildlife and marine mammals. CoRR Tanya Singh, Hugo Gangloff, Minh-Tan Pham
2023	—	`ed.`	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. MACLEAN@PKDD/ECML Thomas Corpetti, Dino Ienco, Roberto Interdonato, Minh-Tan Pham, Sébastien Lefèvre
2023	J	`jnl`	Self-Training and Multi-Task Learning for Limited Data: Evaluation Study on Object Detection. CoRR Hoàng-Ân Lê, Minh-Tan Pham
2023	—	`conf`	Self-training and multi-task learning for limited data: evaluation study on object detection. ICCV (Workshops) Hoàng-Ân Lê, Minh-Tan Pham
2023	A*	`conf`	Spherical Sliced-Wasserstein. ICLR Clément Bonet, Paul Berg, Nicolas Courty, François Septier, Lucas Drumetz, Minh-Tan Pham
2023	B	`conf`	Unsupervised Anomaly Detection Using Variational Autoencoder with Gaussian Random Field Prior. ICIP Hugo Gangloff, Minh-Tan Pham, Luc Courtrai, Sébastien Lefèvre
2023	C	`conf`	Weakly Supervised Marine Animal Detection from Remote Sensing Images Using Vector-Quantized Variational Autoencoder. IGARSS Minh-Tan Pham, Hugo Gangloff, Sébastien Lefèvre
2023	J	`jnl`	Weakly supervised marine animal detection from remote sensing images using vector-quantized variational autoencoder. CoRR Minh-Tan Pham, Hugo Gangloff, Sébastien Lefèvre
2022	—	`conf`	A Hierarchical Prototypical Network for Few-Shot Remote Sensing Scene Classification. ICPRAI (2) Manal Hamzaoui, Laetitia Chapel, Minh-Tan Pham, Sébastien Lefèvre
2022	J	`jnl`	Learning Digital Terrain Models From Point Clouds: ALS2DTM Dataset and Rasterization-Based GAN. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. Hoàng-Ân Lê, Florent Guiotte, Minh-Tan Pham, Sébastien Lefèvre, Thomas Corpetti
2022	J	`jnl`	Learning Digital Terrain Models from Point Clouds: ALS2DTM Dataset and Rasterization-based GAN. CoRR Hoàng-Ân Lê, Florent Guiotte, Minh-Tan Pham, Sébastien Lefèvre, Thomas Corpetti
2022	B	`conf`	Leveraging Vector-Quantized Variational Autoencoder Inner Metrics for Anomaly Detection. ICPR Hugo Gangloff, Minh-Tan Pham, Luc Courtrai, Sébastien Lefèvre
2022	J	`jnl`	Mutual Guidance Meets Supervised Contrastive Learning: Vehicle Detection in Remote Sensing Images. Remote. Sens. Hoàng-Ân Lê, Heng Zhang, Minh-Tan Pham, Sébastien Lefèvre
2022	—	`ed.`	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. MACLEAN@PKDD/ECML Thomas Corpetti, Dino Ienco, Roberto Interdonato, Minh-Tan Pham, Sébastien Lefèvre
2022	J	`jnl`	Self-Supervised Learning for Scene Classification in Remote Sensing: Current State of the Art and Perspectives. Remote. Sens. Paul Berg, Minh-Tan Pham, Nicolas Courty
2022	J	`jnl`	Spherical Sliced-Wasserstein. CoRR Clément Bonet, Paul Berg, Nicolas Courty, François Septier, Lucas Drumetz, Minh-Tan Pham
2022	J	`jnl`	Watershed-Based Attribute Profiles With Semantic Prior Knowledge for Remote Sensing Image Analysis. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. Deise Santana Maia, Minh-Tan Pham, Sébastien Lefèvre
2022	J	`jnl`	Weakly Supervised Detection of Marine Animals in High Resolution Aerial Images. Remote. Sens. Paul Berg, Deise Santana Maia, Minh-Tan Pham, Sébastien Lefèvre
2021	—	`conf`	Watershed-Based Attribute Profiles for Pixel Classification of Remote Sensing Data. DGMM Deise Santana Maia, Minh-Tan Pham, Sébastien Lefèvre
2020	C	`conf`	A Compound Polarimetric-Textural Approach for Unsupervised Change Detection in Multi-Temporal Full-Pol SAR Imagery. IGARSS Davide Pirrone, Minh-Tan Pham
2020	—	`ed.`	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. MACLEAN@PKDD/ECML Thomas Corpetti, Dino Ienco, Roberto Interdonato, Minh-Tan Pham, Sébastien Lefèvre
2020	J	`jnl`	Semantic Segmentation of LiDAR Points Clouds: Rasterization Beyond Digital Elevation Models. IEEE Geosci. Remote. Sens. Lett. Florent Guiotte, Minh-Tan Pham, Romain Dambreville, Thomas Corpetti, Sébastien Lefèvre
2020	C	`conf`	Small Object Detection from Remote Sensing Images with the Help of Object-Focused Super-Resolution Using Wasserstein GANs. IGARSS Luc Courtrai, Minh-Tan Pham, Chloé Friguet, Sébastien Lefèvre
2020	J	`jnl`	Small Object Detection in Remote Sensing Images Based on Super-Resolution with Auxiliary Generative Adversarial Networks. Remote. Sens. Luc Courtrai, Minh-Tan Pham, Sébastien Lefèvre
2020	C	`conf`	Vehicle Detection and Counting from VHR Satellite Images: Efforts and Open Issues. IGARSS Alice Froidevaux, Andréa Julier, Agustin Lifschitz, Minh-Tan Pham, Romain Dambreville, Sébastien Lefèvre, Pierre Lassalle, Thanh-Long Huynh
2020	J	`jnl`	YOLO-Fine: One-Stage Detector of Small Objects Under Various Backgrounds in Remote Sensing Images. Remote. Sens. Minh-Tan Pham, Luc Courtrai, Chloé Friguet, Sébastien Lefèvre, Alexandre Baussard
2019	—	`ed.`	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. MACLEAN@PKDD/ECML Thomas Corpetti, Dino Ienco, Roberto Interdonato, Minh-Tan Pham, Sébastien Lefèvre
2019	J	`jnl`	Vehicle detection and counting from VHR satellite images: efforts and open issues. CoRR Alice Froidevaux, Andréa Julier, Agustin Lifschitz, Minh-Tan Pham, Romain Dambreville, Sébastien Lefèvre, Pierre Lassalle, Thanh-Long Huynh
2019	J	`jnl`	Very high resolution Airborne PolSAR Image Classification using Convolutional Neural Networks. CoRR Minh-Tan Pham, Sébastien Lefèvre
2018	J	`jnl`	Attribute Profiles on Derived Textural Features for Highly Textured Optical Image Classification. IEEE Geosci. Remote. Sens. Lett. Minh-Tan Pham, Sébastien Lefèvre, François Merciol
2018	C	`conf`	Buried Object Detection from B-Scan Ground Penetrating Radar Data Using Faster-RCNN. IGARSS Minh-Tan Pham, Sébastien Lefèvre
2018	J	`jnl`	Buried object detection from B-scan ground penetrating radar data using Faster-RCNN. CoRR Minh-Tan Pham, Sébastien Lefèvre
2018	C	`conf`	Classification of Remote Sensing Images Using Attribute Profiles and Feature Profiles from Different Trees: A Comparative Study. IGARSS Minh-Tan Pham, Erchan Aptoula, Sébastien Lefèvre
2018	J	`jnl`	Classification of remote sensing images using attribute profiles and feature profiles from different trees: a comparative study. CoRR Minh-Tan Pham, Erchan Aptoula, Sébastien Lefèvre
2018	—	`conf`	Efficient Texture Retrieval Using Multiscale Local Extrema Descriptors and Covariance Embedding. ECCV Workshops (4) Minh-Tan Pham
2018	J	`jnl`	Efficient texture retrieval using multiscale local extrema descriptors and covariance embedding. CoRR Minh-Tan Pham
2018	J	`jnl`	Feature Profiles from Attribute Filtering for Classification of Remote Sensing Images. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. Minh-Tan Pham, Erchan Aptoula, Sébastien Lefèvre
2018	J	`jnl`	Fusion of Polarimetric Features and Structural Gradient Tensors for VHR PolSAR Image Classification. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. Minh-Tan Pham
2018	J	`jnl`	Local Feature-Based Attribute Profiles for Optical Remote Sensing Image Classification. IEEE Trans. Geosci. Remote. Sens. Minh-Tan Pham, Sébastien Lefèvre, Erchan Aptoula
2018	J	`jnl`	Recent Developments from Attribute Profiles for Remote Sensing Image Classification. CoRR Minh-Tan Pham, Sébastien Lefèvre, Erchan Aptoula, Lorenzo Bruzzone
2017	C	`conf`	Classification of VHR remote sensing images using local feature-based attribute profiles. IGARSS Minh-Tan Pham, Sébastien Lefèvre, Erchan Aptoula, Bharath Bhushan Damodaran
2017	J	`jnl`	Color Texture Image Retrieval Based on Local Extrema Features and Riemannian Distance. J. Imaging Minh-Tan Pham, Grégoire Mercier, Lionel Bombrun
2017	C	`conf`	Quasi-Flat Zones for Angular Data Simplification. ISMM Erchan Aptoula, Minh-Tan Pham, Sébastien Lefèvre
2017	C	`conf`	SAR image texture tracking using a pointwise graph-based model for glacier displacement measurement. IGARSS Minh-Tan Pham, Grégoire Mercier, Emmanuel Trouvé, Sébastien Lefèvre
2016	J	`jnl`	Change Detection Between SAR Images Using a Pointwise Approach and Graph Theory. IEEE Trans. Geosci. Remote. Sens. Minh-Tan Pham, Grégoire Mercier, Julien Michel
2016	J	`jnl`	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. Minh-Tan Pham, Grégoire Mercier, Julien Michel
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	J	`jnl`	Texture Retrieval from VHR Optical Remote Sensed Images Using the Local Extrema Descriptor with Application to Vineyard Parcel Detection. Remote. Sens. Minh-Tan Pham, Grégoire Mercier, Olivier Regniers, Julien Michel
2016	C	`conf`	Texture retrieval from very high resolution remote sensing images using local extrema-based descriptors. IGARSS Minh-Tan Pham, Grégoire Mercier, Olivier Regniers, Lionel Bombrun, Julien Michel
2015	—	`conf`	A keypoint approach for change detection between SAR images based on graph theory. MultiTemp Minh-Tan Pham, Grégoire Mercier, Julien Michel
2015	C	`conf`	Covariance-based texture description from weighted coherency matrix and gradient tensors for polarimetric SAR image classification. IGARSS Minh-Tan Pham, Grégoire Mercier, Julien Michel
2015	J	`jnl`	Pointwise Graph-Based Local Texture Characterization for Very High Resolution Multispectral Image Classification. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. Minh-Tan Pham, Grégoire Mercier, Julien Michel
2015	C	`conf`	Pointwise approach on covariance matrix of oriented gradients for very high resolution image texture segmentation. IGARSS Minh-Tan Pham, Grégoire Mercier, Julien Michel
2014	C	`conf`	Wavelets on graphs for very high resolution multispectral image texture segmentation. IGARSS Minh-Tan Pham, Grégoire Mercier, Julien Michel