Minh-Tan Pham
Orcid: 0000-0003-0266-767X
According to our database1,
Minh-Tan Pham
authored at least 51 papers
between 2014 and 2024.
Collaborative distances:
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Bibliography
2024
Pattern Recognit. Lett., January, 2024
Insight Into the Collocation of Multi-Source Satellite Imagery for Multi-Scale Vessel Detection.
CoRR, 2024
Leveraging feature communication in federated learning for remote sensing image classification.
CoRR, 2024
2023
Burnt area extraction from high-resolution satellite images based on anomaly detection.
CoRR, 2023
Object Counting from Aerial Remote Sensing Images: Application to Wildlife and Marine Mammals.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023
Weakly Supervised Marine Animal Detection from Remote Sensing Images Using Vector-Quantized Variational Autoencoder.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023
Knowledge Distillation for Object Detection: From Generic To Remote Sensing Datasets.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023
Joint Multi-Modal Self-Supervised Pre-Training in Remote Sensing: Application to Methane Source Classification.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023
Proceedings of the Eleventh International Conference on Learning Representations, 2023
Unsupervised Anomaly Detection Using Variational Autoencoder with Gaussian Random Field Prior.
Proceedings of the IEEE International Conference on Image Processing, 2023
Self-training and multi-task learning for limited data: evaluation study on object detection.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023
Data exploitation: multi-task learning of object detection and semantic segmentation on partially annotated data.
Proceedings of the 34th British Machine Vision Conference 2023, 2023
2022
Watershed-Based Attribute Profiles With Semantic Prior Knowledge for Remote Sensing Image Analysis.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2022
Learning Digital Terrain Models From Point Clouds: ALS2DTM Dataset and Rasterization-Based GAN.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2022
Mutual Guidance Meets Supervised Contrastive Learning: Vehicle Detection in Remote Sensing Images.
Remote. Sens., 2022
Self-Supervised Learning for Scene Classification in Remote Sensing: Current State of the Art and Perspectives.
Remote. Sens., 2022
Remote. Sens., 2022
A Hierarchical Prototypical Network for Few-Shot Remote Sensing Scene Classification.
Proceedings of the Pattern Recognition and Artificial Intelligence, 2022
Leveraging Vector-Quantized Variational Autoencoder Inner Metrics for Anomaly Detection.
Proceedings of the 26th International Conference on Pattern Recognition, 2022
2021
Proceedings of the Discrete Geometry and Mathematical Morphology, 2021
2020
YOLO-Fine: One-Stage Detector of Small Objects Under Various Backgrounds in Remote Sensing Images.
Remote. Sens., 2020
Small Object Detection in Remote Sensing Images Based on Super-Resolution with Auxiliary Generative Adversarial Networks.
Remote. Sens., 2020
Semantic Segmentation of LiDAR Points Clouds: Rasterization Beyond Digital Elevation Models.
IEEE Geosci. Remote. Sens. Lett., 2020
A Compound Polarimetric-Textural Approach for Unsupervised Change Detection in Multi-Temporal Full-Pol SAR Imagery.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2020
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2020
Small Object Detection from Remote Sensing Images with the Help of Object-Focused Super-Resolution Using Wasserstein GANs.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2020
2019
Very high resolution Airborne PolSAR Image Classification using Convolutional Neural Networks.
CoRR, 2019
2018
Local Feature-Based Attribute Profiles for Optical Remote Sensing Image Classification.
IEEE Trans. Geosci. Remote. Sens., 2018
Feature Profiles from Attribute Filtering for Classification of Remote Sensing Images.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2018
Fusion of Polarimetric Features and Structural Gradient Tensors for VHR PolSAR Image Classification.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2018
Attribute Profiles on Derived Textural Features for Highly Textured Optical Image Classification.
IEEE Geosci. Remote. Sens. Lett., 2018
CoRR, 2018
Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018
Classification of Remote Sensing Images Using Attribute Profiles and Feature Profiles from Different Trees: A Comparative Study.
Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018
Efficient Texture Retrieval Using Multiscale Local Extrema Descriptors and Covariance Embedding.
Proceedings of the Computer Vision - ECCV 2018 Workshops, 2018
2017
Color Texture Image Retrieval Based on Local Extrema Features and Riemannian Distance.
J. Imaging, 2017
Proceedings of the Mathematical Morphology and Its Applications to Signal and Image Processing, 2017
SAR image texture tracking using a pointwise graph-based model for glacier displacement measurement.
Proceedings of the 2017 IEEE International Geoscience and Remote Sensing Symposium, 2017
Classification of VHR remote sensing images using local feature-based attribute profiles.
Proceedings of the 2017 IEEE International Geoscience and Remote Sensing Symposium, 2017
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).
PhD thesis, 2016
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., 2016
IEEE Trans. Geosci. Remote. Sens., 2016
Texture Retrieval from VHR Optical Remote Sensed Images Using the Local Extrema Descriptor with Application to Vineyard Parcel Detection.
Remote. Sens., 2016
Texture retrieval from very high resolution remote sensing images using local extrema-based descriptors.
Proceedings of the 2016 IEEE International Geoscience and Remote Sensing Symposium, 2016
2015
Pointwise Graph-Based Local Texture Characterization for Very High Resolution Multispectral Image Classification.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2015
Proceedings of the 8th International Workshop on the Analysis of Multitemporal Remote Sensing Images, 2015
Covariance-based texture description from weighted coherency matrix and gradient tensors for polarimetric SAR image classification.
Proceedings of the 2015 IEEE International Geoscience and Remote Sensing Symposium, 2015
Pointwise approach on covariance matrix of oriented gradients for very high resolution image texture segmentation.
Proceedings of the 2015 IEEE International Geoscience and Remote Sensing Symposium, 2015
2014
Wavelets on graphs for very high resolution multispectral image texture segmentation.
Proceedings of the 2014 IEEE Geoscience and Remote Sensing Symposium, 2014