Search Results - "Tan, Pham Minh"

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

“…Object detection from aerial and satellite remote sensing images has been an active research topic over the past decade. Thanks to the increase in…”
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Small Object Detection in Remote Sensing Images Based on Super-Resolution with Auxiliary Generative Adversarial Networks by Courtrai, Luc, Pham, Minh-Tan, Lefèvre, Sébastien

“…This article tackles the problem of detecting small objects in satellite or aerial remote sensing images by relying on super-resolution to increase image…”
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Self-Supervised Learning for Scene Classification in Remote Sensing: Current State of the Art and Perspectives by Berg, Paul, Pham, Minh-Tan, Courty, Nicolas

“…Deep learning methods have become an integral part of computer vision and machine learning research by providing significant improvement performed in many…”
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Local Feature-Based Attribute Profiles for Optical Remote Sensing Image Classification by Pham, Minh-Tan, Lefevre, Sebastien, Aptoula, Erchan

“…This paper introduces an extension of morphological attribute profiles (APs) by extracting their local features. The so-called local feature-based APs (LFAPs)…”
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Development of Antimicrobial and Antifouling Universal Coating via Rapid Deposition of Polydopamine and Zwitterionization by Fan, Yu-Jhen, Pham, Minh Tan, Huang, Chun-Jen

“…Biomaterials-associated infections (BAIs) are related to bacterial colonization on medical devices, which lead to a serious medical burden, such as increased…”
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Hyperbolic prototypical network for few shot remote sensing scene classification by Hamzaoui, Manal, Chapel, Laetitia, Pham, Minh-Tan, Lefèvre, Sébastien

“…Recently, in the computer vision and machine learning (ML) communities, a growing interest has been directed to similarity measures operating in hyperbolic…”
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Multimodal Supervised Contrastive Learning in Remote Sensing Downstream Tasks by Berg, Paul, Uzun, Baki, Pham, Minh-Tan, Courty, Nicolas

“…To leverage the large amount of unlabelled data available in remote sensing datasets, self-supervised learning (SSL) methods have recently emerged as an…”
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Semantic Segmentation of LiDAR Points Clouds: Rasterization Beyond Digital Elevation Models by Guiotte, Florent, Pham, Minh-Tan, Dambreville, Romain, Corpetti, Thomas, Lefevre, Sebastien

“…LiDAR point clouds are receiving a growing interest in remote sensing as they provide rich information to be used independently or together with optical data…”
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Weakly Supervised Detection of Marine Animals in High Resolution Aerial Images by Berg, Paul, Santana Maia, Deise, Pham, Minh-Tan, Lefèvre, Sébastien

“…Human activities in the sea, such as intensive fishing and exploitation of offshore wind farms, may impact negatively on the marine mega fauna. As an attempt…”
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PW-COG: An Effective Texture Descriptor for VHR Satellite Imagery Using a Pointwise Approach on Covariance Matrix of Oriented Gradients by Minh-Tan Pham, Mercier, Gregoire, Michel, Julien

“…In this paper, a novel algorithm for textural feature description in very high resolution (VHR) satellite imagery is developed. It is based on a pointwise (PW)…”
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Fusion of Polarimetric Features and Structural Gradient Tensors for VHR PolSAR Image Classification by Pham, Minh-Tan

“…This paper proposes a fast texture based supervised classification framework for fully polarimetric synthetic aperture radar (PolSAR) images with very high…”
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Attribute Profiles on Derived Textural Features for Highly Textured Optical Image Classification by Pham, Minh-Tan, Lefevre, Sebastien, Merciol, Francois

“…Morphological attribute profiles (APs) have thus far been proven effective for remote sensing image classification by several research studies. However, recent…”
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Watershed-Based Attribute Profiles With Semantic Prior Knowledge for Remote Sensing Image Analysis by Maia, Deise Santana, Pham, Minh-Tan, Lefevre, Sebastien

“…In this article, we develop a novel feature extraction method that combines two well-established mathematical morphology concepts: watersheds and morphological…”
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Learning Digital Terrain Models From Point Clouds: ALS2DTM Dataset and Rasterization-Based GAN by Le, Hoang-An, Guiotte, Florent, Pham, Minh-Tan, Lefevre, Sebastien, Corpetti, Thomas

“…Despite the popularity of deep neural networks in various domains, the extraction of digital terrain models (DTMs) from airborne laser scanning (ALS) point…”
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Mutual Guidance Meets Supervised Contrastive Learning: Vehicle Detection in Remote Sensing Images by Lê, Hoàng-Ân, Zhang, Heng, Pham, Minh-Tan, Lefèvre, Sébastien

“…Vehicle detection is an important but challenging problem in Earth observation due to the intricately small sizes and varied appearances of the objects of…”
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Feature Profiles from Attribute Filtering for Classification of Remote Sensing Images by Pham, Minh-Tan, Aptoula, Erchan, Lefevre, Sebastien

“…This paper proposes a novel extension of morphological attribute profiles (APs) for classification of remote sensing data. In standard AP-based approaches, an…”
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The determinants of tax revenue: A study of Southeast Asia by Minh Ha, Nguyen, Tan Minh, Pham, Binh, Quan Minh Quoc

“…This study identifies the determinants of tax revenue in Southeast Asia based on a balanced dataset of eight countries. By employing static (pooled Ordinary…”
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Unsupervised Anomaly Detection Using Variational Autoencoder with Gaussian Random Field Prior by Gangloff, Hugo, Pham, Minh-Tan, Courtrai, Luc, Lefevre, Sebastien

“…We propose a new model of Variational Autoencoder (VAE) for Anomaly Detection (AD) with improved modeling power. More precisely, we introduce a VAE model with…”
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Electroosmotic Coupling in Porous Media, a New Model Based on a Fractal Upscaling Procedure by Thanh, Luong Duy, Jougnot, Damien, Van Do, Phan, Mendieta, Aida, Ca, Nguyen Xuan, Hoa, Vu Xuan, Tan, Pham Minh, Hien, Nguyen Thi

“…Electrokinetic and electroosmotic couplings can play important roles in water and ions transport in charged porous media. Electroosmosis is the phenomena…”
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Color Texture Image Retrieval Based on Local Extrema Features and Riemannian Distance by Pham, Minh-Tan, Mercier, Grégoire, Bombrun, Lionel

“…A novel efficient method for content-based image retrieval (CBIR) is developed in this paper using both texture and color features. Our motivation is to…”
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