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Wilfried Philips

Wilfried Philips

D-Index & Metrics

Computer Science

D-Index
56
Citations
15327
World Ranking
4014
National Ranking
43

Overview

Wilfried Philips is affiliated with Ghent University in Belgium and focuses on research in the fields of Computer Science and Engineering. Their scholarly contributions encompass over one hundred publications, primarily in Computer Vision and Pattern Recognition as well as Media Technology.

The scientist's recent publications illustrate a sustained interest in remote sensing and image processing techniques. Selected papers include:

  • Joint Classification of Hyperspectral and LiDAR Data Using Hierarchical Random Walk and Deep CNN Architecture (2020), IEEE Transactions on Geoscience and Remote Sensing
  • Spatial-Spectral Structured Sparse Low-Rank Representation for Hyperspectral Image Super-Resolution (2021), IEEE Transactions on Image Processing
  • Fractional Fourier Image Transformer for Multimodal Remote Sensing Data Classification (2022), IEEE Transactions on Neural Networks and Learning Systems
  • Fractional Gabor Convolutional Network for Multisource Remote Sensing Data Classification (2021), IEEE Transactions on Geoscience and Remote Sensing
  • Region-Based CNN for Anomaly Detection in PV Power Plants Using Aerial Imagery (2022), Sensors

Their frequent co-authors are:

  • Hiêp Luong
  • Jan Aelterman
  • Peter Veelaert
  • Haijin Zeng
  • Wenzhi Liao

Wilfried Philips has contributed notably to journals such as Sensors, arXiv (Cornell University), IEEE Transactions on Geoscience and Remote Sensing, IEEE Transactions on Neural Networks and Learning Systems, and IEEE Sensors Journal. The volume of publications in these venues suggests a recurring engagement with topics involving sensor technologies and neural network methodologies related to imaging.

Their research covers a range of topics within advanced imaging and remote sensing, including:

  • Advanced Image Fusion Techniques
  • Video Surveillance and Tracking Methods
  • Image and Signal Denoising Methods
  • Image Enhancement Techniques
  • Advanced Neural Network Applications
  • Advanced Vision and Imaging
  • Remote-Sensing Image Classification

Additionally, Wilfried Philips has been involved with book publications through Springer Science+Business Media, contributing to the volume titled Advanced Concepts for Intelligent Vision Systems published in 2020.

Best Publications

  • MRI Segmentation of the Human Brain: Challenges, Methods, and Applications

    Ivana Despotović;Bart Goossens;Wilfried Philips

  • A versatile wavelet domain noise filtration technique for medical imaging

    A. Pizurica;W. Philips;I. Lemahieu;M. Acheroy

  • Hyperspectral and LiDAR Data Fusion: Outcome of the 2013 GRSS Data Fusion Contest

    Christian Debes;Andreas Merentitis;Roel Heremans;Jürgen T. Hahn

  • Estimating the probability of the presence of a signal of interest in multiresolution single- and multiband image denoising

    A. Pizurica;W. Philips

  • Noise reduction by fuzzy image filtering

    D. Van De Ville;M. Nachtegael;D. Van der Weken;E.E. Kerre

  • A joint inter- and intrascale statistical model for Bayesian wavelet based image denoising

    A. Pizurica;W. Philips;I. Lemahieu;M. Acheroy

  • Processing of Multiresolution Thermal Hyperspectral and Digital Color Data: Outcome of the 2014 IEEE GRSS Data Fusion Contest

    Wenzhi Liao;Xin Huang;Frieke Van Coillie;Sidharta Gautama

  • A review of wavelet denoising in MRI and ultrasound brain imaging

    Aleksandra Pizurica;Alle M. Wink;Ewout Vansteenkiste;Wilfried Philips

  • An imaging system with calibrated color image acquisition for use in dermatology

    Y.V. Haeghen;J.M.A.D. Naeyaert;I. Lemahieu;W. Philips

  • A review of urban air pollution monitoring and exposure assessment methods

    Xingzhe Xie;Ivana Semanjski;Sidharta Gautama;Evangelia Tsiligianni

  • Semisupervised Local Discriminant Analysis for Feature Extraction in Hyperspectral Images

    Wenzhi Liao;A. Pizurica;P. Scheunders;W. Philips

  • Joint Classification of Hyperspectral and LiDAR Data Using Hierarchical Random Walk and Deep CNN Architecture

    Xudong Zhao;Ran Tao;Wei Li;Heng-Chao Li

  • Generalized Graph-Based Fusion of Hyperspectral and LiDAR Data Using Morphological Features

    Wenzhi Liao;Aleksandra Pizurica;Rik Bellens;Sidharta Gautama

  • Spatial-Spectral Structured Sparse Low-Rank Representation for Hyperspectral Image Super-Resolution

    Jize Xue;Yong-Qiang Zhao;Yuanyang Bu;Wenzhi Liao

  • An improved non-local denoising algorithm

    Bart Goossens;Hiep Luong;Aleksandra Pizurica;Wilfried Philips

  • Rosette Tracker: An Open Source Image Analysis Tool for Automatic Quantification of Genotype Effects

    Jonas De Vylder;Filip J. Vandenbussche;Yuming Hu;Wilfried Philips

  • Improved Classification of VHR Images of Urban Areas Using Directional Morphological Profiles

    Rik Bellens;Sidharta Gautama;Leyden Martinez-Fonte;Wilfried Philips

  • The effect of Gibbs ringing artifacts on measures derived from diffusion MRI.

    Daniele Perrone;Jan Aelterman;Aleksandra Pižurica;Ben Jeurissen

  • Hex-splines: a novel spline family for hexagonal lattices

    D. Van De Ville;T. Blu;M. Unser;W. Philips

  • Channelized Hotelling observers for the assessment of volumetric imaging data sets

    Ljiljana Platiša;Bart Goossens;Ewout Vansteenkiste;Subok Park

  • Wavelet-Domain Video Denoising Based on Reliability Measures

    V. Zlokolica;A. Pizurica;W. Philips

Frequent Co-Authors

Aleksandra Pizurica
Aleksandra Pizurica Ghent University
Wenzhi Liao
Wenzhi Liao Ghent University
Paul Scheunders
Paul Scheunders University of Antwerp
Dimitri Van De Ville
Dimitri Van De Ville École Polytechnique Fédérale de Lausanne
Etienne Kerre
Etienne Kerre Ghent University
Yvan Saeys
Yvan Saeys Ghent University
Rik Van de Walle
Rik Van de Walle Ghent University
Jan Sijbers
Jan Sijbers University of Antwerp
Dirk Inzé
Dirk Inzé Ghent University

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