Modelling of Facial Soft Tissue Growth for Maxillofacial Surgery Planning Environments. - Patrick Vandewalle; Filip Schutyser; Johan Van Cleynenbreugel; Paul Suetens (IS4TH, 2003)

Superresolution images reconstructed from aliased images. - Patrick Vandewalle; Sabine Süsstrunk; Martin Vetterli (VCIP, 2003)

How to take advantage of aliasing in bandlimited signals. - Patrick Vandewalle; Luciano Sbaiz; Joos Vandewalle; Martin Vetterli (ICASSP (3), 2004)

Super-resolution from highly undersampled images. - Patrick Vandewalle; Luciano Sbaiz; Martin Vetterli; Sabine Süsstrunk (ICIP (1), 2005)

Automatic Red-Eye Removal based on Sclera and Skin Tone Detection. - Flavien Volken; Johann Terrier; Patrick Vandewalle (CGIV, 2006)

Signal Reconstruction From Multiple Unregistered Sets Of Samples Using Groebner Bases. - Patrick Vandewalle; Luciano Sbaiz; Martin Vetterli (ICASSP (3), 2006)

A Frequency Domain Approach to Registration of Aliased Images with Application to Super-resolution. - Patrick Vandewalle; Sabine Süsstrunk; Martin Vetterli (EURASIP J. Adv. Signal Process., 2006)

Multidimensional image enhancement from a set of unregistered and differently exposed images. - Ali Ajdari Rad; Laurence Meylan; Patrick Vandewalle; Sabine Süsstrunk (Computational Imaging, 2007)

Joint demosaicing and super-resolution imaging from a set of unregistered aliased images. - Patrick Vandewalle; Karim Krichane; David Alleysson; Sabine Süsstrunk (Digital Photography, 2007)

Experiences with Reproducible Research in Various Facets of Signal Processing Research. - Patrick Vandewalle; Guillermo Barrenetxea; Ivana Jovanovic; Andrea Ridolfi; Martin Vetterli (ICASSP (4), 2007)

Super-Resolution From Unregistered and Totally Aliased Signals Using Subspace Methods. - Patrick Vandewalle; Luciano Sbaiz; Joos Vandewalle; Martin Vetterli (IEEE Trans. Signal Process., 2007)

Subspace-based methods for image registration and super-resolution. - Patrick Vandewalle; Loïc Baboulaz; Pier Luigi Dragotti; Martin Vetterli (ICIP, 2008)

Automatic depth profiling of 2D cinema - and photographic images. - Dzevdet Burazerovic; Patrick Vandewalle; Robert-Paul Berretty (ICIP, 2009)

Reproducible research in signal processing. - Patrick Vandewalle; Jelena Kovacevic; Martin Vetterli (IEEE Signal Process. Mag., 2009)

Measurement of feet-ground interaction for real-time person localization, step characterization, and gaming. - Chris Varekamp; Patrick Vandewalle (MB, 2010)

Reproducible research in signal processing. - Markus Rupp; Fulvio Gini; Ana I. Pérez-Neira; Béatrice Pesquet-Popescu; Aggelos Pikrakis; Bülent Sankur; Patrick Vandewalle; Abdelhak M. Zoubir (EURASIP J. Adv. Signal Process., 2011)

Display-Independent 3D-TV Production and Delivery Using the Layered Depth Video Format. - Bogumil Bartczak; Patrick Vandewalle; Oliver Grau; Gérard Briand; Jérôme Fournier; Paul Kerbiriou; Michael Murdoch; Marcus Müller 001; Rocco Goris; Reinhard Koch; René J. van der Vleuten (IEEE Trans. Broadcast., 2011)

Supervised disparity estimation. - Patrick Vandewalle; Chris Varekamp (SD&A, 2012)

Code Sharing Is Associated with Research Impact in Image Processing. - Patrick Vandewalle (Comput. Sci. Eng., 2012)

Temporally consistent disparity estimation using PCA dual-cross-bilateral grid. - Jin Zhu; Patrick Vandewalle; Gerard de Haan (SD&A, 2013)

Disparity map quality for image-based rendering based on multiple metrics. - Patrick Vandewalle; Chris Varekamp (IC3D, 2014)

Quality assessment for 3D reconstruction of building interiors. - Umamaheswaran Raman Kumar; Inge Coudron; Steven Puttemans; Patrick Vandewalle (3DMDP, 2020)

Semantic Extraction of Permanent Structures for the Reconstruction of Building Interiors from Point Clouds. - Inge Coudron; Steven Puttemans; Toon Goedemé; Patrick Vandewalle (Sensors, 2020)

Depth Estimation From Monocular Images And Sparse Radar Using Deep Ordinal Regression Network. - Chen-Chou Lo; Patrick Vandewalle (ICIP, 2021)

Complete and temporally consistent video outpainting. - Loïc Dehan; Wiebe Van Ranst; Patrick Vandewalle; Toon Goedemé (CVPR Workshops, 2022)

An Improved Approach to 6D Object Pose Tracking in Fast Motion Scenarios. - Yanming Wu; Patrick Vandewalle; Peter Slaets; Eric Demeester (IRC, 2022)

How much depth information can radar infer and contribute. - Chen-Chou Lo; Patrick Vandewalle (CoRR, 2022)

Layered view synthesis for general images. - Loïc Dehan; Wiebe Van Ranst; Patrick Vandewalle (3DIA, 2023)

Few-shot learning on point clouds for railroad segmentation. - Abdur Razzaq Fayjie; Patrick Vandewalle (3DIA, 2023)

How much depth information can radar contribute to a depth estimation model? - Chen-Chou Lo; Patrick Vandewalle (Autonomous Vehicles and Machines, 2023)

RCDPT: Radar-Camera Fusion Dense Prediction Transformer. - Chen-Chou Lo; Patrick Vandewalle (ICASSP, 2023)

Adaptive Sampling-based Particle Filter for Visual-inertial Gimbal in the Wild. - Xueyang Kang; Ariel Herrera; Henry Lema; Esteban Valencia; Patrick Vandewalle (ICRA, 2023)

FocDepthFormer: Transformer with Latent LSTM for Depth Estimation from Focal Stack. - Xueyang Kang; Fengze Han; Abdur Razzaq Fayjie; Patrick Vandewalle; Kourosh Khoshelham; Dong Gong (AI (1), 2024)

BelHouse3D: A Benchmark Dataset for Assessing Occlusion Robustness in 3D Point Cloud Semantic Segmentation. - Umamaheswaran Raman Kumar; Abdur Razzaq Fayjie; Jurgen Hannaert; Patrick Vandewalle (ECCV Workshops (18), 2024)

PCR-99: A Practical Method for Point Cloud Registration with 99 Percent Outliers. - Seong Hun Lee; Javier Civera 001; Patrick Vandewalle (ECCV Workshops (1), 2024)

Similarity-Weighted IoU (sIOU): A Comprehensive Metric for Evaluating Model Performance Through Similarity-Weighted Class Overlaps. - Umamaheswaran Raman Kumar; Patrick Vandewalle (ICIP, 2024)

PCR-99: A Practical Method for Point Cloud Registration with 99% Outliers. - Seong Hun Lee; Javier Civera 001; Patrick Vandewalle (CoRR, 2024)

Predictive uncertainty estimation in deep learning for lung carcinoma classification in digital pathology under real dataset shifts. - Abdur Razzaq Fayjie; Jutika Borah; Florencia Carbone; Jan Tack; Patrick Vandewalle (CoRR, 2024)

Expanding Sparse Radar Depth Based on Joint Bilateral Filter for Radar-Guided Monocular Depth Estimation. - Chen-Chou Lo; Patrick Vandewalle (Sensors, 2024)

MuSt-NeRF: A Multi-Stage NeRF Pipeline to Enhance Novel View Synthesis. - Sudarshan Raghavan Iyengar; Subash Sharma; Patrick Vandewalle (VISIGRAPP (2): VISAPP, 2025)

An Open-source UAV Digital Twin framework: A Case Study on Remote Sensing in the Andean Mountains. - Esteban Valencia; Francisco Toapanta; Gabriel Oña; Andrey Carrillo; Daniel Aláez; Erick S. Loyaga; William Chamorro; Patricio Cruz; Jackeline Abad Torres; Patrick Vandewalle (J. Intell. Robotic Syst., 2025)