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Patrick Vandewalle
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2020 – today
- 2024
- [j8]Chen-Chou Lo
, Patrick Vandewalle
Expanding Sparse Radar Depth Based on Joint Bilateral Filter for Radar-Guided Monocular Depth Estimation. Sensors 24(6): 1864 (2024) - [c25]Xueyang Kang, Fengze Han, Abdur R. Fayjie, Patrick Vandewalle, Kourosh Khoshelham, Dong Gong:
FocDepthFormer: Transformer with Latent LSTM for Depth Estimation from Focal Stack. AI (1) 2024: 273-290 - [i5]Seong Hun Lee, Javier Civera, Patrick Vandewalle:
PCR-99: A Practical Method for Point Cloud Registration with 99% Outliers. CoRR abs/2402.16598 (2024) - [i4]Abdur R. Fayjie, Jutika Borah, Florencia Carbone, Jan Tack, Patrick Vandewalle:
Predictive uncertainty estimation in deep learning for lung carcinoma classification in digital pathology under real dataset shifts. CoRR abs/2408.08432 (2024) - 2023
- [c24]Loïc Dehan, Wiebe Van Ranst, Patrick Vandewalle:
Layered view synthesis for general images. 3DIA 2023: 1-6 - [c23]Abdur Razzaq Fayjie, Patrick Vandewalle:
Few-shot learning on point clouds for railroad segmentation. 3DIA 2023: 1-5 - [c22]Chen-Chou Lo
How much depth information can radar contribute to a depth estimation model? Autonomous Vehicles and Machines 2023: 1-7 - [c21]Chen-Chou Lo
RCDPT: Radar-Camera Fusion Dense Prediction Transformer. ICASSP 2023: 1-5 - [c20]Xueyang Kang, Ariel Herrera, Henry Lema, Esteban Valencia
Adaptive Sampling-based Particle Filter for Visual-inertial Gimbal in the Wild. ICRA 2023: 2738-2744 - 2022
- [c19]Loïc Dehan, Wiebe Van Ranst, Patrick Vandewalle
Complete and temporally consistent video outpainting. CVPR Workshops 2022: 686-694 - [c18]Yanming Wu
An Improved Approach to 6D Object Pose Tracking in Fast Motion Scenarios. IRC 2022: 229-237 - [i3]Chen-Chou Lo, Patrick Vandewalle:
How much depth information can radar infer and contribute. CoRR abs/2202.13220 (2022) - [i2]Chen-Chou Lo, Patrick Vandewalle:
RCDPT: Radar-Camera fusion Dense Prediction Transformer. CoRR abs/2211.02432 (2022) - 2021
- [c17]Chen-Chou Lo
Depth Estimation From Monocular Images And Sparse Radar Using Deep Ordinal Regression Network. ICIP 2021: 3343-3347 - [i1]Chen-Chou Lo, Patrick Vandewalle:
Depth Estimation from Monocular Images and Sparse radar using Deep Ordinal Regression Network. CoRR abs/2107.07596 (2021) - 2020
- [j7]Inge Coudron
Semantic Extraction of Permanent Structures for the Reconstruction of Building Interiors from Point Clouds. Sensors 20(23): 6916 (2020) - [c16]Umamaheswaran Raman Kumar
Quality assessment for 3D reconstruction of building interiors. 3DMDP 2020
2010 – 2019
- 2014
- [c15]Patrick Vandewalle
Disparity map quality for image-based rendering based on multiple metrics. IC3D 2014: 1-5 - 2013
- [c14]Jin Zhu, Patrick Vandewalle
Temporally consistent disparity estimation using PCA dual-cross-bilateral grid. SD&A 2013: 86480W - 2012
- [j6]Patrick Vandewalle
Code Sharing Is Associated with Research Impact in Image Processing. Comput. Sci. Eng. 14(4): 42-47 (2012) - [c13]Patrick Vandewalle
Supervised disparity estimation. SD&A 2012: 82880L - 2011
- [j5]Markus Rupp, Fulvio Gini, Ana I. Pérez-Neira
Reproducible research in signal processing. EURASIP J. Adv. Signal Process. 2011: 93 (2011) - [j4]Bogumil Bartczak, Patrick Vandewalle
Display-Independent 3D-TV Production and Delivery Using the Layered Depth Video Format. IEEE Trans. Broadcast. 57(2): 477-490 (2011) - 2010
- [c12]Chris Varekamp, Patrick Vandewalle
Measurement of feet-ground interaction for real-time person localization, step characterization, and gaming. MB 2010: 45:1-45:4
2000 – 2009
- 2009
- [j3]Patrick Vandewalle
Reproducible research in signal processing. IEEE Signal Process. Mag. 26(3): 37-47 (2009) - [c11]Dzevdet Burazerovic, Patrick Vandewalle
Automatic depth profiling of 2D cinema - and photographic images. ICIP 2009: 2365-2368 - 2008
- [c10]Patrick Vandewalle
Subspace-based methods for image registration and super-resolution. ICIP 2008: 645-648 - 2007
- [j2]Patrick Vandewalle
Super-Resolution From Unregistered and Totally Aliased Signals Using Subspace Methods. IEEE Trans. Signal Process. 55(7-2): 3687-3703 (2007) - [c9]Ali Ajdari Rad, Laurence Meylan, Patrick Vandewalle
Multidimensional image enhancement from a set of unregistered and differently exposed images. Computational Imaging 2007: 649808 - [c8]Patrick Vandewalle, Karim Krichane, David Alleysson, Sabine Süsstrunk:
Joint demosaicing and super-resolution imaging from a set of unregistered aliased images. Digital Photography 2007: 65020A - [c7]Patrick Vandewalle
Experiences with Reproducible Research in Various Facets of Signal Processing Research. ICASSP (4) 2007: 1253-1256 - 2006
- [j1]Patrick Vandewalle
A Frequency Domain Approach to Registration of Aliased Images with Application to Super-resolution. EURASIP J. Adv. Signal Process. 2006 (2006) - [c6]Flavien Volken, Johann Terrier, Patrick Vandewalle:
Automatic Red-Eye Removal based on Sclera and Skin Tone Detection. CGIV 2006: 359-364 - [c5]Patrick Vandewalle, Luciano Sbaiz, Martin Vetterli:
Signal Reconstruction From Multiple Unregistered Sets Of Samples Using Groebner Bases. ICASSP (3) 2006: 604-607 - 2005
- [c4]Patrick Vandewalle
Super-resolution from highly undersampled images. ICIP (1) 2005: 889-892 - 2004
- [c3]Patrick Vandewalle, Luciano Sbaiz, Joos Vandewalle, Martin Vetterli:
How to take advantage of aliasing in bandlimited signals. ICASSP (3) 2004: 948-951 - 2003
- [c2]Patrick Vandewalle, Filip Schutyser, Johan Van Cleynenbreugel, Paul Suetens:
Modelling of Facial Soft Tissue Growth for Maxillofacial Surgery Planning Environments. IS4TH 2003: 27-37 - [c1]Patrick Vandewalle, Sabine Süsstrunk, Martin Vetterli:
Superresolution images reconstructed from aliased images. VCIP 2003: 1398-1405
Coauthor Index
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