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Christophe De Vleeschouwer

Christophe De Vleeschouwer

D-Index & Metrics

Computer Science

D-Index
35
Citations
7393
World Ranking
11507
National Ranking
105

Overview

Christophe De Vleeschouwer is affiliated with the Université Catholique de Louvain in Belgium. Their research primarily spans the fields of Computer Science and Engineering, with notable emphasis on Computer Vision and Pattern Recognition, Artificial Intelligence, Control and Systems Engineering, Biomedical Engineering, and Aerospace Engineering.

The scientist's work covers a variety of specialized topics, including:

  • Advanced Neural Network Applications
  • Human Pose and Action Recognition
  • Anomaly Detection Techniques and Applications
  • Video Analysis and Summarization
  • Robotics and Sensor-Based Localization
  • Sports Analytics and Performance
  • Domain Adaptation and Few-Shot Learning

Christophe De Vleeschouwer has frequently collaborated with several researchers. Among the most common coauthors are Alexandre Alahi, Vladimir Somers, Seyed Abolfazl Ghasemzadeh, Marc Van Droogenbroeck, and Alexandre Englebert.

Their contributions have appeared in multiple publication venues, including:

  • arXiv (Cornell University)
  • 2023 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)
  • SSRN Electronic Journal
  • 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)
  • Applied Sciences

Recent papers authored or coauthored by Christophe De Vleeschouwer include:

  • "Body Part-Based Representation Learning for Occluded Person Re-Identification", 2023, published in 2023 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)
  • "Day and Night-Time Dehazing by Local Airlight Estimation", 2020, published in IEEE Transactions on Image Processing
  • "SoccerNet 2023 challenges results", 2024, published in Sports Engineering
  • "3D Ball Localization From A Single Calibrated Image", 2022, published in 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)
  • "Cross-Domain Data Augmentation for Deep-Learning-Based Male Pelvic Organ Segmentation in Cone Beam CT", 2020, published in Applied Sciences

Best Publications

  • Color Balance and Fusion for Underwater Image Enhancement

    Codruta O. Ancuti;Cosmin Ancuti;Christophe De Vleeschouwer;Philippe Bekaert

  • O-HAZE: A Dehazing Benchmark with Real Hazy and Haze-Free Outdoor Images

    Codruta O. Ancuti;Cosmin Ancuti;Radu Timofte;Christophe De Vleeschouwer

  • Circular interpretation of bijective transformations in lossless watermarking for media asset management

    C. De Vleeschouwer;J.-F. Delaigle;B. Macq

  • D-HAZY: A dataset to evaluate quantitatively dehazing algorithms

    Cosmin Ancuti;Codruta O. Ancuti;Christophe De Vleeschouwer

  • Watermarking algorithm based on a human visual model

    J. F. Delaigle;C. De Vleeschouwer;B. Macq

  • I-HAZE: A Dehazing Benchmark with Real Hazy and Haze-Free Indoor Images

    Cosmin Ancuti;Codruta O. Ancuti;Radu Timofte;Christophe De Vleeschouwer

  • Robust video hashing based on radial projections of key frames

    C. De Roover;C. De Vleeschouwer;F. Lefebvre;B. Macq

  • Invisibility and application functionalities in perceptual watermarking an overview

    C. De Vleeschouwer;J.-F. Delaigle;B. Macq

  • Overview on selective encryption of image and video: challenges and perspectives

    A. Massoudi;F. Lefebvre;C. De Vleeschouwer;B. Macq

  • Circular interpretation of histogram for reversible watermarking

    C. De Vleeschouwer;J.E. Delaigle;B. Macq

  • Body Part-Based Representation Learning for Occluded Person Re-Identification

    Unknown

  • Color Channel Compensation (3C): A Fundamental Pre-Processing Step for Image Enhancement

    Codruta O. Ancuti;Cosmin Ancuti;Christophe De Vleeschouwer;Mateu Sbert

  • Night-time dehazing by fusion

    Cosmin Ancuti;Codruta O. Ancuti;Christophe De Vleeschouwer;Alan C. Bovik

  • Detection and recognition of sports(wo)men from multiple views

    Damien Delannay;Nicolas Danhier;Christophe De Vleeschouwer

  • Receiver-driven bandwidth sharing for TCP

    Puneet Mehra;A. Zakhor;C. De Vleeschouwer

  • Human visual system features enabling watermarking

    J.F. Delaigle;C. Devleeschouwer;B. Macq;L. Langendijk

  • Quantized Iterative Hard Thresholding: Bridging 1-bit and High-Resolution Quantized Compressed Sensing

    Laurent Jacques;Kévin Degraux;Christophe De Vleeschouwer

  • Psychovisual approach to digital picture watermarking

    Jean-Francois Delaigle;Christophe De Vleeschouwer;Benoit M. M. Macq

  • Quantized Iterative Hard Thresholding: Bridging 1-bit and High-Resolution Quantized Compressed Sensing

    Laurent Jacques;Kévin Degraux;Christophe De Vleeschouwer

  • Day and Night-Time Dehazing by Local Airlight Estimation

    Cosmin Ancuti;Codruta O. Ancuti;Christophe De Vleeschouwer;Alan C. Bovik

  • I-HAZE: a dehazing benchmark with real hazy and haze-free indoor images

    Codruta O. Ancuti;Cosmin Ancuti;Radu Timofte;Christophe De Vleeschouwer

  • Subband dictionaries for low-cost matching pursuits of video residues

    C. De Vleeschouwer;B. Macq

  • An Autonomous Framework to Produce and Distribute Personalized Team-Sport Video Summaries: A Basketball Case Study

    Unknown

  • Receiver-driven bandwidth sharing for TCP and its application to video streaming

    P. Mehra;C. De Vleeschouwer;A. Zakhor

Frequent Co-Authors

Benoît Macq
Benoît Macq Université Catholique de Louvain
Pascal Frossard
Pascal Frossard École Polytechnique Fédérale de Lausanne
Rafael Garcia
Rafael Garcia Complutense University of Madrid
Alan C. Bovik
Alan C. Bovik The University of Texas at Austin
John Aldo Lee
John Aldo Lee Université Catholique de Louvain
Andrea Cavallaro
Andrea Cavallaro Queen Mary University of London
Radu Timofte
Radu Timofte University of Wurzburg
Denis L. J. Lafontaine
Denis L. J. Lafontaine Université Libre de Bruxelles
Eric Maire
Eric Maire Institut National des Sciences Appliquées de Lyon
Thomas Pardoen
Thomas Pardoen Université Catholique de Louvain

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