World's Best Scientists 2026 revealed!
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Best Scientists
2025
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Computer Science
Switzerland
2025

D-Index & Metrics

Best Scientists

D-Index
191
Citations
215966
World Ranking
393
National Ranking
1

Computer Science

D-Index
200
Citations
227944
World Ranking
3
National Ranking
1

Research.com Recognitions

  • 2025 - Research.com Best Scientists Award
  • 2025 - Research.com Computer Science in Switzerland Leader Award
  • 2023 - Research.com Computer Science in Switzerland Leader Award
  • 2022 - Research.com Computer Science in Switzerland Leader Award

Overview

Luc Van Gool is affiliated with the Institute for Computer Science, Artificial Intelligence and Technology (INSAIT) in Bulgaria. Their research primarily spans fields such as Computer Science and Engineering, with a strong focus on subfields including Computer Vision and Pattern Recognition, Artificial Intelligence, Media Technology, Aerospace Engineering, and Computational Mechanics.

Their scholarly work is concentrated on several main topics, including:

  • Advanced Neural Network Applications
  • Domain Adaptation and Few-Shot Learning
  • Advanced Vision and Imaging
  • Multimodal Machine Learning Applications
  • Advanced Image Processing Techniques
  • Advanced Image and Video Retrieval Techniques
  • Generative Adversarial Networks and Image Synthesis

Luc Van Gool has published extensively, with notable recent papers such as:

  • "RePaint: Inpainting using Denoising Diffusion Probabilistic Models" (2022), presented at the 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • "Multi-Task Learning for Dense Prediction Tasks: A Survey" (2021), published in IEEE Transactions on Pattern Analysis and Machine Intelligence
  • "Exploring Cross-Image Pixel Contrast for Semantic Segmentation" (2021), featured in the 2021 IEEE/CVF International Conference on Computer Vision (ICCV)
  • "DAFormer: Improving Network Architectures and Training Strategies for Domain-Adaptive Semantic Segmentation" (2022), presented at the 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • "Transforming Model Prediction for Tracking" (2022), also presented at the 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

The venues in which Luc Van Gool frequently publishes include:

  • arXiv (Cornell University)
  • 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • IEEE Transactions on Pattern Analysis and Machine Intelligence
  • 2021 IEEE/CVF International Conference on Computer Vision (ICCV)
  • International Journal of Computer Vision

Collaborations form an important aspect of this scientist's work, with frequent co-authors including:

  • Radu Timofte
  • Dengxin Dai
  • Danda Pani Paudel
  • Martin Danelljan
  • Christos Sakaridis

Best Publications

  • The Pascal Visual Object Classes (VOC) Challenge

    Mark Everingham;Luc Gool;Christopher K. Williams;John Winn

  • SURF: speeded up robust features

    Herbert Bay;Tinne Tuytelaars;Luc Van Gool

  • Speeded-Up Robust Features (SURF)

    Herbert Bay;Andreas Ess;Tinne Tuytelaars;Luc Van Gool

  • The Pascal Visual Object Classes Challenge: A Retrospective

    Mark Everingham;S. M. Eslami;Luc Gool;Christopher K. Williams

  • A Comparison of Affine Region Detectors

    K. Mikolajczyk;T. Tuytelaars;C. Schmid;A. Zisserman

  • Temporal Segment Networks: Towards Good Practices for Deep Action Recognition

    Limin Wang;Yuanjun Xiong;Zhe Wang;Yu Qiao

  • SwinIR: Image Restoration Using Swin Transformer

    Jingyun Liang;Jiezhang Cao;Guolei Sun;Kai Zhang

  • Efficient Non-Maximum Suppression

    Unknown

  • A Benchmark Dataset and Evaluation Methodology for Video Object Segmentation

    F. Perazzi;J. Pont-Tuset;B. McWilliams;L. Van Gool

  • Food-101 – Mining Discriminative Components with Random Forests

    Lukas Bossard;Matthieu Guillaumin;Luc J. Van Gool;Luc J. Van Gool

  • RePaint: Inpainting using Denoising Diffusion Probabilistic Models

    Unknown

  • An adaptive color-based particle filter

    Katja Nummiaro;Esther Koller-Meier;Luc J. Van Gool;Luc J. Van Gool

  • A+: Adjusted Anchored Neighborhood Regression for Fast Super-Resolution

    Radu Timofte;Vincent De Smet;Luc J. Van Gool;Luc J. Van Gool

  • You'll never walk alone: Modeling social behavior for multi-target tracking

    S. Pellegrini;A. Ess;K. Schindler;L. van Gool

  • Self-Calibration and Metric Reconstruction Inspite of Varying and Unknown Intrinsic Camera Parameters

    Marc Pollefeys;Reinhard Koch;Luc Van Gool

  • Domain Adaptive Faster R-CNN for Object Detection in the Wild

    Yuhua Chen;Wen Li;Christos Sakaridis;Dengxin Dai

  • Procedural modeling of buildings

    Pascal Müller;Peter Wonka;Simon Haegler;Andreas Ulmer

  • Anchored Neighborhood Regression for Fast Example-Based Super-Resolution

    Radu Timofte;Vincent De;Luc Van Gool

  • NTIRE 2017 Challenge on Single Image Super-Resolution: Methods and Results

    Radu Timofte;Eirikur Agustsson;Luc Van Gool;Ming-Hsuan Yang

  • Visual Modeling with a Hand-Held Camera

    Marc Pollefeys;Luc Van Gool;Maarten Vergauwen;Frank Verbiest

  • Self-calibration and metric reconstruction in spite of varying and unknown internal camera parameters

    M. Pollefeys;R. Koch;L. Van Gool

  • An Efficient Dense and Scale-Invariant Spatio-Temporal Interest Point Detector

    Geert Willems;Tinne Tuytelaars;Luc Gool

Frequent Co-Authors

Radu Timofte
Radu Timofte University of Wurzburg
Dengxin Dai
Dengxin Dai Huawei Zurich
Marc Pollefeys
Marc Pollefeys ETH Zurich
Juergen Gall
Juergen Gall University of Bonn
Bastian Leibe
Bastian Leibe RWTH Aachen University
Reinhard Koch
Reinhard Koch Kiel University
Wen Li
Wen Li University of Electronic Science and Technology of China
Vittorio Ferrari
Vittorio Ferrari Google (United States)

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