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Tinne Tuytelaars

Tinne Tuytelaars

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Computer Science
Belgium
2026

D-Index & Metrics

Computer Science

D-Index
84
Citations
73616
World Ranking
819
National Ranking
7

Research.com Recognitions

  • 2026 - Research.com Computer Science in Belgium Leader Award
  • 2025 - Research.com Computer Science in Belgium Leader Award

Overview

Tinne Tuytelaars is affiliated with KU Leuven in Belgium and has contributed extensively to the field of Computer Science, particularly focusing on Computer Vision and Pattern Recognition, Artificial Intelligence, Control and Systems Engineering, Computer Graphics and Computer-Aided Design, and Radiology, Nuclear Medicine and Imaging.

Their research work covers core topics such as Domain Adaptation and Few-Shot Learning, Multimodal Machine Learning Applications, Advanced Image and Video Retrieval Techniques, Advanced Neural Network Applications, Advanced Vision and Imaging, Human Pose and Action Recognition, and Machine Learning and Data Classification.

Frequent co-authors in their publications include Marie-Francine Moens, Minye Wu, Gido M. van de Ven, Matthias De Lange, and José Oramas.

Tinne Tuytelaars has published extensively in venues such as arXiv (Cornell University), 2023 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2021 IEEE/CVF International Conference on Computer Vision (ICCV), Lecture Notes in Computer Science, and IEEE Transactions on Pattern Analysis and Machine Intelligence.

Recent papers authored or co-authored by Tuytelaars include:

  • A continual learning survey: Defying forgetting in classification tasks, 2021, IEEE Transactions on Pattern Analysis and Machine Intelligence
  • Three types of incremental learning, 2022, Nature Machine Intelligence
  • Continual Prototype Evolution: Learning Online from Non-Stationary Data Streams, 2021, 2021 IEEE/CVF International Conference on Computer Vision (ICCV)
  • Avalanche: An end-to-end library for continual learning, 2021, CINECA IRIS Institutional research information system (University of Pisa)
  • Computer Vision and Human Behaviour, Emotion and Cognition Detection: A Use Case on Student Engagement, 2021, Mathematics

Best Publications

  • 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

  • A Comparison of Affine Region Detectors

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

  • Local Invariant Feature Detectors: A Survey

    Tinne Tuytelaars;Krystian Mikolajczyk

  • A continual learning survey: Defying forgetting in classification tasks.

    Matthias Delange;Rahaf Aljundi;Marc Masana;Sarah Parisot

  • Unsupervised Visual Domain Adaptation Using Subspace Alignment

    Basura Fernando;Amaury Habrard;Marc Sebban;Tinne Tuytelaars

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

    Geert Willems;Tinne Tuytelaars;Luc Gool

  • Memory Aware Synapses: Learning What (not) to Forget

    Rahaf Aljundi;Francesca Babiloni;Mohamed Elhoseiny;Marcus Rohrbach

  • Matching Widely Separated Views Based on Affine Invariant Regions

    Tinne Tuytelaars;Luc Van Gool

  • Wide Baseline Stereo Matching based on Local, Affinely Invariant Regions

    Tinne Tuytelaars;Luc J. Van Gool

  • Pose Guided Person Image Generation

    Liqian Ma;Xu Jia;Qianru Sun;Bernt Schiele

  • Dynamic Filter Networks

    Xu Jia;Bert De Brabandere;Tinne Tuytelaars;Luc Van Gool

  • Modeling video evolution for action recognition

    Basura Fernando;Efstratios Gavves;M. Jose Oramas;Amir Ghodrati

  • Expert Gate: Lifelong Learning with a Network of Experts

    Rahaf Aljundi;Punarjay Chakravarty;Tinne Tuytelaars

  • Object detection by contour segment networks

    Vittorio Ferrari;Tinne Tuytelaars;Luc Van Gool

  • Three types of incremental learning

    Unknown

  • Guiding the Long-Short Term Memory Model for Image Caption Generation

    Xu Jia;Efstratios Gavves;Basura Fernando;Tinne Tuytelaars

  • Modeling scenes with local descriptors and latent aspects

    P. Quelhas;F. Monay;J.-M. Odobez;D. Gatica-Perez

  • Moment invariants for recognition under changing viewpoint and illumination

    Florica Mindru;Tinne Tuytelaars;Luc Van Gool;Theo Moons

  • Dynamic Filter Networks

    Bert De Brabandere;Xu Jia;Tinne Tuytelaars;Luc Van Gool

  • Online Continual Learning with Maximal Interfered Retrieval

    Rahaf Aljundi;Eugene Belilovsky;Tinne Tuytelaars;Laurent Charlin

  • Online Continual Learning with Maximally Interfered Retrieval

    Rahaf Aljundi;Lucas Caccia;Eugene Belilovsky;Massimo Caccia

  • Speeded-UpRobustFeatures(SURF)

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

Frequent Co-Authors

Luc Van Gool
Luc Van Gool Institute for Computer Science, Artificial Intelligence and Technology (INSAIT)
Basura Fernando
Basura Fernando Agency for Science, Technology and Research
Vittorio Ferrari
Vittorio Ferrari Google (United States)
Efstratios Gavves
Efstratios Gavves University of Amsterdam
Mario Fritz
Mario Fritz Helmholtz Center for Information Security
Tobias Ritschel
Tobias Ritschel University College London
Luc De Raedt
Luc De Raedt KU Leuven
Cordelia Schmid
Cordelia Schmid French Institute for Research in Computer Science and Automation - INRIA

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