Elamur Research⌕
☰
home / authors / Tinne Tuytelaars

Tinne Tuytelaars

Tinne Tuytelaars has 2 papers in our library, in 2026, most of them on Language models & pretraining, Vision & language; often with Iryna Gurevych, Jonathan Tonglet, Marie-Francine Moens.

2 papers in our library · 2026

OpenAlex · ORCID · Wikidata · h-index 70 · 613 works · 55,196 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 262 times in our library · 19 more in our library without a page yet · ⭐ Paper Stars ranking: #10772

The profile is the library's match of the name; two people with one name are not always told apart.

Elsewhere: Google Scholar · Semantic Scholar · dblp · ACL Anthology

 Affiliations

🎓KU LeuvenLeuven · Belgium1991–2026 · 381 papersEducation 1991–1996 · master, Electrotechnical EngineeringEducation 1996–2000 · PhD, Electrotechnical Engineering - ESATEmployment · professor, ESATcurrent🔬VIB-KU Leuven Center for MicrobiologyLeuven · Belgium2026 · 1 papercurrent🤝iMindsGhent · Belgium2012–2017 · 54 papers🤝IMECLeuven · Belgium2016–2019 · 17 papers🎓Czech Technical University in PraguePrague · Czechia2014 · 6 papers🎓ETH ZurichZurich · Switzerland2004–2014 · 2 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 2 more institutions on single bylines are not listed.

 Fields, topics and concepts

Of its works in our library, with the number of works on each.

📚 Shelves 7The field of science this work belongs to (OpenAlex fields).Computer Science · 2 worksComputer Vision and Pattern Recognition · 2 worksArtificial Intelligence · 1 workMathematics · 1 workSocial Sciences · 1 workSociology and Political Science · 1 workStatistics and Probability · 1 work

🧭 Topics 2Research subjects and languages the work is about.Language models & pretraining · 1 workVision & language · 1 work

 Works by year

2020s

20262 papers

 Papers

The most cited first (OpenAlex and our library).

  1. Protecting multimodal large language models against misleading visualizations (2026 · 3 citations)
    Charts can distort their underlying data through design flaws called misleaders, such as truncated or inverted axes, dual axes, or 3D effects.
  2. Is this chart lying to me? Automating the detection of misleading visualizations (2026 · 1 citation)
    Charts that break design conventions, for example through truncated axes or misleading 3D effects, can distort data and spread misinformation online.

All works

21 works of theirs in our library, the most cited first; 2 with a page here, the others link their original until we summarise them.

  1. A Comparison of Affine Region Detectors ↗International Journal of Computer Vision · no summary yetKrystian Mikolajczyk et al.2005 · 2,939 citations
  2. Memory Aware Synapses: Learning what (not) to forget ↗arXiv:1711.09601 · no summary yetRahaf Aljundi et al.2017 · 1,608 citations
  3. Modeling video evolution for action recognition ↗IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yetBasura Fernando et al.2015 · 582 citations
  4. Dynamic Filter Networks ↗neural information processing systems · no summary yetXu Jia et al.2016 · 513 citations
  5. Task-Free Continual Learning ↗IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yetRahaf Aljundi, Klaas Kelchtermans, Tinne Tuytelaars2019 · 337 citations
  6. Seeking the Strongest Rigid Detector ↗IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yetRodrigo Benenson et al.2013 · 256 citations
  7. Weakly supervised object detection with convex clustering ↗IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yetHakan Bilen, Marco Pedersoli, Tinne Tuytelaars2015 · 210 citations
  8. Continual Prototype Evolution: Learning Online from Non-Stationary Data Streams ↗IEEE/CVF International Conference on Computer Vision (ICCV) · no summary yetMatthias De Lange, Tinne Tuytelaars2021 · 199 citations
  9. The NBNN kernel ↗International Conference on Computer Vision · no summary yetTinne Tuytelaars et al.2011 · 100 citations
  10. Deep Reflectance Maps ↗IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yetKonstantinos Rematas et al.2016 · 98 citations
  11. Online Continual Learning with Maximally Interfered Retrieval ↗arXiv:1908.04742 · NeurIPS 2019 · no summary yetRahaf Aljundi et al.2019 · 85 citations
  12. Expert Gate: Lifelong Learning with a Network of Experts ↗arXiv:1611.06194 · no summary yetRahaf Aljundi, Punarjay Chakravarty, Tinne Tuytelaars2016 · 43 citations
  13. The AXES submissions at TrecVid 2013 ↗Dublin City University Open Access Institutional Repository (Dublin City University) · no summary yetRobin Aly et al.2013 · 22 citations
  14. Beyond metadata: searching your archive based on its audio-visual content ↗no summary yetTatiana Tommasi et al.2014 · 13 citations
  15. Protecting multimodal large language models against misleading visualizationsAnnual Meeting of the Association for Computational Linguistics (ACL)Jonathan Tonglet, Tinne Tuytelaars, Marie-Francine Moens, et al.2026 · 3 citations
  16. Is this chart lying to me? Automating the detection of misleading visualizationsAnnual Meeting of the Association for Computational Linguistics (ACL)Jonathan Tonglet, Jan Zimny, Tinne Tuytelaars, et al.2026 · 1 citation
  17. AXES at TRECVid 2012: KIS, INS, and MED ↗no summary yetIns+kis Robin Aly et al.2014
  18. Omkar Parkhi, et al. To cite this version: ↗no summary yetRobin Aly et al.2014
  19. AXES at TRECVid 2013 ↗University of Twente Research Information · no summary yetRobin Aly et al.2013
  20. To cite this version: ↗no summary yetDan Oneata et al.2013
  21. Software - Software for computing local invariant features ↗no summary yetCordelia Schmid et al.2004

 Co-authors here

3 co-authors with a page, the most papers together first.

Venues

Where their works here were published, the most works first, with the editions of those that have a page.

 Cited by

Papers of our library cite their works 262 times (of the 149,439 papers whose bibliographies we read); 15 citing papers with a page here →.

Updated

↑ back to top

This page in Markdown → https://md.research.elamur.ai/free/en/authors/tinne-tuytelaars/