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Researcher
Tinne Tuytelaars
- Disciplines:Artificial intelligence, Multimedia processing, Biological system engineering, Signal processing, Other computer engineering, information technology and mathematical engineering, Medical imaging and therapy
Affiliations
- Processing Speech and Images (PSI) (Division)
Member
From1 Aug 2020 → Today - ESAT - PSI, Processing Speech and Images (Division)
Member
From1 Jun 2002 → 31 Jul 2020 - Department of Electrical Engineering (ESAT) (Department)
Member
From1 Oct 2000 → 31 May 2002
Projects
1 - 10 of 71
- Generative pretraining in vision and languageFrom9 Apr 2024 → TodayFunding: Own budget, for example: patrimony, inscription fees, gifts
- Multimodal Fact-CheckingFrom18 Oct 2023 → TodayFunding: Own budget, for example: patrimony, inscription fees, gifts
- Rethinking Replay: understanding and avoiding the stability gap in continual learningFrom1 Oct 2023 → TodayFunding: BOF - projects
- Object-centric and scale-aware representation learning with applications in remote sensingFrom25 Sep 2023 → TodayFunding: Own budget, for example: patrimony, inscription fees, gifts
- Mid-level visual factors to predict human aesthetic preferences for images: A deep-learning approach based on Bayesian neural networks and latent diffusion modelsFrom3 Apr 2023 → TodayFunding: Own budget, for example: patrimony, inscription fees, gifts
- Visual factors to predict human aesthetic preferences for images: A deep-learning approach based on Fast Fourier Convolution and Vision TransformersFrom3 Apr 2023 → TodayFunding: Own budget, for example: patrimony, inscription fees, gifts
- Open-set object recognitionFrom1 Mar 2023 → TodayFunding: Own budget, for example: patrimony, inscription fees, gifts
- Mid-level visual factors to predict human aesthetic preferences for images: A computational approachFrom27 Jan 2023 → TodayFunding: Own budget, for example: patrimony, inscription fees, gifts
- Creating comics with AIFrom23 Dec 2022 → TodayFunding: Baekeland
- Towards automatic audio description of video dataFrom26 Oct 2022 → TodayFunding: Own budget, for example: patrimony, inscription fees, gifts
Publications
11 - 20 of 259
- Spatial consistency loss for training multi-label classifiers from single-label annotations(2023)
Authors: Tinne Tuytelaars
Pages: 3868 - 3878 - Weakly-supervised HOI detection via prior-guided bi-level representation learning(2023)
Authors: Tinne Tuytelaars
Number of pages: 17 - Continual evaluation for lifelong learning: Identifying the stability gap(2023)
Authors: Matthias De Lange, Gido van de Ven, Tinne Tuytelaars
Number of pages: 21 - Spatially Adaptive Neural Networks for Computer Vision(2023)
Authors: Thomas Verelst, Tinne Tuytelaars
- Weakly Supervised Face Naming with Symmetry-Enhanced Contrastive Loss(2023)
Authors: Tingyu Qu, Tinne Tuytelaars, Marie-Francine Moens
Pages: 3505 - 3514Number of pages: 9 - CrOC: Cross-view online clustering for dense visual representation learning(2023)
Authors: Tim Lebailly, Tinne Tuytelaars
Pages: 7000 - 7009 - Barlow constrained optimization for visual question answering(2023)
Authors: Abhishek Jha, Luc Van Gool, Tinne Tuytelaars
Pages: 1084 - 1093 - Global-local self-distillation for visual representation learning(2023)
Authors: Tim Lebailly, Tinne Tuytelaars
Pages: 1441 - 1450 - Spatial Representation in Models of Images and Text with Applications to Medical Document Indexing and Autonomous Driving(2022)
Authors: Dusan Grujicic, Matthew Blaschko, Tinne Tuytelaars
- Three types of incremental learning(2022)
Authors: Gido van de Ven, Tinne Tuytelaars