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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
31 - 40 of 71
- Deep learning and X-ray imaging for non-destructive internal quality inspection of foods in inline applicationFrom1 Jan 2020 → 31 Dec 2021Funding: IOF - technology validation in lab
- Design and Interpret: A New Framework for Explainable AIFrom1 Jan 2020 → 31 Dec 2023Funding: FWO research project (including WEAVE projects)
- Designing High-Performing Networks for Multi-Scale Computer VisionFrom23 Oct 2019 → 24 Jan 2024Funding: Own budget, for example: patrimony, inscription fees, gifts
- Deep learning for multimodal representation learningFrom20 Sep 2019 → 20 Sep 2023Funding: Own budget, for example: patrimony, inscription fees, gifts
- Resource-Constrained Training of Deep Neural Networks for Industrial Computer Vision ApplicationsFrom30 Aug 2019 → 5 Dec 2023Funding: Own budget, for example: patrimony, inscription fees, gifts
- Spatially Adaptive Neural Networks for Computer VisionFrom1 Oct 2018 → 26 Jan 2023Funding: Own budget, for example: patrimony, inscription fees, gifts
- Spatial Representation in Models of Images and Text with Applications to Medical Document Indexing and Autonomous DrivingFrom1 Oct 2018 → 20 Dec 2022Funding: Own budget, for example: patrimony, inscription fees, gifts
- MAChine Communication with Humans and Inference in NAtural environments (MACCHINA)From1 Oct 2018 → 30 Sep 2022Funding: Fund Recuperation Fiscal Exemption
- Incremental and Adaptive Machine LearningFrom24 Sep 2018 → 29 Mar 2023Funding: Own budget, for example: patrimony, inscription fees, gifts
- Overcoming Complexity of Visual Perception by Efficient Pose Estimation and Self-Supervised Representation LearningFrom29 Jun 2018 → 27 Jan 2022Funding: Own budget, for example: patrimony, inscription fees, gifts
Publications
1 - 10 of 259
- Identifying temporal correlations between natural single-shot videos and EEG signals(2024)
Authors: Yuanyuan Yao, Axel Stebner, Tinne Tuytelaars, Simon Geirnaert, Alexander Bertrand
- Designing High-Performing Networks for Multi-Scale Computer Vision(2024)
Authors: Cédric Picron, Tinne Tuytelaars
- Resource-Constrained Training of Deep Neural Networks for Industrial Computer Vision Applications(2023)
Authors: Robby Neven, Toon Goedemé, Marian Verhelst, Tinne Tuytelaars
- On-Device Customization of Tiny Deep Learning Models for Keyword Spotting With Few Examples(2023)
Authors: Tinne Tuytelaars
Pages: 50 - 57 - A multi-modal AI approach for intuitively instructable autonomous systems(2023)
Authors: Hugo Van hamme, Tinne Tuytelaars
Pages: 1 - 13 - Layout-aware dreamer for embodied referring expression grounding(2023)
Authors: Mingxiao Li, Zehao Wang, Tinne Tuytelaars, Marie-Francine Moens
Pages: 1386 - 1395 - Synthetic data for X-ray CT of healthy and disordered pear fruit using deep learning(2023)
Authors: Astrid Tempelaere, Tinne Tuytelaars, Bart Nicolai
- CLAD: A realistic Continual Learning benchmark for Autonomous Driving(2023)
Authors: Eli Verwimp, Tinne Tuytelaars
Pages: 659 - 669 - Incremental and Adaptive Machine Learning(2023)
Authors: Matthias De Lange, Tinne Tuytelaars
- SimGlim: Simplifying glimpse based active visual reconstruction(2023)
Authors: Abhishek Jha, Tinne Tuytelaars
Pages: 269 - 278