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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
- Lifelong-Learning Electronic Systems: edge-devices that get smarter day-by-day [LifeLinES]From1 Jan 2024 → TodayFunding: BOF - Methusalem
- 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: Own budget, for example: patrimony, inscription fees, gifts
- Towards automatic audio description of video dataFrom26 Oct 2022 → TodayFunding: Own budget, for example: patrimony, inscription fees, gifts
Publications
31 - 40 of 256
- In defense of LSTMs for addressing multiple instance learning problems(2021)
Authors: Kaili Wang, Tinne Tuytelaars
Pages: 444 - 460 - Learning multi-instance sub-pixel point localization(2021)
Authors: Tinne Tuytelaars
Pages: 669 - 686 - Multiple exemplars-based hallucination for face super-resolution and editing(2021)
Authors: Kaili Wang, Tinne Tuytelaars
Pages: 258 - 273 - MIX'EM: Unsupervised image classification using a mixture of embeddings(2021)
Authors: Ali Varamesh, Tinne Tuytelaars
Pages: 38 - 55 - Computer vision and human behaviour, emotion and cognition detection: A use case on student engagement(2021)
Authors: Pieter Vanneste, Thomas Verelst, Tinne Tuytelaars, Annelies Raes, Fien Depaepe, Wim Van Den Noortgate
Pages: 1 - 20 - SegBlocks: Towards block-based adaptive resolution networks for fast segmentation(2021)
Authors: Thomas Verelst, Tinne Tuytelaars
Pages: 18 - 22 - Neural Networks in a 3D World: Learning from Geometry(2021)
Authors: Tom Roussel, Tinne Tuytelaars, Luc Van Eycken
- Real-Time Embedded Computer Vision on UAVs:
UAVision2020 Workshop Summary(2021)
Authors: Kristof Van Beeck, Maarten Vandersteegen, Tanguy Ophoff, Tinne Tuytelaars, Toon Goedemé
Pages: 665 - 674Number of pages: 10 - Rehearsal revealed: The limits and merits of revisiting samples in continual learning(2021)
Authors: Eli Verwimp, Matthias De Lange, Tinne Tuytelaars
Pages: 9365 - 9374 - Continual prototype evolution: Learning online from non-stationary data streams(2021)
Authors: Matthias De Lange, Tinne Tuytelaars
Pages: 8230 - 8239