Matthias De Lange

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Tinne TuytelaarsKU Leuven - PSI, BelgiumVerified email at esat.kuleuven.be
Sarah ParisotImperial College LondonVerified email at imperial.ac.uk
Xu JiaAssociate Professor at Dalian University of TechnologyVerified email at dlut.edu.cn
Greg SlabaughProfessor, and Director of DERI, Queen Mary University of LondonVerified email at qmul.ac.uk
Ales LeonardisProfessor of Computer ScienceVerified email at cs.bham.ac.uk
Marc MasanaInstitute of Computer Graphics and Vision, Graz University of TechnologyVerified email at icg.tugraz.at
Rahaf AljundiResearcher at Toyota Motor EuropeVerified email at toyota-europe.com
Eli VerwimpKU LeuvenVerified email at kuleuven.be
Gido M. van de VenPostdoctoral Associate, KU LeuvenVerified email at kuleuven.be
Karl RidgewayFacebookVerified email at fb.com
Michael Louis IuzzolinoMetaVerified email at meta.com
Reuben TanBoston UniversityVerified email at bu.edu
Vincenzo LomonacoTenure-Track Researcher @ Unipi, Founder @ ContinualAI.org, Founder & CEO @ ContinualIST.comVerified email at unipi.it

Matthias De Lange

Senior AI Researcher @Techwolf | PhD

Verified email at techwolf.ai - Homepage

NLP continual learning computer vision representation learning


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
A continual learning survey: Defying forgetting in classification tasks M De Lange, R Aljundi, M Masana, S Parisot, X Jia, A Leonardis, ... TPAMI, 2021	2283*	2021
Continual prototype evolution: Learning online from non-stationary data streams M De Lange, T Tuytelaars ICCV 2021, 2020	255	2020
Avalanche: an end-to-end library for continual learning V Lomonaco, L Pellegrini, A Cossu, A Carta, G Graffieti, TL Hayes, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021	209	2021
Rehearsal revealed: The limits and merits of revisiting samples in continual learning E Verwimp, M De Lange, T Tuytelaars ICCV 2021, 2021	110	2021
Clad: A realistic continual learning benchmark for autonomous driving E Verwimp, K Yang, S Parisot, L Hong, S McDonagh, E Pérez-Pellitero, ... Neural Networks 161, 659-669, 2023	52	2023
Continual evaluation for lifelong learning: Identifying the stability gap M De Lange, G van de Ven, T Tuytelaars International Conference on Learning Representations (ICLR), 2023	46	2023
Unsupervised Model Personalization while Preserving Privacy and Scalability: An Open Problem M De Lange, X Jia, S Parisot, A Leonardis, G Slabaugh, T Tuytelaars Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020	31	2020
Re-examining distillation for continual object detection E Verwimp, K Yang, S Parisot, H Lanqing, S McDonagh, E Pérez-Pellitero, ... arXiv preprint arXiv:2204.01407, 2022	14	2022
3rd continual learning workshop challenge on egocentric category and instance level object understanding L Pellegrini, C Zhu, F Xiao, Z Yan, A Carta, M De Lange, V Lomonaco, ... arXiv preprint arXiv:2212.06833, 2022	7	2022
Multiscale video pretraining for long-term activity forecasting R Tan, M De Lange, M Iuzzolino, BA Plummer, K Saenko, K Ridgeway, ... arXiv preprint arXiv:2307.12854, 2023	6	2023
Towards Open-World Gesture Recognition J Shen, M De Lange, X Xu, E Zhou, R Tan, N Suda, M Lazarewicz, ... arXiv preprint arXiv:2401.11144, 2024	2	2024
EgoAdapt: A multi-stream evaluation study of adaptation to real-world egocentric user video M De Lange, H Eghbalzadeh, R Tan, M Iuzzolino, F Meier, K Ridgeway arXiv preprint arXiv:2307.05784, 2023	2	2023
Incremental and adaptive machine learning. M De Lange, T Tuytelaars KU Leuven, 2023		2023

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