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Matthias De Lange
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2020 – today
- 2024
- [c7]Junxiao Shen, Matthias De Lange, Xuhai Xu, Enmin Zhou, Ran Tan, Naveen Suda, Maciej Lazarewicz, Per Ola Kristensson, Amy Karlson, Evan Strasnick:
Towards Open-World Gesture Recognition. ISMAR 2024: 1236-1245 - [i12]Junxiao Shen
, Matthias De Lange, Xuhai Orson Xu, Enmin Zhou, Ran Tan, Naveen Suda, Maciej Lazarewicz, Per Ola Kristensson, Amy Karlson, Evan Strasnick:
Towards Open-World Gesture Recognition. CoRR abs/2401.11144 (2024) - 2023
- [j2]Eli Verwimp
CLAD: A realistic Continual Learning benchmark for Autonomous Driving. Neural Networks 161: 659-669 (2023) - [c6]Matthias De Lange, Gido M. van de Ven, Tinne Tuytelaars:
Continual evaluation for lifelong learning: Identifying the stability gap. ICLR 2023 - [i11]Matthias De Lange, Hamid Eghbalzadeh, Reuben Tan, Michael L. Iuzzolino, Franziska Meier, Karl Ridgeway:
EgoAdapt: A multi-stream evaluation study of adaptation to real-world egocentric user video. CoRR abs/2307.05784 (2023) - [i10]Reuben Tan, Matthias De Lange, Michael L. Iuzzolino, Bryan A. Plummer, Kate Saenko, Karl Ridgeway, Lorenzo Torresani:
Multiscale Video Pretraining for Long-Term Activity Forecasting. CoRR abs/2307.12854 (2023) - 2022
- [j1]Matthias De Lange
A Continual Learning Survey: Defying Forgetting in Classification Tasks. IEEE Trans. Pattern Anal. Mach. Intell. 44(7): 3366-3385 (2022) - [c5]Eli Verwimp, Kuo Yang, Sarah Parisot, Lanqing Hong, Steven McDonagh, Eduardo Pérez-Pellitero, Matthias De Lange, Tinne Tuytelaars:
Re-examining Distillation for Continual Object Detection. BMVC 2022: 807 - [i9]Eli Verwimp, Kuo Yang, Sarah Parisot, Lanqing Hong, Steven McDonagh
Re-examining Distillation For Continual Object Detection. CoRR abs/2204.01407 (2022) - [i8]Matthias De Lange, Gido van de Ven, Tinne Tuytelaars:
Continual evaluation for lifelong learning: Identifying the stability gap. CoRR abs/2205.13452 (2022) - [i7]Eli Verwimp, Kuo Yang, Sarah Parisot, Lanqing Hong, Steven McDonagh, Eduardo Pérez-Pellitero, Matthias De Lange, Tinne Tuytelaars:
CLAD: A realistic Continual Learning benchmark for Autonomous Driving. CoRR abs/2210.03482 (2022) - [i6]Lorenzo Pellegrini
3rd Continual Learning Workshop Challenge on Egocentric Category and Instance Level Object Understanding. CoRR abs/2212.06833 (2022) - 2021
- [c4]Vincenzo Lomonaco
Avalanche: An End-to-End Library for Continual Learning. CVPR Workshops 2021: 3600-3610 - [c3]Matthias De Lange, Tinne Tuytelaars
Continual Prototype Evolution: Learning Online from Non-Stationary Data Streams. ICCV 2021: 8230-8239 - [c2]Eli Verwimp, Matthias De Lange, Tinne Tuytelaars
Rehearsal revealed: The limits and merits of revisiting samples in continual learning. ICCV 2021: 9365-9374 - [i5]Vincenzo Lomonaco, Lorenzo Pellegrini, Andrea Cossu, Antonio Carta, Gabriele Graffieti, Tyler L. Hayes, Matthias De Lange, Marc Masana, Jary Pomponi, Gido M. van de Ven, Martin Mundt, Qi She, Keiland W. Cooper
Avalanche: an End-to-End Library for Continual Learning. CoRR abs/2104.00405 (2021) - [i4]Eli Verwimp
Rehearsal revealed: The limits and merits of revisiting samples in continual learning. CoRR abs/2104.07446 (2021) - 2020
- [c1]Matthias De Lange, Xu Jia, Sarah Parisot, Ales Leonardis, Gregory G. Slabaugh
Unsupervised Model Personalization While Preserving Privacy and Scalability: An Open Problem. CVPR 2020: 14451-14460 - [i3]Matthias De Lange, Xu Jia, Sarah Parisot, Ales Leonardis, Gregory G. Slabaugh, Tinne Tuytelaars:
Unsupervised Model Personalization while Preserving Privacy and Scalability: An Open Problem. CoRR abs/2003.13296 (2020) - [i2]Matthias De Lange, Tinne Tuytelaars:
Continual Prototype Evolution: Learning Online from Non-Stationary Data Streams. CoRR abs/2009.00919 (2020)
2010 – 2019
- 2019
- [i1]Matthias De Lange, Rahaf Aljundi, Marc Masana, Sarah Parisot, Xu Jia, Ales Leonardis, Gregory G. Slabaugh, Tinne Tuytelaars:
Continual learning: A comparative study on how to defy forgetting in classification tasks. CoRR abs/1909.08383 (2019)
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