Eli Verwimp

According to our database, Eli Verwimp authored at least 5 papers between 2021 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2023

CLAD: A realistic Continual Learning benchmark for Autonomous Driving.

Eli Verwimp, Kuo Yang, Sarah Parisot, Lanqing Hong, Steven McDonagh, Eduardo Pérez-Pellitero, Matthias De Lange, Tinne Tuytelaars

Neural Networks, April, 2023

Continual Learning: Applications and the Road Forward.

Eli Verwimp, Rahaf Aljundi, Shai Ben-David, Matthias Bethge, Andrea Cossu, Alexander Gepperth, Tyler L. Hayes, Eyke Hüllermeier, Christopher Kanan, Dhireesha Kudithipudi, Christoph H. Lampert, Martin Mundt, Razvan Pascanu, Adrian Popescu, Andreas S. Tolias, Joost van de Weijer, Bing Liu, Vincenzo Lomonaco, Tinne Tuytelaars, Gido M. van de Ven

CoRR, 2023

Knowledge Accumulation in Continually Learned Representations and the Issue of Feature Forgetting.

Timm Hess, Eli Verwimp, Gido M. van de Ven, Tinne Tuytelaars

CoRR, 2023

2022

Re-examining Distillation for Continual Object Detection.

Eli Verwimp, Kuo Yang, Sarah Parisot, Lanqing Hong, Steven McDonagh, Eduardo Pérez-Pellitero, Matthias De Lange, Tinne Tuytelaars

Proceedings of the 33rd British Machine Vision Conference 2022, 2022

2021

Rehearsal revealed: The limits and merits of revisiting samples in continual learning.

Eli Verwimp, Matthias De Lange, Tinne Tuytelaars

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021