Matthias De Lange

According to our database, Matthias De Lange authored at least 14 papers between 2019 and 2024.

Collaborative distances:

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

2024

Towards Open-World Gesture Recognition.

Junxiao Shen, Matthias De Lange, Xuhai "Orson" Xu, Enmin Zhou, Ran Tan, Naveen Suda, Maciej Lazarewicz, Per Ola Kristensson, Amy Karlson, Evan Strasnick

CoRR, 2024

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

Multiscale Video Pretraining for Long-Term Activity Forecasting.

Reuben Tan, Matthias De Lange, Michael L. Iuzzolino, Bryan A. Plummer, Kate Saenko, Karl Ridgeway, Lorenzo Torresani

CoRR, 2023

EgoAdapt: A multi-stream evaluation study of adaptation to real-world egocentric user video.

Matthias De Lange, Hamid Eghbalzadeh, Reuben Tan, Michael L. Iuzzolino, Franziska Meier, Karl Ridgeway

CoRR, 2023

Continual evaluation for lifelong learning: Identifying the stability gap.

Matthias De Lange, Gido M. van de Ven, Tinne Tuytelaars

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022

A Continual Learning Survey: Defying Forgetting in Classification Tasks.

Matthias De Lange, Rahaf Aljundi, Marc Masana, Sarah Parisot, Xu Jia, Ales Leonardis, Gregory G. Slabaugh, Tinne Tuytelaars

IEEE Trans. Pattern Anal. Mach. Intell., 2022

3rd Continual Learning Workshop Challenge on Egocentric Category and Instance Level Object Understanding.

Lorenzo Pellegrini, Chenchen Zhu, Fanyi Xiao, Zhicheng Yan, Antonio Carta, Matthias De Lange, Vincenzo Lomonaco, Roshan Sumbaly, Pau Rodríguez, David Vázquez

CoRR, 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

Avalanche: an End-to-End Library for Continual Learning.

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, Jeremy Forest, Eden Belouadah, Simone Calderara, German Ignacio Parisi, Fabio Cuzzolin, Andreas S. Tolias, Simone Scardapane, Luca Antiga, Subutai Amhad, Adrian Popescu, Christopher Kanan, Joost van de Weijer, Tinne Tuytelaars, Davide Bacciu, Davide Maltoni

CoRR, 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

Continual Prototype Evolution: Learning Online from Non-Stationary Data Streams.

Matthias De Lange, Tinne Tuytelaars

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

Avalanche: An End-to-End Library for Continual Learning.

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, Jeremy Forest, Eden Belouadah, Simone Calderara, German Ignacio Parisi, Fabio Cuzzolin, Andreas S. Tolias, Simone Scardapane, Luca Antiga, Subutai Ahmad, Adrian Popescu, Christopher Kanan, Joost van de Weijer, Tinne Tuytelaars, Davide Bacciu, Davide Maltoni

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2021

2020

Unsupervised Model Personalization While Preserving Privacy and Scalability: An Open Problem.

Matthias De Lange, Xu Jia, Sarah Parisot, Ales Leonardis, Gregory G. Slabaugh, Tinne Tuytelaars

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019

Continual learning: A comparative study on how to defy forgetting in classification tasks.

Matthias De Lange, Rahaf Aljundi, Marc Masana, Sarah Parisot, Xu Jia, Ales Leonardis, Gregory G. Slabaugh, Tinne Tuytelaars

CoRR, 2019