Matthias De Lange

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 20

Top Topics

Lifelong Learning

Object Detection

Top Venues

Publications

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 (2024)
Matthias De Lange, Gido M. van de Ven, Tinne Tuytelaars
Continual evaluation for lifelong learning: Identifying the stability gap. ICLR (2023)
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 (2023)
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. Neural Networks 161 (2023)
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 (2023)
Matthias De Lange, Gido van de Ven, Tinne Tuytelaars
Continual evaluation for lifelong learning: Identifying the stability gap. CoRR (2022)
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 (2022)
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. CoRR (2022)
Lorenzo Pellegrini, Chenchen Zhu, Fanyi Xiao, Zhicheng Yan, Antonio Carta, Matthias De Lange, Vincenzo Lomonaco, Roshan Sumbaly, Pau Rodríguez, David Vázquez
3rd Continual Learning Workshop Challenge on Egocentric Category and Instance Level Object Understanding. CoRR (2022)
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)
Matthias De Lange, Rahaf Aljundi, Marc Masana, Sarah Parisot, Xu Jia, Ales Leonardis, Gregory G. Slabaugh, Tinne Tuytelaars
A Continual Learning Survey: Defying Forgetting in Classification Tasks. IEEE Trans. Pattern Anal. Mach. Intell. 44 (7) (2022)
Matthias De Lange, Tinne Tuytelaars
Continual Prototype Evolution: Learning Online from Non-Stationary Data Streams. ICCV (2021)
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 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
Avalanche: An End-to-End Library for Continual Learning. CVPR Workshops (2021)
Eli Verwimp, Matthias De Lange, Tinne Tuytelaars
Rehearsal revealed: The limits and merits of revisiting samples in continual learning. ICCV (2021)
Eli Verwimp, Matthias De Lange, Tinne Tuytelaars
Rehearsal revealed: The limits and merits of revisiting samples in continual learning. CoRR (2021)
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 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
Avalanche: an End-to-End Library for Continual Learning. CoRR (2021)
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 (2020)
Matthias De Lange, Tinne Tuytelaars
Continual Prototype Evolution: Learning Online from Non-Stationary Data Streams. CoRR (2020)
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. CVPR (2020)
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 (2019)