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Joost van de Weijer
Joost van de Weijer
Computer Vision Center, Universitat Autònoma de Barcelona
Verified email at cvc.uab.es - Homepage
Title
Cited by
Year
Exploiting the Semantic Knowledge of Pre-trained Text-Encoders for Continual Learning
L Yu, Z Tao, H Yao, J Van de Weijer, C Xu
arXiv preprint arXiv:2408.01076, 2024
2024
Exemplar-free Continual Representation Learning via Learnable Drift Compensation
A Gomez-Villa, D Goswami, K Wang, AD Bagdanov, B Twardowski, ...
ECCV, 2024
2024
ColorPeel: Color Prompt Learning with Diffusion Models via Color and Shape Disentanglement
MA Butt, K Wang, J Vazquez-Corral, J van de Weijer
ECCV, 2024
2024
Enhancing Perceptual Quality in Video Super-Resolution through Temporally-Consistent Detail Synthesis using Diffusion Models
C Rota, M Buzzelli, J van de Weijer
ECCV, 2024
2024
Projected latent distillation for data-agnostic consolidation in distributed continual learning
A Carta, A Cossu, V Lomonaco, D Bacciu, J van de Weijer
Neurocomputing, 127935, 2024
22024
The Expanding Scope of the Stability Gap: Unveiling its Presence in Joint Incremental Learning of Homogeneous Tasks
S Kamath, A Soutif-Cormerais, J van de Weijer, B Raducanu
CVPR workshop CLVision, 2024
2024
LocInv: Localization-aware Inversion for Text-Guided Image Editing
C Tang, K Wang, F Yang, J van de Weijer
CVPR Workshop AI4CC, 2024
2024
Calibrating Higher-Order Statistics for Few-Shot Class-Incremental Learning with Pre-trained Vision Transformers
D Goswami, B Twardowski, J van de Weijer
CVPR workshop CLVision, 2024
22024
AViTMP: A Tracking-Specific Transformer for Single-Branch Visual Tracking
C Tang, K Wang, J van de Weijer, J Zhang, Y Huang
IEEE Transactions on Intelligent Vehicles, 2024
2024
Resurrecting Old Classes with New Data for Exemplar-Free Continual Learning
D Goswami, Y Liu, S Kamath, B Twardowski, J van de Weijer
CVPR, 2024
12024
An Empirical Analysis of Forgetting in Pre-trained Models with Incremental Low-Rank Updates
S Magistri, J van de Weijer, AD Bagdanov
CoLLas, 2024
2024
Accelerated Inference and Reduced Forgetting: The Dual Benefits of Early-Exit Networks in Continual Learning
F Szatkowski, F Yang, B Twardowski, T Trzciński, J van de Weijer
arXiv preprint arXiv:2403.07404, 2024
2024
Continual learning: Applications and the road forward
E Verwimp, S Ben-David, M Bethge, A Cossu, A Gepperth, TL Hayes, ...
TMLR, 2024
102024
Get What You Want, Not What You Don't: Image Content Suppression for Text-to-Image Diffusion Models
S Li, J van de Weijer, T Hu, FS Khan, Q Hou, Y Wang, J Yang
ICLR, 2024
52024
Elastic Feature Consolidation for Cold Start Exemplar-free Incremental Learning
S Magistri, T Trinci, A Soutif-Cormerais, J van de Weijer, AD Bagdanov
ICLR, 2024
82024
NeRF-Diffusion for 3D-Consistent Face Generation and Editing
H Laria, K Wang, J van de Weijer, B Raducanu, Y Wang
VISAPP 587, 594, 2024
2024
Plasticity-Optimized Complementary Networks for Unsupervised Continual Learning
A Gomez-Villa, B Twardowski, K Wang, J van de Weijer
WACV, 2024
92024
Main product detection with graph networks for fashion
VO Yazici, L Yu, A Ramisa, L Herranz, J van de Weijer
Multimedia Tools and Applications 83 (1), 3215-3231, 2024
2024
Minegan++: Mining generative models for efficient knowledge transfer to limited data domains
Y Wang, A Gonzalez-Garcia, C Wu, L Herranz, FS Khan, S Jui, ...
IJCV, 2024
62024
Dynamic Prompt Learning: Addressing Cross-Attention Leakage for Text-Based Image Editing
K Wang, F Yang, S Yang, MA Butt, J van de Weijer
NeurIPS, 2023
172023
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