Author |
Title |
Year |
Publication |
Volume |
Pages |
Hector Laria Mantecon; Yaxing Wang; Joost Van de Weijer; Bogdan Raducanu |
Transferring Unconditional to Conditional GANs With Hyper-Modulation |
2022 |
IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) |
|
|
Kai Wang; Joost Van de Weijer; Luis Herranz |
ACAE-REMIND for online continual learning with compressed feature replay |
2021 |
Pattern Recognition Letters |
150 |
122-129 |
Vacit Oguz Yazici; Joost Van de Weijer; Longlong Yu |
Visual Transformers with Primal Object Queries for Multi-Label Image Classification |
2022 |
26th International Conference on Pattern Recognition |
|
|
Shiqi Yang; Yaxing Wang; Joost Van de Weijer; Luis Herranz; Shangling Jui |
Exploiting the Intrinsic Neighborhood Structure for Source-free Domain Adaptation |
2021 |
Thirty-fifth Conference on Neural Information Processing Systems (NeurIPS 2021) |
|
|
Carola Figueroa Flores; David Berga; Joost Van de Weijer; Bogdan Raducanu |
Saliency for free: Saliency prediction as a side-effect of object recognition |
2021 |
Pattern Recognition Letters |
150 |
1-7 |
Kai Wang; Xialei Liu; Andrew Bagdanov; Luis Herranz; Shangling Jui; Joost Van de Weijer |
Incremental Meta-Learning via Episodic Replay Distillation for Few-Shot Image Recognition |
2022 |
CVPR 2022 Workshop on Continual Learning (CLVision, 3rd Edition) |
|
3728-3738 |
Shiqi Yang; Yaxing Wang; Kai Wang; Shangling Jui; Joost Van de Weijer |
Attracting and Dispersing: A Simple Approach for Source-free Domain Adaptation |
2022 |
36th Conference on Neural Information Processing Systems |
|
|
Francesco Pelosin; Saurav Jha; Andrea Torsello; Bogdan Raducanu; Joost Van de Weijer |
Towards exemplar-free continual learning in vision transformers: an account of attention, functional and weight regularization |
2022 |
IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) |
|
|
Yaxing Wang; Joost Van de Weijer; Lu Yu; Shangling Jui |
Distilling GANs with Style-Mixed Triplets for X2I Translation with Limited Data |
2022 |
10th International Conference on Learning Representations |
|
|
Kai Wang; Fei Yang; Joost Van de Weijer |
Attention Distillation: self-supervised vision transformer students need more guidance |
2022 |
33rd British Machine Vision Conference |
|
|
Kai Wang; Chenshen Wu; Andrew Bagdanov; Xialei Liu; Shiqi Yang; Shangling Jui; Joost Van de Weijer |
Positive Pair Distillation Considered Harmful: Continual Meta Metric Learning for Lifelong Object Re-Identification |
2022 |
33rd British Machine Vision Conference |
|
|
Shiqi Yang; Yaxing Wang; Kai Wang; Shangling Jui; Joost Van de Weijer |
Local Prediction Aggregation: A Frustratingly Easy Source-free Domain Adaptation Method |
2022 |
Arxiv |
|
|
Lu Yu; Bartlomiej Twardowski; Xialei Liu; Luis Herranz; Kai Wang; Yongmai Cheng; Shangling Jui; Joost Van de Weijer |
Semantic Drift Compensation for Class-Incremental Learning of Embeddings |
2020 |
33rd IEEE Conference on Computer Vision and Pattern Recognition |
|
|
Lichao Zhang; Abel Gonzalez-Garcia; Joost Van de Weijer; Martin Danelljan; Fahad Shahbaz Khan |
Synthetic Data Generation for End-to-End Thermal Infrared Tracking |
2019 |
IEEE Transactions on Image Processing |
28 |
1837 - 1850 |
Xinhang Song; Shuqiang Jiang; Luis Herranz; Chengpeng Chen |
Learning Effective RGB-D Representations for Scene Recognition |
2019 |
IEEE Transactions on Image Processing |
28 |
980-993 |