Joost van de Weijer

ORCID

Publication Activity (10 Years)

Years Active: 1998-2024
Publications (10 Years): 228

Top Venues

CoRR

CVPR Workshops

CVPR

IEEE Trans. Image Process.

Publications

Senmao Li, Joost van de Weijer, Taihang Hu, Fahad Shahbaz Khan, Qibin Hou, Yaxing Wang, Jian Yang
Get What You Want, Not What You Don't: Image Content Suppression for Text-to-Image Diffusion Models. ICLR (2024)
Dipam Goswami, Bartlomiej Twardowski, Joost van de Weijer
Calibrating Higher-Order Statistics for Few-Shot Class-Incremental Learning with Pre-trained Vision Transformers. CoRR (2024)
Muhammad Atif Butt, Kai Wang, Javier Vazquez-Corral, Joost van de Weijer
ColorPeel: Color Prompt Learning with Diffusion Models via Color and Shape Disentanglement. CoRR (2024)
Senmao Li, Joost van de Weijer, Taihang Hu, Fahad Shahbaz Khan, Qibin Hou, Yaxing Wang, Jian Yang
Get What You Want, Not What You Don't: Image Content Suppression for Text-to-Image Diffusion Models. CoRR (2024)
Simone Magistri, Tomaso Trinci, Albin Soutif-Cormerais, Joost van de Weijer, Andrew D. Bagdanov
Elastic Feature Consolidation For Cold Start Exemplar-Free Incremental Learning. ICLR (2024)
Dipam Goswami, Albin Soutif-Cormerais, Yuyang Liu, Sandesh Kamath, Bartlomiej Twardowski, Joost van de Weijer
Resurrecting Old Classes with New Data for Exemplar-Free Continual Learning. CoRR (2024)
Vacit Oguz Yazici, Longlong Yu, Arnau Ramisa, Luis Herranz, Joost van de Weijer
Main product detection with graph networks for fashion. Multim. Tools Appl. 83 (1) (2024)
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
Continual Learning: Applications and the Road Forward. Trans. Mach. Learn. Res. 2024 (2024)
Chuanming Tang, Kai Wang, Fei Yang, Joost van de Weijer
LocInv: Localization-aware Inversion for Text-Guided Image Editing. CoRR (2024)
Héctor Laria Mantecon, Kai Wang, Joost van de Weijer, Bogdan Raducanu, Yaxing Wang
NeRF-Diffusion for 3D-Consistent Face Generation and Editing. VISIGRAPP (2): VISAPP (2024)
Yaxing Wang, Abel Gonzalez-Garcia, Chenshen Wu, Luis Herranz, Fahad Shahbaz Khan, Shangling Jui, Jian Yang, Joost van de Weijer
MineGAN++: Mining Generative Models for Efficient Knowledge Transfer to Limited Data Domains. Int. J. Comput. Vis. 132 (2) (2024)
Simone Magistri, Tomaso Trinci, Albin Soutif-Cormerais, Joost van de Weijer, Andrew D. Bagdanov
Elastic Feature Consolidation for Cold Start Exemplar-free Incremental Learning. CoRR (2024)
Antonio Carta, Andrea Cossu, Vincenzo Lomonaco, Davide Bacciu, Joost van de Weijer
Projected Latent Distillation for Data-Agnostic Consolidation in distributed continual learning. Neurocomputing 598 (2024)
Sandesh Kamath, Albin Soutif-Cormerais, Joost van de Weijer, Bogdan Raducanu
The Expanding Scope of the Stability Gap: Unveiling its Presence in Joint Incremental Learning of Homogeneous Tasks. CoRR (2024)
Alex Gomez-Villa, Dipam Goswami, Kai Wang, Andrew D. Bagdanov, Bartlomiej Twardowski, Joost van de Weijer
Exemplar-free Continual Representation Learning via Learnable Drift Compensation. CoRR (2024)
Albin Soutif-Cormerais, Simone Magistri, Joost van de Weijer, Andrew D. Bagdanov
An Empirical Analysis of Forgetting in Pre-trained Models with Incremental Low-Rank Updates. CoRR (2024)
Filip Szatkowski, Fei Yang, Bartlomiej Twardowski, Tomasz Trzcinski, Joost van de Weijer
Accelerated Inference and Reduced Forgetting: The Dual Benefits of Early-Exit Networks in Continual Learning. CoRR (2024)
Alex Gomez-Villa, Bartlomiej Twardowski, Kai Wang, Joost van de Weijer
Plasticity-Optimized Complementary Networks for Unsupervised Continual Learning. WACV (2024)
Eli Verwimp, 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
Continual Learning: Applications and the Road Forward. CoRR (2023)
Lu Yu, Xialei Liu, Joost van de Weijer
Self-Training for Class-Incremental Semantic Segmentation. IEEE Trans. Neural Networks Learn. Syst. 34 (11) (2023)
Dipam Goswami, Yuyang Liu, Bartlomiej Twardowski, Joost van de Weijer
FeCAM: Exploiting the Heterogeneity of Class Distributions in Exemplar-Free Continual Learning. CoRR (2023)
Fei Yang, Kai Wang, Joost van de Weijer
ScrollNet: Dynamic Weight Importance for Continual Learning. CoRR (2023)
Fei Yang, Kai Wang, Joost van de Weijer
ScrollNet: Dynamic Weight Importance for Continual Learning. ICCV (Workshops) (2023)
Matej Kristan, Jirí Matas, Martin Danelljan, Michael Felsberg, Hyung Jin Chang, Luka Cehovin Zajc, Alan Lukezic, Ondrej Drbohlav, Zhongqun Zhang, Khanh-Tung Tran, Xuan-Son Vu, Johanna Björklund, Christoph Mayer, Yushan Zhang, Lei Ke, Jie Zhao, Gustavo Fernández, Noor Al-Shakarji, Dong An, Michael Arens, Stefan Becker, Goutam Bhat, Sebastian Bullinger, Antoni B. Chan, Shijie Chang, Hanyuan Chen, Xin Chen, Yan Chen, Zhenyu Chen, Yangming Cheng, Yutao Cui, Chunyuan Deng, Jiahua Dong, Matteo Dunnhofer, Wei Feng, Jianlong Fu, Jie Gao, Ruize Han, Zeqi Hao, Jun-Yan He, Keji He, Zhenyu He, Xiantao Hu, Kaer Huang, Yuqing Huang, Yi Jiang, Ben Kang, Jin-Peng Lan, Hyungjun Lee, Chenyang Li, Jiahao Li, Ning Li, Wangkai Li, Xiaodi Li, Xin Li, Pengyu Liu, Yue Liu, Huchuan Lu, Bin Luo, Ping Luo, Yinchao Ma, Deshui Miao, Christian Micheloni, Kannappan Palaniappan, Hancheol Park, Matthieu Paul, Houwen Peng, Zekun Qian, Gani Rahmon, Norbert Scherer-Negenborn, Pengcheng Shao, Wooksu Shin, Elham Soltani Kazemi, Tianhui Song, Rainer Stiefelhagen, Rui Sun, Chuanming Tang, Zhangyong Tang, Imad Eddine Toubal, Jack Valmadre, Joost van de Weijer, Luc Van Gool, Jash Vira, Stéphane Vujasinovic, Cheng Wan, Jia Wan, Dong Wang, Fei Wang, Feifan Wang, He Wang, Limin Wang, Song Wang, Yaowei Wang, Zhepeng Wang, Gangshan Wu, Jiannan Wu, Qiangqiang Wu, Xiaojun Wu, Anqi Xiao, Jinxia Xie, Chenlong Xu, Min Xu, Tianyang Xu, Yuanyou Xu, Bin Yan, Dawei Yang, Ming-Hsuan Yang, Tianyu Yang, Yi Yang, Zongxin Yang, Xuanwu Yin, Fisher Yu, Hongyuan Yu, Qianjin Yu, Weichen Yu, Yongsheng Yuan, Zehuan Yuan, Jianlin Zhang, Lu Zhang, Tianzhu Zhang, Guodongfang Zhao, Shaochuan Zhao, Yaozong Zheng, Bineng Zhong, Jiawen Zhu, Xuefeng Zhu, Yueting Zhuang, ChengAo Zong, Kunlong Zuo
The First Visual Object Tracking Segmentation VOTS2023 Challenge Results. ICCV (Workshops) (2023)
Kai Wang, Fei Yang, Shiqi Yang, Muhammad Atif Butt, Joost van de Weijer
Dynamic Prompt Learning: Addressing Cross-Attention Leakage for Text-Based Image Editing. NeurIPS (2023)
Eduardo Aguilar, Bogdan Raducanu, Petia Radeva, Joost van de Weijer
Continual Evidential Deep Learning for Out-of-Distribution Detection. CoRR (2023)
Alex Gomez-Villa, Bartlomiej Twardowski, Kai Wang, Joost van de Weijer
Plasticity-Optimized Complementary Networks for Unsupervised Continual Learning. CoRR (2023)
Mert Kilickaya, Joost van de Weijer, Yuki M. Asano
Towards Label-Efficient Incremental Learning: A Survey. CoRR (2023)
Kai Wang, Fei Yang, Shiqi Yang, Muhammad Atif Butt, Joost van de Weijer
Dynamic Prompt Learning: Addressing Cross-Attention Leakage for Text-Based Image Editing. CoRR (2023)
Albin Soutif-Cormerais, Antonio Carta, Joost van de Weijer
Improving Online Continual Learning Performance and Stability with Temporal Ensembles. CoLLAs (2023)
Chenshen Wu, Joost van de Weijer
Density Map Distillation for Incremental Object Counting. CoRR (2023)
Dipam Goswami, René Schuster, Joost van de Weijer, Didier Stricker
Attribution-aware Weight Transfer: A Warm-Start Initialization for Class-Incremental Semantic Segmentation. WACV (2023)
Chenshen Wu, Joost van de Weijer
Density Map Distillation for Incremental Object Counting. CVPR Workshops (2023)
Eduardo Aguilar, Bogdan Raducanu, Petia Radeva, Joost van de Weijer
Continual Evidential Deep Learning for Out-of-Distribution Detection. ICCV (Workshops) (2023)
Albin Soutif-Cormerais, Antonio Carta, Andrea Cossu, Julio Hurtado, Vincenzo Lomonaco, Joost van de Weijer, Hamed Hemati
A Comprehensive Empirical Evaluation on Online Continual Learning. CoRR (2023)
Damian Sójka, Yuyang Liu, Dipam Goswami, Sebastian Cygert, Bartlomiej Twardowski, Joost van de Weijer
Technical Report for ICCV 2023 Visual Continual Learning Challenge: Continuous Test-time Adaptation for Semantic Segmentation. CoRR (2023)
Yuyang Liu, Yang Cong, Dipam Goswami, Xialei Liu, Joost van de Weijer
Augmented Box Replay: Overcoming Foreground Shift for Incremental Object Detection. CoRR (2023)
Dawid Rymarczyk, Joost van de Weijer, Bartosz Zielinski, Bartlomiej Twardowski
ICICLE: Interpretable Class Incremental Continual Learning. ICCV (2023)
Shiqi Yang, Yaxing Wang, Joost van de Weijer, Luis Herranz, Shangling Jui, Jian Yang
Trust your Good Friends: Source-free Domain Adaptation by Reciprocal Neighborhood Clustering. CoRR (2023)
Claudio Rota, Marco Buzzelli, Joost van de Weijer
Enhancing Perceptual Quality in Video Super-Resolution through Temporally-Consistent Detail Synthesis using Diffusion Models. CoRR (2023)
Albin Soutif-Cormerais, Antonio Carta, Andrea Cossu, Julio Hurtado, Vincenzo Lomonaco, Joost van de Weijer, Hamed Hemati
A Comprehensive Empirical Evaluation on Online Continual Learning. ICCV (Workshops) (2023)
Jia-Wen Xiao, Chang-Bin Zhang, Jiekang Feng, Xialei Liu, Joost van de Weijer, Ming-Ming Cheng
Endpoints Weight Fusion for Class Incremental Semantic Segmentation. CVPR (2023)
Senmao Li, Joost van de Weijer, Yaxing Wang, Fahad Shahbaz Khan, Meiqin Liu, Jian Yang
3D-Aware Multi-Class Image-to-Image Translation with NeRFs. CoRR (2023)
Antonio Carta, Andrea Cossu, Vincenzo Lomonaco, Davide Bacciu, Joost van de Weijer
Projected Latent Distillation for Data-Agnostic Consolidation in Distributed Continual Learning. CoRR (2023)
Marc Masana, Xialei Liu, Bartlomiej Twardowski, Mikel Menta, Andrew D. Bagdanov, Joost van de Weijer
Class-Incremental Learning: Survey and Performance Evaluation on Image Classification. IEEE Trans. Pattern Anal. Mach. Intell. 45 (5) (2023)
Dawid Rymarczyk, Joost van de Weijer, Bartosz Zielinski, Bartlomiej Twardowski
ICICLE: Interpretable Class Incremental Continual Learning. CoRR (2023)
Akshita Gupta, Sanath Narayan, Salman Khan, Fahad Shahbaz Khan, Ling Shao, Joost van de Weijer
Generative Multi-Label Zero-Shot Learning. IEEE Trans. Pattern Anal. Mach. Intell. 45 (12) (2023)
Chuanming Tang, Kai Wang, Joost van de Weijer, Jianlin Zhang, Yongmei Huang
Exploiting Image-Related Inductive Biases in Single-Branch Visual Tracking. CoRR (2023)
Senmao Li, Joost van de Weijer, Taihang Hu, Fahad Shahbaz Khan, Qibin Hou, Yaxing Wang, Jian Yang
StyleDiffusion: Prompt-Embedding Inversion for Text-Based Editing. CoRR (2023)
Senmao Li, Joost van de Weijer, Yaxing Wang, Fahad Shahbaz Khan, Meiqin Liu, Jian Yang
3D-Aware Multi-Class Image-to-Image Translation with NeRFs. CVPR (2023)
Chuanming Tang, Kai Wang, Joost van de Weijer
IterInv: Iterative Inversion for Pixel-Level T2I Models. CoRR (2023)
Shiqi Yang, Yaxing Wang, Joost van de Weijer, Luis Herranz, Shangling Jui, Jian Yang
Trust Your Good Friends: Source-Free Domain Adaptation by Reciprocal Neighborhood Clustering. IEEE Trans. Pattern Anal. Mach. Intell. 45 (12) (2023)
Simone Zini, Alex Gomez-Villa, Marco Buzzelli, Bartlomiej Twardowski, Andrew D. Bagdanov, Joost van de Weijer
Planckian Jitter: countering the color-crippling effects of color jitter on self-supervised training. ICLR (2023)
Yuyang Liu, Yang Cong, Dipam Goswami, Xialei Liu, Joost van de Weijer
Augmented Box Replay: Overcoming Foreground Shift for Incremental Object Detection. ICCV (2023)
Albin Soutif-Cormerais, Antonio Carta, Joost van de Weijer
Improving Online Continual Learning Performance and Stability with Temporal Ensembles. CoRR (2023)
Dipam Goswami, Yuyang Liu, Bartlomiej Twardowski, Joost van de Weijer
FeCAM: Exploiting the Heterogeneity of Class Distributions in Exemplar-Free Continual Learning. NeurIPS (2023)
Shiqi Yang, Yaxing Wang, Luis Herranz, Shangling Jui, Joost van de Weijer
Casting a BAIT for offline and online source-free domain adaptation. Comput. Vis. Image Underst. 234 (2023)
Shiqi Yang, Yaxing Wang, Kai Wang, Shangling Jui, Joost van de Weijer
Attracting and Dispersing: A Simple Approach for Source-free Domain Adaptation. NeurIPS (2022)
Vacit Oguz Yazici, Joost van de Weijer, Longlong Yu
Visual Transformers with Primal Object Queries for Multi-Label Image Classification. ICPR (2022)
Kai Wang, Chenshen Wu, Andy 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. BMVC (2022)
Yaxing Wang, Joost van de Weijer, Lu Yu, Shangling Jui
Distilling GANs with Style-Mixed Triplets for X2I Translation with Limited Data. ICLR (2022)
Kai Wang, Xialei Liu, Andy Bagdanov, Luis Herranz, Shangling Jui, Joost van de Weijer
Incremental Meta-Learning via Episodic Replay Distillation for Few-Shot Image Recognition. CVPR Workshops (2022)
Dipam Goswami, René Schuster, Joost van de Weijer, Didier Stricker
Attribution-aware Weight Transfer: A Warm-Start Initialization for Class-Incremental Semantic Segmentation. CoRR (2022)
Héctor Laria Mantecon, Yaxing Wang, Joost van de Weijer, Bogdan Raducanu
Transferring Unconditional to Conditional GANs with Hyper-Modulation. CVPR Workshops (2022)
Aitor Alvarez-Gila, Joost van de Weijer, Yaxing Wang, Estíbaliz Garrote
MVMO: A Multi-Object Dataset for Wide Baseline Multi-View Semantic Segmentation. CoRR (2022)
Kai Wang, Fei Yang, Joost van de Weijer
Attention Distillation: self-supervised vision transformer students need more guidance. BMVC (2022)
Aitor Alvarez-Gila, Joost van de Weijer, Yaxing Wang, Estíbaliz Garrote
MVMO: A Multi-Object Dataset for Wide Baseline Multi-View Semantic Segmentation. ICIP (2022)
Shiqi Yang, Yaxing Wang, Kai Wang, Shangling Jui, Joost van de Weijer
Attracting and Dispersing: A Simple Approach for Source-free Domain Adaptation. CoRR (2022)
Javad Zolfaghari Bengar, Joost van de Weijer, Laura Lopez-Fuentes, Bogdan C. Raducanu
Class-Balanced Active Learning for Image Classification. WACV (2022)
Shiqi Yang, Yaxing Wang, Kai Wang, Shangling Jui, Joost van de Weijer
One Ring to Bring Them All: Towards Open-Set Recognition under Domain Shift. CoRR (2022)
Alex Gomez-Villa, Bartlomiej Twardowski, Lu Yu, Andrew D. Bagdanov, Joost van de Weijer
Continually Learning Self-Supervised Representations with Projected Functional Regularization. CVPR Workshops (2022)
Bojana Gajic, Ariel Amato, Ramon Baldrich, Joost van de Weijer, Carlo Gatta
Area Under the ROC Curve Maximization for Metric Learning. CVPR Workshops (2022)
Kai Wang, Fei Yang, Joost van de Weijer
Attention Distillation: self-supervised vision transformer students need more guidance. CoRR (2022)
Marco Cotogni, Fei Yang, Claudio Cusano, Andrew D. Bagdanov, Joost van de Weijer
Gated Class-Attention with Cascaded Feature Drift Compensation for Exemplar-free Continual Learning of Vision Transformers. CoRR (2022)
Kai Wang, Chenshen Wu, Andy 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. CoRR (2022)
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. CVPR Workshops (2022)
Simone Zini, Marco Buzzelli, Bartlomiej Twardowski, Joost van de Weijer
Planckian jitter: enhancing the color quality of self-supervised visual representations. CoRR (2022)
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. CoRR (2022)
Vacit Oguz Yazici, Longlong Yu, Arnau Ramisa, Luis Herranz, Joost van de Weijer
Main Product Detection with Graph Networks for Fashion. CoRR (2022)
Kai Wang, Xialei Liu, Luis Herranz, Joost van de Weijer
HCV: Hierarchy-Consistency Verification for Incremental Implicitly-Refined Classification. CoRR (2021)
Kai Wang, Luis Herranz, Joost van de Weijer
Continual learning in cross-modal retrieval. CoRR (2021)
Kai Wang, Xialei Liu, Andrew D. Bagdanov, Luis Herranz, Shangling Jui, Joost van de Weijer
Incremental Meta-Learning via Episodic Replay Distillation for Few-Shot Image Recognition. CoRR (2021)
Shiqi Yang, Kai Wang, Luis Herranz, Joost van de Weijer
On Implicit Attribute Localization for Generalized Zero-Shot Learning. IEEE Signal Process. Lett. 28 (2021)
Shiqi Yang, Yaxing Wang, Joost van de Weijer, Luis Herranz, Shangling Jui
Generalized Source-free Domain Adaptation. 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)
Javad Zolfaghari Bengar, Joost van de Weijer, Bartlomiej Twardowski, Bogdan C. Raducanu
Reducing Label Effort: Self-Supervised meets Active Learning. CoRR (2021)
Kai Wang, Joost van de Weijer, Luis Herranz
ACAE-REMIND for online continual learning with compressed feature replay. Pattern Recognit. Lett. 150 (2021)
Vacit Oguz Yazici, Joost van de Weijer, Longlong Yu
Visual Transformers with Primal Object Queries for Multi-Label Image Classification. CoRR (2021)
Javad Zolfaghari Bengar, Joost van de Weijer, Bartlomiej Twardowski, Bogdan C. Raducanu
Reducing Label Effort: Self-Supervised meets Active Learning. ICCVW (2021)
Yaxing Wang, Abel Gonzalez-Garcia, Luis Herranz, Joost van de Weijer
Controlling biases and diversity in diverse image-to-image translation. Comput. Vis. Image Underst. 202 (2021)
Kai Wang, Xialei Liu, Luis Herranz, Joost van de Weijer
HCV: Hierarchy-Consistency Verification for Incremental Implicitly-Refined Classification. BMVC (2021)
Javad Zolfaghari Bengar, Bogdan C. Raducanu, Joost van de Weijer
When Deep Learners Change Their Mind: Learning Dynamics for Active Learning. CoRR (2021)
Marc Masana, Tinne Tuytelaars, Joost van de Weijer
Ternary Feature Masks: Zero-Forgetting for Task-Incremental Learning. CVPR Workshops (2021)
Shiqi Yang, Yaxing Wang, Joost van de Weijer, Luis Herranz, Shangling Jui
Exploiting the Intrinsic Neighborhood Structure for Source-free Domain Adaptation. NeurIPS (2021)
Albin Soutif-Cormerais, Marc Masana, Joost van de Weijer, Bartlomiej Twardowski
On the importance of cross-task features for class-incremental learning. CoRR (2021)
Carola Figueroa Flores, David Berga, Joost van de Weijer, Bogdan C. Raducanu
Saliency for free: Saliency prediction as a side-effect of object recognition. Pattern Recognit. Lett. 150 (2021)
Shiqi Yang, Yaxing Wang, Joost van de Weijer, Luis Herranz, Shangling Jui
Exploiting the Intrinsic Neighborhood Structure for Source-free Domain Adaptation. CoRR (2021)
Shiqi Yang, Kai Wang, Luis Herranz, Joost van de Weijer
On Implicit Attribute Localization for Generalized Zero-Shot Learning. CoRR (2021)
Yaxing Wang, Héctor Laria Mantecon, Joost van de Weijer, Laura Lopez-Fuentes, Bogdan Raducanu
TransferI2I: Transfer Learning for Image-to-Image Translation from Small Datasets. ICCV (2021)
Kai Wang, Luis Herranz, Joost van de Weijer
Continual Learning in Cross-Modal Retrieval. CVPR Workshops (2021)

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Publication Activity (10 Years)

Top Topics

Top Venues

Joost van de Weijer