Joost van de Weijer 0001 - researchr alias

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2025

CEDL+: Exploiting evidential deep learning for continual out-of-distribution detectionEduardo Aguilar 0001, Bogdan Raducanu, Petia Radeva, Joost van de Weijer 0001. eswa, 283:127774, 2025. [doi]

Multi-Class Textual-Inversion Secretly Yields a Semantic-Agnostic ClassifierKai Wang 0060, Fei Yang 0004, Bogdan Raducanu, Joost van de Weijer 0001. wacv 2025: 4400-4409 [doi]

Exemplar-Free Continual Learning of Vision Transformers via Gated Class-Attention and Cascaded Feature Drift CompensationMarco Cotogni, Fei Yang 0004, Claudio Cusano, Andrew D. Bagdanov, Joost van de Weijer 0001. ijcv, 133(7):4571-4589, July 2025. [doi]

The Art of Deception: Color Visual Illusions and Diffusion ModelsAlexandra Gomez-Villa, Kai Wang 0060, C. Alejandro Párraga, Bartlomiej Twardowski, Jesus Malo, Javier Vazquez-Corral, Joost van de Weijer 0001. cvpr 2025: 18642-18652 [doi]

InterLCM: Low-Quality Images as Intermediate States of Latent Consistency Models for Effective Blind Face RestorationSenmao Li, Kai Wang 0060, Joost van de Weijer 0001, Fahad Shahbaz Khan, Chun-Le Guo, Shiqi Yang, Yaxing Wang, Jian Yang 0003, Ming-Ming Cheng. iclr 2025: [doi]

One-Way Ticket: Time-Independent Unified Encoder for Distilling Text-to-Image Diffusion ModelsSenmao Li, Lei Wang, Kai Wang, Tao Liu, Jiehang Xie, Joost van de Weijer 0001, Fahad Shahbaz Khan, Shiqi Yang, Yaxing Wang, Jian Yang 0003. cvpr 2025: 23563-23574 [doi]

One-Prompt-One-Story: Free-Lunch Consistent Text-to-Image Generation Using a Single PromptTao Liu, Kai Wang, Senmao Li, Joost van de Weijer 0001, Fahad Shahbaz Khan, Shiqi Yang, Yaxing Wang, Jian Yang, Ming-Ming Cheng. iclr 2025: [doi]

AViTMP: A Tracking-Specific Transformer for Single-Branch Visual TrackingChuanming Tang, Kai Wang 0060, Joost van de Weijer 0001, Jianlin Zhang 0001, Yongmei Huang. tiv, 10(2):1087-1100, February 2025. [doi]

2024

ColorPeel: Color Prompt Learning with Diffusion Models via Color and Shape DisentanglementMuhammad Atif Butt, Kai Wang 0060, Javier Vazquez-Corral, Joost van de Weijer 0001. eccv 2025: 456-472 [doi]

Projected Latent Distillation for Data-Agnostic Consolidation in distributed continual learningAntonio Carta, Andrea Cossu, Vincenzo Lomonaco, Davide Bacciu, Joost van de Weijer 0001. ijon, 598:127935, 2024. [doi]

Plasticity-Optimized Complementary Networks for Unsupervised Continual LearningAlex Gomez-Villa, Bartlomiej Twardowski, Kai Wang 0060, Joost van de Weijer 0001. wacv 2024: 1679-1689 [doi]

Exemplar-Free Continual Representation Learning via Learnable Drift CompensationAlex Gomez-Villa, Dipam Goswami, Kai Wang 0060, Andrew D. Bagdanov, Bartlomiej Twardowski, Joost van de Weijer 0001. eccv 2025: 473-490 [doi]

Calibrating Higher-Order Statistics for Few-Shot Class-Incremental Learning with Pre-trained Vision TransformersDipam Goswami, Bartlomiej Twardowski, Joost van de Weijer 0001. cvpr 2024: 4075-4084 [doi]

Resurrecting Old Classes with New Data for Exemplar-Free Continual LearningDipam Goswami, Albin Soutif-Cormerais, Yuyang Liu, Sandesh Kamath, Bartlomiej Twardowski, Joost van de Weijer 0001. cvpr 2024: 28525-28534 [doi]

Token Merging for Training-Free Semantic Binding in Text-to-Image SynthesisTaihang Hu, Linxuan Li, Joost van de Weijer 0001, Hongcheng Gao, Fahad Shahbaz Khan, Jian Yang, Ming-Ming Cheng, Kai Wang, Yaxing Wang. nips 2024: [doi]

The Expanding Scope of the Stability Gap: Unveiling its Presence in Joint Incremental Learning of Homogeneous TasksSandesh Kamath, Albin Soutif-Cormerais, Joost van de Weijer 0001, Bogdan Raducanu. cvpr 2024: 4182-4186 [doi]

Get What You Want, Not What You Don't: Image Content Suppression for Text-to-Image Diffusion ModelsSenmao Li, Joost van de Weijer 0001, Taihang Hu, Fahad Shahbaz Khan, Qibin Hou, Yaxing Wang, Jian Yang 0003. iclr 2024: [doi]

Faster Diffusion: Rethinking the Role of the Encoder for Diffusion Model InferenceSenmao Li, Taihang Hu, Joost van de Weijer 0001, Fahad Shahbaz Khan, Tao Liu, Linxuan Li, Shiqi Yang, Yaxing Wang, Ming-Ming Cheng, Jian Yang 0003. nips 2024: [doi]

Elastic Feature Consolidation For Cold Start Exemplar-Free Incremental LearningSimone Magistri, Tomaso Trinci, Albin Soutif-Cormerais, Joost van de Weijer 0001, Andrew D. Bagdanov. iclr 2024: [doi]

NeRF-Diffusion for 3D-Consistent Face Generation and EditingHéctor Laria Mantecon, Kai Wang, Joost van de Weijer 0001, Bogdan Raducanu, Yaxing Wang. visigrapp 2024: 587-594 [doi]

Conditional Diffusion Model With Spatial-Frequency Refinement for SAR-to-Optical Image TranslationJiang Qin, Kai Wang 0060, Bin Zou 0001, Lamei Zhang, Joost van de Weijer 0001. tgrs, 62:1-14, 2024. [doi]

Enhancing Perceptual Quality in Video Super-Resolution Through Temporally-Consistent Detail Synthesis Using Diffusion ModelsClaudio Rota, Marco Buzzelli, Joost van de Weijer 0001. eccv 2025: 36-53 [doi]

An Empirical Analysis of Forgetting in Pre-trained Models with Incremental Low-Rank UpdatesAlbin Soutif, Simone Magistri, Joost van de Weijer 0001, Andrew D. Bagdanov. collas 2024: 996-1012 [doi]

IterInv: Iterative Inversion for Pixel-Level T2I ModelsChuanming Tang, Kai Wang, Joost van de Weijer 0001. icmcs 2024: 1-6 [doi]

MineGAN++: Mining Generative Models for Efficient Knowledge Transfer to Limited Data DomainsYaxing Wang, Abel Gonzalez-Garcia, Chenshen Wu, Luis Herranz, Fahad Shahbaz Khan, Shangling Jui, Jian Yang 0003, Joost van de Weijer 0001. ijcv, 132(2):490-514, February 2024. [doi]

Main product detection with graph networks for fashionVacit Oguz Yazici, LongLong Yu, Arnau Ramisa, Luis Herranz, Joost van de Weijer 0001. mta, 83(1):3215-3231, January 2024. [doi]

2023

Continual Evidential Deep Learning for Out-of-Distribution DetectionEduardo Aguilar 0001, Bogdan Raducanu, Petia Radeva, Joost van de Weijer 0001. iccvw 2023: 3436-3446 [doi]

ScrollNet: Dynamic Weight Importance for Continual LearningFei Yang 0004, Kai Wang 0060, Joost van de Weijer 0001. iccvw 2023: 3337-3347 [doi]

Self-Training for Class-Incremental Semantic SegmentationLu Yu 0004, Xialei Liu, Joost van de Weijer 0001. tnn, 34(11):9116-9127, November 2023. [doi]

Dynamic Prompt Learning: Addressing Cross-Attention Leakage for Text-Based Image EditingKai Wang 0060, Fei Yang, Shiqi Yang, Muhammad Atif Butt, Joost van de Weijer 0001. nips 2023: [doi]

Attribution-aware Weight Transfer: A Warm-Start Initialization for Class-Incremental Semantic SegmentationDipam Goswami, René Schuster, Joost van de Weijer 0001, Didier Stricker. wacv 2023: 3194-3203 [doi]

FeCAM: Exploiting the Heterogeneity of Class Distributions in Exemplar-Free Continual LearningDipam Goswami, Yuyang Liu, Bartlomiej Twardowski, Joost van de Weijer 0001. nips 2023: [doi]

Generative Multi-Label Zero-Shot LearningAkshita Gupta, Sanath Narayan, Salman Khan 0001, Fahad Shahbaz Khan, Ling Shao 0001, Joost van de Weijer 0001. pami, 45(12):14611-14624, December 2023. [doi]

The First Visual Object Tracking Segmentation VOTS2023 Challenge ResultsMatej 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 0007, 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 0001, 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 0001, Luc Van Gool, Jash Vira, Stéphane Vujasinovic, Cheng Wan, Jia Wan, Dong Wang 0004, Fei Wang 0032, Feifan Wang, He Wang, Limin Wang, Song Wang, Yaowei Wang, Zhepeng Wang, Gangshan Wu, Jiannan Wu, Qiangqiang Wu, Xiaojun Wu 0001, Anqi Xiao, Jinxia Xie, Chenlong Xu, Min Xu, Tianyang Xu, Yuanyou Xu, Bin Yan 0004, Dawei Yang, Ming-Hsuan Yang 0001, Tianyu Yang, Yi Yang, Zongxin Yang, Xuanwu Yin, Fisher Yu 0001, 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. iccvw 2023: 1788-1810 [doi]

3D-Aware Multi-Class Image-to-Image Translation with NeRFsSenmao Li, Joost van de Weijer 0001, Yaxing Wang, Fahad Shahbaz Khan, Meiqin Liu, Jian Yang. cvpr 2023: 12652-12662 [doi]

Augmented Box Replay: Overcoming Foreground Shift for Incremental Object DetectionYuyang Liu, Yang Cong, Dipam Goswami, Xialei Liu, Joost van de Weijer 0001. iccv 2023: 11333-11343 [doi]

Class-Incremental Learning: Survey and Performance Evaluation on Image ClassificationMarc Masana, Xialei Liu, Bartlomiej Twardowski, Mikel Menta, Andrew D. Bagdanov, Joost van de Weijer 0001. pami, 45(5):5513-5533, May 2023. [doi]

ICICLE: Interpretable Class Incremental Continual LearningDawid Rymarczyk, Joost van de Weijer 0001, Bartosz Zielinski 0001, Bartlomiej Twardowski. iccv 2023: 1887-1898 [doi]

Improving Online Continual Learning Performance and Stability with Temporal EnsemblesAlbin Soutif-Cormerais, Antonio Carta, Joost van de Weijer 0001. collas 2023: 828-845 [doi]

A Comprehensive Empirical Evaluation on Online Continual LearningAlbin Soutif-Cormerais, Antonio Carta, Andrea Cossu, Julio Hurtado, Vincenzo Lomonaco, Joost van de Weijer 0001, Hamed Hemati. iccvw 2023: 3510-3520 [doi]

Density Map Distillation for Incremental Object CountingChenshen Wu, Joost van de Weijer 0001. cvpr 2023: 2506-2515 [doi]

Endpoints Weight Fusion for Class Incremental Semantic SegmentationJia-Wen Xiao, Chang-Bin Zhang, Jiekang Feng, Xialei Liu, Joost van de Weijer 0001, Ming-Ming Cheng. cvpr 2023: 7204-7213 [doi]

Casting a BAIT for offline and online source-free domain adaptationShiqi Yang, Yaxing Wang, Luis Herranz, Shangling Jui, Joost van de Weijer 0001. cviu, 234:103747, September 2023. [doi]

Trust Your Good Friends: Source-Free Domain Adaptation by Reciprocal Neighborhood ClusteringShiqi Yang, Yaxing Wang, Joost van de Weijer 0001, Luis Herranz, Shangling Jui, Jian Yang 0003. pami, 45(12):15883-15895, December 2023. [doi]

Planckian Jitter: countering the color-crippling effects of color jitter on self-supervised trainingSimone Zini, Alex Gomez-Villa, Marco Buzzelli, Bartlomiej Twardowski, Andrew D. Bagdanov, Joost van de Weijer 0001. iclr 2023: [doi]

2022

MVMO: A Multi-Object Dataset for Wide Baseline Multi-View Semantic SegmentationAitor Alvarez-Gila, Joost van de Weijer 0001, Yaxing Wang, Estíbaliz Garrote. icip 2022: 1166-1170 [doi]

Class-Balanced Active Learning for Image ClassificationJavad Zolfaghari Bengar, Joost van de Weijer 0001, Laura Lopez-Fuentes, Bogdan C. Raducanu. wacv 2022: 3707-3716 [doi]

Area Under the ROC Curve Maximization for Metric LearningBojana Gajic, Ariel Amato, Ramon Baldrich, Joost van de Weijer 0001, Carlo Gatta. cvpr 2022: 2806-2815 [doi]

Continually Learning Self-Supervised Representations with Projected Functional RegularizationAlex Gomez-Villa, Bartlomiej Twardowski, Lu Yu, Andrew D. Bagdanov, Joost van de Weijer 0001. cvpr 2022: 3866-3876 [doi]

Transferring Unconditional to Conditional GANs with Hyper-ModulationHéctor Laria Mantecon, Yaxing Wang, Joost van de Weijer 0001, Bogdan C. Raducanu. cvpr 2022: 3839-3848 [doi]

Towards Exemplar-Free Continual Learning in Vision Transformers: an Account of Attention, Functional and Weight RegularizationFrancesco Pelosin, Saurav Jha, Andrea Torsello, Bogdan C. Raducanu, Joost van de Weijer 0001. cvpr 2022: 3819-3828 [doi]

Distilling GANs with Style-Mixed Triplets for X2I Translation with Limited DataYaxing Wang, Joost van de Weijer 0001, Lu Yu 0004, Shangling Jui. iclr 2022: [doi]

Attention Distillation: self-supervised vision transformer students need more guidanceKai Wang, Fei Yang 0004, Joost van de Weijer 0001. bmvc 2022: 666 [doi]

Positive Pair Distillation Considered Harmful: Continual Meta Metric Learning for Lifelong Object Re-IdentificationKai Wang, Chenshen Wu, Andy Bagdanov, Xialei Liu, Shiqi Yang, Shangling Jui, Joost van de Weijer 0001. bmvc 2022: 38 [doi]

Incremental Meta-Learning via Episodic Replay Distillation for Few-Shot Image RecognitionKai Wang, Xialei Liu, Andy Bagdanov, Luis Herranz, Shangling Jui, Joost van de Weijer 0001. cvpr 2022: 3728-3738 [doi]

Attracting and Dispersing: A Simple Approach for Source-free Domain AdaptationShiqi Yang, Yaxing Wang, Kai Wang, Shangling Jui, Joost van de Weijer 0001. nips 2022: [doi]

Visual Transformers with Primal Object Queries for Multi-Label Image ClassificationVacit Oguz Yazici, Joost van de Weijer 0001, LongLong Yu. icpr 2022: 3014-3020 [doi]

2021

Reducing Label Effort: Self-Supervised meets Active LearningJavad Zolfaghari Bengar, Joost van de Weijer 0001, Bartlomiej Twardowski, Bogdan C. Raducanu. iccvw 2021: 1631-1639 [doi]

Hallucinating Saliency Maps for Fine-grained Image Classification for Limited Data DomainsCarola Figueroa Flores, Bogdan Raducanu, David Berga, Joost van de Weijer 0001. visapp 2021: 163-171 [doi]

Saliency for free: Saliency prediction as a side-effect of object recognitionCarola Figueroa Flores, David Berga, Joost van de Weijer 0001, Bogdan Raducanu. prl, 150:1-7, 2021. [doi]

Distributed Learning and Inference With Compressed ImagesSudeep Katakol, Basem Elbarashy, Luis Herranz, Joost van de Weijer 0001, Antonio M. López 0001. TIP, 30:3069-3083, 2021. [doi]

Ternary Feature Masks: Zero-Forgetting for Task-Incremental LearningMarc Masana, Tinne Tuytelaars, Joost van de Weijer 0001. cvpr 2021: 3570-3579 [doi]

Controlling biases and diversity in diverse image-to-image translationYaxing Wang, Abel Gonzalez-Garcia, Luis Herranz, Joost van de Weijer 0001. cviu, 202:103082, 2021. [doi]

TransferI2I: Transfer Learning for Image-to-Image Translation from Small DatasetsYaxing Wang, Héctor Laria Mantecon, Joost van de Weijer 0001, Laura Lopez-Fuentes, Bogdan C. Raducanu. iccv 2021: 13990-13999 [doi]

ACAE-REMIND for online continual learning with compressed feature replayKai Wang, Joost van de Weijer 0001, Luis Herranz. prl, 150:122-129, 2021. [doi]

Continual Learning in Cross-Modal RetrievalKai Wang, Luis Herranz, Joost van de Weijer 0001. cvpr 2021: 3628-3638 [doi]

HCV: Hierarchy-Consistency Verification for Incremental Implicitly-Refined ClassificationKai Wang, Xialei Liu, Luis Herranz, Joost van de Weijer 0001. bmvc 2021: 119 [doi]

Generalized Source-free Domain AdaptationShiqi Yang, Yaxing Wang, Joost van de Weijer 0001, Luis Herranz, Shangling Jui. iccv 2021: 8958-8967 [doi]

Exploiting the Intrinsic Neighborhood Structure for Source-free Domain AdaptationShiqi Yang, Yaxing Wang, Joost van de Weijer 0001, Luis Herranz, Shangling Jui. nips 2021: 29393-29405 [doi]

On Implicit Attribute Localization for Generalized Zero-Shot LearningShiqi Yang, Kai Wang, Luis Herranz, Joost van de Weijer 0001. spl, 28:872-876, 2021. [doi]

2020

Variable Rate Deep Image Compression With Modulated AutoencoderFei Yang 0004, Luis Herranz, Joost van de Weijer 0001, José Antonio Iglesias Guitián, Antonio M. López 0001, Mikhail G. Mozerov. spl, 27:331-335, 2020. [doi]

Semantic Drift Compensation for Class-Incremental LearningLu Yu 0004, Bartlomiej Twardowski, Xialei Liu, Luis Herranz, Kai Wang, Yongmei Cheng, Shangling Jui, Joost van de Weijer 0001. cvpr 2020: 6980-6989 [doi]

Saliency from High-Level Semantic Image FeaturesAymen Azaza, Joost van de Weijer 0001, Ali Douik, Javad Zolfaghari Bengar, Marc Masana. sncs, 1(4):200, 2020. [doi]

RATT: Recurrent Attention to Transient Tasks for Continual Image CaptioningRiccardo Del Chiaro, Bartlomiej Twardowski, Andrew D. Bagdanov, Joost van de Weijer 0001. nips 2020: [doi]

Object proposals for salient object segmentation in videosRahma Kalboussi, Aymen Azaza, Joost van de Weijer 0001, Mehrez Abdellaoui, Ali Douik. mta, 79(13-14):8677-8693, 2020. [doi]

Learning to Rank for Active Learning: A Listwise ApproachMinghan Li, Xialei Liu, Joost van de Weijer 0001, Bogdan Raducanu. icpr 2021: 5587-5594 [doi]

Generative Feature Replay For Class-Incremental LearningXialei Liu, Chenshen Wu, Mikel Menta, Luis Herranz, Bogdan Raducanu, Andrew D. Bagdanov, Shangling Jui, Joost van de Weijer 0001. cvpr 2020: 915-924 [doi]

Mix and Match Networks: Cross-Modal Alignment for Zero-Pair Image-to-Image TranslationYaxing Wang, Luis Herranz, Joost van de Weijer 0001. ijcv, 128(12):2849-2872, 2020. [doi]

MineGAN: Effective Knowledge Transfer From GANs to Target Domains With Few ImagesYaxing Wang, Abel Gonzalez-Garcia, David Berga, Luis Herranz, Fahad Shahbaz Khan, Joost van de Weijer 0001. cvpr 2020: 9329-9338 [doi]

Semi-Supervised Learning for Few-Shot Image-to-Image TranslationYaxing Wang, Salman Khan, Abel Gonzalez-Garcia, Joost van de Weijer 0001, Fahad Shahbaz Khan. cvpr 2020: 4452-4461 [doi]

DeepI2I: Enabling Deep Hierarchical Image-to-Image Translation by Transferring from GANsYaxing Wang, Lu Yu 0004, Joost van de Weijer 0001. nips 2020: [doi]

Orderless Recurrent Models for Multi-Label ClassificationVacit Oguz Yazici, Abel Gonzalez-Garcia, Arnau Ramisa, Bartlomiej Twardowski, Joost van de Weijer 0001. cvpr 2020: 13437-13446 [doi]

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