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ORCIDJoost van de Weijer 0001
Person information
- affiliation: Universitat Autònoma de Barcelona, Spain
Other persons with the same name
- Joost van de Weijer 0002
![[0000-0001-9843-3143]](https://dblp.uni-trier.de./img/orcid-mark.12x12.png "0000-0001-9843-3143")
— Lund University, Centre for Languages and Literature, Sweden
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Journal Articles
- 2024
[j56]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): 490-514 (2024)- [j55]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: 127935 (2024) - [j54]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): 3215-3231 (2024) - [j53]Jiang Qin, Kai Wang, Bin Zou, Lamei Zhang, Joost van de Weijer:
Conditional Diffusion Model With Spatial-Frequency Refinement for SAR-to-Optical Image Translation. IEEE Trans. Geosci. Remote. Sens. 62: 1-14 (2024) - [j52]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) - 2023
- [j51]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: 103747 (2023) - [j50]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): 5513-5533 (2023) - [j49]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): 14611-14624 (2023) - [j48]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): 15883-15895 (2023) - [j47]Lu Yu, Xialei Liu, Joost van de Weijer:
Self-Training for Class-Incremental Semantic Segmentation. IEEE Trans. Neural Networks Learn. Syst. 34(11): 9116-9127 (2023) - 2021
- [j46]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: 103082 (2021) - [j45]Carola Figueroa Flores, David Berga, Joost van de Weijer, Bogdan Raducanu:
Saliency for free: Saliency prediction as a side-effect of object recognition. Pattern Recognit. Lett. 150: 1-7 (2021) - [j44]Kai Wang, Joost van de Weijer, Luis Herranz:
ACAE-REMIND for online continual learning with compressed feature replay. Pattern Recognit. Lett. 150: 122-129 (2021) - [j43]Shiqi Yang, Kai Wang, Luis Herranz, Joost van de Weijer:
On Implicit Attribute Localization for Generalized Zero-Shot Learning. IEEE Signal Process. Lett. 28: 872-876 (2021) - [j42]Sudeep Katakol, Basem Elbarashy, Luis Herranz, Joost van de Weijer, Antonio M. López:
Distributed Learning and Inference With Compressed Images. IEEE Trans. Image Process. 30: 3069-3083 (2021) - 2020
- [j41]Fei Yang, Yongmei Cheng, Joost van de Weijer, Mikhail G. Mozerov:
Improved Discrete Optical Flow Estimation With Triple Image Matching Cost. IEEE Access 8: 17093-17102 (2020) - [j40]Yaxing Wang, Luis Herranz, Joost van de Weijer:
Mix and Match Networks: Cross-Modal Alignment for Zero-Pair Image-to-Image Translation. Int. J. Comput. Vis. 128(12): 2849-2872 (2020) - [j39]Rahma Kalboussi, Aymen Azaza, Joost van de Weijer, Mehrez Abdellaoui, Ali Douik:
Object proposals for salient object segmentation in videos. Multim. Tools Appl. 79(13-14): 8677-8693 (2020) - [j38]Gabriel Villalonga, Joost van de Weijer, Antonio M. López:
Recognizing New Classes with Synthetic Data in the Loop: Application to Traffic Sign Recognition. Sensors 20(3): 583 (2020) - [j37]Aymen Azaza, Joost van de Weijer, Ali Douik, Javad Zolfaghari Bengar, Marc Masana:
Saliency from High-Level Semantic Image Features. SN Comput. Sci. 1(4): 200 (2020) - [j36]Fei Yang, Luis Herranz, Joost van de Weijer, José Antonio Iglesias Guitián, Antonio M. López, Mikhail G. Mozerov:
Variable Rate Deep Image Compression With Modulated Autoencoder. IEEE Signal Process. Lett. 27: 331-335 (2020) - 2019
- [j35]Aitor Alvarez-Gila, Adrian Galdran, Estíbaliz Garrote, Joost van de Weijer:
Self-supervised blur detection from synthetically blurred scenes. Image Vis. Comput. 92 (2019) - [j34]Xialei Liu, Joost van de Weijer, Andrew D. Bagdanov:
Exploiting Unlabeled Data in CNNs by Self-Supervised Learning to Rank. IEEE Trans. Pattern Anal. Mach. Intell. 41(8): 1862-1878 (2019) - [j33]Carola Figueroa Flores, Abel Gonzalez-Garcia, Joost van de Weijer, Bogdan Raducanu:
Saliency for fine-grained object recognition in domains with scarce training data. Pattern Recognit. 94: 62-73 (2019) - [j32]Mikhail G. Mozerov, Fei Yang, Joost van de Weijer:
Sparse Data Interpolation Using the Geodesic Distance Affinity Space. IEEE Signal Process. Lett. 26(6): 943-947 (2019) - [j31]Lichao Zhang, Abel Gonzalez-Garcia, Joost van de Weijer, Martin Danelljan, Fahad Shahbaz Khan:
Synthetic Data Generation for End-to-End Thermal Infrared Tracking. IEEE Trans. Image Process. 28(4): 1837-1850 (2019) - [j30]Mikhail G. Mozerov, Joost van de Weijer:
One-View Occlusion Detection for Stereo Matching With a Fully Connected CRF Model. IEEE Trans. Image Process. 28(6): 2936-2947 (2019) - 2018
- [j29]Aymen Azaza, Joost van de Weijer, Ali Douik, Marc Masana:
Context proposals for saliency detection. Comput. Vis. Image Underst. 174: 1-11 (2018) - [j28]Laura Lopez-Fuentes, Joost van de Weijer, Manuel González Hidalgo, Harald Skinnemoen, Andrew D. Bagdanov:
Review on computer vision techniques in emergency situations. Multim. Tools Appl. 77(13): 17069-17107 (2018) - [j27]Fahad Shahbaz Khan, Joost van de Weijer, Rao Muhammad Anwer, Andrew D. Bagdanov, Michael Felsberg, Jorma Laaksonen:
Scale coding bag of deep features for human attribute and action recognition. Mach. Vis. Appl. 29(1): 55-71 (2018) - [j26]Lu Yu, Lichao Zhang, Joost van de Weijer, Fahad Shahbaz Khan, Yongmei Cheng, C. Alejandro Párraga:
Beyond Eleven Color Names for Image Understanding. Mach. Vis. Appl. 29(2): 361-373 (2018) - 2017
- [j25]Mikhail G. Mozerov, Joost van de Weijer:
Improved Recursive Geodesic Distance Computation for Edge Preserving Filter. IEEE Trans. Image Process. 26(8): 3696-3706 (2017) - 2016
- [j24]Raimondo Schettini, Joost van de Weijer, Claudio Cusano, Paolo Napoletano:
Special Section Guest Editorial: Color in Texture and Material Recognition. J. Electronic Imaging 25(6): 061401 (2016) - 2015
- [j23]Fahad Shahbaz Khan, Rao Muhammad Anwer, Joost van de Weijer, Michael Felsberg, Jorma Laaksonen:
Compact color-texture description for texture classification. Pattern Recognit. Lett. 51: 16-22 (2015) - [j22]Mikhail G. Mozerov, Joost van de Weijer:
Accurate Stereo Matching by Two-Step Energy Minimization. IEEE Trans. Image Process. 24(3): 1153-1163 (2015) - [j21]Fahad Shahbaz Khan, Jiaolong Xu, Joost van de Weijer, Andrew D. Bagdanov, Rao Muhammad Anwer, Antonio M. López:
Recognizing Actions Through Action-Specific Person Detection. IEEE Trans. Image Process. 24(11): 4422-4432 (2015) - [j20]Mikhail G. Mozerov, Joost van de Weijer:
Global Color Sparseness and a Local Statistics Prior for Fast Bilateral Filtering. IEEE Trans. Image Process. 24(12): 5842-5853 (2015) - 2014
- [j19]Fahad Shahbaz Khan, Shida Beigpour, Joost van de Weijer, Michael Felsberg:
Painting-91: a large scale database for computational painting categorization. Mach. Vis. Appl. 25(6): 1385-1397 (2014) - [j18]Shida Beigpour, Christian Riess, Joost van de Weijer, Elli Angelopoulou:
Multi-Illuminant Estimation With Conditional Random Fields. IEEE Trans. Image Process. 23(1): 83-96 (2014) - [j17]Fahad Shahbaz Khan, Joost van de Weijer, Rao Muhammad Anwer, Michael Felsberg, Carlo Gatta:
Semantic Pyramids for Gender and Action Recognition. IEEE Trans. Image Process. 23(8): 3633-3645 (2014) - 2013
- [j16]Fahad Shahbaz Khan, Rao Muhammad Anwer, Joost van de Weijer, Andrew D. Bagdanov, Antonio M. López, Michael Felsberg:
Coloring Action Recognition in Still Images. Int. J. Comput. Vis. 105(3): 205-221 (2013) - 2012
- [j15]Xavier Boix, Josep M. Gonfaus, Joost van de Weijer, Andrew D. Bagdanov, Joan Serrat Gual, Jordi Gonzàlez:
Harmony Potentials - Fusing Global and Local Scale for Semantic Image Segmentation. Int. J. Comput. Vis. 96(1): 83-102 (2012) - [j14]Fahad Shahbaz Khan, Joost van de Weijer, María Vanrell:
Modulating Shape Features by Color Attention for Object Recognition. Int. J. Comput. Vis. 98(1): 49-64 (2012) - [j13]Arjan Gijsenij, Theo Gevers, Joost van de Weijer:
Improving Color Constancy by Photometric Edge Weighting. IEEE Trans. Pattern Anal. Mach. Intell. 34(5): 918-929 (2012) - [j12]Noha M. Elfiky, Fahad Shahbaz Khan, Joost van de Weijer, Jordi Gonzàlez:
Discriminative compact pyramids for object and scene recognition. Pattern Recognit. 45(4): 1627-1636 (2012) - 2011
- [j11]Eduard Vazquez, Ramon Baldrich, Joost van de Weijer, María Vanrell:
Describing Reflectances for Color Segmentation Robust to Shadows, Highlights, and Textures. IEEE Trans. Pattern Anal. Mach. Intell. 33(5): 917-930 (2011) - [j10]Arjan Gijsenij, Theo Gevers, Joost van de Weijer:
Computational Color Constancy: Survey and Experiments. IEEE Trans. Image Process. 20(9): 2475-2489 (2011) - 2010
- [j9]Arjan Gijsenij, Theo Gevers, Joost van de Weijer:
Generalized Gamut Mapping using Image Derivative Structures for Color Constancy. Int. J. Comput. Vis. 86(2-3): 127-139 (2010) - 2009
- [j8]Joost van de Weijer, Cordelia Schmid, Jakob Verbeek, Diane Larlus:
Learning Color Names for Real-World Applications. IEEE Trans. Image Process. 18(7): 1512-1523 (2009) - 2007
- [j7]Joost van de Weijer, Theo Gevers, Arjan Gijsenij:
Edge-Based Color Constancy. IEEE Trans. Image Process. 16(9): 2207-2214 (2007) - 2006
- [j6]Joost van de Weijer, Theo Gevers, Andrew D. Bagdanov:
Boosting Color Saliency in Image Feature Detection. IEEE Trans. Pattern Anal. Mach. Intell. 28(1): 150-156 (2006) - [j5]Joost van de Weijer, Theo Gevers, Arnold W. M. Smeulders:
Robust photometric invariant features from the color tensor. IEEE Trans. Image Process. 15(1): 118-127 (2006) - 2005
- [j4]Joost van de Weijer, Rein van den Boomgaard:
Least Squares and Robust Estimation of Local Image Structure. Int. J. Comput. Vis. 64(2-3): 143-155 (2005) - [j3]Joost van de Weijer, Theo Gevers, Jan-Mark Geusebroek:
Edge and Corner Detection by Photometric Quasi-Invariants. IEEE Trans. Pattern Anal. Mach. Intell. 27(4): 625-630 (2005) - 2003
- [j2]Jan-Mark Geusebroek, Arnold W. M. Smeulders, Joost van de Weijer:
Fast anisotropic Gauss filtering. IEEE Trans. Image Process. 12(8): 938-943 (2003) - 2001
- [j1]Joost van de Weijer, Lucas J. van Vliet, Piet W. Verbeek, Michael van Ginkel:
Curvature Estimation in Oriented Patterns Using Curvilinear Models Applied to Gradient Vector Fields. IEEE Trans. Pattern Anal. Mach. Intell. 23(9): 1035-1042 (2001)
Conference and Workshop Papers
- 2024
- [c133]Dipam Goswami, Bartlomiej Twardowski, Joost van de Weijer:
Calibrating Higher-Order Statistics for Few-Shot Class-Incremental Learning with Pre-trained Vision Transformers. CVPR Workshops 2024: 4075-4084 - [c132]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. CVPR Workshops 2024: 4182-4186 - [c131]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. CVPR 2024: 28525-28534 - [c130]Claudio Rota, Marco Buzzelli, Joost van de Weijer:
Enhancing Perceptual Quality in Video Super-Resolution Through Temporally-Consistent Detail Synthesis Using Diffusion Models. ECCV (12) 2024: 36-53 - [c129]Muhammad Atif Butt, Kai Wang, Javier Vazquez-Corral, Joost van de Weijer:
ColorPeel: Color Prompt Learning with Diffusion Models via Color and Shape Disentanglement. ECCV (7) 2024: 456-472 - [c128]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. ECCV (7) 2024: 473-490 - [c127]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 - [c126]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 - [c125]Chuanming Tang, Kai Wang, Joost van de Weijer:
IterInv: Iterative Inversion for Pixel-Level T2I Models. ICME 2024: 1-6 - [c124]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: 587-594 - [c123]Alex Gomez-Villa, Bartlomiej Twardowski, Kai Wang, Joost van de Weijer:
Plasticity-Optimized Complementary Networks for Unsupervised Continual Learning. WACV 2024: 1679-1689 - 2023
- [c122]Albin Soutif-Cormerais, Antonio Carta, Joost van de Weijer:
Improving Online Continual Learning Performance and Stability with Temporal Ensembles. CoLLAs 2023: 828-845 - [c121]Chenshen Wu, Joost van de Weijer:
Density Map Distillation for Incremental Object Counting. CVPR Workshops 2023: 2506-2515 - [c120]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: 7204-7213 - [c119]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: 12652-12662 - [c118]Dawid Rymarczyk, Joost van de Weijer, Bartosz Zielinski, Bartlomiej Twardowski:
ICICLE: Interpretable Class Incremental Continual Learning. ICCV 2023: 1887-1898 - [c117]Yuyang Liu, Yang Cong, Dipam Goswami, Xialei Liu, Joost van de Weijer:
Augmented Box Replay: Overcoming Foreground Shift for Incremental Object Detection. ICCV 2023: 11333-11343 - [c116]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: 1788-1810 - [c115]Fei Yang, Kai Wang, Joost van de Weijer:
ScrollNet: Dynamic Weight Importance for Continual Learning. ICCV (Workshops) 2023: 3337-3347 - [c114]Eduardo Aguilar, Bogdan Raducanu, Petia Radeva, Joost van de Weijer:
Continual Evidential Deep Learning for Out-of-Distribution Detection. ICCV (Workshops) 2023: 3436-3446 - [c113]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: 3510-3520 - [c112]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 - [c111]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 - [c110]Dipam Goswami, Yuyang Liu, Bartlomiej Twardowski, Joost van de Weijer:
FeCAM: Exploiting the Heterogeneity of Class Distributions in Exemplar-Free Continual Learning. NeurIPS 2023 - [c109]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: 3194-3203 - 2022
- [c108]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: 38 - [c107]Kai Wang, Fei Yang, Joost van de Weijer:
Attention Distillation: self-supervised vision transformer students need more guidance. BMVC 2022: 666 - [c106]Bojana Gajic, Ariel Amato, Ramon Baldrich, Joost van de Weijer, Carlo Gatta:
Area Under the ROC Curve Maximization for Metric Learning. CVPR Workshops 2022: 2806-2815 - [c105]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: 3728-3738 - [c104]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: 3819-3828 - [c103]Héctor Laria Mantecon, Yaxing Wang, Joost van de Weijer, Bogdan Raducanu:
Transferring Unconditional to Conditional GANs with Hyper-Modulation. CVPR Workshops 2022: 3839-3848 - [c102]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: 3866-3876 - [c101]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: 1166-1170 - [c100]Yaxing Wang, Joost van de Weijer, Lu Yu, Shangling Jui:
Distilling GANs with Style-Mixed Triplets for X2I Translation with Limited Data. ICLR 2022 - [c99]Vacit Oguz Yazici, Joost van de Weijer, Longlong Yu:
Visual Transformers with Primal Object Queries for Multi-Label Image Classification. ICPR 2022: 3014-3020 - [c98]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 - [c97]Javad Zolfaghari Bengar, Joost van de Weijer, Laura Lopez-Fuentes, Bogdan Raducanu:
Class-Balanced Active Learning for Image Classification. WACV 2022: 3707-3716 - 2021
- [c96]Kai Wang, Xialei Liu, Luis Herranz, Joost van de Weijer:
HCV: Hierarchy-Consistency Verification for Incremental Implicitly-Refined Classification. BMVC 2021: 119 - [c95]Javad Zolfaghari Bengar, Bogdan Raducanu, Joost van de Weijer:
When Deep Learners Change Their Mind: Learning Dynamics for Active Learning. CAIP (1) 2021: 403-413 - [c94]Marc Masana, Tinne Tuytelaars, Joost van de Weijer:
Ternary Feature Masks: Zero-Forgetting for Task-Incremental Learning. CVPR Workshops 2021: 3570-3579 - [c93]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 W. 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: 3600-3610 - [c92]Kai Wang, Luis Herranz, Joost van de Weijer:
Continual Learning in Cross-Modal Retrieval. CVPR Workshops 2021: 3628-3638 - [c91]Shiqi Yang, Yaxing Wang, Joost van de Weijer, Luis Herranz, Shangling Jui:
Generalized Source-free Domain Adaptation. ICCV 2021: 8958-8967 - [c90]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: 13990-13999 - [c89]Javad Zolfaghari Bengar, Joost van de Weijer, Bartlomiej Twardowski, Bogdan Raducanu:
Reducing Label Effort: Self-Supervised meets Active Learning. ICCVW 2021: 1631-1639 - [c88]Shiqi Yang, Yaxing Wang, Joost van de Weijer, Luis Herranz, Shangling Jui:
Exploiting the Intrinsic Neighborhood Structure for Source-free Domain Adaptation. NeurIPS 2021: 29393-29405 - [c87]Carola Figueroa Flores, Bogdan Raducanu, David Berga, Joost van de Weijer:
Hallucinating Saliency Maps for Fine-grained Image Classification for Limited Data Domains. VISIGRAPP (4: VISAPP) 2021: 163-171 - 2020
- [c86]Xialei Liu, Chenshen Wu, Mikel Menta, Luis Herranz, Bogdan Raducanu, Andrew D. Bagdanov, Shangling Jui, Joost van de Weijer:
Generative Feature Replay For Class-Incremental Learning. CVPR Workshops 2020: 915-924 - [c85]Yaxing Wang, Salman H. Khan, Abel Gonzalez-Garcia, Joost van de Weijer, Fahad Shahbaz Khan:
Semi-Supervised Learning for Few-Shot Image-to-Image Translation. CVPR 2020: 4452-4461 - [c84]Lu Yu, Bartlomiej Twardowski, Xialei Liu, Luis Herranz, Kai Wang, Yongmei Cheng, Shangling Jui, Joost van de Weijer:
Semantic Drift Compensation for Class-Incremental Learning. CVPR 2020: 6980-6989 - [c83]Yaxing Wang, Abel Gonzalez-Garcia, David Berga, Luis Herranz, Fahad Shahbaz Khan, Joost van de Weijer:
MineGAN: Effective Knowledge Transfer From GANs to Target Domains With Few Images. CVPR 2020: 9329-9338 - [c82]Vacit Oguz Yazici, Abel Gonzalez-Garcia, Arnau Ramisa, Bartlomiej Twardowski, Joost van de Weijer:
Orderless Recurrent Models for Multi-Label Classification. CVPR 2020: 13437-13446 - [c81]Minghan Li, Xialei Liu, Joost van de Weijer, Bogdan Raducanu:
Learning to Rank for Active Learning: A Listwise Approach. ICPR 2020: 5587-5594 - [c80]Riccardo Del Chiaro, Bartlomiej Twardowski, Andrew D. Bagdanov, Joost van de Weijer:
RATT: Recurrent Attention to Transient Tasks for Continual Image Captioning. NeurIPS 2020 - [c79]Yaxing Wang, Lu Yu, Joost van de Weijer:
DeepI2I: Enabling Deep Hierarchical Image-to-Image Translation by Transferring from GANs. NeurIPS 2020 - 2019
- [c78]Lu Yu, Vacit Oguz Yazici, Xialei Liu, Joost van de Weijer, Yongmei Cheng, Arnau Ramisa:
Learning Metrics From Teachers: Compact Networks for Image Embedding. CVPR 2019: 2907-2916 - [c77]Hamed H. Aghdam, Abel Gonzalez-Garcia, Antonio M. López, Joost van de Weijer:
Active Learning for Deep Detection Neural Networks. ICCV 2019: 3671-3679 - [c76]Lichao Zhang, Abel Gonzalez-Garcia, Joost van de Weijer, Martin Danelljan, Fahad Shahbaz Khan:
Learning the Model Update for Siamese Trackers. ICCV 2019: 4009-4018 - [c75]Javad Zolfaghari Bengar, Abel Gonzalez-Garcia, Gabriel Villalonga, Bogdan Raducanu, Hamed Habibi Aghdam, Mikhail G. Mozerov, Antonio M. López, Joost van de Weijer:
Temporal Coherence for Active Learning in Videos. ICCV Workshops 2019: 914-923 - [c74]Matej Kristan, Amanda Berg, Linyu Zheng, Litu Rout, Luc Van Gool, Luca Bertinetto, Martin Danelljan, Matteo Dunnhofer, Meng Ni, Min Young Kim, Ming Tang, Ming-Hsuan Yang, Abdelrahman Eldesokey, Naveen Paluru, Niki Martinel, Pengfei Xu, Pengfei Zhang, Pengkun Zheng, Pengyu Zhang, Philip H. S. Torr, Qi Zhang, Qiang Wang, Qing Guo, Radu Timofte, Jani Käpylä, Rama Krishna Sai Subrahmanyam Gorthi, Richard M. Everson, Ruize Han, Ruohan Zhang, Shan You, Shao-Chuan Zhao, Shengwei Zhao, Shihu Li, Shikun Li, Shiming Ge, Gustavo Fernández, Shuai Bai, Shuosen Guan, Tengfei Xing, Tianyang Xu, Tianyu Yang, Ting Zhang, Tomás Vojír, Wei Feng, Weiming Hu, Weizhao Wang, Abel Gonzalez-Garcia, Wenjie Tang, Wenjun Zeng, Wenyu Liu, Xi Chen, Xi Qiu, Xiang Bai, Xiao-Jun Wu, Xiaoyun Yang, Xier Chen, Xin Li, Alireza Memarmoghadam, Xing Sun, Xingyu Chen, Xinmei Tian, Xu Tang, Xuefeng Zhu, Yan Huang, Yanan Chen, Yanchao Lian, Yang Gu, Yang Liu, Andong Lu, Yanjie Chen, Yi Zhang, Yinda Xu, Yingming Wang, Yingping Li, Yu Zhou, Yuan Dong, Yufei Xu, Yunhua Zhang, Yunkun Li, Anfeng He, Zeyu Wang, Zhao Luo, Zhaoliang Zhang, Zhenhua Feng, Zhenyu He, Zhichao Song, Zhihao Chen, Zhipeng Zhang, Zhirong Wu, Zhiwei Xiong, Zhongjian Huang, Anton Varfolomieiev, Zhu Teng, Zihan Ni, Antoni B. Chan, Jirí Matas, Ardhendu Shekhar Tripathi, Arnold W. M. Smeulders, Bala Suraj Pedasingu, Bao Xin Chen, Baopeng Zhang, Baoyuan Wu, Bi Li, Bin He, Bin Yan, Bing Bai, Ales Leonardis, Bing Li, Bo Li, Byeong Hak Kim, Chao Ma, Chen Fang, Chen Qian, Cheng Chen, Chenglong Li, Chengquan Zhang, Chi-Yi Tsai, Michael Felsberg, Chong Luo, Christian Micheloni, Chunhui Zhang, Dacheng Tao, Deepak Gupta, Dejia Song, Dong Wang, Efstratios Gavves, Eunu Yi, Fahad Shahbaz Khan, Roman P. Pflugfelder, Fangyi Zhang, Fei Wang, Fei Zhao, George De Ath, Goutam Bhat, Guangqi Chen, Guangting Wang, Guoxuan Li, Hakan Cevikalp, Hao Du, Joni-Kristian Kämäräinen, Haojie Zhao, Hasan Saribas, Ho Min Jung, Hongliang Bai, Hongyuan Yu, Houwen Peng, Huchuan Lu, Hui Li, Jiakun Li, Luka Cehovin Zajc, Jianhua Li, Jianlong Fu, Jie Chen, Jie Gao, Jie Zhao, Jin Tang, Jing Li, Jingjing Wu, Jingtuo Liu, Jinqiao Wang, Ondrej Drbohlav, Jinqing Qi, Jinyue Zhang, John K. Tsotsos, Jong Hyuk Lee, Joost van de Weijer, Josef Kittler, Jun Ha Lee, Junfei Zhuang, Kangkai Zhang, Kangkang Wang, Alan Lukezic, Kenan Dai, Lei Chen, Lei Liu, Leida Guo, Li Zhang, Liang Wang, Liangliang Wang, Lichao Zhang, Lijun Wang, Lijun Zhou:
The Seventh Visual Object Tracking VOT2019 Challenge Results. ICCV Workshops 2019: 2206-2241 - [c73]Lichao Zhang, Martin Danelljan, Abel Gonzalez-Garcia, Joost van de Weijer, Fahad Shahbaz Khan:
Multi-Modal Fusion for End-to-End RGB-T Tracking. ICCV Workshops 2019: 2252-2261 - [c72]Yaxing Wang, Abel Gonzalez-Garcia, Joost van de Weijer, Luis Herranz:
SDIT: Scalable and Diverse Cross-domain Image Translation. ACM Multimedia 2019: 1267-1276 - 2018
- [c71]Marc Masana, Idoia Ruiz, Joan Serrat, Joost van de Weijer, Antonio M. López:
Metric Learning for Novelty and Anomaly Detection. BMVC 2018: 64 - [c70]Yaxing Wang, Joost van de Weijer, Luis Herranz:
Mix and Match Networks: Encoder-Decoder Alignment for Zero-Pair Image Translation. CVPR 2018: 5467-5476 - [c69]Xialei Liu, Joost van de Weijer, Andrew D. Bagdanov:
Leveraging Unlabeled Data for Crowd Counting by Learning to Rank. CVPR 2018: 7661-7669 - [c68]Matej Kristan, Ales Leonardis, Jiri Matas, Michael Felsberg, Roman P. Pflugfelder, Luka Cehovin Zajc, Tomás Vojír, Goutam Bhat, Alan Lukezic, Abdelrahman Eldesokey, Gustavo Fernández, Álvaro García-Martín, Álvaro Iglesias-Arias, A. Aydin Alatan, Abel González-García, Alfredo Petrosino, Alireza Memarmoghadam, Andrea Vedaldi, Andrej Muhic, Anfeng He, Arnold W. M. Smeulders, Asanka G. Perera, Bo Li, Boyu Chen, Changick Kim, Changsheng Xu, Changzhen Xiong, Cheng Tian, Chong Luo, Chong Sun, Cong Hao, Daijin Kim, Deepak Mishra, Deming Chen, Dong Wang, Dongyoon Wee, Efstratios Gavves, Erhan Gundogdu, Erik Velasco-Salido, Fahad Shahbaz Khan, Fan Yang, Fei Zhao, Feng Li, Francesco Battistone, George De Ath, Gorthi R. K. Sai Subrahmanyam, Guilherme Sousa Bastos, Haibin Ling, Hamed Kiani Galoogahi, Hankyeol Lee, Haojie Li, Haojie Zhao, Heng Fan, Honggang Zhang, Horst Possegger, Houqiang Li, Huchuan Lu, Hui Zhi, Huiyun Li, Hyemin Lee, Hyung Jin Chang, Isabela Drummond, Jack Valmadre, Jaime Spencer Martin, Javaan Singh Chahl, Jin Young Choi, Jing Li, Jinqiao Wang, Jinqing Qi, Jinyoung Sung, Joakim Johnander, João F. Henriques, Jongwon Choi, Joost van de Weijer, Jorge Rodríguez Herranz, José M. Martínez, Josef Kittler, Junfei Zhuang, Junyu Gao, Klemen Grm, Lichao Zhang, Lijun Wang, Lingxiao Yang, Litu Rout, Liu Si, Luca Bertinetto, Lutao Chu, Manqiang Che, Mario Edoardo Maresca, Martin Danelljan, Ming-Hsuan Yang, Mohamed H. Abdelpakey, Mohamed S. Shehata, Myunggu Kang, Namhoon Lee, Ning Wang, Ondrej Miksik, Payman Moallem, Pablo Vicente-Moñivar, Pedro Senna, Peixia Li, Philip H. S. Torr, Priya Mariam Raju, Ruihe Qian, Qiang Wang, Qin Zhou, Qing Guo, Rafael Martin Nieto, Rama Krishna Sai Subrahmanyam Gorthi, Ran Tao, Richard Bowden, Richard M. Everson, Runling Wang, Sangdoo Yun, Seokeon Choi, Sergio Vivas, Shuai Bai, Shuangping Huang, Sihang Wu, Simon Hadfield, Siwen Wang, Stuart Golodetz, Ming Tang, Tianyang Xu, Tianzhu Zhang, Tobias Fischer, Vincenzo Santopietro, Vitomir Struc, Wei Wang, Wangmeng Zuo, Wei Feng, Wei Wu, Wei Zou, Weiming Hu, Wengang Zhou, Wenjun Zeng, Xiaofan Zhang, Xiaohe Wu, Xiao-Jun Wu, Xinmei Tian, Yan Li, Yan Lu, Yee Wei Law, Yi Wu, Yiannis Demiris, Yicai Yang, Yifan Jiao, Yuhong Li, Yunhua Zhang, Yuxuan Sun, Zheng Zhang, Zheng Zhu, Zhenhua Feng, Zhihui Wang, Zhiqun He:
The Sixth Visual Object Tracking VOT2018 Challenge Results. ECCV Workshops (1) 2018: 3-53 - [c67]Yaxing Wang, Chenshen Wu, Luis Herranz, Joost van de Weijer, Abel Gonzalez-Garcia, Bogdan Raducanu:
Transferring GANs: Generating Images from Limited Data. ECCV (6) 2018: 220-236 - [c66]Marco Buzzelli, Joost van de Weijer, Raimondo Schettini:
Learning Illuminant Estimation from Object Recognition. ICIP 2018: 3234-3238 - [c65]Xialei Liu, Marc Masana, Luis Herranz, Joost van de Weijer, Antonio M. López, Andrew D. Bagdanov:
Rotate your Networks: Better Weight Consolidation and Less Catastrophic Forgetting. ICPR 2018: 2262-2268 - [c64]Lu Yu, Yongmei Cheng, Joost van de Weijer:
Weakly Supervised Domain-Specific Color Naming Based on Attention. ICPR 2018: 3019-3024 - [c63]Abel Gonzalez-Garcia, Joost van de Weijer, Yoshua Bengio:
Image-to-image translation for cross-domain disentanglement. NeurIPS 2018: 1294-1305 - [c62]Chenshen Wu, Luis Herranz, Xialei Liu, Yaxing Wang, Joost van de Weijer, Bogdan Raducanu:
Memory Replay GANs: Learning to Generate New Categories without Forgetting. NeurIPS 2018: 5966-5976 - [c61]Ozan Caglayan, Adrien Bardet, Fethi Bougares, Loïc Barrault, Kai Wang, Marc Masana, Luis Herranz, Joost van de Weijer:
LIUM-CVC Submissions for WMT18 Multimodal Translation Task. WMT (shared task) 2018: 597-602 - [c60]Vacit Oguz Yazici, Joost van de Weijer, Arnau Ramisa:
Color Naming for Multi-color Fashion Items. WorldCIST (3) 2018: 64-73 - 2017
- [c59]Rada Deeb, Damien Muselet, Mathieu Hébert, Alain Trémeau, Joost van de Weijer:
3D color charts for camera spectral sensitivity estimation. BMVC 2017 - [c58]Xialei Liu, Joost van de Weijer, Andrew D. Bagdanov:
RankIQA: Learning from Rankings for No-Reference Image Quality Assessment. ICCV 2017: 1040-1049 - [c57]Marc Masana, Joost van de Weijer, Luis Herranz, Andrew D. Bagdanov, José M. Álvarez:
Domain-Adaptive Deep Network Compression. ICCV 2017: 4299-4307 - [c56]Aitor Alvarez-Gila, Joost van de Weijer, Estíbaliz Garrote:
Adversarial Networks for Spatial Context-Aware Spectral Image Reconstruction from RGB. ICCV Workshops 2017: 480-490 - [c55]Laura Lopez-Fuentes, Joost van de Weijer, Marc Bolaños, Harald Skinnemoen:
Multi-modal Deep Learning Approach for Flood Detection. MediaEval 2017 - [c54]Rao Muhammad Anwer, Fahad Shahbaz Khan, Joost van de Weijer, Jorma Laaksonen:
TEX-Nets: Binary Patterns Encoded Convolutional Neural Networks for Texture Recognition. ICMR 2017: 125-132 - [c53]Rao Muhammad Anwer, Fahad Shahbaz Khan, Joost van de Weijer, Jorma Laaksonen:
Top-Down Deep Appearance Attention for Action Recognition. SCIA (1) 2017: 297-309 - [c52]Laura Lopez-Fuentes, Andrew D. Bagdanov, Joost van de Weijer, Harald Skinnemoen:
Bandwidth Limited Object Recognition in High Resolution Imagery. WACV 2017: 1197-1205 - [c51]Ozan Caglayan, Walid Aransa, Adrien Bardet, Mercedes García-Martínez, Fethi Bougares, Loïc Barrault, Marc Masana, Luis Herranz, Joost van de Weijer:
LIUM-CVC Submissions for WMT17 Multimodal Translation Task. WMT 2017: 432-439 - 2016
- [c50]Esteve Cervantes, Longlong Yu, Andrew D. Bagdanov, Marc Masana, Joost van de Weijer:
Hierarchical part detection with deep neural networks. ICIP 2016: 1933-1937 - [c49]Rao Muhammad Anwer, Fahad Shahbaz Khan, Joost van de Weijer, Jorma Laaksonen:
Combining Holistic and Part-based Deep Representations for Computational Painting Categorization. ICMR 2016: 339-342 - [c48]Ozan Caglayan, Walid Aransa, Yaxing Wang, Marc Masana, Mercedes García-Martínez, Fethi Bougares, Loïc Barrault, Joost van de Weijer:
Does Multimodality Help Human and Machine for Translation and Image Captioning? WMT 2016: 627-633 - 2015
- [c47]Joost van de Weijer, Fahad Shahbaz Khan:
An Overview of Color Name Applications in Computer Vision. CCIW 2015: 16-22 - [c46]Adria Ruiz, Joost van de Weijer, Xavier Binefa:
From Emotions to Action Units with Hidden and Semi-Hidden-Task Learning. ICCV 2015: 3703-3711 - [c45]Fahad Shahbaz Khan, Rao Muhammad Anwer, Joost van de Weijer, Michael Felsberg, Jorma Laaksonen:
Deep Semantic Pyramids for Human Attributes and Action Recognition. SCIA 2015: 341-353 - 2014
- [c44]Adria Ruiz, Joost van de Weijer, Xavier Binefa:
Regularized Multi-Concept MIL for weakly-supervised facial behavior categorization. BMVC 2014 - [c43]Carlo Gatta, Adriana Romero, Joost van de Weijer:
Unrolling Loopy Top-Down Semantic Feedback in Convolutional Deep Networks. CVPR Workshops 2014: 504-511 - [c42]Martin Danelljan, Fahad Shahbaz Khan, Michael Felsberg, Joost van de Weijer:
Adaptive Color Attributes for Real-Time Visual Tracking. CVPR 2014: 1090-1097 - [c41]Matej Kristan, Roman P. Pflugfelder, Ales Leonardis, Jiri Matas, Luka Cehovin, Georg Nebehay, Tomás Vojír, Gustavo Fernández, Alan Lukezic, Aleksandar Dimitriev, Alfredo Petrosino, Amir Saffari, Bo Li, Bohyung Han, Cherkeng Heng, Christophe Garcia, Dominik Pangersic, Gustav Häger, Fahad Shahbaz Khan, Franci Oven, Horst Possegger, Horst Bischof, Hyeonseob Nam, Jianke Zhu, Jijia Li, Jin Young Choi, Jinwoo Choi, João F. Henriques, Joost van de Weijer, Jorge Batista, Karel Lebeda, Kristoffer Öfjäll, Kwang Moo Yi, Lei Qin, Longyin Wen, Mario Edoardo Maresca, Martin Danelljan, Michael Felsberg, Ming-Ming Cheng, Philip H. S. Torr, Qingming Huang, Richard Bowden, Sam Hare, Samantha YueYing Lim, Seunghoon Hong, Shengcai Liao, Simon Hadfield, Stan Z. Li, Stefan Duffner, Stuart Golodetz, Thomas Mauthner, Vibhav Vineet, Weiyao Lin, Yang Li, Yuankai Qi, Zhen Lei, Zhi Heng Niu:
The Visual Object Tracking VOT2014 Challenge Results. ECCV Workshops (2) 2014: 191-217 - [c40]Fahad Shahbaz Khan, Joost van de Weijer, Andrew D. Bagdanov, Michael Felsberg:
Scale Coding Bag-of-Words for Action Recognition. ICPR 2014: 1514-1519 - 2013
- [c39]Fahad Shahbaz Khan, Joost van de Weijer, Sadiq Ali, Michael Felsberg:
Evaluating the Impact of Color on Texture Recognition. CAIP (1) 2013: 154-162 - [c38]Joost van de Weijer, Fahad Shahbaz Khan:
Fusing Color and Shape for Bag-of-Words Based Object Recognition. CCIW 2013: 25-34 - [c37]Rahat Khan, Joost van de Weijer, Fahad Shahbaz Khan, Damien Muselet, Christophe Ducottet, Cécile Barat:
Discriminative Color Descriptors. CVPR 2013: 2866-2873 - [c36]Christophe Rigaud, Jean-Christophe Burie, Jean-Marc Ogier, Dimosthenis Karatzas, Joost van de Weijer:
An Active Contour Model for Speech Balloon Detection in Comics. ICDAR 2013: 1240-1244 - [c35]Shida Beigpour, Marc Serra, Joost van de Weijer, Robert Benavente, María Vanrell, Olivier Penacchio, Dimitris Samaras:
Intrinsic image evaluation on synthetic complex scenes. ICIP 2013: 285-289 - [c34]Rahat Khan, Joost van de Weijer, Dimosthenis Karatzas, Damien Muselet:
Towards multispectral data acquisition with hand-held devices. ICIP 2013: 2053-2057 - [c33]Christophe Rigaud, Dimosthenis Karatzas, Joost van de Weijer, Jean-Christophe Burie, Jean-Marc Ogier:
Automatic Text Localisation in Scanned Comic Books. VISAPP (1) 2013: 814-819 - 2012
- [c32]Fahad Shahbaz Khan, Rao Muhammad Anwer, Joost van de Weijer, Andrew D. Bagdanov, María Vanrell, Antonio M. López:
Color attributes for object detection. CVPR 2012: 3306-3313 - 2011
- [c31]Shida Beigpour, Joost van de Weijer:
Object recoloring based on intrinsic image estimation. ICCV 2011: 327-334 - [c30]Fahad Shahbaz Khan, Joost van de Weijer, Andrew D. Bagdanov, María Vanrell:
Portmanteau Vocabularies for Multi-Cue Image Representation. NIPS 2011: 1323-1331 - [c29]Joost van de Weijer, Shida Beigpour:
The Dichromatic Reflection Model - Future Research Directions and Applications. VISAPP 2011: 011 - 2010
- [c28]David Augusto Rojas Vigo, Joost van de Weijer, Theo Gevers:
Color Edge Saliency Boosting using Natural Image Statistics. CGIV/MCS 2010: 228-234 - [c27]Josep M. Gonfaus, Xavier Boix Bosch, Joost van de Weijer, Andrew D. Bagdanov, Joan Serrat Gual, Jordi Gonzàlez:
Harmony potentials for joint classification and segmentation. CVPR 2010: 3280-3287 - [c26]David Augusto Rojas Vigo, Fahad Shahbaz Khan, Joost van de Weijer, Theo Gevers:
The Impact of Color on Bag-of-Words Based Object Recognition. ICPR 2010: 1549-1553 - 2009
- [c25]Arjan Gijsenij, Theo Gevers, Joost van de Weijer:
Physics-based edge evaluation for improved color constancy. CVPR 2009: 581-588 - [c24]Fahad Shahbaz Khan, Joost van de Weijer, María Vanrell:
Top-down color attention for object recognition. ICCV 2009: 979-986 - 2008
- [c23]Arjan Gijsenij, Theo Gevers, Joost van de Weijer:
Edge Classification for Color Constancy. CGIV/MCS 2008: 231-234 - [c22]Eduard Vazquez, Joost van de Weijer, Ramon Baldrich:
Image Segmentation in the Presence of Shadows and Highlights. ECCV (4) 2008: 1-14 - 2007
- [c21]Joost van de Weijer, Cordelia Schmid, Jakob Verbeek:
Learning Color Names from Real-World Images. CVPR 2007 - [c20]Joost van de Weijer, Cordelia Schmid, Jakob Verbeek:
Using High-Level Visual Information for Color Constancy. ICCV 2007: 1-8 - [c19]Joost van de Weijer, Cordelia Schmid:
Applying Color Names to Image Description. ICIP (3) 2007: 493-496 - 2006
- [c18]Nicu Sebe, Theo Gevers, Joost van de Weijer, Sietse Dijkstra:
Corner Detectors for Affine Invariant Salient Regions: Is Color Important?. CIVR 2006: 61-71 - [c17]Nicu Sebe, Theo Gevers, Sietse Dijkstra, Joost van de Weijer:
Evaluation of Intensity and Color Corner Detectors for Affine Invariant Salient Regions. CVPR Workshops 2006: 18 - [c16]David Knossow, Joost van de Weijer, Radu Horaud, Rémi Ronfard:
Articulated-Body Tracking Through Anisotropic Edge Detection. WDV 2006: 86-99 - [c15]Joost van de Weijer, Cordelia Schmid:
Coloring Local Feature Extraction. ECCV (2) 2006: 334-348 - [c14]Joost van de Weijer, Cordelia Schmid:
Blur Robust and Color Constant Image Description. ICIP 2006: 993-996 - 2005
- [c13]Joost van de Weijer, Theo Gevers:
Boosting Saliency in Color Image Features. CVPR (1) 2005: 365-372 - [c12]Joost van de Weijer, Theo Gevers:
Color constancy based on the Grey-edge hypothesis. ICIP (2) 2005: 722-725 - 2004
- [c11]Joost van de Weijer, Theo Gevers:
Robust optical flow from photometric invariants. ICIP 2004: 1835-1838 - [c10]Joost van de Weijer, Theo Gevers:
Tensor Based Feature Detection for Color Images. CIC 2004: 100-105 - 2003
- [c9]Joost van de Weijer, Theo Gevers, Jan-Mark Geusebroek:
Color Edge Detection by Photometric Quasi-Invariants. ICCV 2003: 1520-1525 - [c8]Rein van den Boomgaard, Joost van de Weijer:
Least Squares and Robust Estimation of Local Image Structure. Scale-Space 2003: 237-254 - 2002
- [c7]Jan-Mark Geusebroek, Arnold W. M. Smeulders, Joost van de Weijer:
Fast Anisotropic Gauss Filtering. ECCV (1) 2002: 99-112 - [c6]Rein van den Boomgaard, Joost van de Weijer:
On the Equivalence of Local-Mode Finding, Robust Estimation and Mean-Shift Analysis as Used in Early Vision Tasks. ICPR (3) 2002: 927-930 - 2001
- [c5]Joost van de Weijer, Rein van den Boomgaard:
Local Mode Filtering. CVPR (2) 2001: 428-433 - [c4]Joost van de Weijer, Theo Gevers:
Color mode filtering. ICIP (1) 2001: 125-128 - 2000
- [c3]Theo Gevers, Harro M. G. Stokman, Joost van de Weijer:
Colour Constancy from Hyper-Spectral Data. BMVC 2000: 1-10 - [c2]Theo Gevers, Peter Vreman, Joost van de Weijer:
Color constant texture segmentation and retrieval. Human Vision and Electronic Imaging 2000: 411-422 - 1998
- [c1]Piet W. Verbeek, Lucas J. van Vliet, Joost van de Weijer:
Improved curvature and anisotropy estimation for curved line bundles. ICPR 1998: 528-533
Parts in Books or Collections
- 2013
- [p2]Joost van de Weijer, Fahad Shahbaz Khan, Marc Masana:
Interactive Visual and Semantic Image Retrieval. Multimodal Interaction in Image and Video Applications 2013: 31-45 - 2006
- [p1]Thomas Brox, Rein van den Boomgaard, François Lauze, Joost van de Weijer, Joachim Weickert, Pavel Mrázek, Pierre Kornprobst:
Adaptive Structure Tensors and their Applications. Visualization and Processing of Tensor Fields 2006: 17-47
Informal and Other Publications
- 2024
- [i123]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 abs/2402.03917 (2024) - [i122]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 abs/2402.05375 (2024) - [i121]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 abs/2403.07404 (2024) - [i120]Dipam Goswami, Bartlomiej Twardowski, Joost van de Weijer:
Calibrating Higher-Order Statistics for Few-Shot Class-Incremental Learning with Pre-trained Vision Transformers. CoRR abs/2404.06622 (2024) - [i119]Chuanming Tang, Kai Wang, Fei Yang, Joost van de Weijer:
LocInv: Localization-aware Inversion for Text-Guided Image Editing. CoRR abs/2405.01496 (2024) - [i118]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 abs/2405.18069 (2024) - [i117]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 abs/2405.19074 (2024) - [i116]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 abs/2406.05114 (2024) - [i115]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 abs/2407.07197 (2024) - [i114]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 abs/2407.08536 (2024) - [i113]Lu Yu, Zhe Tao, Hantao Yao, Joost van de Weijer, Changsheng Xu:
Exploiting the Semantic Knowledge of Pre-trained Text-Encoders for Continual Learning. CoRR abs/2408.01076 (2024) - [i112]Héctor Laria Mantecon, Alex Gomez-Villa, Imad Eddine Marouf, Kai Wang, Bogdan Raducanu, Joost van de Weijer:
Assessing Open-world Forgetting in Generative Image Model Customization. CoRR abs/2410.14159 (2024) - [i111]Kai Wang, Fei Yang, Bogdan Raducanu, Joost van de Weijer:
Multi-Class Textual-Inversion Secretly Yields a Semantic-Agnostic Classifier. CoRR abs/2410.22317 (2024) - [i110]Taihang Hu, Linxuan Li, Joost van de Weijer, Hongcheng Gao, Fahad Shahbaz Khan, Jian Yang, Ming-Ming Cheng, Kai Wang, Yaxing Wang:
Token Merging for Training-Free Semantic Binding in Text-to-Image Synthesis. CoRR abs/2411.07132 (2024) - [i109]Alex Gomez-Villa, Kai Wang, C. Alejandro Párraga, Bartlomiej Twardowski, Jesus Malo, Javier Vazquez-Corral, Joost van de Weijer:
The Art of Deception: Color Visual Illusions and Diffusion Models. CoRR abs/2412.10122 (2024) - [i108]Dipam Goswami, Simone Magistri, Kai Wang, Bartlomiej Twardowski, Andrew D. Bagdanov, Joost van de Weijer:
Covariances for Free: Exploiting Mean Distributions for Federated Learning with Pre-Trained Models. CoRR abs/2412.14326 (2024) - 2023
- [i107]Mert Kilickaya, Joost van de Weijer, Yuki M. Asano:
Towards Label-Efficient Incremental Learning: A Survey. CoRR abs/2302.00353 (2023) - [i106]Dawid Rymarczyk, Joost van de Weijer, Bartosz Zielinski, Bartlomiej Twardowski:
ICICLE: Interpretable Class Incremental Continual Learning. CoRR abs/2303.07811 (2023) - [i105]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 abs/2303.15012 (2023) - [i104]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 abs/2303.15649 (2023) - [i103]Antonio Carta, Andrea Cossu, Vincenzo Lomonaco, Davide Bacciu, Joost van de Weijer:
Projected Latent Distillation for Data-Agnostic Consolidation in Distributed Continual Learning. CoRR abs/2303.15888 (2023) - [i102]Chenshen Wu, Joost van de Weijer:
Density Map Distillation for Incremental Object Counting. CoRR abs/2304.05255 (2023) - [i101]Albin Soutif-Cormerais, Antonio Carta, Joost van de Weijer:
Improving Online Continual Learning Performance and Stability with Temporal Ensembles. CoRR abs/2306.16817 (2023) - [i100]Yuyang Liu, Yang Cong, Dipam Goswami, Xialei Liu, Joost van de Weijer:
Augmented Box Replay: Overcoming Foreground Shift for Incremental Object Detection. CoRR abs/2307.12427 (2023) - [i99]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 abs/2308.10328 (2023) - [i98]Fei Yang, Kai Wang, Joost van de Weijer:
ScrollNet: Dynamic Weight Importance for Continual Learning. CoRR abs/2308.16567 (2023) - [i97]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 abs/2309.00528 (2023) - [i96]Eduardo Aguilar, Bogdan Raducanu, Petia Radeva, Joost van de Weijer:
Continual Evidential Deep Learning for Out-of-Distribution Detection. CoRR abs/2309.02995 (2023) - [i95]Alex Gomez-Villa, Bartlomiej Twardowski, Kai Wang, Joost van de Weijer:
Plasticity-Optimized Complementary Networks for Unsupervised Continual Learning. CoRR abs/2309.06086 (2023) - [i94]Dipam Goswami, Yuyang Liu, Bartlomiej Twardowski, Joost van de Weijer:
FeCAM: Exploiting the Heterogeneity of Class Distributions in Exemplar-Free Continual Learning. CoRR abs/2309.14062 (2023) - [i93]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 abs/2309.15664 (2023) - [i92]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 abs/2310.13533 (2023) - [i91]Chuanming Tang, Kai Wang, Joost van de Weijer:
IterInv: Iterative Inversion for Pixel-Level T2I Models. CoRR abs/2310.19540 (2023) - [i90]Chuanming Tang, Kai Wang, Joost van de Weijer, Jianlin Zhang, Yongmei Huang:
Exploiting Image-Related Inductive Biases in Single-Branch Visual Tracking. CoRR abs/2310.19542 (2023) - [i89]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. CoRR abs/2311.11908 (2023) - [i88]Claudio Rota, Marco Buzzelli, Joost van de Weijer:
Enhancing Perceptual Quality in Video Super-Resolution through Temporally-Consistent Detail Synthesis using Diffusion Models. CoRR abs/2311.15908 (2023) - 2022
- [i87]Vacit Oguz Yazici, Longlong Yu, Arnau Ramisa, Luis Herranz, Joost van de Weijer:
Main Product Detection with Graph Networks for Fashion. CoRR abs/2201.10431 (2022) - [i86]Simone Zini, Marco Buzzelli, Bartlomiej Twardowski, Joost van de Weijer:
Planckian jitter: enhancing the color quality of self-supervised visual representations. CoRR abs/2202.07993 (2022) - [i85]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 abs/2203.13167 (2022) - [i84]Shiqi Yang, Yaxing Wang, Kai Wang, Shangling Jui, Joost van de Weijer:
Attracting and Dispersing: A Simple Approach for Source-free Domain Adaptation. CoRR abs/2205.04183 (2022) - [i83]Aitor Alvarez-Gila, Joost van de Weijer, Yaxing Wang, Estíbaliz Garrote:
MVMO: A Multi-Object Dataset for Wide Baseline Multi-View Semantic Segmentation. CoRR abs/2205.15452 (2022) - [i82]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 abs/2206.03600 (2022) - [i81]Kai Wang, Fei Yang, Joost van de Weijer:
Attention Distillation: self-supervised vision transformer students need more guidance. CoRR abs/2210.00944 (2022) - [i80]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 abs/2210.01600 (2022) - [i79]Dipam Goswami, René Schuster, Joost van de Weijer, Didier Stricker:
Attribution-aware Weight Transfer: A Warm-Start Initialization for Class-Incremental Semantic Segmentation. CoRR abs/2210.07207 (2022) - [i78]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 abs/2211.12292 (2022) - 2021
- [i77]Akshita Gupta, Sanath Narayan, Salman H. Khan, Fahad Shahbaz Khan, Ling Shao, Joost van de Weijer:
Generative Multi-Label Zero-Shot Learning. CoRR abs/2101.11606 (2021) - [i76]Shiqi Yang, Kai Wang, Luis Herranz, Joost van de Weijer:
On Implicit Attribute Localization for Generalized Zero-Shot Learning. CoRR abs/2103.04704 (2021) - [i75]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 W. 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 abs/2104.00405 (2021) - [i74]Kai Wang, Luis Herranz, Joost van de Weijer:
Continual learning in cross-modal retrieval. CoRR abs/2104.06806 (2021) - [i73]Yaxing Wang, Abel Gonzalez-Garcia, Chenshen Wu, Luis Herranz, Fahad Shahbaz Khan, Shangling Jui, Joost van de Weijer:
MineGAN++: Mining Generative Models for Efficient Knowledge Transfer to Limited Data Domains. CoRR abs/2104.13742 (2021) - [i72]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. CoRR abs/2105.06219 (2021) - [i71]Kai Wang, Luis Herranz, Joost van de Weijer:
ACAE-REMIND for Online Continual Learning with Compressed Feature Replay. CoRR abs/2105.08595 (2021) - [i70]Albin Soutif-Cormerais, Marc Masana, Joost van de Weijer, Bartlomiej Twardowski:
On the importance of cross-task features for class-incremental learning. CoRR abs/2106.11930 (2021) - [i69]Carola Figueroa Flores, David Berga, Joost van de Weijer, Bogdan Raducanu:
Saliency for free: Saliency prediction as a side-effect of object recognition. CoRR abs/2107.09628 (2021) - [i68]Javad Zolfaghari Bengar, Bogdan Raducanu, Joost van de Weijer:
When Deep Learners Change Their Mind: Learning Dynamics for Active Learning. CoRR abs/2107.14707 (2021) - [i67]Shiqi Yang, Yaxing Wang, Joost van de Weijer, Luis Herranz, Shangling Jui:
Generalized Source-free Domain Adaptation. CoRR abs/2108.01614 (2021) - [i66]Javad Zolfaghari Bengar, Joost van de Weijer, Bartlomiej Twardowski, Bogdan Raducanu:
Reducing Label Effort: Self-Supervised meets Active Learning. CoRR abs/2108.11458 (2021) - [i65]Shiqi Yang, Yaxing Wang, Joost van de Weijer, Luis Herranz, Shangling Jui:
Exploiting the Intrinsic Neighborhood Structure for Source-free Domain Adaptation. CoRR abs/2110.04202 (2021) - [i64]Javad Zolfaghari Bengar, Joost van de Weijer, Laura Lopez-Fuentes, Bogdan Raducanu:
Class-Balanced Active Learning for Image Classification. CoRR abs/2110.04543 (2021) - [i63]Kai Wang, Xialei Liu, Luis Herranz, Joost van de Weijer:
HCV: Hierarchy-Consistency Verification for Incremental Implicitly-Refined Classification. CoRR abs/2110.11148 (2021) - [i62]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 abs/2111.04993 (2021) - [i61]Héctor Laria Mantecon, Yaxing Wang, Joost van de Weijer, Bogdan Raducanu:
Hyper-GAN: Transferring Unconditional to Conditional GANs with HyperNetworks. CoRR abs/2112.02219 (2021) - [i60]Vacit Oguz Yazici, Joost van de Weijer, Longlong Yu:
Visual Transformers with Primal Object Queries for Multi-Label Image Classification. CoRR abs/2112.05485 (2021) - [i59]Alex Gomez-Villa, Bartlomiej Twardowski, Lu Yu, Andrew D. Bagdanov, Joost van de Weijer:
Continually Learning Self-Supervised Representations with Projected Functional Regularization. CoRR abs/2112.15022 (2021) - 2020
- [i58]Mikel Menta, Adriana Romero, Joost van de Weijer:
Learning to adapt class-specific features across domains for semantic segmentation. CoRR abs/2001.08311 (2020) - [i57]Marc Masana, Tinne Tuytelaars, Joost van de Weijer:
Ternary Feature Masks: continual learning without any forgetting. CoRR abs/2001.08714 (2020) - [i56]Yaxing Wang, Salman H. Khan, Abel Gonzalez-Garcia, Joost van de Weijer, Fahad Shahbaz Khan:
Semi-supervised Learning for Few-shot Image-to-Image Translation. CoRR abs/2003.13853 (2020) - [i55]Lu Yu, Bartlomiej Twardowski, Xialei Liu, Luis Herranz, Kai Wang, Yongmei Cheng, Shangling Jui, Joost van de Weijer:
Semantic Drift Compensation for Class-Incremental Learning. CoRR abs/2004.00440 (2020) - [i54]Xialei Liu, Chenshen Wu, Mikel Menta, Luis Herranz, Bogdan Raducanu, Andrew D. Bagdanov, Shangling Jui, Joost van de Weijer:
Generative Feature Replay For Class-Incremental Learning. CoRR abs/2004.09199 (2020) - [i53]Sudeep Katakol, Basem Elbarashy, Luis Herranz, Joost van de Weijer, Antonio M. López:
Distributed Learning and Inference with Compressed Images. CoRR abs/2004.10497 (2020) - [i52]Shiqi Yang, Kai Wang, Luis Herranz, Joost van de Weijer:
Simple and effective localized attribute representations for zero-shot learning. CoRR abs/2006.05938 (2020) - [i51]Kai Wang, Luis Herranz, Anjan Dutta, Joost van de Weijer:
Bookworm continual learning: beyond zero-shot learning and continual learning. CoRR abs/2006.15176 (2020) - [i50]Marc Masana, Bartlomiej Twardowski, Joost van de Weijer:
On Class Orderings for Incremental Learning. CoRR abs/2007.02145 (2020) - [i49]Riccardo Del Chiaro, Bartlomiej Twardowski, Andrew D. Bagdanov, Joost van de Weijer:
RATT: Recurrent Attention to Transient Tasks for Continual Image Captioning. CoRR abs/2007.06271 (2020) - [i48]David Berga, Marc Masana, Joost van de Weijer:
Disentanglement of Color and Shape Representations for Continual Learning. CoRR abs/2007.06356 (2020) - [i47]Carola Figueroa Flores, Bogdan Raducanu, David Berga, Joost van de Weijer:
Hallucinating Saliency Maps for Fine-Grained Image Classification for Limited Data Domains. CoRR abs/2007.12562 (2020) - [i46]Minghan Li, Xialei Liu, Joost van de Weijer, Bogdan Raducanu:
Learning to Rank for Active Learning: A Listwise Approach. CoRR abs/2008.00078 (2020) - [i45]Shiqi Yang, Yaxing Wang, Joost van de Weijer, Luis Herranz, Shangling Jui:
Unsupervised Domain Adaptation without Source Data by Casting a BAIT. CoRR abs/2010.12427 (2020) - [i44]Marc Masana, Xialei Liu, Bartlomiej Twardowski, Mikel Menta, Andrew D. Bagdanov, Joost van de Weijer:
Class-incremental learning: survey and performance evaluation. CoRR abs/2010.15277 (2020) - [i43]Yaxing Wang, Lu Yu, Joost van de Weijer:
DeepI2I: Enabling Deep Hierarchical Image-to-Image Translation by Transferring from GANs. CoRR abs/2011.05867 (2020) - [i42]Lu Yu, Xialei Liu, Joost van de Weijer:
Self-Training for Class-Incremental Semantic Segmentation. CoRR abs/2012.03362 (2020) - 2019
- [i41]Mikhail G. Mozerov, Joost van de Weijer:
One-view occlusion detection for stereo matching with a fully connected CRF model. CoRR abs/1901.03852 (2019) - [i40]Xialei Liu, Joost van de Weijer, Andrew D. Bagdanov:
Exploiting Unlabeled Data in CNNs by Self-supervised Learning to Rank. CoRR abs/1902.06285 (2019) - [i39]Yaxing Wang, Luis Herranz, Joost van de Weijer:
Mix and match networks: multi-domain alignment for unpaired image-to-image translation. CoRR abs/1903.04294 (2019) - [i38]Lu Yu, Vacit Oguz Yazici, Xialei Liu, Joost van de Weijer, Yongmei Cheng, Arnau Ramisa:
Learning Metrics from Teachers: Compact Networks for Image Embedding. CoRR abs/1904.03624 (2019) - [i37]Mikhail G. Mozerov, Fei Yang, Joost van de Weijer:
Sparse data interpolation using the geodesic distance affinity space. CoRR abs/1905.02229 (2019) - [i36]Yaxing Wang, Abel Gonzalez-Garcia, Joost van de Weijer, Luis Herranz:
Controlling biases and diversity in diverse image-to-image translation. CoRR abs/1907.09754 (2019) - [i35]Lichao Zhang, Abel Gonzalez-Garcia, Joost van de Weijer, Martin Danelljan, Fahad Shahbaz Khan:
Learning the Model Update for Siamese Trackers. CoRR abs/1908.00855 (2019) - [i34]Yaxing Wang, Abel Gonzalez-Garcia, Joost van de Weijer, Luis Herranz:
SDIT: Scalable and Diverse Cross-domain Image Translation. CoRR abs/1908.06881 (2019) - [i33]Aitor Alvarez-Gila, Adrian Galdran, Estíbaliz Garrote, Joost van de Weijer:
Self-supervised blur detection from synthetically blurred scenes. CoRR abs/1908.10638 (2019) - [i32]Lichao Zhang, Martin Danelljan, Abel Gonzalez-Garcia, Joost van de Weijer, Fahad Shahbaz Khan:
Multi-Modal Fusion for End-to-End RGB-T Tracking. CoRR abs/1908.11714 (2019) - [i31]Javad Zolfaghari Bengar, Abel Gonzalez-Garcia, Gabriel Villalonga, Bogdan Raducanu, Hamed H. Aghdam, Mikhail G. Mozerov, Antonio M. López, Joost van de Weijer:
Temporal Coherence for Active Learning in Videos. CoRR abs/1908.11757 (2019) - [i30]Hamed H. Aghdam, Abel Gonzalez-Garcia, Joost van de Weijer, Antonio M. López:
Active Learning for Deep Detection Neural Networks. CoRR abs/1911.09168 (2019) - [i29]Vacit Oguz Yazici, Abel Gonzalez-Garcia, Arnau Ramisa, Bartlomiej Twardowski, Joost van de Weijer:
Orderless Recurrent Models for Multi-label Classification. CoRR abs/1911.09996 (2019) - [i28]Yaxing Wang, Abel Gonzalez-Garcia, David Berga, Luis Herranz, Fahad Shahbaz Khan, Joost van de Weijer:
MineGAN: effective knowledge transfer from GANs to target domains with few images. CoRR abs/1912.05270 (2019) - [i27]Fei Yang, Luis Herranz, Joost van de Weijer, José Antonio Iglesias Guitián, Antonio M. López, Mikhail G. Mozerov:
Variable Rate Deep Image Compression with Modulated Autoencoder. CoRR abs/1912.05526 (2019) - 2018
- [i26]Xialei Liu, Marc Masana, Luis Herranz, Joost van de Weijer, Antonio M. López, Andrew D. Bagdanov:
Rotate your Networks: Better Weight Consolidation and Less Catastrophic Forgetting. CoRR abs/1802.02950 (2018) - [i25]Xialei Liu, Joost van de Weijer, Andrew D. Bagdanov:
Leveraging Unlabeled Data for Crowd Counting by Learning to Rank. CoRR abs/1803.03095 (2018) - [i24]Yaxing Wang, Joost van de Weijer, Luis Herranz:
Mix and match networks: encoder-decoder alignment for zero-pair image translation. CoRR abs/1804.02199 (2018) - [i23]Yaxing Wang, Chenshen Wu, Luis Herranz, Joost van de Weijer, Abel Gonzalez-Garcia, Bogdan Raducanu:
Transferring GANs: generating images from limited data. CoRR abs/1805.01677 (2018) - [i22]Lu Yu, Yongmei Cheng, Joost van de Weijer:
Weakly Supervised Domain-Specific Color Naming Based on Attention. CoRR abs/1805.04385 (2018) - [i21]Marco Buzzelli, Joost van de Weijer, Raimondo Schettini:
Learning Illuminant Estimation from Object Recognition. CoRR abs/1805.09264 (2018) - [i20]Abel Gonzalez-Garcia, Joost van de Weijer, Yoshua Bengio:
Image-to-image translation for cross-domain disentanglement. CoRR abs/1805.09730 (2018) - [i19]Lichao Zhang, Abel Gonzalez-Garcia, Joost van de Weijer, Martin Danelljan, Fahad Shahbaz Khan:
Synthetic data generation for end-to-end thermal infrared tracking. CoRR abs/1806.01013 (2018) - [i18]Aymen Azaza, Joost van de Weijer, Ali Douik, Marc Masana:
Context Proposals for Saliency Detection. CoRR abs/1806.10359 (2018) - [i17]Carola Figueroa Flores, Abel Gonzalez-Garcia, Joost van de Weijer, Bogdan Raducanu:
Saliency for Fine-grained Object Recognition in Domains with Scarce Training Data. CoRR abs/1808.00262 (2018) - [i16]Marc Masana, Idoia Ruiz, Joan Serrat, Joost van de Weijer, Antonio M. López:
Metric Learning for Novelty and Anomaly Detection. CoRR abs/1808.05492 (2018) - [i15]Ozan Caglayan, Adrien Bardet, Fethi Bougares, Loïc Barrault, Kai Wang, Marc Masana, Luis Herranz, Joost van de Weijer:
LIUM-CVC Submissions for WMT18 Multimodal Translation Task. CoRR abs/1809.00151 (2018) - [i14]Chenshen Wu, Luis Herranz, Xialei Liu, Yaxing Wang, Joost van de Weijer, Bogdan Raducanu:
Memory Replay GANs: learning to generate images from new categories without forgetting. CoRR abs/1809.02058 (2018) - [i13]Rada Deeb, Joost van de Weijer, Damien Muselet, Mathieu Hébert, Alain Trémeau:
Deep Spectral Reflectance and Illuminant Estimation from Self-Interreflections. CoRR abs/1812.03559 (2018) - 2017
- [i12]Laura Lopez-Fuentes, Andrew D. Bagdanov, Joost van de Weijer, Harald Skinnemoen:
Bandwidth limited object recognition in high resolution imagery. CoRR abs/1701.04210 (2017) - [i11]Rao Muhammad Anwer, Fahad Shahbaz Khan, Joost van de Weijer, Matthieu Molinier, Jorma Laaksonen:
Binary Patterns Encoded Convolutional Neural Networks for Texture Recognition and Remote Sensing Scene Classification. CoRR abs/1706.01171 (2017) - [i10]Ozan Caglayan, Walid Aransa, Adrien Bardet, Mercedes García-Martínez, Fethi Bougares, Loïc Barrault, Marc Masana, Luis Herranz, Joost van de Weijer:
LIUM-CVC Submissions for WMT17 Multimodal Translation Task. CoRR abs/1707.04481 (2017) - [i9]Xialei Liu, Joost van de Weijer, Andrew D. Bagdanov:
RankIQA: Learning from Rankings for No-reference Image Quality Assessment. CoRR abs/1707.08347 (2017) - [i8]Laura Lopez-Fuentes, Joost van de Weijer, Manuel González Hidalgo, Harald Skinnemoen, Andrew D. Bagdanov:
Review on Computer Vision Techniques in Emergency Situation. CoRR abs/1708.07455 (2017) - [i7]Aitor Alvarez-Gila, Joost van de Weijer, Estíbaliz Garrote:
Adversarial Networks for Spatial Context-Aware Spectral Image Reconstruction from RGB. CoRR abs/1709.00265 (2017) - [i6]Marc Masana, Joost van de Weijer, Luis Herranz, Andrew D. Bagdanov, José M. Álvarez:
Domain-adaptive deep network compression. CoRR abs/1709.01041 (2017) - 2016
- [i5]Marc Masana, Joost van de Weijer, Andrew D. Bagdanov:
On-the-fly Network Pruning for Object Detection. CoRR abs/1605.03477 (2016) - [i4]Ozan Caglayan, Walid Aransa, Yaxing Wang, Marc Masana, Mercedes García-Martínez, Fethi Bougares, Loïc Barrault, Joost van de Weijer:
Does Multimodality Help Human and Machine for Translation and Image Captioning? CoRR abs/1605.09186 (2016) - [i3]Guim Perarnau, Joost van de Weijer, Bogdan Raducanu, José M. Álvarez:
Invertible Conditional GANs for image editing. CoRR abs/1611.06355 (2016) - [i2]Yaxing Wang, Lichao Zhang, Joost van de Weijer:
Ensembles of Generative Adversarial Networks. CoRR abs/1612.00991 (2016) - [i1]Fahad Shahbaz Khan, Joost van de Weijer, Rao Muhammad Anwer, Andrew D. Bagdanov, Michael Felsberg, Jorma Laaksonen:
Scale Coding Bag of Deep Features for Human Attribute and Action Recognition. CoRR abs/1612.04884 (2016)
Coauthor Index
Andrew D. Bagdanov
aka: Andy Bagdanov
aka: Andy Bagdanov
Abel Gonzalez-Garcia
aka: Abel González-García
aka: Abel González-García
Rama Krishna Sai S. Gorthi
aka: Rama Krishna Sai Subrahmanyam Gorthi
aka: Gorthi R. K. Sai Subrahmanyam
aka: Rama Krishna Sai Subrahmanyam Gorthi
aka: Gorthi R. K. Sai Subrahmanyam
[j56] [j54] [j51] [j48] [j46] [j44] [j43] [j42] [j40] [j36] [c105] [c96] [c92] [c91] [c88] [c86] [c84] [c83] [c72] [c70] [c67] [c65] [c62] [c61] [c57] [c51] [i97] [i87] [i76] [i74] [i73] [i71] [i67] [i65] [i63] [i62] [i55] [i54] [i53] [i52] [i51] [i45] [i39] [i36] [i34] [i28] [i27] [i26] [i24] [i23] [i15] [i14] [i10] [i6]
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