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Learning to Rank for Active Learning: A Listwise Approach

Jul 31, 2020
Minghan Li, Xialei Liu, Joost van de Weijer, Bogdan Raducanu

* Accepted at ICPR 2020 

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Hallucinating Saliency Maps for Fine-Grained Image Classification for Limited Data Domains

Jul 24, 2020
Carola Figueroa-Flores, Bogdan Raducanu, David Berga, Joost van de Weijer


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RATT: Recurrent Attention to Transient Tasks for Continual Image Captioning

Jul 13, 2020
Riccardo Del Chiaro, Bart艂omiej Twardowski, Andrew D. Bagdanov, Joost van de Weijer

* 8 pages, 5 figures, to be published in LifelongML workshop at ICML2020 

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On Class Orderings for Incremental Learning

Jul 07, 2020
Marc Masana, Bart艂omiej Twardowski, Joost van de Weijer

* Accepted at CL-ICML 2020. First two authors contributed equally 

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Bookworm continual learning: beyond zero-shot learning and continual learning

Jul 06, 2020
Kai Wang, Luis Herranz, Anjan Dutta, Joost van de Weijer


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Simple and effective localized attribute representations for zero-shot learning

Jun 17, 2020
Shiqi Yang, Kai Wang, Luis Herranz, Joost van de Weijer

* Submitted to Pattern Recognition 

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Distributed Learning and Inference with Compressed Images

Apr 22, 2020
Sudeep Katakol, Basem Elbarashy, Luis Herranz, Joost van de Weijer, Antonio M. Lopez

* 13 pages, 14 figures 

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Generative Feature Replay For Class-Incremental Learning

Apr 20, 2020
Xialei Liu, Chenshen Wu, Mikel Menta, Luis Herranz, Bogdan Raducanu, Andrew D. Bagdanov, Shangling Jui, Joost van de Weijer

* Accepted at CVPR2020: Workshop on Continual Learning in Computer Vision 

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Semi-supervised Learning for Few-shot Image-to-Image Translation

Apr 02, 2020
Yaxing Wang, Salman Khan, Abel Gonzalez-Garcia, Joost van de Weijer, Fahad Shahbaz Khan

* CVPR2020 

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Semantic Drift Compensation for Class-Incremental Learning

Apr 01, 2020
Lu Yu, Bart艂omiej Twardowski, Xialei Liu, Luis Herranz, Kai Wang, Yongmei Cheng, Shangling Jui, Joost van de Weijer

* Accepted at CVPR2020, Code available at \url{https://github.com/yulu0724/SDC-IL

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Ternary Feature Masks: continual learning without any forgetting

Jan 23, 2020
Marc Masana, Tinne Tuytelaars, Joost van de Weijer


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Learning to adapt class-specific features across domains for semantic segmentation

Jan 22, 2020
Mikel Menta, Adriana Romero, Joost van de Weijer

* Master thesis dissertation for the Master in Computer Vision (Barcelona). 11 pages main article and 3 pages appendices. Code available 

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Variable Rate Deep Image Compression with Modulated Autoencoder

Dec 11, 2019
Fei Yang, Luis Herranz, Joost van de Weijer, Jos茅 A. Iglesias Guiti谩n, Antonio L贸pez, Mikhail Mozerov


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MineGAN: effective knowledge transfer from GANs to target domains with few images

Dec 11, 2019
Yaxing Wang, Abel Gonzalez-Garcia, David Berga, Luis Herranz, Fahad Shahbaz Khan, Joost van de Weijer


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Orderless Recurrent Models for Multi-label Classification

Nov 25, 2019
Vacit Oguz Yazici, Abel Gonzalez-Garcia, Arnau Ramisa, Bartlomiej Twardowski, Joost van de Weijer


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Active Learning for Deep Detection Neural Networks

Nov 20, 2019
Hamed H. Aghdam, Abel Gonzalez-Garcia, Joost van de Weijer, Antonio M. L贸pez

* Accepted at ICCV 2019 

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Learning the Model Update for Siamese Trackers

Sep 06, 2019
Lichao Zhang, Abel Gonzalez-Garcia, Joost van de Weijer, Martin Danelljan, Fahad Shahbaz Khan

* Accepted at ICCV 2019 

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Temporal Coherence for Active Learning in Videos

Aug 30, 2019
Javad Zolfaghari Bengar, Abel Gonzalez-Garcia, Gabriel Villalonga, Bogdan Raducanu, Hamed H. Aghdam, Mikhail Mozerov, Antonio M. Lopez, Joost van de Weijer

* Accepted at ICCVW 2019 (CVRSUAD-Road Scene Understanding and Autonomous Driving) 

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Multi-Modal Fusion for End-to-End RGB-T Tracking

Aug 30, 2019
Lichao Zhang, Martin Danelljan, Abel Gonzalez-Garcia, Joost van de Weijer, Fahad Shahbaz Khan

* Accepted at ICCVW (VOT) 2019 

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Self-supervised blur detection from synthetically blurred scenes

Aug 28, 2019
Aitor Alvarez-Gila, Adrian Galdran, Estibaliz Garrote, Joost van de Weijer

* Image and Vision Computing 

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SDIT: Scalable and Diverse Cross-domain Image Translation

Aug 19, 2019
Yaxing Wang, Abel Gonzalez-Garcia, Joost van de Weijer, Luis Herranz

* ACM-MM2019 camera ready 

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Controlling biases and diversity in diverse image-to-image translation

Jul 23, 2019
Yaxing Wang, Abel Gonzalez-Garcia, Joost van de Weijer, Luis Herranz

* The paper is under consideration at Computer Vision and Image Understanding 

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Sparse data interpolation using the geodesic distance affinity space

May 06, 2019
Mikhail G. Mozerov, Fei Yang, Joost van de Weijer


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Learning Metrics from Teachers: Compact Networks for Image Embedding

Apr 07, 2019
Lu Yu, Vacit Oguz Yazici, Xialei Liu, Joost van de Weijer, Yongmei Cheng, Arnau Ramisa

* To appear at CVPR 2019 

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Mix and match networks: multi-domain alignment for unpaired image-to-image translation

Mar 08, 2019
Yaxing Wang, Luis Herranz, Joost van de Weijer

* overlap the previous version. arXiv admin note: text overlap with arXiv:1804.02199 

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Exploiting Unlabeled Data in CNNs by Self-supervised Learning to Rank

Feb 17, 2019
Xialei Liu, Joost van de Weijer, Andrew D. Bagdanov

* Accepted at TPAMI. (Keywords: Learning from rankings, image quality assessment, crowd counting, active learning). arXiv admin note: text overlap with arXiv:1803.03095 

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