Get our free extension to see links to code for papers anywhere online!

 Add to Chrome

 Add to Firefox

CatalyzeX Code Finder - Browser extension linking code for ML papers across the web! | Product Hunt Embed
Self-Training for Class-Incremental Semantic Segmentation

Dec 06, 2020
Lu Yu, Xialei Liu, Joost van de Weijer

* Code will be available 

  Access Paper or Ask Questions

Class-incremental learning: survey and performance evaluation

Oct 28, 2020
Marc Masana, Xialei Liu, Bartlomiej Twardowski, Mikel Menta, Andrew D. Bagdanov, Joost van de Weijer


  Access Paper or Ask Questions

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 

  Access Paper or Ask Questions

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 

  Access Paper or Ask Questions

Semantic Drift Compensation for Class-Incremental Learning

Apr 01, 2020
Lu Yu, Bartłomiej 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

  Access Paper or Ask Questions

Continual Universal Object Detection

Feb 13, 2020
Xialei Liu, Hao Yang, Avinash Ravichandran, Rahul Bhotika, Stefano Soatto


  Access Paper or Ask Questions

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 

  Access Paper or Ask Questions

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 

  Access Paper or Ask Questions

Memory Replay GANs: learning to generate images from new categories without forgetting

Oct 29, 2018
Chenshen Wu, Luis Herranz, Xialei Liu, Yaxing Wang, Joost van de Weijer, Bogdan Raducanu

* Appear in NIPS 2018 

  Access Paper or Ask Questions

Rotate your Networks: Better Weight Consolidation and Less Catastrophic Forgetting

Jul 12, 2018
Xialei Liu, Marc Masana, Luis Herranz, Joost Van de Weijer, Antonio M. Lopez, Andrew D. Bagdanov

* Accepted at ICPR'18. First two authors contributed equally 

  Access Paper or Ask Questions

Leveraging Unlabeled Data for Crowd Counting by Learning to Rank

Mar 08, 2018
Xialei Liu, Joost van de Weijer, Andrew D. Bagdanov

* Accepted by CVPR18 

  Access Paper or Ask Questions

RankIQA: Learning from Rankings for No-reference Image Quality Assessment

Jul 26, 2017
Xialei Liu, Joost van de Weijer, Andrew D. Bagdanov

* Accepted by ICCV 2017 

  Access Paper or Ask Questions