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Self-Training for Class-Incremental Semantic Segmentation

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

* Code will be available 

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DeepI2I: Enabling Deep Hierarchical Image-to-Image Translation by Transferring from GANs

Nov 11, 2020
Yaxing Wang, Lu Yu, Joost van de Weijer

* NeurIPS2020 

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Compressing Facial Makeup Transfer Networks by Collaborative Distillation and Kernel Decomposition

Sep 16, 2020
Bianjiang Yang, Zi Hui, Haoji Hu, Xinyi Hu, Lu Yu

* This paper will be published on 2020 IEEE International Conference on Visual Communications and Image Processing (VCIP) 

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Self-supervised Smoothing Graph Neural Networks

Sep 02, 2020
Lu Yu, Shichao Pei, Chuxu Zhang, Lizhong Ding, Jun Zhou, Longfei Li, Xiangliang Zhang

* 11 pages, 2 figures 

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An Analysis of Constant Step Size SGD in the Non-convex Regime: Asymptotic Normality and Bias

Jun 14, 2020
Lu Yu, Krishnakumar Balasubramanian, Stanislav Volgushev, Murat A. Erdogdu


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Addressing Class-Imbalance Problem in Personalized Ranking

May 19, 2020
Lu Yu, Shichao Pei, Chuxu Zhang, Shangsong Liang, XIao Bai, Xiangliang Zhang

* Preprint 

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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

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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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Weakly Supervised Domain-Specific Color Naming Based on Attention

May 11, 2018
Lu Yu, Yongmei Cheng, Joost van de Weijer

* Accepted at ICPR2018 

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Oracle Inequalities for High-dimensional Prediction

Mar 13, 2018
Johannes Lederer, Lu Yu, Irina Gaynanova


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