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Gaussian Constrained Attention Network for Scene Text Recognition

Oct 19, 2020
Zhi Qiao, Xugong Qin, Yu Zhou, Fei Yang, Weiping Wang

* ICPR2020 

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New Ideas and Trends in Deep Multimodal Content Understanding: A Review

Oct 16, 2020
Wei Chen, Weiping Wang, Li Liu, Michael S. Lew

* Accepted by Neurocomputing 

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On the Exploration of Incremental Learning for Fine-grained Image Retrieval

Oct 15, 2020
Wei Chen, Yu Liu, Weiping Wang, Tinne Tuytelaars, Erwin M. Bakker, Michael Lew

* BMVC2020 

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Exploring Relations in Untrimmed Videos for Self-Supervised Learning

Aug 06, 2020
Dezhao Luo, Bo Fang, Yu Zhou, Yucan Zhou, Dayan Wu, Weiping Wang


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Two-Level Residual Distillation based Triple Network for Incremental Object Detection

Jul 27, 2020
Dongbao Yang, Yu Zhou, Dayan Wu, Can Ma, Fei Yang, Weiping Wang


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Progressive Cluster Purification for Unsupervised Feature Learning

Jul 15, 2020
Yifei Zhang, Chang Liu, Yu Zhou, Wei Wang, Weiping Wang, Qixiang Ye

* 8 pages, 5 figures 

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Expert Training: Task Hardness Aware Meta-Learning for Few-Shot Classification

Jul 13, 2020
Yucan Zhou, Yu Wang, Jianfei Cai, Yu Zhou, Qinghua Hu, Weiping Wang

* 9 pages, 6 figures 

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FC2RN: A Fully Convolutional Corner Refinement Network for Accurate Multi-Oriented Scene Text Detection

Jul 10, 2020
Xugong Qin, Yu Zhou, Dayan Wu, Yinliang Yue, Weiping Wang


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Neural Architecture Optimization with Graph VAE

Jun 18, 2020
Jian Li, Yong Liu, Jiankun Liu, Weiping Wang


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Self-Training for Domain Adaptive Scene Text Detection

May 23, 2020
Yudi Chen, Wei Wang, Yu Zhou, Fei Yang, Dongbao Yang, Weiping Wang


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SEED: Semantics Enhanced Encoder-Decoder Framework for Scene Text Recognition

May 22, 2020
Zhi Qiao, Yu Zhou, Dongbao Yang, Yucan Zhou, Weiping Wang

* CVPR 2020 

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Keyphrase Prediction With Pre-trained Language Model

Apr 22, 2020
Rui Liu, Zheng Lin, Weiping Wang

* 7pages, 3 figures, 3 tables 

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Theoretical Analysis of Divide-and-Conquer ERM: Beyond Square Loss and RKHS

Mar 17, 2020
Yong Liu, Lizhong Ding, Weiping Wang


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Nearly Optimal Risk Bounds for Kernel K-Means

Mar 09, 2020
Yong Liu, Lizhong Ding, Hua Zhang, Wenqi Ren, Xiao Zhang, Shali Jiang, Xinwang Liu, Weiping Wang


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Risk Analysis of Divide-and-Conquer ERM

Mar 09, 2020
Yong Liu, Lizhong Ding, Weiping Wang


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Convolutional Spectral Kernel Learning

Feb 28, 2020
Jian Li, Yong Liu, Weiping Wang


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Differentially Private ERM Based on Data Perturbation

Feb 20, 2020
Yilin Kang, Yong Liu, Lizhong Ding, Xinwang Liu, Xinyi Tong, Weiping Wang


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Input Perturbation: A New Paradigm between Central and Local Differential Privacy

Feb 20, 2020
Yilin Kang, Yong Liu, Ben Niu, Xinyi Tong, Likun Zhang, Weiping Wang


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Video Cloze Procedure for Self-Supervised Spatio-Temporal Learning

Jan 02, 2020
Dezhao Luo, Chang Liu, Yu Zhou, Dongbao Yang, Can Ma, Qixiang Ye, Weiping Wang

* AAAI2020(Oral) 

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Weighted Distributed Differential Privacy ERM: Convex and Non-convex

Nov 14, 2019
Yilin Kang, Yong Liu, Weiping Wang


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Automated Spectral Kernel Learning

Sep 11, 2019
Jian Li, Yong Liu, Weiping Wang


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Learning Vector-valued Functions with Local Rademacher Complexity

Sep 11, 2019
Jian Li, Yong Liu, Weiping Wang


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Curved Text Detection in Natural Scene Images with Semi- and Weakly-Supervised Learning

Aug 27, 2019
Xugong Qin, Yu Zhou, Dongbao Yang, Weiping Wang

* Accepted by ICDAR 2019 

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Distributed Learning with Random Features

Jun 10, 2019
Jian Li, Yong Liu, Weiping Wang

* 21 pages, 6 figures 

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Efficient Cross-Validation for Semi-Supervised Learning

Feb 13, 2019
Yong Liu, Jian Li, Guangjun Wu, Lizhong Ding, Weiping Wang


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Max-Diversity Distributed Learning: Theory and Algorithms

Jan 18, 2019
Yong Liu, Jian Li, Weiping Wang


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