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Nonlinear Monte Carlo Method for Imbalanced Data Learning

Oct 27, 2020
Xuli Shen, Qing Xu, Xiangyang Xue


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M3Lung-Sys: A Deep Learning System for Multi-Class Lung Pneumonia Screening from CT Imaging

Oct 07, 2020
Xuelin Qian, Huazhu Fu, Weiya Shi, Tao Chen, Yanwei Fu, Fei Shan, Xiangyang Xue

* IEEE Journal of Biomedical and Health Informatics (JBHI), 2020 

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A New Screening Method for COVID-19 based on Ocular Feature Recognition by Machine Learning Tools

Sep 04, 2020
Yanwei Fu, Feng Li, Wenxuan Wang, Haicheng Tang, Xuelin Qian, Mengwei Gu, Xiangyang Xue

* technical report 

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Context Encoding for Video Retrieval with Contrastive Learning

Aug 04, 2020
Jie Shao, Xin Wen, Bingchen Zhao, Changhu Wang, Xiangyang Xue


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Long-Term Cloth-Changing Person Re-identification

May 27, 2020
Xuelin Qian, Wenxuan Wang, Li Zhang, Fangrui Zhu, Yanwei Fu, Tao Xiang, Yu-Gang Jiang, Xiangyang Xue

* 24 pages, 10 figures, 5 tables 

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MOTS: Multiple Object Tracking for General Categories Based On Few-Shot Method

May 19, 2020
Xixi Xu, Chao Lu, Liang Zhu, Xiangyang Xue, Guanxian Chen, Qi Guo, Yining Lin, Zhijian Zhao

* 6 pages 

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Sketch-BERT: Learning Sketch Bidirectional Encoder Representation from Transformers by Self-supervised Learning of Sketch Gestalt

May 19, 2020
Hangyu Lin, Yanwei Fu, Yu-Gang Jiang, Xiangyang Xue

* Accepted to CVPR 2020 

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BERT-ATTACK: Adversarial Attack Against BERT Using BERT

Apr 21, 2020
Linyang Li, Ruotian Ma, Qipeng Guo, Xiangyang Xue, Xipeng Qiu

* 8 pages, 2 figures, 

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Neural Pose Transfer by Spatially Adaptive Instance Normalization

Mar 16, 2020
Jiashun Wang, Chao Wen, Yanwei Fu, Haitao Lin, Tianyun Zou, Xiangyang Xue, Yinda Zhang

* Accepted by CVPR2020 

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3DCFS: Fast and Robust Joint 3D Semantic-Instance Segmentation via Coupled Feature Selection

Mar 01, 2020
Liang Du, Jingang Tan, Xiangyang Xue, Lili Chen, Hongkai Wen, Jianfeng Feng, Jiamao Li, Xiaolin Zhang

* icra 2020 

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Learning to Augment Expressions for Few-shot Fine-grained Facial Expression Recognition

Jan 17, 2020
Wenxuan Wang, Yanwei Fu, Qiang Sun, Tao Chen, Chenjie Cao, Ziqi Zheng, Guoqiang Xu, Han Qiu, Yu-Gang Jiang, Xiangyang Xue

* 17 pages, 18 figures 

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DeepSFM: Structure From Motion Via Deep Bundle Adjustment

Dec 20, 2019
Xingkui Wei, Yinda Zhang, Zhuwen Li, Yanwei Fu, Xiangyang Xue


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Multi-Scale Self-Attention for Text Classification

Dec 02, 2019
Qipeng Guo, Xipeng Qiu, Pengfei Liu, Xiangyang Xue, Zheng Zhang

* Accepted in AAAI2020 

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Joint Parsing and Generation for Abstractive Summarization

Nov 23, 2019
Kaiqiang Song, Logan Lebanoff, Qipeng Guo, Xipeng Qiu, Xiangyang Xue, Chen Li, Dong Yu, Fei Liu

* AAAI 2020 (Main Technical Track) 

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Fast Color Constancy with Patch-wise Bright Pixels

Nov 17, 2019
Yiyao Shi, Jian Wang, Xiangyang Xue

* 7 figures and 4 tables 

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Towards Hierarchical Importance Attribution: Explaining Compositional Semantics for Neural Sequence Models

Nov 08, 2019
Xisen Jin, Junyi Du, Zhongyu Wei, Xiangyang Xue, Xiang Ren

* 12 pages, 9 figures 

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Towards Instance-level Image-to-Image Translation

May 05, 2019
Zhiqiang Shen, Mingyang Huang, Jianping Shi, Xiangyang Xue, Thomas Huang

* Accepted to CVPR 2019. Project page: http://zhiqiangshen.com/projects/INIT/index.html 

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Question Guided Modular Routing Networks for Visual Question Answering

Apr 17, 2019
Yanze Wu, Qiang Sun, Jianqi Ma, Bin Li, Yanwei Fu, Yao Peng, Xiangyang Xue


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CODA: Counting Objects via Scale-aware Adversarial Density Adaption

Mar 25, 2019
Li Wang, Yongbo Li, Xiangyang Xue

* Accepted to ICME2019 

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Star-Transformer

Feb 28, 2019
Qipeng Guo, Xipeng Qiu, Pengfei Liu, Yunfan Shao, Xiangyang Xue, Zheng Zhang

* Accepted by NAACL 2019 

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Spatial Mixture Models with Learnable Deep Priors for Perceptual Grouping

Feb 07, 2019
Jinyang Yuan, Bin Li, Xiangyang Xue

* AAAI 2019 

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A Multi-task Neural Approach for Emotion Attribution, Classification and Summarization

Dec 21, 2018
Guoyun Tu, Yanwei Fu, Boyang Li, Jiarui Gao, Yu-Gang Jiang, Xiangyang Xue


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MEAL: Multi-Model Ensemble via Adversarial Learning

Dec 06, 2018
Zhiqiang Shen, Zhankui He, Xiangyang Xue

* To appear in AAAI 2019. Code and models are available at: https://github.com/AaronHeee/MEAL 

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Instance-level Sketch-based Retrieval by Deep Triplet Classification Siamese Network

Nov 28, 2018
Peng Lu, Hangyu Lin, Yanwei Fu, Shaogang Gong, Yu-Gang Jiang, Xiangyang Xue

* 15 pages, 7 figures. Peng Lu and Hangyu Lin share equal contributions 

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High Order Neural Networks for Video Classification

Nov 19, 2018
Jie Shao, Kai Hu, Yixin Bao, Yining Lin, Xiangyang Xue


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Learning to Separate Domains in Generalized Zero-Shot and Open Set Learning: a probabilistic perspective

Oct 17, 2018
Hanze Dong, Yanwei Fu, Leonid Sigal, Sung Ju Hwang, Yu-Gang Jiang, Xiangyang Xue

* 10 pages, 5 figures, submitted to ICLR 2019 

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Object Detection from Scratch with Deep Supervision

Sep 25, 2018
Zhiqiang Shen, Zhuang Liu, Jianguo Li, Yu-Gang Jiang, Yurong Chen, Xiangyang Xue

* This is an extended version of our previous conference paper arXiv:1708.01241 

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Top-Down Tree Structured Text Generation

Aug 14, 2018
Qipeng Guo, Xipeng Qiu, Xiangyang Xue, Zheng Zhang


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Learning to score the figure skating sports videos

Jul 28, 2018
Chengming Xu, Yanwei Fu, Bing Zhang, Zitian Chen, Yu-Gang Jiang, Xiangyang Xue


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