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DSAM: A Distance Shrinking with Angular Marginalizing Loss for High Performance Vehicle Re-identificatio

Nov 12, 2020
Jiangtao Kong, Yu Cheng, Kai Li, Junliang Xing


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AIM 2020 Challenge on Learned Image Signal Processing Pipeline

Nov 10, 2020
Andrey Ignatov, Radu Timofte, Zhilu Zhang, Ming Liu, Haolin Wang, Wangmeng Zuo, Jiawei Zhang, Ruimao Zhang, Zhanglin Peng, Sijie Ren, Linhui Dai, Xiaohong Liu, Chengqi Li, Jun Chen, Yuichi Ito, Bhavya Vasudeva, Puneesh Deora, Umapada Pal, Zhenyu Guo, Yu Zhu, Tian Liang, Chenghua Li, Cong Leng, Zhihong Pan, Baopu Li, Byung-Hoon Kim, Joonyoung Song, Jong Chul Ye, JaeHyun Baek, Magauiya Zhussip, Yeskendir Koishekenov, Hwechul Cho Ye, Xin Liu, Xueying Hu, Jun Jiang, Jinwei Gu, Kai Li, Pengliang Tan, Bingxin Hou

* Published in ECCV 2020 Workshops (Advances in Image Manipulation), https://data.vision.ee.ethz.ch/cvl/aim20/ 

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Beyond the Deep Metric Learning: Enhance the Cross-Modal Matching with Adversarial Discriminative Domain Regularization

Oct 27, 2020
Li Ren, Kai Li, LiQiang Wang, Kien Hua

* 8 pages 

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MixCon: Adjusting the Separability of Data Representations for Harder Data Recovery

Oct 22, 2020
Xiaoxiao Li, Yangsibo Huang, Binghui Peng, Zhao Song, Kai Li


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TextHide: Tackling Data Privacy in Language Understanding Tasks

Oct 12, 2020
Yangsibo Huang, Zhao Song, Danqi Chen, Kai Li, Sanjeev Arora

* Findings of EMNLP 2020 

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InstaHide: Instance-hiding Schemes for Private Distributed Learning

Oct 06, 2020
Yangsibo Huang, Zhao Song, Kai Li, Sanjeev Arora

* ICML 2020 

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Light Field View Synthesis via Aperture Flow and Propagation Confidence Map

Sep 07, 2020
Nan Meng, Kai Li, Jianzhuang Liu, Edmund Y. Lam


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Cross-Domain Document Object Detection: Benchmark Suite and Method

Mar 30, 2020
Kai Li, Curtis Wigington, Chris Tensmeyer, Handong Zhao, Nikolaos Barmpalios, Vlad I. Morariu, Varun Manjunatha, Tong Sun, Yun Fu

* To appear in CVPR 2020 

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Adversarial Feature Hallucination Networks for Few-Shot Learning

Mar 30, 2020
Kai Li, Yulun Zhang, Kunpeng Li, Yun Fu

* To appear in CVPR 2020 

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Privacy-preserving Learning via Deep Net Pruning

Mar 04, 2020
Yangsibo Huang, Yushan Su, Sachin Ravi, Zhao Song, Sanjeev Arora, Kai Li


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Rethinking Zero-Shot Learning: A Conditional Visual Classification Perspective

Sep 13, 2019
Kai Li, Martin Renqiang Min, Yun Fu

* Accepted to ICCV 2019 

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Visual Semantic Reasoning for Image-Text Matching

Sep 06, 2019
Kunpeng Li, Yulun Zhang, Kai Li, Yuanyuan Li, Yun Fu

* Accepted to ICCV 2019 (Oral) 

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On-board Deep Q-Network for UAV-assisted Online Power Transfer and Data Collection

Jun 04, 2019
Kai Li, Wei Ni, Eduardo Tovar

* 32 pages, 8 figures 

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Patient-Specific Effects of Medication Using Latent Force Models with Gaussian Processes

Jun 01, 2019
Li-Fang Cheng, Bianca Dumitrascu, Michael Zhang, Corey Chivers, Michael Draugelis, Kai Li, Barbara E. Engelhardt


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FeatherNets: Convolutional Neural Networks as Light as Feather for Face Anti-spoofing

Apr 22, 2019
Peng Zhang, Fuhao Zou, Zhiwen Wu, Nengli Dai, Skarpness Mark, Michael Fu, Juan Zhao, Kai Li

* 10 pages;6 figures 

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Residual Non-local Attention Networks for Image Restoration

Mar 24, 2019
Yulun Zhang, Kunpeng Li, Kai Li, Bineng Zhong, Yun Fu

* To appear in ICLR 2019 

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PZnet: Efficient 3D ConvNet Inference on Manycore CPUs

Mar 18, 2019
Sergiy Popovych, Davit Buniatyan, Aleksandar Zlateski, Kai Li, H. Sebastian Seung


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Fast 3D Line Segment Detection From Unorganized Point Cloud

Jan 08, 2019
Xiaohu Lu, Yahui Liu, Kai Li

* 8 pages, 5 figures 

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Support Neighbor Loss for Person Re-Identification

Aug 18, 2018
Kai Li, Zhengming Ding, Kunpeng Li, Yulun Zhang, Yun Fu

* Accepted by ACM Multimedia (ACM MM) 2018 

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Payoff Control in the Iterated Prisoner's Dilemma

Jul 17, 2018
Dong Hao, Kai Li, Tao Zhou

* Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence. Main track. Pages 296-302. 2018 

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Image Super-Resolution Using Very Deep Residual Channel Attention Networks

Jul 12, 2018
Yulun Zhang, Kunpeng Li, Kai Li, Lichen Wang, Bineng Zhong, Yun Fu

* To appear in ECCV 2018 

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Sparse Multi-Output Gaussian Processes for Medical Time Series Prediction

Jun 21, 2018
Li-Fang Cheng, Gregory Darnell, Bianca Dumitrascu, Corey Chivers, Michael E Draugelis, Kai Li, Barbara E Engelhardt

* Add new results and appendices 

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Deep Ordinal Hashing with Spatial Attention

May 07, 2018
Lu Jin, Xiangbo Shu, Kai Li, Zechao Li, Guo-Jun Qi, Jinhui Tang


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Large Linear Multi-output Gaussian Process Learning

Oct 23, 2017
Vladimir Feinberg, Li-Fang Cheng, Kai Li, Barbara E Engelhardt

* 9 pages, 4 figures, 4 tables 

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From rules to runs: A dynamic epistemic take on imperfect information games

Dec 07, 2015
Kai Li, Yanjing Wang

* draft of a paper accepted by Studies in Logic (published by Sun Yat-Sen University) 

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First-Take-All: Temporal Order-Preserving Hashing for 3D Action Videos

Jun 06, 2015
Jun Ye, Hao Hu, Kai Li, Guo-Jun Qi, Kien A. Hua

* 9 pages, 11 figures 

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Rank Subspace Learning for Compact Hash Codes

Mar 19, 2015
Kai Li, Guojun Qi, Jun Ye, Kien A. Hua

* 10 pages 

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