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

Add to Chrome

Add to Firefox

Picture for Xuan Zhao

Xuan Zhao

Invariant Content Synergistic Learning for Domain Generalization of Medical Image Segmentation

May 05, 2022
Yuxin Kang, Hansheng Li, Xuan Zhao, Dongqing Hu, Feihong Liu, Lei Cui, Jun Feng, Lin Yang

Figure 1 for Invariant Content Synergistic Learning for Domain Generalization of Medical Image Segmentation

Figure 2 for Invariant Content Synergistic Learning for Domain Generalization of Medical Image Segmentation

Figure 3 for Invariant Content Synergistic Learning for Domain Generalization of Medical Image Segmentation

Figure 4 for Invariant Content Synergistic Learning for Domain Generalization of Medical Image Segmentation

* 10 pages, 5 figures

Access Paper or Ask Questions

Homogeneous Low-Resolution Face Recognition Method based Correlation Features

Nov 25, 2021
Xuan Zhao

Figure 1 for Homogeneous Low-Resolution Face Recognition Method based Correlation Features

Figure 2 for Homogeneous Low-Resolution Face Recognition Method based Correlation Features

Figure 3 for Homogeneous Low-Resolution Face Recognition Method based Correlation Features

Figure 4 for Homogeneous Low-Resolution Face Recognition Method based Correlation Features

* 8 pages, 9 figures

Access Paper or Ask Questions

Reinforcement Learning Agent Training with Goals for Real World Tasks

Jul 21, 2021
Xuan Zhao, Marcos Campos

Figure 1 for Reinforcement Learning Agent Training with Goals for Real World Tasks

Figure 2 for Reinforcement Learning Agent Training with Goals for Real World Tasks

* Accepted to Reinforcement Learning for Real Life (RL4RealLife) Workshop in the 38th International Conference on Machine Learning

Access Paper or Ask Questions

NTIRE 2020 Challenge on NonHomogeneous Dehazing

May 07, 2020
Codruta O. Ancuti, Cosmin Ancuti, Florin-Alexandru Vasluianu, Radu Timofte, Jing Liu, Haiyan Wu, Yuan Xie, Yanyun Qu, Lizhuang Ma, Ziling Huang, Qili Deng, Ju-Chin Chao, Tsung-Shan Yang, Peng-Wen Chen, Po-Min Hsu, Tzu-Yi Liao, Chung-En Sun, Pei-Yuan Wu, Jeonghyeok Do, Jongmin Park, Munchurl Kim, Kareem Metwaly, Xuelu Li, Tiantong Guo, Vishal Monga, Mingzhao Yu, Venkateswararao Cherukuri, Shiue-Yuan Chuang, Tsung-Nan Lin, David Lee, Jerome Chang, Zhan-Han Wang, Yu-Bang Chang, Chang-Hong Lin, Yu Dong, Hongyu Zhou, Xiangzhen Kong, Sourya Dipta Das, Saikat Dutta, Xuan Zhao, Bing Ouyang, Dennis Estrada, Meiqi Wang, Tianqi Su, Siyi Chen, Bangyong Sun, Vincent Whannou de Dravo, Zhe Yu, Pratik Narang, Aryan Mehra, Navaneeth Raghunath, Murari Mandal

Figure 1 for NTIRE 2020 Challenge on NonHomogeneous Dehazing

Figure 2 for NTIRE 2020 Challenge on NonHomogeneous Dehazing

Figure 3 for NTIRE 2020 Challenge on NonHomogeneous Dehazing

Figure 4 for NTIRE 2020 Challenge on NonHomogeneous Dehazing

* CVPR Workshops Proceedings 2020

Access Paper or Ask Questions

NTIRE 2020 Challenge on Image Demoireing: Methods and Results

May 06, 2020
Shanxin Yuan, Radu Timofte, Ales Leonardis, Gregory Slabaugh, Xiaotong Luo, Jiangtao Zhang, Yanyun Qu, Ming Hong, Yuan Xie, Cuihua Li, Dejia Xu, Yihao Chu, Qingyan Sun, Shuai Liu, Ziyao Zong, Nan Nan, Chenghua Li, Sangmin Kim, Hyungjoon Nam, Jisu Kim, Jechang Jeong, Manri Cheon, Sung-Jun Yoon, Byungyeon Kang, Junwoo Lee, Bolun Zheng, Xiaohong Liu, Linhui Dai, Jun Chen, Xi Cheng, Zhenyong Fu, Jian Yang, Chul Lee, An Gia Vien, Hyunkook Park, Sabari Nathan, M. Parisa Beham, S Mohamed Mansoor Roomi, Florian Lemarchand, Maxime Pelcat, Erwan Nogues, Densen Puthussery, Hrishikesh P S, Jiji C V, Ashish Sinha, Xuan Zhao

Figure 1 for NTIRE 2020 Challenge on Image Demoireing: Methods and Results

Figure 2 for NTIRE 2020 Challenge on Image Demoireing: Methods and Results

Figure 3 for NTIRE 2020 Challenge on Image Demoireing: Methods and Results

Figure 4 for NTIRE 2020 Challenge on Image Demoireing: Methods and Results

* CVPRW 2020

Access Paper or Ask Questions

PROPS: Probabilistic personalization of black-box sequence models

Mar 05, 2019
Michael Thomas Wojnowicz, Xuan Zhao

Figure 1 for PROPS: Probabilistic personalization of black-box sequence models

Figure 2 for PROPS: Probabilistic personalization of black-box sequence models

Figure 3 for PROPS: Probabilistic personalization of black-box sequence models

Figure 4 for PROPS: Probabilistic personalization of black-box sequence models

* 2018 IEEE International Conference on Big Data (Big Data), 4768-4774

Access Paper or Ask Questions

Dynamic Interaction Probabilistic Movement Primitives

Jan 30, 2019
Shuangda Duan, Longxin Chen, Hongmin Wu, Yaxiang Wang, Xuan Zhao, Juan Rojas

Figure 1 for Dynamic Interaction Probabilistic Movement Primitives

Figure 2 for Dynamic Interaction Probabilistic Movement Primitives

Figure 3 for Dynamic Interaction Probabilistic Movement Primitives

Figure 4 for Dynamic Interaction Probabilistic Movement Primitives

* 8 pages, 9 figures, 2 tables

Access Paper or Ask Questions

Projecting "better than randomly": How to reduce the dimensionality of very large datasets in a way that outperforms random projections

Jan 03, 2019
Michael Wojnowicz, Di Zhang, Glenn Chisholm, Xuan Zhao, Matt Wolff

Figure 1 for Projecting "better than randomly": How to reduce the dimensionality of very large datasets in a way that outperforms random projections

Figure 2 for Projecting "better than randomly": How to reduce the dimensionality of very large datasets in a way that outperforms random projections

Figure 3 for Projecting "better than randomly": How to reduce the dimensionality of very large datasets in a way that outperforms random projections

Figure 4 for Projecting "better than randomly": How to reduce the dimensionality of very large datasets in a way that outperforms random projections

* 2016 IEEE 3rd International Conference on Data Science and Advanced Analytics (DSAA) (pp. 184-193). IEEE
* Originally published in IEEE DSAA in 2016; this post-print fixes a rendering error of the += operator in Algorithm 3

Access Paper or Ask Questions

Generalized Convolutional Neural Networks for Point Cloud Data

Oct 19, 2018
Aleksandr Savchenkov, Andrew Davis, Xuan Zhao

Figure 1 for Generalized Convolutional Neural Networks for Point Cloud Data

Figure 2 for Generalized Convolutional Neural Networks for Point Cloud Data

Figure 3 for Generalized Convolutional Neural Networks for Point Cloud Data

Figure 4 for Generalized Convolutional Neural Networks for Point Cloud Data

Access Paper or Ask Questions