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Jinlin Liu - IEEE Xplore Author Profile
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Jinlin Liu

Publications
4
Citations
165
Publications by Year
20162020
Co-Authors:
Show All Co-Authors (72)
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Jinlin Liu

Affiliation

Alibaba Group
Department of Automation, Tsinghua University

Publication Topics

Biography

Jinlin Liu received the B.S. degree in automation from Tsinghua University, Beijing, China, in 2013, where he is currently pursuing the Ph.D. degree with the Department of Automation.,His research interests include pattern precognition, machine learning, and signal processing.(Based on document published on 21 December 2016).
Publications
4
Citations
165
Publications by Year
20162020
Co-Authors:
Show All Co-Authors (72)
Author's Published Works

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Boosting Semantic Human Matting With Coarse Annotations

Jinlin Liu;Yuan Yao;Wendi Hou;Miaomiao Cui;Xuansong Xie;Changshui Zhang;Xian-Sheng Hua

2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
Year: 2020 | Conference Paper |
Cited by: Papers (59)
Semantic human matting aims to estimate the per-pixel opacity of the foreground human regions. It is quite challenging that usually requires user interactive trimaps and plenty of high quality annotated data. Annotating such kind of data is labor intensive and requires great skills beyond normal users, especially considering the very detailed hair part of humans. In contrast, coarse annotated huma...Show More

Boosting Semantic Human Matting With Coarse Annotations

Jinlin Liu;Yuan Yao;Wendi Hou;Miaomiao Cui;Xuansong Xie;Changshui Zhang;Xian-Sheng Hua

Year: 2020 | Conference Paper |

NTIRE 2018 Challenge on Image Dehazing: Methods and Results

Cosmin Ancuti;Codruta O. Ancuti;Radu Timofte;Luc Van Gool;Lei Zhang;Ming-Hsuan Yang;Vishal M. Patel;He Zhang;Vishwanath A. Sindagi;Ruhao Zhao;Xiaoping Ma;Yong Qin;Limin Jia;Klaus Friedel;Sehwan Ki;Hyeonjun Sim;Jae-Seok Choi;Sooye Kim;Soomin Seo;Saehun Kim;Munchurl Kim;Ranjan Mondal;Sanchayan Santra;Bhabatosh Chanda;Jinlin Liu;Kangfu Mei;Juncheng Li;Luyao;Faming Fang;Aiwen Jiang;Xiaochao Qu;Ting Liu;Pengfei Wang;Biao Sun;Jiangfan Deng;Yuhang Zhao;Ming Hong;Jingying Huang;Yizhi Chen;Erin Chen;Xiaoli Yu;Tingting Wu;Anil Genc;Deniz Engin;Hazim Kemal Ekenel;Wenzhe Liu;Tong Tong;Gen Li;Qinquan Gao;Zhan Li;Daofa Tang;Yuling Chen;Ziying Huo;Aitor Alvarez-Gila;Adrian Galdran;Alessandro Bria;Javier Vazquez-Corral;Marcelo Bertalmo;H. Seckin Demir;Omer Faruk Adil;Huynh Xuan Phung;Xin Jin;Jiale Chen;Chaowei Shan;Zhibo Chen

2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)
Year: 2018 | Conference Paper |
Cited by: Papers (87)
This paper reviews the first challenge on image dehazing (restoration of rich details in hazy image) with focus on proposed solutions and results. The challenge had 2 tracks. Track 1 employed the indoor images (using I-HAZE dataset), while Track 2 outdoor images (using O-HAZE dataset). The hazy images have been captured in presence of real haze, generated by professional haze machines. I-HAZE data...Show More

NTIRE 2018 Challenge on Image Dehazing: Methods and Results

Cosmin Ancuti;Codruta O. Ancuti;Radu Timofte;Luc Van Gool;Lei Zhang;Ming-Hsuan Yang;Vishal M. Patel;He Zhang;Vishwanath A. Sindagi;Ruhao Zhao;Xiaoping Ma;Yong Qin;Limin Jia;Klaus Friedel;Sehwan Ki;Hyeonjun Sim;Jae-Seok Choi;Sooye Kim;Soomin Seo;Saehun Kim;Munchurl Kim;Ranjan Mondal;Sanchayan Santra;Bhabatosh Chanda;Jinlin Liu;Kangfu Mei;Juncheng Li;Luyao;Faming Fang;Aiwen Jiang;Xiaochao Qu;Ting Liu;Pengfei Wang;Biao Sun;Jiangfan Deng;Yuhang Zhao;Ming Hong;Jingying Huang;Yizhi Chen;Erin Chen;Xiaoli Yu;Tingting Wu;Anil Genc;Deniz Engin;Hazim Kemal Ekenel;Wenzhe Liu;Tong Tong;Gen Li;Qinquan Gao;Zhan Li;Daofa Tang;Yuling Chen;Ziying Huo;Aitor Alvarez-Gila;Adrian Galdran;Alessandro Bria;Javier Vazquez-Corral;Marcelo Bertalmo;H. Seckin Demir;Omer Faruk Adil;Huynh Xuan Phung;Xin Jin;Jiale Chen;Chaowei Shan;Zhibo Chen

Year: 2018 | Conference Paper |

Adaptive Multiple Subtraction Based on Sparse Coding

Jinlin Liu;Wenkai Lu;Yingqiang Zhang

IEEE Transactions on Geoscience and Remote Sensing
Year: 2017 | Volume: 55, Issue: 3 | Journal Article |
Cited by: Papers (9)
Multiple removal is one of the key steps in seismic data processing. In the surface-related multiple elimination method, the adaptive multiple subtraction technique is of great importance. In this paper, we propose a new pattern-based adaptive multiple subtraction method using the sparse coding technique (AMS-SC). By assuming that the multiples consist of different patterns from those of the prima...Show More

Adaptive Multiple Subtraction Based on Sparse Coding

Jinlin Liu;Wenkai Lu;Yingqiang Zhang

Year: 2017 | Volume: 55, Issue: 3 | Journal Article |

A Probabilistic Framework for Spectral–Spatial Classification of Hyperspectral Images

Jinlin Liu;Wenkai Lu

IEEE Transactions on Geoscience and Remote Sensing
Year: 2016 | Volume: 54, Issue: 9 | Journal Article |
Cited by: Papers (10)
Classification of hyperspectral images usually suffers from high dimensionality and few reference data, which limits the performance of the pixelwise classifiers. The spectral-spatial classifiers, which integrate the spectral data and the spatial information during the classification, perform impressively in terms of the high classification accuracy and the homogeneous appearance of the classifica...Show More

A Probabilistic Framework for Spectral–Spatial Classification of Hyperspectral Images

Jinlin Liu;Wenkai Lu

Year: 2016 | Volume: 54, Issue: 9 | Journal Article |

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