Search Results for author: Jie Qiu

Found 3 papers, 2 papers with code

Garbage In, Garbage Out? Do Machine Learning Application Papers in Social Computing Report Where Human-Labeled Training Data Comes From?

1 code implementation17 Dec 2019 R. Stuart Geiger, Kevin Yu, Yanlai Yang, Mindy Dai, Jie Qiu, Rebekah Tang, Jenny Huang

Many machine learning projects for new application areas involve teams of humans who label data for a particular purpose, from hiring crowdworkers to the paper's authors labeling the data themselves.

BIG-bench Machine Learning

Supermassive Black Holes with High Accretion Rates in Active Galactic Nuclei. VIII. Structure of the Broad-Line Region and Mass of the Central Black Hole in Mrk 142

no code implementations15 Nov 2018 Yan-Rong Li, Yu-Yang Songsheng, Jie Qiu, Chen Hu, Pu Du, Kai-Xing Lu, Ying-Ke Huang, Jin-Ming Bai, Wei-Hao Bian, Ye-Fei Yuan, Luis C. Ho, Jian-Min Wang

We apply three BLR models with different prescriptions of BLR clouds distributions and find that the best model for fitting the data of Mrk 142 is a two-zone BLR model, consistent with the theoretical BLR model surrounding slim accretion disks.

Astrophysics of Galaxies Instrumentation and Methods for Astrophysics

Pose-Normalized Image Generation for Person Re-identification

2 code implementations ECCV 2018 Xuelin Qian, Yanwei Fu, Tao Xiang, Wenxuan Wang, Jie Qiu, Yang Wu, Yu-Gang Jiang, xiangyang xue

Person Re-identification (re-id) faces two major challenges: the lack of cross-view paired training data and learning discriminative identity-sensitive and view-invariant features in the presence of large pose variations.

Generative Adversarial Network Image Generation +2

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