G
Greg Olmschenk
Researcher at Goddard Space Flight Center
Publications - 50
Citations - 337
Greg Olmschenk is an academic researcher from Goddard Space Flight Center. The author has contributed to research in topics: Gravitational microlensing & Planet. The author has an hindex of 7, co-authored 25 publications receiving 128 citations. Previous affiliations of Greg Olmschenk include City University of New York & The Graduate Center, CUNY.
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Journal ArticleDOI
An Isolated Mass-gap Black Hole or Neutron Star Detected with Astrometric Microlensing
Casey Lam,Jessica R. Lu,Andrzej Udalski,Ian A. Bond,David P. Bennett,Jan Skowron,P. Mróz,R. Poleski,Takahiro Sumi,Michał K. Szymański,Szymon Kozłowski,P. Pietrukowicz,Igor Soszyński,Krzysztof Ulaczyk,Łukasz Wyrzykowski,Shota Miyazaki,Daisuke Suzuki,Naoki Koshimoto,Nicholas J. Rattenbury,Matthew W. Hosek,Fumio Abe,Richard K. Barry,Aparna Bhattacharya,Akihiko Fukui,Hirosane Fujii,Yuki Hirao,Yoshitaka Itow,Rintaro Kirikawa,Iona Kondo,Yutaka Matsubara,Sho Matsumoto,Yasushi Muraki,Greg Olmschenk,Clément Ranc,A. Okamura,Yuki Satoh,S. Ishitani Silva,T. Toda,P. J. Tristram,Aikaterini Vandorou,H. Yama,Natasha S. Abrams,S. Agarwal,S. J. Rose,Sean K. Terry +44 more
TL;DR: The first definitive discovery of a compact object through astrometric microlensing and it is most likely either a neutron star or a low-mass black hole was reported in this article .
Journal ArticleDOI
Generalizing semi-supervised generative adversarial networks to regression using feature contrasting
TL;DR: In this article, a semi-supervised regression GAN is proposed for regression problems and applied to age estimation, driving steering angle prediction, and crowd counting from a single image.
Proceedings ArticleDOI
Crowd Counting with Minimal Data Using Generative Adversarial Networks for Multiple Target Regression
TL;DR: This work uses a generative adversarial network (GAN) to train crowd counting networks using minimal data and provides experimental results which show that the GAN is able to outperform the CNN even when the CNN has access to significantly more labeled data.
Journal ArticleDOI
Systematic KMTNet Planetary Anomaly Search. I. OGLE-2019-BLG-1053Lb, a Buried Terrestrial Planet
Weicheng Zang,Kyu-Ha Hwang,Andrzej Udalski,Tianshu Wang,Wei Zhu,Takahiro Sumi,Jennifer C. Yee,Andrew Gould,Andrew Gould,Shude Mao,Shude Mao,Xiangyu Zhang,Michael D. Albrow,Sun-Ju Chung,Sun-Ju Chung,Cheongho Han,Youn Kil Jung,Yoon-Hyun Ryu,In-Gu Shin,Yossi Shvartzvald,Sang-Mok Cha,Sang-Mok Cha,Dong-Jin Kim,Hyoun-Woo Kim,Seung-Lee Kim,Seung-Lee Kim,Chung-Uk Lee,Dong-Joo Lee,Yongseok Lee,Yongseok Lee,Byeong-Gon Park,Byeong-Gon Park,Richard W. Pogge,Przemek Mróz,Przemek Mróz,Jan Skowron,Radosław Poleski,Michał K. Szymański,Igor Soszyński,Paweł Pietrukowicz,Szymon Kozłowski,Krzysztof Ulaczyk,Krzysztof A. Rybicki,Patryk Iwanek,M. Wrona,Mariusz Gromadzki,Ian A. Bond,Fumio Abe,Richard K. Barry,David P. Bennett,David P. Bennett,Aparna Bhattacharya,Aparna Bhattacharya,Martin Donachie,H. Fujii,Akihiko Fukui,Akihiko Fukui,Yuki Hirao,Yoshitaka Itow,Rintaro Kirikawa,Iona Kondo,Naoki Koshimoto,Man Cheung Alex Li,Yutaka Matsubara,Yasushi Muraki,Shota Miyazaki,Greg Olmschenk,Clément Ranc,Nicholas J. Rattenbury,Yuki Satoh,Hikaru Shoji,Stela Ishitani Silva,Stela Ishitani Silva,Daisuke Suzuki,Yuzuru Tanaka,Paul J. Tristram,Tsubasa Yamawaki,Atsunori Yonehara,Charles Beichman,Geoffery Bryden,Sebastiano Calchi Novati,Sean Carey,B. Scott Gaudi,Calen B. Henderson,Samson A. Johnson +84 more
Journal ArticleDOI
ASSIST: Evaluating the usability and performance of an indoor navigation assistant for blind and visually impaired people.
TL;DR: The studies show that ASSIST is useful in providing users with navigational guidance, improving their efficiency and (more significantly) their safety and accuracy in wayfinding indoors.