Greg Olmschenk

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 11

Top Topics

Convolutional Neural Networks

Top Venues

Int. J. Pattern Recognit. Artif. Intell.

Publications

Greg Olmschenk, Richard K. Barry, Stela Ishitani Silva, Brian P. Powell, Ethan Kruse, Jeremy D. Schnittman, Agnieszka M. Cieplak, Thomas Barclay, Siddhant Solanki, Bianca Ortega, John Baker, Yesenia Helem Salinas Mamani
Short-Period Variables in TESS Full-Frame Image Light Curves Identified via Convolutional Neural Networks. CoRR (2024)
Greg Olmschenk, Xuan Wang, Hao Tang, Zhigang Zhu
Impact of Labeling Schemes on Dense Crowd Counting Using Convolutional Neural Networks with Multiscale Upsampling. Int. J. Pattern Recognit. Artif. Intell. 35 (16) (2021)
Greg Olmschenk, Stela Ishitani Silva, Gioia Rau, Richard K. Barry, Ethan Kruse, Luca Cacciapuoti, Veselin Kostov, Brian P. Powell, Edward Wyrwas, Jeremy D. Schnittman, Thomas Barclay
Identifying Planetary Transit Candidates in TESS Full-Frame Image Light Curves via Convolutional Neural Networks. CoRR (2021)
Greg Olmschenk, Hao Tang, Zhigang Zhu
Improving Dense Crowd Counting Convolutional Neural Networks using Inverse k-Nearest Neighbor Maps and Multiscale Upsampling. VISIGRAPP (5: VISAPP) (2020)
Greg Olmschenk, Hao Tang, Zhigang Zhu
Improving Dense Crowd Counting Convolutional Neural Networks using Inverse k-Nearest Neighbor Maps and Multiscale Upsampling. CoRR (2019)
Greg Olmschenk, Zhigang Zhu, Hao Tang
Generalizing semi-supervised generative adversarial networks to regression using feature contrasting. Comput. Vis. Image Underst. 186 (2019)
Greg Olmschenk, Jin Chen, Hao Tang, Zhigang Zhu
Dense Crowd Counting Convolutional Neural Networks with Minimal Data using Semi-Supervised Dual-Goal Generative Adversarial Networks. CVPR Workshops (2019)
Greg Olmschenk, Hao Tang, Zhigang Zhu
Crowd Counting with Minimal Data Using Generative Adversarial Networks for Multiple Target Regression. WACV (2018)
Vishnu Nair, Manjekar Budhai, Greg Olmschenk, William H. Seiple, Zhigang Zhu
ASSIST: Personalized Indoor Navigation via Multimodal Sensors and High-Level Semantic Information. ECCV Workshops (6) (2018)
Greg Olmschenk, Zhigang Zhu, Hao Tang
Generalizing semi-supervised generative adversarial networks to regression. CoRR (2018)
Greg Olmschenk, Hao Tang, Zhigang Zhu
Pitch and Roll Camera Orientation from a Single 2D Image Using Convolutional Neural Networks. CRV (2017)
Greg Olmschenk, Christopher Yang, Zhigang Zhu, Hanghang Tong, William H. Seiple
Mobile Crowd Assisted Navigation for the Visually Impaired. UIC/ATC/ScalCom (2015)
Wai L. Khoo, Greg Olmschenk, Zhigang Zhu, Tony Ro
Evaluating Crowd Sourced Navigation for the Visually Impaired in a Virtual Environment. IEEE MS (2015)
Greg Olmschenk, Zhigang Zhu
Mobile real-time single image 3D corridor reconstruction using J-Linkage. MVA (2015)
Greg Olmschenk, Zhigang Zhu
3D Hallway Modeling Using a Single Image. CVPR Workshops (2014)