3D Hallway Modeling Using a Single Image. - Greg Olmschenk; Zhigang Zhu 001 (CVPR Workshops, 2014)

Evaluating Crowd Sourced Navigation for the Visually Impaired in a Virtual Environment. - Wai L. Khoo; Greg Olmschenk; Zhigang Zhu 001; Tony Ro (IEEE MS, 2015)

Mobile real-time single image 3D corridor reconstruction using J-Linkage. - Greg Olmschenk; Zhigang Zhu 001 (MVA, 2015)

Mobile Crowd Assisted Navigation for the Visually Impaired. - Greg Olmschenk; Christopher Yang; Zhigang Zhu 001; Hanghang Tong; William H. Seiple (UIC/ATC/ScalCom, 2015)

Pitch and Roll Camera Orientation from a Single 2D Image Using Convolutional Neural Networks. - Greg Olmschenk; Hao Tang 011; Zhigang Zhu 001 (CRV, 2017)

ASSIST: Personalized Indoor Navigation via Multimodal Sensors and High-Level Semantic Information. - Vishnu Nair; Manjekar Budhai; Greg Olmschenk; William H. Seiple; Zhigang Zhu 001 (ECCV Workshops (6), 2018)

Crowd Counting with Minimal Data Using Generative Adversarial Networks for Multiple Target Regression. - Greg Olmschenk; Hao Tang 011; Zhigang Zhu 001 (WACV, 2018)

Generalizing semi-supervised generative adversarial networks to regression. - Greg Olmschenk; Zhigang Zhu 001; Hao Tang 011 (CoRR, 2018)

Dense Crowd Counting Convolutional Neural Networks with Minimal Data using Semi-Supervised Dual-Goal Generative Adversarial Networks. - Greg Olmschenk; Jin Chen; Hao Tang 011; Zhigang Zhu 001 (CVPR Workshops, 2019)

Generalizing semi-supervised generative adversarial networks to regression using feature contrasting. - Greg Olmschenk; Zhigang Zhu 001; Hao Tang 011 (Comput. Vis. Image Underst., 2019)

Semi-supervised Regression with Generative Adversarial Networks Using Minimal Labeled Data. - Greg Olmschenk (2019)

Improving Dense Crowd Counting Convolutional Neural Networks using Inverse k-Nearest Neighbor Maps and Multiscale Upsampling. - Greg Olmschenk; Hao Tang 011; Zhigang Zhu 001 (VISIGRAPP (5: VISAPP), 2020)

Identifying Planetary Transit Candidates in TESS Full-Frame Image Light Curves via Convolutional Neural Networks. - Greg Olmschenk; Stela Ishitani Silva; Gioia Rau; Richard K. Barry; Ethan Kruse; Luca Cacciapuoti; Veselin B. Kostov; Brian P. Powell; Edward Wyrwas; Jeremy D. Schnittman; Thomas Barclay (CoRR, 2021)

Impact of Labeling Schemes on Dense Crowd Counting Using Convolutional Neural Networks with Multiscale Upsampling. - Greg Olmschenk; Xuan Wang; Hao Tang 011; Zhigang Zhu 001 (Int. J. Pattern Recognit. Artif. Intell., 2021)

Short-Period Variables in TESS Full-Frame Image Light Curves Identified via Convolutional Neural Networks. - 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 (CoRR, 2024)

Exoplanet Transit Candidate Identification in TESS Full-Frame Images via a Transformer-Based Algorithm. - Helem Salinas; Rafael Brahm; Greg Olmschenk; Richard K. Barry; Karim Pichara; Stela Ishitani Silva; Vladimir Araujo (CoRR, 2025)

The TESS Ten Thousand Catalog: 10,001 uniformly-vetted and -validated Eclipsing Binary Stars detected in Full-Frame Image data by machine learning and analyzed by citizen scientists. - Veselin B. Kostov; Brian P. Powell; Aline U. Fornear; Marco Z. Di Fraia; Robert Gagliano; Thomas L. Jacobs; Julien S. de Lambilly; Hugo A. Durantini Luca; Steven R. Majewski; Mark Omohundro; Jerome Orosz; Saul A. Rappaport; et al. (CoRR, 2025)