Greg Olmschenk

3D Hallway Modeling Using a Single Image

Zhigang Zhu, Greg Olmschenk, Zhigang Zhu, 2014, 2014 IEEE Conference on Computer Vision and Pattern Recognition Workshops.

Building Smart and Accessible Transportation Hubs with Internet of Things, Big Data Analytics, and Affective Computing

Yi Yu, Hao Tang, Jie Gong, 2017 .

Crowd Counting with Minimal Data Using Generative Adversarial Networks for Multiple Target Regression

Hao Tang, Zhigang Zhu, Greg Olmschenk, 2018, 2018 IEEE Winter Conference on Applications of Computer Vision (WACV).

Building Smart Transportation Hubs with 3D Vision and Video Technologies to Improve Servicesto People with Disabilities

Ken Yamamoto, Hao Tang, Zhigang Zhu, 2017 .

Mobile real-time single image 3D corridor reconstruction using J-Linkage

Zhigang Zhu, Greg Olmschenk, 2015, 2015 14th IAPR International Conference on Machine Vision Applications (MVA).

ASSIST: Personalized Indoor Navigation via Multimodal Sensors and High-Level Semantic Information

Zhigang Zhu, Greg Olmschenk, Vishnu Nair, 2018, ECCV Workshops.

Improving Dense Crowd Counting Convolutional Neural Networks using Inverse k-Nearest Neighbor Maps and Multiscale Upsampling pdf

Hao Tang, Zhigang Zhu, Greg Olmschenk, 2019, VISIGRAPP.

Mobile Crowd Assisted Navigation for the Visually Impaired

Hanghang Tong, Zhigang Zhu, Christopher Yang, 2015, 2015 IEEE 12th Intl Conf on Ubiquitous Intelligence and Computing and 2015 IEEE 12th Intl Conf on Autonomic and Trusted Computing and 2015 IEEE 15th Intl Conf on Scalable Computing and Communications and Its Associated Workshops (UIC-ATC-ScalCom).

ASSIST: Evaluating the usability and performance of an indoor navigation assistant for blind and visually impaired people

Greg Olmschenk, Zhigang Zhu, Vishnu Nair, 2020, Assistive technology : the official journal of RESNA.

Pitch and Roll Camera Orientation from a Single 2D Image Using Convolutional Neural Networks

Hao Tang, Zhigang Zhu, Greg Olmschenk, 2017, 2017 14th Conference on Computer and Robot Vision (CRV).

Generalizing semi-supervised generative adversarial networks to regression pdf

Hao Tang, Zhigang Zhu, Greg Olmschenk, 2018, Comput. Vis. Image Underst..

Dense Crowd Counting Convolutional Neural Networks with Minimal Data using Semi-Supervised Dual-Goal Generative Adversarial Networks

Hao Tang, Greg Olmschenk, Jin Chen, 2019, CVPR Workshops.

Evaluating Crowd Sourced Navigation for the Visually Impaired in a Virtual Environment

Zhigang Zhu, Tony Ro, Greg Olmschenk, 2015, 2015 IEEE International Conference on Mobile Services.

Semi-supervised Regression with Generative Adversarial Networks Using Minimal Labeled Data

Greg Olmschenk, G. Olmschenk, 2019 .

Identifying Planetary Transit Candidates in TESS Full-frame Image Light Curves via Convolutional Neural Networks

Greg Olmschenk, Gioia Rau, Thomas Barclay, 2021, The Astronomical Journal.

Building Smart Transportation Hubs with Internet of Things to Improve Services to People with Disabilities

Zhigang Zhu, Jie Gong, Greg Olmschenk, 2017 .