Zhigang Zhu

Ou, H. N., Ro, S. H., Gong, J. ., & Zhu, Z. . (2021). Building an Annotated Damage Image Database to Support AI-Assisted Hurricane Impact Analysis. In 2021 IEEE International Conference on Imaging Systems and Techniques (IST) (p. 6). http://doi.org/10.1109/IST50367.2021.9651432

Gong, J. ., Feeley, C. ., Tang, H. ., Olmschenk, G. ., Nair, V. ., Zhou, Z. ., … Zhu, Z. . (2017). Building Smart and Accessible Transportation Hubs with Internet of Things, Big Data Analytics, and Affective Computing. In International Conference on Sustainable Infrastructure 2017 (p. 13). http://doi.org/10.1061/9780784481219.012

Olmschenk, G. ., Tang, H. ., & Zhu, Z. . (2018). Crowd Counting with Minimal Data Using Generative Adversarial Networks for Multiple Target Regression. In 2018 IEEE Winter Conference on Applications of Computer Vision (WACV) (p. 9). http://doi.org/10.1109/WACV.2018.00131

Zhang, L. ., & Zhu, Z. . (2019). Unsupervised Feature Learning for Point Cloud by Contrasting and Clustering with Graph Convolutional Neural Network. In CVPR Workshop on 3D Scene Understanding for Vision, Graphics, and Robotics. Retrieved from https://par.nsf.gov/biblio/10110460

Olmschenk, G. ., Zhu, Z. ., & Tang, H. . (2019). Generalizing semi-supervised generative adversarial networks to regression using feature contrasting. Computer Vision and Image Understanding, 186(C), 12. http://doi.org/10.1016/j.cviu.2019.06.004

Zhang, L. ., & Zhu, Z. . (2019). Unsupervised Feature Learning for Point Cloud Understanding by Contrasting and Clustering Using Graph Convolutional Neural Networks. In Proceedings - 2019 International Conference on 3D Vision (3DV) (p. 10). http://doi.org/10.1109/3DV.2019.00051

Chen, L. ., Zou, Y. ., Chang, Y. ., Liu, J. ., Lin, B. ., & Zhu, Z. . (2019). Multi-level Scene Modeling and Matching for Smartphone-Based Indoor Localization. In Proceedings - International Symposium on Mixed and Augmented Reality, ISMAR (p. 6). http://doi.org/10.1109/ISMAR-Adjunct.2019.00-22

Venerella, J. ., Franklin, T. ., Sherpa, L. ., Tang, H. ., & Zhu, Z. . (2019). Integrating AR and VR for Mobile Remote Collaboration. In Proceedings - International Symposium on Mixed and Augmented Reality, ISMAR (p. 5). http://doi.org/10.1109/ISMAR-Adjunct.2019.00041

Olmschenk, G. ., Tang, H. ., & Zhu, Z. . (2020). Improving Dense Crowd Counting Convolutional Neural Networks using Inverse k-Nearest Neighbor Maps and Multiscale Upsampling [Improving Dense Crowd Counting Convolutional Neural Networks using Inverse k-Nearest Neighbor Maps and Multiscale Upsampling]. In 15th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (Vol. 5, p. 11). http://doi.org/10.5220/0009156201850195

Nair, V. ., Olmschenk, G. ., Seiple, W. H., & Zhu, Z. . (2020). ASSIST: Evaluating the usability and performance of an indoor navigation assistant for blind and visually impaired people. Assistive Technology, 11. http://doi.org/10.1080/10400435.2020.1809553