| Generalizing semi-supervised generative adversarial networks to regression using feature contrasting G Olmschenk, Z Zhu, H Tang Computer Vision and Image Understanding 186, 1-12, 2019 | 70 | 2019 |
| Crowd counting with minimal data using generative adversarial networks for multiple target regression G Olmschenk, H Tang, Z Zhu 2018 IEEE winter conference on applications of computer vision (WACV), 1151-1159, 2018 | 36 | 2018 |
| Improving dense crowd counting convolutional neural networks using inverse k-nearest neighbor maps and multiscale upsampling G Olmschenk, H Tang, Z Zhu arXiv preprint arXiv:1902.05379, 2019 | 31 | 2019 |
| Dense crowd counting convolutional neural networks with minimal data using semi-supervised dual-goal generative adversarial networks G Olmschenk, J Chen, H Tang, Z Zhu IEEE Conference on Computer Vision and Pattern Recognition: Learning with …, 2019 | 29 | 2019 |
| Robot-based mobile sensing system for high-resolution indoor temperature monitoring Y Geng, M Yuan, H Tang, Y Wang, Z Wei, B Lin, W Zhuang Automation in Construction 142, 104477, 2022 | 27 | 2022 |
| Automatic pre-journey indoor map generation using autocad floor plan H Tang, N Tsering, F Hu, Z Zhu Journal on Technology & Persons with Disabilities 4, 2016 | 26 | 2016 |
| Integrating AR and VR for mobile remote collaboration J Venerella, T Franklin, L Sherpa, H Tang, Z Zhu 2019 IEEE International Symposium on Mixed and Augmented Reality Adjunct …, 2019 | 22 | 2019 |
| Pitch and roll camera orientation from a single 2D image using convolutional neural networks G Olmschenk, H Tang, Z Zhu 2017 14th conference on computer and robot vision (CRV), 261-268, 2017 | 21 | 2017 |
| Content-based 3-D mosaics for representing videos of dynamic urban scenes H Tang, Z Zhu IEEE transactions on circuits and systems for video technology 22 (2), 295-308, 2011 | 20 | 2011 |
| Exploring virtual environments by visually impaired using a mixed reality cane without visual feedback L Zhang, K Wu, B Yang, H Tang, Z Zhu 2020 IEEE International Symposium on Mixed and Augmented Reality Adjunct …, 2020 | 15 | 2020 |
| Investigating the influence of environmental information on perceived indoor environmental quality: An exploratory study H Tang, Y Ding, X Liu, BC Singer Journal of Building Engineering 48, 103933, 2022 | 14 | 2022 |
| Dynamic 3d urban scene modeling using multiple pushbroom mosaics H Tang, Z Zhu, G Wolberg Third International Symposium on 3D Data Processing, Visualization, and …, 2006 | 14 | 2006 |
| A segmentation-based stereovision approach for assisting visually impaired people H Tang, Z Zhu International Conference on Computers for Handicapped Persons, 581-587, 2012 | 12 | 2012 |
| Automating the interpretation of PM2.5 time‐resolved measurements using a data‐driven approach H Tang, WR Chan, MD Sohn Indoor air 31 (3), 860-871, 2021 | 11 | 2021 |
| Designing of prompts for hate speech recognition with in-context learning L Han, H Tang 2022 International Conference on Computational Science and Computational …, 2022 | 10 | 2022 |
| Multimodal information integration for indoor navigation using a smartphone Y Chang, J Chen, T Franklin, L Zhang, A Ruci, H Tang, Z Zhu 2020 IEEE 21st International Conference on Information Reuse and Integration …, 2020 | 10 | 2020 |
| Content-based 3D mosaic representation for video of dynamic 3D scenes Z Zhu, H Tang, G Wolberg, JR Layne 34th Applied Imagery and Pattern Recognition Workshop (AIPR'05), 6 pp.-203, 2005 | 10 | 2005 |
| Unlocking ventilation flexibility of large airport terminals through an optimal CO2-based demand-controlled ventilation strategy H Tang, J Yu, Y Geng, Z Wang, X Liu, Z Huang, B Lin Building and Environment 244, 110808, 2023 | 9 | 2023 |
| Exploring an affective and responsive virtual environment to improve remote learning J Qi, H Tang, Z Zhu Virtual Worlds 2 (1), 2023 | 9 | 2023 |
| 3D and moving target extraction from dynamic pushbroom stereo mosaics Z Zhu, H Tang, B Shen, G Wolberg 2005 IEEE Computer Society Conference on Computer Vision and Pattern …, 2005 | 9 | 2005 |
