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Publications

Peer-Reviewed Journal Papers (2012-present):

  1. Chen H, Zhu Z, Tang H, Blasch E, Pham KD, Chen G. Flying Projectile Attitude Determination from Ground-Based Monocular Imagery with a Priori Knowledge. Information. 2024; 15(4):201. https://doi.org/10.3390/info15040201.
  2. Xia J, Gong G, Liu J, Zhu Z, Tang H. Pedestrian-Accessible Infrastructure Inventory: Enabling and Assessing Zero-Shot Segmentation on Multi-Mode Geospatial Data for All Pedestrian Types. Journal of Imaging. 2024; 10(3):52. [doi]
  3. Wang, X., Tang, H. and Zhu, Z. GMC: A General Framework of Multi-stage Context Learning and Utilization for Visual Detection Tasks. Computer Vision and Image Understanding, Volume 241, 2024, 103944, ISSN 1077-3142, [doi].
  4. X. Wang, J. Liu, H. Tang,  Z. Zhu, and W. Seiple. An AI-enabled Annotation Platform for Storefront Accessibility and Localization, Journal on Technology and Persons with Disabilities, 2023
  5. Qi, Jianing, Hao Tang, and Zhigang Zhu. “Exploring an Affective and Responsive Virtual Environment to Improve Remote Learning”, Virtual Worlds 2, no. 1, 2023: 53-74. [doi]
  6. J. Liu, H. Tang, W. Seiple, Z. Zhu. Annotating Storefront Accessibility Data Using Crowdsourcing, Journal on Technology and Persons with Disabilities, v. 10, 2022, Project website
  7. G. Olmschenk, X. Wang, H. Tang and Z. Zhu, Impact of Labeling Schemes on Dense Crowd Counting Using Convolutional Neural Networks with Multiscale Upsampling. International Journal of Pattern Recognition and Artificial Intelligence, Special Issue for VISAPP, Vol. 35, No. 13 October 2021
  8. Zhigang Zhu, Jin Chen, Lei Zhang, Yaohua, Chang, Tyler Franklin, Hao Tang, Arber Ruci, iASSIST: “An iPhone-Based Multimedia Information System for Indoor Assistive Navigation”, accepted by International Journal of Multimedia Data Engineering and Management, 2020.
  9. Greg Olmschenk, Hao Tang, and Zhigang Zhu, “Generalizing semi-supervised generative adversarial networks to regression using feature contrasting”, Computer Vision and Image Understanding, V. 186, September, 2019
  10. Hu Feng, Zhigang Zhu, Juery Mejia, Hao Tang and Jianting Zhang, “Real-time indoor assistive localization with mobile omnidirectional vision and cloud GPU acceleration”, ASM EE Journal, V1 (1), Dec. 2017
  11. Hao Tang, Tayo Amuneke, Juan Lantigua, Huang Zou, William Seiple and Zhigang Zhu. “Indoor Map Learning for the Visually Impaired”, Journal on Technology and Persons with Disabilities, Journal on Technology and Persons with Disabilities, V5. June 2017.
  12. Hao Tang, Norbu Tsering, Feng Hu, and Zhigang Zhu. “Automatic Pre-Journey Indoor Map Generation Using AutoCAD Floor Plan”, Journal on Technology and Persons with Disabilities, Journal on Technology and Persons with Disabilities, V4. Oct. 2016
  13. Hu Feng, Norbu Tsering, Hao Tang, and Zhigang Zhu. “Indoor Localization for the Visually Impaired Using a 3D Sensor”. Journal on Technology and Persons with Disabilities, V4. Oct. 2016
  14. Maggie Vincent, Hao Tang, Wai Khoo, Zhigang Zhu and Tony Ro, “Shape Discrimination using the Tongue: Feasibility of a Visual to Tongue Stimulation Substitution Device”, Journal of Multisensory Research, 2016 29, 773-798.
  15. Hao Tang, and Zhigang Zhu, “Content-Based 3D Mosaics for Representing Videos of Dynamic Urban Scenes”, IEEE Transactions on Circuits and Systems for Video Technology, 22(2), 2012, 295-308

Peer-Reviewed Conference Papers (2012-present):

  1. Jiawei Liu, Wayne Lam, Zhigang Zhu, Hao Tang. SMDAF: A Scalable Sidewalk Material Data Acquisition Framework with Bidirectional Cross-Modal Knowledge Distillation, accepted by IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2025
  2. Jiawei Liu, Wayne Lam, Zhigang Zhu, Hao Tang. Surveying Sidewalk Materials for and by Individuals Who Are Blind or Have Low Vision: Audio Data Collection and Classification. International Conference on SMART MULTIMEDIA, March 27-29, 2024 (Late Breaking Paper).
  3. Xuan Wang, Hao Tang & Zhigang Zhu, A General Context Learning and Reasoning Framework for Object Detection in Urban Scenes. VISAPP 2023, the 18th International Conference on Computer Vision Theory and Applications, Feb 19-21, 2023 full oral paper). [DOI]
  4. Xuan Wang, Jiajun Chen, Hao Tang and Zhigang. Zhu. MultiCLU: Multi-stage Context Learning and Utilization for Storefront Accessibility Detection and Evaluation. ACM International Conference on Multimedia Retrieval, Newark, NJ, USA, June 27-30, 2022. Pages 304–312.
  5. Lei Zhang, Kelvin Wu, Bin Yang, Hao Tang, and Zhigang Zhu. “Exploring Virtual Environments by Visually Impaired Using a Mixed Reality Cane Without Visual Feedback”, ISMAR 2020 – International Symposium on Mixed and Augmented Reality, November 9-13, 2020. Video Demo 
  6. Yaohua Chang, Jin Chen, Tyler Franklin, Lei Zhang, Arber Ruci, Hao Tang and Zhigang Zhu. “Multimodal Information Integration for Indoor Navigation Using a Smartphone”. IRI2020 -The 21st IEEE International Conference on Information Reuse and Integration for Data Science, August 11-13, 2020 (Full Regular Paper for Oral Presentation, 28% acceptance rate)
  7. Zhigang Zhu, Jie Gong, Cecilia Feeley, Huy Vo, Hao Tang, Arber Ruci, William Seiple and Zhengyi Wu. “SAT-Hub: Smart and Accessible Transportation Hub for Assistive Navigation and Facility Management”. Harvard CRCS Workshop on AI for Social Good, July 20-21, 2020
  8. Greg Olmschenk, Hao Tang, and Zhigang Zhu. “Improving Dense Crowd Counting Convolutional Neural Networks using Inverse k-Nearest Neighbor Maps and Multiscale Upsampling”. VISAPP 2020, the 15th International Conference on Computer Vision Theory and Applications.
  9. Hao Tang, Xuan Wang, Greg Olmschenk. Cecilia Feeley, Zhigang Zhu. “Assistive Navigation and Interaction with Mobile & VR Apps for People with ASD”. The 35th CSUN Assistive Technology Conference, March 9-13, 2020.
  10. Huang Zou, Hao Tang, “Remote Collaboration in a Complex Environment”, Proceedings of the International Conference on Artificial Intelligence and Computer Vision, March 2020
  11. Jeremy Venerella, Lakpa Sherpa, Tyler Franklin, Hao Tang, Zhigang. Zhu. “Integrating AR and VR for Mobile Remote Collaboration”, In: Proceedings of the International Symposium on Mixed and Augmented Reality, Oct 2019. Video Demo
  12. Greg Olmschenk, Hao Tang, Jin Chen and Zhigang Zhu, “Dense Crowd Counting Convolutional Neural Networks with Minimal Data using Semi-Supervised Dual-Goal Generative Adversarial Networks”, CVPR Workshop on Weakly Supervised Learning for Real-World Computer Vision Applications, Long Beach, CA, 2019.
  13. Jeremy Venerella, Lakpa Sherpa, Hao Tang, Zhigang Zhu, “A Lightweight Mobile Remote Collaboration Using Mixed Reality”, CVPR Workshop on Computer Vision for Augmented and Virtual Reality, Long Beach, CA, 2019.
  14. Greg Olmschenk, Hao Tang, and Zhigang Zhu, “Crowd Counting with Minimal Data Using Generative Adversarial Networks for Multiple Target Regression”, 2018 IEEE Winter Conference on Applications of Computer Vision (WACV), 1151-1159, Lake Tahoe, NV, 2018
  15. Jie Gong, Cecilia Feeley, Hao Tang, Greg Olmschenk, Vishnu Nair, Zhixiang Zhou, Yi Yu, Ken Yamamoto and Zhigang Zhu. “Building Smart Transportation Hubs with Internet of Things to Improve Services to People with Special Needs”, Transportation Research Board (TRB) 96th Annual Meeting, January 8-12, 2017
  16. Greg Olmschenk, Hao Tang, and Zhigang Zhu, “Pitch and Roll Camera Orientation from a Single 2D Image Using Convolutional Neural Networks”. Proceedings of the 14th Conference on Computer and Robot Vision, Edmonton, Alberta, May 17-19, 2017
  17. Feng Hu, Norbu Tsering and Hao Tang, Zhigang Zhu, “RGB-D Sensor Based Indoor Localization for the Visually Impaired”, 31th Annual International Technology and Persons with Disabilities Conference, March 21-26, 2016
  18. Hao Tang, Norbu Tsering and Feng Hu, “Automatic Pre-Journey Indoor Map Generation Using AutoCAD Floor Plan”, 31th Annual International Technology and Persons with Disabilities Conference, March 21-26, 2016
  19. Zhigang Zhu, Wai L. Khoo, Camille Santistevan, Yuying Gosser, Edgardo Molina, Hao Tang, Tony Ro and Yingli Tian, “EFRI-REM at CCNY: Research Experience and Mentoring for Underrepresented Groups in Cross-disciplinary Research on Assistive Technology”. The 6th IEEE Integrated STEM Education Conference (ISEC), March 6, 2016, Princeton, New Jersey (one of the 5 H. Robert Schroeder Best Paper Award Nominees among 50 oral papers).
  20. Hao Tang, Tony Ro, Zhigang Zhu. “Smart Sampling and Transducing 3D Scenes for the Visually Impaired”. IEEE International conference on Multimedia and Expo (ICME), 2013 (oral). The paper is selected in the best paper award Nominee (rate: 2.4%).
  21. Hao Tang, Maggie Vincent, Tony Ro, Zhigang Zhu. “From RGB-D to Low-Resolution Tactile: Smart Sampling and Early Testing”. IEEE Workshop on Multimodal and Alternative Perception for Visually Impaired People, ICME 2013