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ORCIDHao Tang 0011
Person information
- affiliation: City University of New York, CUNY, City College, Department of Computer Science, Borough of Manhattan Community College, NY, USA
Other persons with the same name
- Hao Tang — disambiguation page
- Hao Tang 0001 — Hewlett-Packard Labs., Multimedia Interaction & Understanding Laboratory, Palo Alto, CA, USA (and 3 more)
- Hao Tang 0002
![[0000-0002-2445-2605]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0000-0002-2445-2605")
— Massachusetts Institute of Technology, Computer Science and Artificial Intelligence Laboratory, Cambridge, MA, USA (and 2 more) - Hao Tang 0003 — Tsinghua University, Department of Philosophy, Beijing, China (and 4 more)
- Hao Tang 0004 — Hainan University, School of Information and Communication Engineering, Haikou, China (and 1 more)
- Hao Tang 0005 — ETH Zurich, Switzerland (and 2 more)
- Hao Tang 0006 — Central South University, Second Xiangya Hospital, Changsha, China
- Hao Tang 0007 — Nanjing University of Science and Technology, China
- Hao Tang 0008 — Cornell University, Ithaca, NY, USA (and 3 more)
- Hao Tang 0009 — Hefei University of Technology, School of Electrical Engineering and Automation, China
- Hao Tang 0010 — University of California, Irvine, Department of Computer Science, CA, USA
- Hao Tang 0012 — Wuhan University, Key Laboratory of Aerospace Information Security and Trusted Computing, Ministry of Education, School of Cyber Science and Engineering, China
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2020 – today
- 2024
[j5]Jiahao Xia, Gavin Gong, Jiawei Liu, Zhigang Zhu, Hao Tang:
Pedestrian-Accessible Infrastructure Inventory: Enabling and Assessing Zero-Shot Segmentation on Multi-Mode Geospatial Data for All Pedestrian Types. J. Imaging 10(3): 52 (2024)- 2023
- [c23]Richard Yeung, Oyewole Oyekoya, Hao Tang:
In-Place Virtual Exploration Using a Virtual Cane: An Initial Study. ISS Companion 2023: 45-49 - [c22]Xuan Wang, Hao Tang, Zhigang Zhu:
A General Context Learning and Reasoning Framework for Object Detection in Urban Scenes. VISIGRAPP (5: VISAPP) 2023: 91-102 - 2022
- [c21]Xuan Wang, Jiajun Chen, Hao Tang, Zhigang Zhu:
MultiCLU: Multi-stage Context Learning and Utilization for Storefront Accessibility Detection and Evaluation. ICMR 2022: 304-312 - [c20]Zhenchao Xia, Oyewole Oyekoya, Hao Tang:
Effective Gesture-Based User Interfaces on Mobile Mixed Reality. SUI 2022: 27:1-27:2 - 2021
- [j4]Greg Olmschenk, Xuan Wang, Hao Tang, Zhigang Zhu:
Impact of Labeling Schemes on Dense Crowd Counting Using Convolutional Neural Networks with Multiscale Upsampling. Int. J. Pattern Recognit. Artif. Intell. 35(16): 2160012:1-2160012:31 (2021) - 2020
- [j3]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. Int. J. Multim. Data Eng. Manag. 11(4): 38-59 (2020) - [c19]Yaohua Chang, Jin Chen, Tyler Franklin, Lei Zhang, Arber Ruci, Hao Tang, Zhigang Zhu:
Multimodal Information Integration for Indoor Navigation Using a Smartphone. IRI 2020: 59-66 - [c18]Lei Zhang, Klevin Wu, Bin Yang, Hao Tang, Zhigang Zhu:
Exploring Virtual Environments by Visually Impaired Using a Mixed Reality Cane Without Visual Feedback. ISMAR Adjunct 2020: 51-56 - [c17]Greg Olmschenk, Hao Tang, Zhigang Zhu:
Improving Dense Crowd Counting Convolutional Neural Networks using Inverse k-Nearest Neighbor Maps and Multiscale Upsampling. VISIGRAPP (5: VISAPP) 2020: 185-195
2010 – 2019
- 2019
- [j2]Greg Olmschenk, Zhigang Zhu, Hao Tang:
Generalizing semi-supervised generative adversarial networks to regression using feature contrasting. Comput. Vis. Image Underst. 186: 1-12 (2019) - [c16]Greg Olmschenk, Jin Chen, Hao Tang, Zhigang Zhu:
Dense Crowd Counting Convolutional Neural Networks with Minimal Data using Semi-Supervised Dual-Goal Generative Adversarial Networks. CVPR Workshops 2019 - [c15]Jeremy Venerella, Tyler Franklin, Lakpa Sherpa, Hao Tang, Zhigang Zhu:
Integrating AR and VR for Mobile Remote Collaboration. ISMAR Adjunct 2019: 104-108 - [i2]Greg Olmschenk, Hao Tang, Zhigang Zhu:
Improving Dense Crowd Counting Convolutional Neural Networks using Inverse k-Nearest Neighbor Maps and Multiscale Upsampling. CoRR abs/1902.05379 (2019) - 2018
- [c14]Greg Olmschenk, Hao Tang, Zhigang Zhu:
Crowd Counting with Minimal Data Using Generative Adversarial Networks for Multiple Target Regression. WACV 2018: 1151-1159 - [i1]Greg Olmschenk, Zhigang Zhu, Hao Tang:
Generalizing semi-supervised generative adversarial networks to regression. CoRR abs/1811.11269 (2018) - 2017
- [c13]Greg Olmschenk, Hao Tang, Zhigang Zhu:
Pitch and Roll Camera Orientation from a Single 2D Image Using Convolutional Neural Networks. CRV 2017: 261-268 - 2013
- [c12]Hao Tang, Tony Ro, Zhigang Zhu:
Smart sampling and transducing 3D scenes for the visually impaired. ICME Workshops 2013: 1-4 - [c11]Hao Tang, Margaret Vincent, Tony Ro, Zhigang Zhu:
From RGB-D to low-resolution tactile: Smart sampling and early testing. ICME Workshops 2013: 1-6 - 2012
- [j1]Hao Tang, Zhigang Zhu:
Content-Based 3-D Mosaics for Representing Videos of Dynamic Urban Scenes. IEEE Trans. Circuits Syst. Video Technol. 22(2): 295-308 (2012) - [c10]Hao Tang, Zhigang Zhu:
A Segmentation-Based Stereovision Approach for Assisting Visually Impaired People. ICCHP (2) 2012: 581-587
2000 – 2009
- 2009
- [c9]Hao Tang, Zhigang Zhu, Jizhong Xiao:
Stereovision-based 3D planar surface estimation for wall-climbing robots. IROS 2009: 97-102 - 2008
- [c8]Hao Tang, Zhigang Zhu:
Exploiting local and global scene constraints in modeling large-scale dynamic 3D scenes from aerial video. CVPR Workshops 2008: 1-8 - 2006
- [c7]Hao Tang, Zhigang Zhu, George Wolberg:
Dynamic 3D Urban Scene Modeling Using Multiple Pushbroom Mosaics. 3DPVT 2006: 456-463 - [c6]Weihong Li, Hao Tang, Zhigang Zhu:
Vision-Based Projection-Handwriting Integration in Classroom. CVPR Workshops 2006: 9 - [c5]Zhigang Zhu, Hao Tang:
Content-Based Dynamic 3D Mosaics. CVPR Workshops 2006: 169 - [c4]Weihong Li, Hao Tang, Chad McKittrick, Zhigang Zhu:
Classroom Multimedia Integration for Advanced E-Presentations. ICME 2006: 1297-1300 - 2005
- [c3]Zhigang Zhu, Hao Tang, George Wolberg, Jeffery R. Layne:
Content-Based 3D Mosaic Representation for Video of Dynamic 3D Scenes. AIPR 2005: 198-203 - [c2]Zhigang Zhu, Hao Tang, Bing Shen, George Wolberg:
3D and Moving Target Extraction from Dynamic Pushbroom Stereo Mosaics. CVPR Workshops 2005: 125 - 2004
- [c1]Weihong Li, Hao Tang, Zhigang Zhu:
Automated Registration of High Resolution Images from Slide Presentation and Whiteboard Handwriting via a Video Camera. CVPR Workshops 2004: 168
Coauthor Index
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