Publications
Patents
Feng Hu, Niranjan Avadhanam, Yuzhuo Ren, Sujay Yadawadkar, Sakthivel Sivaraman, Hairong Jiang, Siyue Wu, "Gaze Detection using One or More Neural Networks", United States Patent 11144754 , October 2021 [pdf]
Niranjan Avahadnam, Feng Hu, Yu Shuping, et al, "Surround View Optimization for Autonomous Systems and Applications", United States Patent 63/326,724 , April 2022
Feng Hu, "Restraint Device Localization", United States Patent 17/137,256 , December 2020 [pdf]
Feng Hu, Niranjan Avadhanam, "Machine Learning-based Seatbelt Detection and Usage Recognition Using Fiducial Marking", United States Patent 16/905,418 , June 2020 [pdf]
Feng Hu, Niranjan Avadhanam, Ratin Kumar, Simon John Baker, "Automatically-adjusting Mirror for Use in Vehicles", United States Patent 16/773,883 , January 2020 [pdf]
Feng Hu, Yuzhuo Ren, Niranjan Avahadnam, Ankit Pashiney, "System and Method for Optimal Camera Calibration", United States Patent 16/653,959 , October 2019 [pdf]
Anshul Jain, Ratin Kumar, Feng Hu, Niranjan Avadhanam, Atousa Torabi, Hairong Jiang, Ram Ganapathi, Taek Kim, "Managing Glare in Image Detection using Artificial Intelligence", United States Patent 16/363,648 , March 2019
Ratin Kumar, Feng Hu, Niranjan Avadhanam, Atousa Torabi, Hairong Jiang, "System and Method for Gaze, Body, and Gesture Recognition in Advanced AI-assisted Vehicles", United States Patent 62/742,923 , October 2018
Ratin Kumar, Prajakta Gudadhe, Anshul Jain, Mark Fertelmeister, Simon Baker, Mark Costin, Zoran Nikolic, Ram Ganapathi, Wenjia Zhou, Rajath Shetty, Feng Hu, Niranjan Avadhanam, "System and Method for Advanced AI-assisted vehicles", United States Patent 62/742,923 , March 2018
胡锋, 阿瓦达汗纳姆·N, 任育卓, 雅达瓦德卡·S, 西瓦拉曼·S, 江海荣, 吴斯玥, "使用一个或更多个神经网络进行视线检测", China Patent 202010089073.8 , February 2021 [pdf]
胡锋, 阿瓦达汗纳姆·N, 库马尔·R, 贝克·S·J, "自动调节用于车辆中使用的后视镜", China Patent 202180004465.2 , June 2022 [pdf]
胡锋, 阿瓦达汗纳姆·N, "使用基准标记的基于机器学习的安全带检测和使用识别", China Patent 202110678300.5 , December 2021 [pdf]
胡锋, "约束设备定位", China Patent 202111628623.X , July 2022 [pdf]
Book Chapter
Feng Hu, Hao Tang, Aleksandr Tsema, Zhigang Zhu, "Computer Vision for Sight: Computer Vision Techniques to Assist Visually Impaired People to Navigate in an Indoor Environment", Book Chapter in Computer Vision for Assistive Healthcare, Eds. Marco Leo and Giovanni Maria Farinella, the Computer Vision and Pattern Recognition Series, Elsevier, 2018 [pdf] [cite]
Journals and Conferences
Feng Hu, Shuping Yu, Wenjia Zhou, "‘Seeing’ the Invisible: Under Vehicle Reconstruction (UVR) for Surround View Visualization", Journal of Physics: Conference Series, Vol. 2330. No. 1, 2022 [pdf][cite]
Feng Hu, "Robust Seatbelt Detection and Usage Recognition for Driver Monitoring Systems", Thirty-Sixth AAAI Conference on Artificial Intelligence (AAAI22) workshop "Trustworthy Autonomous Systems Engineering (TRASE-22), February, 2022 [pdf] [cite]
Feng Hu, "Non-intrusive Automatic 3D Gaze Ground-truth System", 2022 5th International Conference on Artificial Intelligence and Pattern Recognition, Xiamen, China, September 2022 [pdf]
Yuzhuo Ren, Feng Hu, "Camera Calibration with Pose Guidance", 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Toronto, ON, Canada, June 2021 [pdf] [cite]
Feng Hu, "Vision-based Assistive Indoor Localization", PhD dissertation, The Graduate Center, CUNY, Feburary 2018 [pdf] [cite]
Jingchang Huang, Ning Duan, Peng Ji, Chunyang Ma, Feng Hu, Yuanyuan Ding, Yipeng Yu, Qianwei Zhou, Wei Sun, "A Crowdsource-based Sensing System for Monitoring Fine-grained Air Quality in Urban Environments", IEEE Internet of Things Journal, November, 2018 [pdf] [cite]
Chunyang Ma, Ning Duan, Wei Sun, Feng Hu, Jingchang Huang, Peng Ji, Renjie Yao, "Reducing Air Pollution Exposure in A Road Trip". 24rd World Congress on Intelligent Transportation Systems, Montreal, Canada, October, 2017 [pdf] [cite]
Feng Hu, Ning Duan, Jingchang Huang, Wei Sun, Zhigang Zhu, "Mining Personalized Climate Preferences for Assistant Driving", arXiv:2006.08846 [cs], June, 2020 [pdf][cite]
Feng Hu, Zhigang Zhu, Jianting Zhang, "GPU-accelerated Hierarchical Panoramic Image Feature Retrieval for Indoor Localization", arXiv:2006.08861 [cs], June, 2020 [pdf][cite]
Feng Hu, Zhigang Zhu, Jeury Mejia, Hao Tang, Jianting Zhang, “Real-time indoor assistive localization with mobile omnidirectional vision and cloud GPU acceleration”, AIMS Electronics and Electrical Engineering, Nov, 2017 [pdf] [cite]
Wei Sun, Ning Duan, Peng Ji, Renjie Yao, Chunyang Ma, Jinchang Huang, Feng Hu, "Intelligent In-Vehicle Air Quality Management: A Smart Mobility Application Dealing With Air Pollution In The Traffic". 23rd World Congress on Intelligent Transportation Systems, Melbourne, Australia, October, 2016 [pdf] [cite]
Hao Tang, Norbu Tsering, Feng Hu, "Automatic Pre-Journey Indoor Map Generation Using AutoCAD Floor Plan", Journal on Technology & Persons with Disabilities, Vol.4, page 192-203, 2016 [pdf][cite]
Feng Hu, Norbu Tsering, Hao Tang, Zhigang Zhu, "Indoor Localization for the Visually Impaired Using a 3D Sensor",Journal on Technology & Persons with Disabilities, Vol.4, page 176-191, 2016 [pdf][cite]
Hao Tang, Norbu Tsering, Feng Hu, "Automatic Pre-Journey Indoor Map Generation Using AutoCAD Floor Plan", 31st Annual International Technology and Persons with Disabilities Conference, San Diego, CA, March, 2016
Feng Hu, Norbu Tsering, Hao Tang, Zhigang Zhu, "RGB-D Sensor Based Indoor Localization for the Visually Impaired", 31st Annual International Technology and Persons with Disabilities Conference, San Diego, CA, March, 2016
Feng Hu, Zhigang Zhu, Jianting Zhang, “Mobile Panoramic Vision for Assisting Blind via Indexing and Localization”, 2014 European Conference on Computer Vision (ECCV'14) Workshops, Zurich, September, 2014 [pdf][cite]
Tuotuo Li, Feng Hu, Zheng Geng, "Structured-light 3D Surface Imaging Technology". Journal of Network New Media, Vol.1, No.1, January 2012 [pdf]
Feng Hu, Tuotuo Li, Jason Geng, “Constraints-Based Graph Embedding Optimal Surveillance-Video Mosaicing”, Asian Conference on Pattern Recognition (ACPR'11), Beijing, China, November, 2011 (Oral Presentation)[pdf][cite]
Tuotuo Li, Feng Hu, Jason Geng, “Geometric Calibration of a Camera-Projector 3D Imaging System”, The 10th International Conference on Virtual Reality Continuum and Its Applications in Industry, Hong Kong, China, December, 2011
Tuotuo Li, Feng Hu, Zheng Geng, "Real-Time Dense 3D Reconstruction with Active Vision System via Graphic Hardware Acceleration", International Conference on Opto-Electronics Engineering and Information Science (ICOEIS'2011), Xi'an, China, December, 2011
Posters and Demos
Feng Hu, Kenichi Yamamoto, Zhigang Zhu, "3D Assistive Indoor Localization with a Google Glass", CIE-USA/GNYC 2016 Annual Convention, New York, NY, October, 2016.
Jeury Mejia, Feng Hu, Hao Tang, Zhigang Zhu, "iPhone Indoor Navigation System for Visually Impaired People", 2016 Emerging Researchers National (ERN) Conference in STEM, Washington, D.C., Feburary, 2016
Norbu Tsering, Feng Hu, Hao Tang, "RGB-D Sensor Based Indoor Localization for Visually Impaired", 2016 Emerging Researchers National (ERN) Conference in STEM, Washington, D.C., Feb. 2016
Kenichi Yamamoto, Feng Hu, Zhigang Zhu, "Assistive 3D Indoor Localization With a Wearable Glass", 2016 Emerging Researchers National (ERN) Conference in STEM, Washington, D.C., Feburary, 2016
Jeury Mejia, Feng Hu, Hao Tang, Zhigang Zhu, "Assistive Indoor Navigation System for Visually Impaired People", 2015 Emerging Researchers National (ERN) Conference in STEM, Washington, D.C., Feburary 2015
Feng Hu, Jianting Zhang, Zhigang Zhu, “A Smartphone-based Navigation System for Visually-impaired People”, 7th Annual Graduate Student Symposium (GSS'14), City College of New York, NY, April, 2014 (Third Prize Winner)
Feng Hu, Zhigang Zhu, “Where am I? -Indoor Localization and Navigation for the Visually-Impaired People”, 2nd Annual Computer Science Student Workshop(CSSW'14), New York, March, 2014
Feng Hu, Zhigang Zhu, “Vertical Line Detection and Matching for an iPhone Navigation System with a Portable Omnidirectional Lens”, 3rd GNY Area Multimedia and Vision Meeting (GNYMV'13), New York, NY, June, 2013