Feng Hu, Ph.D.
Dr. Feng Hu is now a senior Computer Vision Engineer in NVIDIA building Autonomous Vehicle Technology.
His research interests included computer vision, machine learning, argumented/mixed reality, self-driving vehicles, image/video/point-cloud processing, 2D/3D based indoor localization, assistive technology, and video surveillance.
He obtained his PhD degree majoring in Computer Science at The Graduate Center, CUNY supervised by the Herbert G. Kayser Professor Zhigang Zhu. His PhD research focused on vision-based indoor localization for the visually impaired using 2D images (iPhone + GoPano lens; Google Glass) and 3D depth information (Google Project Tango tablet) under the support of National Science Foundation (NSF) Emerging Frontiers in Research and Innovation program.
He obtained his Bachelor degree majoring in Automation (Automatic Control) from Xi'an Jiaotong University (one of the oldest universities in China's C9 Ivy League ) in 2009. He obtained his Master degree majoring in Pattern Recognition and Intelligent Systems from University of Chinese Academy of Sciences (host institute: Institute of Automation) in 2012.
News
Our paper "'Seeing' the Invisible: Under Vehicle Reconstruction (UVR) for Surround
View Visualization" received the Best Paper award in International Symposium on Connected and Autonomous
Vehicles (SoCAV22)! [pdf]
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Our paper "Robust Seatbelt Detection and Usage Recognition for Driver Monitoring Systems" is
accepted by 36th AAAI Conference on Artificial Intelligence workshop Trustworthy Autonomous Systems Engineering (AAAI22)! [pdf]
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Our paper based on IBM and VW Connected Vehicle project work "A Crowdsource-Based Sensing System
for Monitoring Fine-grained Air Quality in Urban Environments" is accepted by IEEE Internet of Things Journal! [pdf]
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Our Smart311 Team (with Dr. Michael Iannelli and Dr. Arun Adiththan) is the Second Place Winner in the CUNY-IBM Watson Case Competition (with $3000 Cash
Award!), among original around 50 teams after 3 rounds of competition! (50 teams -> 28 teams -> 11 finalists
-> 2nd place). Special thanks to our excellent mentor Prof. Don
Waisanen! (See our 1 minute video and certificate of recognition).
- Our new book chapter "Computer Vision for Sight: Computer Vision Techniques to Assist Visually Impaired People to Navigate in an Indoor Environment" in Computer Vision for Assistive Healthcare (the Computer Vision and Pattern Recognition Series, Elsevier) is published! [pdf]
- Successfully defended! A copy of the dissertation can be found here.
- My internship research work at IBM Reseach Lab get awarded!
