Dr. Yongtao Hu
Previously, I was a Staff Researcher at Image & Visual Computing Lab (IVCL) of Lenovo (Hong Kong). Earlier, I also took internships at IVCL and Internet Graphics Group of Microsoft Research Asia (MSRA).
I received my Ph.D. degree of Computer Science from The University of Hong Kong in 2014, under the supervision of Prof. Wenping Wang. Before that, I received the B.S. degree of Computer Science from Shandong University in 2010.
My research interests include: Computer Vision & Learning (e.g., Image/Video Processing, Object Detection and Tracking, Deep Learning, etc.), Extended Reality (e.g., Mobile XR Input Solutions, Environmental Understanding, Sensor Fusion, etc.), Multimedia (e.g., Speaker Detection and Identification, Multimodal Analysis, TV/Movie Viewing Enhancement, etc.).
Job / Internship opening!
We are recruiting self-motivated interns and full-time researchers / engineers to work at X-Lab in computer vision, sensor fusion, optical and interaction techniques, etc., to enhance XR. If interested, please drop me an email with your CV.
News
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03/2025: Our paper on Efficient Line-Based Visual Marker System Design with Occlusion Resilience is accepted to Informatica.
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05/2022: Our paper on DeepTag: A General Framework for Fiducial Marker Design and Detection is accepted to IEEE TPAMI. Code and dataset are also available.
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11/2021: C++ library of TopoTag detector of our TVCG 2020 paper TopoTag: A Robust and Scalable Topological Fiducial Marker System has been made publicly online.
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06/2020: Full dataset of our TVCG 2020 paper TopoTag: A Robust and Scalable Topological Fiducial Marker System has been made publicly online.
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04/2020: Our paper on TopoTag: A Robust and Scalable Topological Fiducial Marker System is accepted to IEEE TVCG. Software and dataset are also available.
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