Jingrui Yu is a research associate at Technische Universität Chemnitz with 10 years of experience specializing in computer vision and deep learning for person detection, human pose estimation, and activity recognition using omnidirectional fisheye cameras. Currently pursuing a Doktor-Ingenieur, Jingrui also develops synthetic data pipelines with NeRF, Unity, and Blender to boost model robustness and bridge real-to-sim gaps. With a background in biomedical engineering from TU Dresden and early industry exposure at Fraunhofer IKTS, Jingrui blends applied research with practical system-building. Known for tackling camera-specific challenges and data-generation innovations, Jingrui brings a pragmatic, experiment-driven approach to advancing perception in complex visual domains.
10 years of coding experience
Doktor-Ingenieur, Computer Vision, Deep Learning, Objekt detektion, Pose estimation, Human activity recognition, Doktor-Ingenieur, Computer Vision, Deep Learning, Objekt detektion, Pose estimation, Human activity recognition at Technische Universität Chemnitz
Diplom-Ingenieur (Dip.-Ing.)/ Master of Science (MSc), Biomedical/Medical Engineering, 2.1 (Gut), Diplom-Ingenieur (Dip.-Ing.)/ Master of Science (MSc), Biomedical/Medical Engineering, 2.1 (Gut) at Technische Universität Dresden
Deutsch Kurs, Deutsch Kurs at TUDIAS Sprachinstitut
Bachelor, ENGINEERING, Bachelor, ENGINEERING at Zhejiang University
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