Tingyu LIN

Tingyu LIN

Predoctoral Researcher@TUW, BEng@SYSU, MSc@CityU

Tingyu LIN

Predoctoral Researcher
Computer Vision Lab,
Institute of Visual Computing & Human Centered Technology,
TU Wien

Vienna, Austria

Bio

My name is Tingyu LIN, my name in Chinese is 林莛庾, you can call me “Timmy”.

I obtained the M.S. degree with distinction in multimedia information technology from Department of Electrical Engineering, City University of Hong Kong in 2020 and the B.Eng. degree in software engineering from School of Computer Science and Engineering, Sun Yat-sen University in 2019. I have worked as an Image Engineer at Camera R & D department, Autel Robotics, developing image algorithms for cameras and also designing a prototype multispectral imaging system for drones. After that, I have worked as a Deep Learning Algorithm Engineer at Research department, WOODMAN AI, a Shanghai-based startup, focusing on industrial defect detection and 3D imaging systems.

I am now as a predoctoral researcher at the Computer Vision Lab, Institute of Visual Computing & Human-Centered Technology, TU Wien, Austria. I am currently conducting research for the FWF doctoral program “Visual Analytics and Computer Vision Meet Cultural Heritage (VaCoViCu)” under the supervision of Prof. Robert Sablatnig. This project is a collaborative effort with Institute of Creative\Media/Technologies, FH ST. PÖLTEN, and I am also under the supervision of Prof. Wolfgang Aigner. My research primarily focuses on the automatic image analysis and visualization of historical photographs and amateur films with the goal of preserving our cultural heritage.

News

  • Feb 2024: Congratulations on the successful launch of “Visual Heritage” PhD program!

  • Nov 2023: I start my doctoral research at CVL, TU Wien.

  • Jul 2023: “HSGAN: Hyperspectral Reconstruction from RGB Images with Generative Adversarial Network” is accepted to IEEE TNNLS 2023

  • Oct 2021: I accepted an invitation to join WOODMAN AI, an industrial defect detection company based in Shanghai, as a deep learning algorithm engineer.

  • Nov 2020: “Legacy Photo Editing with Learned Noise Prior” is accepted to WACV 2021

  • Nov 2020: I moved to Shenzhen and started working as an image engineer at Autel Robotics. I was responsible for developing multispectral imaging systems and image algorithms for UAV use

  • Oct 2020: I received M.S. degree with distinction in the City University of Hong Kong, Thesis: Night Vision Enhancement through NIR Images with Deep Learning, surpervised by Prof. Lai-Man Po

  • May 2020: “HRNet (Hierarchical Regression Network for Spectral Reconstruction from RGB images)” wins the first prize of NTIRE 2020 challenge on hyperspectral reconstruction from a RGB image, and the paper is accepted to CVPR 2020 NTIRE workshop

  • Sep 2019: I started my M.S. study in the City University of Hong Kong