Doctoral Student
Zhendong Li
Email: [email protected]
About me:
I will be starting my PhD at the Institute for Computer Science, Artificial Intelligence and Technology (INSAIT). I will be supervised by Prof. Luc Van Gool and Dr. Danda Paudel. I recently finished my MSc at Technical University of Munich (TUM) in Electrical and Computer Engineering. My current interest lies in leveraging LLMs as an interface to tackle concrete low-level vision problems. I hope to address practical challenges in this area and come up with more interesting ideas.
Education:
- TUM, October 2020 – December 2024, MSc. Electrical and Computer Engineering
Major: Multi modalities
Minor: Machine Intelligence, Teleoperation
- EPFL September 2021 – September 2022 Exchange Student Msc. Electrical and Computer Engineering
Machine Intelligence, Computer graphics
- TUM, October 2017 – August 2020, BSc. Electrical and Computer Engineering
Structured illumination
Publications:
- UniLoc: Towards Universal Place Recognition Using Any Single Modality arXiv, 2025
- A Learning-Based Shared Control Approach for Contact Tasks IEEE Robotics and Automation Letters (RA-L) , 2024
- Line-scan hyperspectral imaging microscopy with structured illumination SPIE Photonics West, 2020
- Judder Modelling Framework with Perceptual Quality Score Prediction for HDR Videos IEEE International Conference on Visual Communications and Image Processing (VCIP), 2024
- Subjective video quality assessment of immersive HDR content on head-mounted displays IEEE International Conference on Visual Communications and Image Processing (VCIP), 2023
- Line-scan hyperspectral imaging microscopy with linear unmixing for automated two-dimensional crystals identification ACS Photonics, 2020
Relevant Experience:
- Master Thesis, Computer Vision Group, TUM, October 2023 – December 2024
- Huawei Munich, Intern at audiovisual technology lab, April 2023 – October 2023
- Huawei Shenzhen, Intern at Huawei Cloud, October 2020 – May 2021
