Yunhan Wang

I am pursuing my Master's degree in Machine Learning at the University of Tübingen, Germany. I obtained my Bachelor's degree in Computer Science with Honours & Cum Laude (highest distinction) from the Delft University of Technology, Netherlands.

I desire to glimpse new ways of seeing machine learning, especially its ability to explain the underlying mechanism of the world, and its human-centric applications.


Education
  • University of Tübingen
    University of Tübingen
    MSc in Machine Learning
    Apr. 2024 - present
  • Delft University of Technology
    Delft University of Technology
    BSc in Computer Science
    Sep. 2020 - Jul. 2023
Honors & Awards
  • Amazon Future Engineer Scholarship
    2024
  • Deutschlandstipendium
    2024
  • Cum Laude - TU Delft
    2023
  • Honours Graduate - TU Delft
    2023
News
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2025

I started my internship as an AI engineer at Mercura, working on AI Quote and Order Automation for Distributors & Manufacturers.

Oct 01

We release SMPLAug, a data augmentation library for robust human registration from 3D point clouds.

Apr 01
2024

I have been awarded the Amazon Future Engineer Scholarship & Deutschlandstipendium.

Apr 01
Selected Publications (view all )
Investigation of Architectures and Receptive Fields for Appearance-based Gaze Estimation
Investigation of Architectures and Receptive Fields for Appearance-based Gaze Estimation

Yunhan Wang, Xiangwei Shi, Shalini De Mello, Hyung Jin Chang, Xucong Zhang

arXiv 2023

Investigation of Architectures and Receptive Fields for Appearance-based Gaze Estimation

Yunhan Wang, Xiangwei Shi, Shalini De Mello, Hyung Jin Chang, Xucong Zhang

arXiv 2023

Benchmarking Data Efficiency and Computational Efficiency of Temporal Action Localization Models
Benchmarking Data Efficiency and Computational Efficiency of Temporal Action Localization Models

Jan Warchocki*, Teodor Oprescu*, Yunhan Wang*, Alexandru Damacus, Paul Misterka, Robert-Jan Bruintjes, Attila Lengyel, Ombretta Strafforello, Jan van Gemert (* equal contribution)

ICCV-W 2023

Benchmarking Data Efficiency and Computational Efficiency of Temporal Action Localization Models

Jan Warchocki*, Teodor Oprescu*, Yunhan Wang*, Alexandru Damacus, Paul Misterka, Robert-Jan Bruintjes, Attila Lengyel, Ombretta Strafforello, Jan van Gemert (* equal contribution)

ICCV-W 2023

All publications