Yunhan Wang
Portrait

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.

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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

[Paper] [Code]

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

[Paper] [Code]

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

[Paper]

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

[Paper]

All publications