Staff

Tingyu Lin

My name is Tingyu LIN, and I am 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 … Continue reading Tingyu Lin

Raquel Panadero Palenzuela

My name is Raquel Panadero Palenzuela, I am a research assistant at the Computer Vision Lab (CVL), Institute of Visual Computing & Human-Centered Technology, TU Wien, Austria. I hold a BSc degree in Telecommunications Technologies and Services Engineering (2023) from the Polytechnic University of Catalonia, Spain. Before joining CVL, I worked as a research trainee in … Continue reading Raquel Panadero Palenzuela

Rafael Sterzinger

Rafael Sterzinger is a project assistant at the Computer Vision Lab, Institute of Visual Computing & Human-Centered Technology, TU Wien, Austria. Education 2020 – 2023 MSc. ETH Zürich, Machine Intelligence. Thesis title: Learning to Predict Security Constraints for Large-Scale Unit Commitment Problems. Thesis advisor:  Andreas Krause 2017 – 2020 BSc. TU Wien, Business Informatics.

Thummanoon Kunanuntakij

I am Thummanoon Kunanuntakij, or you can call me simply with my initials as “TK.” I graduated with a bachelor’s degree in computer engineering from Kasetsart University in Thailand. And I worked as a backend software engineer at a financial technology startup in Bangkok for several years. During my professional year, I experienced working on … Continue reading Thummanoon Kunanuntakij

Lukas Brunner

Lukas Brunner is finishing his Master in Visual Computing. After his Bachelor in Media Technology and Design he spent three years as a software developer in the games industry. Eventually confronted with recent academic literature as the foundation for new practical solutions he returned to pursue further academic formation. His interests evolved throughout the studies … Continue reading Lukas Brunner

HISTORIAN: a large-scale HISTORIcal film dataset with cinematographic ANnotation

Description Developing automated tools for sustainable film preservation of extensive historical film collections assumes an understanding of fundamental cinematographic settings. In order to be able to investigate new approaches to detect and classify cinematographic settings, this paper proposes a novel large-scale historical film dataset with cinematographic annotations (HISTORIAN), i.e., shot boundaries, shot types, camera movements. … Continue reading HISTORIAN: a large-scale HISTORIcal film dataset with cinematographic ANnotation