Projects per year
Personal profile
About me
I am a Professor of Visual Computing at the Upper Austrian University of Applied Sciences, Campus Hagenberg.
Until 2021, I was a post-doctoral researcher at the Institue of Computer Graphics at the Johannes Kepler University Linz. In 2018, I finished my Ph.D. degree at the Johannes Kepler University Linz. I joined the Rendering group at the Vienna University of Technology in 2012. In 2011, I graduated from the master's program Interactive Media at the University of Applied Sciences in Hagenberg.
My research interests include computer vision, computer graphics, and machine learning. I am particularly interested in optimal sampling strategies and novel algorithms for multi-view data such as light fields.
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Dive into the research topics where David Christian Schedl is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
- 1 Similar Profiles
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MultiLayerFakeDetect - Multilayer multimodal analysis for reliable detection of AI-generated and manipulated content across documents, images, audio, and video
Schedl, D. C. (PI) & Nitu, J. E. (CoI)
FFG General Programme Einzelprojekt
01.04.2026 → 30.06.2027
Project: Research Project
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AI Fotostudie FFG - AI Fotostudio
Schedl, D. C. (PI), Stöckl, A. (CoI), Serban, R. M. (CoI), Alker, M. (CoI) & Saurer, S. B. (CoI)
FFG General Programme Collective Research
01.06.2025 → 31.07.2026
Project: Research Project
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Evaluation of Novel View Synthesis in the Context of Radiometric Drone Imagery
Praschl, C., Schoibesberger, S. & Schedl, D. C., Mar 2026, Proceedings of the 21st International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications.Research output: Chapter in Book/Report/Conference proceedings › Conference contribution › peer-review
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Synthetic UAV Imagery for Ecological Monitoring Using Generative Artificial Intelligence
Praschl, C., Karbasch, M. & Schedl, D. C., Feb 2026, EUROCAST 2026 Computer Aided Systems Theory EXTENDED ABSTRACTS.Research output: Chapter in Book/Report/Conference proceedings › Conference contribution › peer-review
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Advancing Wildlife Monitoring: Drone-Based Sampling for Roe Deer Density Estimation
Wohlfahrt, S., Praschl, C., Leitner, H., Jantsch, W., Konic, J., Schueler, S., Stöckl, A. & Schedl, D. C., 5 Aug 2025.Research output: Working paper › Preprint
File26 Downloads (Pure) -
Detection and Measurement of Hailstones with Multimodal Large Language Models
Alker, M., Schedl, D. C. & Stöckl, A., 7 Dec 2025.Research output: Contribution to conference › Paper › peer-review
File2 Downloads (Pure) -
Modeling Wildlife Accident Risk with Gaussian Mixture Models
Praschl, C., Schedl, D. C. & Stöckl, A., 25 Apr 2025, Computer Aided Systems Theory – EUROCAST 2024 - 19th International Conference, 2024, Revised Selected Papers. Quesada-Arencibia, A., Affenzeller, M. & Moreno-Díaz, R. (eds.). Vol. 15173. p. 43-53 11 p. (Lecture Notes in Computer Science; vol. 15173 LNCS).Research output: Chapter in Book/Report/Conference proceedings › Conference contribution › peer-review
Activities
- 2 Participating in a conference, workshop, ...
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EU Safety 2023
Praschl, C. (Participant), Schedl, D. C. (Participant) & Stöckl, A. (Participant)
5 Oct 2023 → 6 Oct 2023Activity: Participating in or organising an event › Participating in a conference, workshop, ...
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Camera traps, AI, and Ecology
Praschl, C. (Participant) & Schedl, D. C. (Participant)
7 Sept 2023 → 8 Sept 2023Activity: Participating in or organising an event › Participating in a conference, workshop, ...