Christian Stippel
Projektass. Dipl.-Ing. / BSc
Role
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PreDoc Researcher
Computer Vision, E193-01
Publications
- How Many Sensors are Necessary?—Sensor Reduction in HVAC Control Modeling Using Feature Attribution and Rule Extraction / Stieger, A., Stippel, C., Bratukhin, A., Hoch, R., & Sauter, T. (2025). How Many Sensors are Necessary?—Sensor Reduction in HVAC Control Modeling Using Feature Attribution and Rule Extraction. IEEE Sensors Letters, 9(10), Article 6010404. https://doi.org/10.1109/LSENS.2025.3602850
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A Robust and Efficient Framework for Inferring Mutual Gaze in Historical Video Data
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Lin, T., Stippel, C., Kleber, F., & Sablatnig, R. (2025, February 12). A Robust and Efficient Framework for Inferring Mutual Gaze in Historical Video Data [Conference Presentation]. 28th Computer Vision Winter Workshop, Graz, Austria.
Project: VaCoViCu2 (2023–2027) - A Deep Learning Approach for Event-Driven Duplicate Detection / Stippel, C., Pratellesi, C., Schwendinger, B., & Hoch, R. (2025). A Deep Learning Approach for Event-Driven Duplicate Detection. In Proceedings of The 8th International Conference on Information and Computer Technologies (pp. 151–156). https://doi.org/10.1109/ICICT64582.2025.00030
- Masked Scene Modeling: Narrowing the Gap Between Supervised and Self-Supervised Learning in 3D Scene Understanding / Hermosilla, P., Stippel, C., & Sick, L. (2025). Masked Scene Modeling: Narrowing the Gap Between Supervised and Self-Supervised Learning in 3D Scene Understanding. In Proceedings of the IEEE / CVF Computer Vision and Pattern Recognition Conference (CVPR) (pp. 14835–14844). https://doi.org/10.1109/CVPR52734.2025.01382
- Fusing Forces: Deep-Human-Guided Refinement of Segmentation Masks / Sterzinger, R., Stippel, C., & Sablatnig, R. (2025). Fusing Forces: Deep-Human-Guided Refinement of Segmentation Masks. In A. Antonacopoulos, S. Chaudhuri, R. Chellappa, Cl. Liu, S. Bhattacharya, & U. Pal (Eds.), Pattern Recognition (pp. 154–169). https://doi.org/10.1007/978-3-031-78198-8_11
- Energy Efficiency Optimization and Preventive Maintenance of HVAC Systems Using Machine Learning / Bratukhin, A., Stippel, C., Sengl, D., Kobelrausch, M. D., & Sauter, T. (2024). Energy Efficiency Optimization and Preventive Maintenance of HVAC Systems Using Machine Learning. In IEEE Xplore (Ed.), 2024 IEEE 29th International Conference on Emerging Technologies and Factory Automation (ETFA). https://doi.org/10.1109/ETFA61755.2024.10710735
- Online HVAC Optimization under Comfort Constraints via Reinforcement Learning / Stippel, C., Sterzinger, R., Sengl, D., Bratukhin, A., Kobelrausch, M. D., Wilker, S., & Sauter, T. (2024). Online HVAC Optimization under Comfort Constraints via Reinforcement Learning. In IEEE Xplore (Ed.), 2024 IEEE 7th International Conference on Industrial Cyber-Physical Systems (ICPS). IEEE. https://doi.org/10.1109/ICPS59941.2024.10640003
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A Trimodal Dataset: RGB, Thermal, and Depth for Human Segmentation and Action Recognition
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Stippel, C., Heitzinger, T., & Kampel, M. (2024). A Trimodal Dataset: RGB, Thermal, and Depth for Human Segmentation and Action Recognition. In Pattern Recognition: 45th DAGM German Conference, DAGM GCPR 2023, Heidelberg, Germany, September 19--22, 2023, Proceedings (pp. 18–33). https://doi.org/10.1007/978-3-031-54605-1_2
Project: KIIS (2021–2023) -
Multimodal machine learning to alleviate data scarcity : trimodal datast generation
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Stippel, C. (2024). Multimodal machine learning to alleviate data scarcity : trimodal datast generation [Diploma Thesis, Technische Universität Wien]. reposiTUm. https://doi.org/10.34726/hss.2024.113540
Download: PDF (3.13 MB) -
Through-Wall Imaging Based On WiFi Channel State Information
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Strohmayer, J., Sterzinger, R., Stippel, C., & Kampel, M. (2024). Through-Wall Imaging Based On WiFi Channel State Information. In 2024 IEEE International Conference on Image Processing (ICIP) (pp. 4000–4006). https://doi.org/10.1109/ICIP51287.2024.10647775
Projects: Blindsight (2023–2025) / MAIJA (2024–2026) -
Closing the Gap in Human Behavior Analysis: A Pipeline for Synthesizing Trimodal Data
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Stippel, C., Heitzinger, T., Sterzinger, R., & Kampel, M. (2024). Closing the Gap in Human Behavior Analysis: A Pipeline for Synthesizing Trimodal Data. In 2024 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events (PerCom Workshops) (pp. 793–798). https://doi.org/10.1109/PerComWorkshops59983.2024.10503351
Project: KIIS (2021–2023) - Towards a Platform for Smart City-Scale Cognitive Assistance Applications / Rausch, T., Hummer, W., Stippel, C., Vasiljevic, S., Elvezio, C., Dustdar, S., & Krösl, K. (2021). Towards a Platform for Smart City-Scale Cognitive Assistance Applications. In 2021 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops (VRW). Distributed Interactive Systems for Collaboration Experiences (DISCE 2021) at IEEE VR 2021 - Online Conference, Unknown. IEEE. https://doi.org/10.1109/vrw52623.2021.00066