Julian Lorenz
Phone: | +49 (821) 598 4334 |
Email: | julian.lorenz@uni-auni-a.de () |
Room: | 1024 (N) |
Address: | Universit?tsstra?e 6a, 86159 Augsburg |
Teaching
- SS 2022 - SS 2025: Multimedia Projekt
- WS 2024: Advanced Deep Learning
Publications
2025 |
Katja Ludwig, Julian Lorenz, Daniel Kienzle, Tuan Bui and Rainer Lienhart. in press. Leveraging anthropometric measurements to improve human mesh estimation and ensure consistent body shapes. In IEEE/CVF International Conference on Computer Vision and Pattern Recognition (CVPR 2025 Workshops). IEEE, Piscataway, NJ DOI: 10.48550/arXiv.2409.17671 |
Robin Sch?n, Julian Lorenz, Daniel Kienzle and Rainer Lienhart. in press. SkipClick: combining quick responses and low-level features for interactive segmentation in winter sports contexts. In Proceedings of the Winter Conference on Applications of Computer Vision (WACVW) Workshops 2025, 28 February - 4 March 2025, Tucson, AZ, USA. IEEE, Piscataway, NJ, 1247-1256 DOI: 10.48550/arXiv.2501.07960 |
2024 |
Julian Lorenz, Alexander Pest, Daniel Kienzle, Katja Ludwig and Rainer Lienhart. 2024. A fair ranking and new model for panoptic scene graph generation. In Ale? Leonardis, Elisa Ricci, Stefan Roth, Olga Russakovsky, Torsten Sattler, Gül Varol (Eds.). Computer Vision – ECCV 2024: 18th European Conference, Milan, Italy, September 29 – October 4, 2024, proceedings, part LXI. Springer, Berlin, 148-164 DOI: 10.1007/978-3-031-73030-6_9 |
Julian Lorenz, Robin Sch?n, Katja Ludwig and Rainer Lienhart. 2024. A review and efficient implementation of scene graph generation metrics. In Eric Mortensen (Ed.). 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), Jun 16-22, 2024, Seattle, WA, USA. Institute of Electrical and Electronics Engineers (IEEE), Piscataway, NJ, 2567-2575 DOI: 10.1109/CVPRW63382.2024.00263 |
Robin Sch?n, Julian Lorenz, Katja Ludwig and Rainer Lienhart. 2024. Adapting the segment anything model during usage in novel situations. In Eric Mortensen (Ed.). IEEE / CVF Computer Vision and Pattern Recognition Conference Workshops (CVPRW), Jun 17th-21st, 2024, Seattle, WA, USA. Institute of Electrical and Electronics Engineers (IEEE), Piscataway, NJ, 3616-3626 DOI: 10.1109/CVPRW63382.2024.00365 |
Luuk H. Boulogne, Julian Lorenz, Daniel Kienzle, Robin Sch?n, Katja Ludwig, Rainer Lienhart, Simon Jegou, Guang Li, Cong Chen, Qi Wang, Derik Shi, Mayug Maniparambil, Dominik Müller, Silvan Mertes, Niklas Schr?ter, Fabio Hellmann, Miriam Elia, Ine Dirks, Matias Nicolas Bossa, Abel Diaz Berenguer, Tanmoy Mukherjee, Jef Vandemeulebroucke, Hichem Sahli, Nikos Deligiannis, Panagiotis Gonidakis, Ngoc Dung Huynh, Imran Razzak, Reda Bouadjenek, Mario Verdicchio, Pasquale Borrelli, Marco Aiello, James A. Meakin, Alexander Lemm, Christoph Russ, Razvan Ionasec, Nikos Paragios, Bram van Ginneken and Marie-Pierre Revel Dubios. 2024. The STOIC2021 COVID-19 AI challenge: applying reusable training methodologies to private data. 威尼斯赌博游戏_威尼斯赌博app-【官网】ical Image Analysis 97, 103230. DOI: 10.1016/j.media.2024.103230 |
Daniel Kienzle, Katja Ludwig, Julian Lorenz and Rainer Lienhart. 2024. Towards learning monocular 3D object localization from 2D labels using the physical laws of motion. In Theodora Kontogianni, Akihiro Sugimoto, Gopal Sharma (Eds.). International Conference on 3D Vision 2024 (3DV), March 18-21, 2024, Davos, Switzerland. IEEE, Piscataway, NJ, 1564-1573 DOI: 10.1109/3DV62453.2024.00155 |
2023 |
Katja Ludwig, Julian Lorenz, Robin Sch?n and Rainer Lienhart. 2023. All keypoints you need: detecting arbitrary keypoints on the body of triple, high, and long jump athletes. In 2023 IEEE/CVF International Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), June 17 2023 to June 24 2023, Vancouver, BC, Canada. IEEE, Piscataway, NJ, 5179-5187 DOI: 10.1109/CVPRW59228.2023.00546 |
Daniel Kienzle, Julian Lorenz, Robin Sch?n, Katja Ludwig and Rainer Lienhart. 2023. COVID detection and severity prediction with 3D-ConvNeXt and custom pretrainings. In Leonid Karlinsky, Tomer Michaeli, Ko Nishino (Eds.). Computer Vision – ECCV 2022 Workshops: Tel Aviv, Israel, October 23–27, 2022, Proceedings, Part VII. Springer, Berlin, 500-516 DOI: 10.1007/978-3-031-25082-8_33 |
Katja Ludwig, Daniel Kienzle, Julian Lorenz and Rainer Lienhart. 2023. Detecting arbitrary keypoints on limbs and skis with sparse partly correct segmentation masks. In IEEE/CVF Winter Conference on Applications of Computer Vision Workshops (WACVW), Jan. 3 2023 to Jan. 7 2023, Waikoloa, HI, USA. IEEE, Piscataway, NJ, 1-10 DOI: 10.1109/WACVW58289.2023.00051 |
Julian Lorenz, Florian Barthel, Daniel Kienzle and Rainer Lienhart. 2023. Haystack: a panoptic scene graph dataset to evaluate rare predicate classes. In 2023 IEEE International Conference on Computer Vision Workshops (ICCVW), October 2-6, 2023, Paris, France. IEEE, Piscataway, NJ, 62-70 DOI: 10.1109/ICCVW60793.2023.00013 |
Supervised Theses
- Ludwig Holl,? Uncertainty Evaluation for Panoptic Scene Graph Generation, Project module,? 2025
- Gregor B?hm, Optimizing Annotation Efficiency for Scene Graph Classification: An Active Learning Approach, Master thesis,2025
- Valentin Haug, Re-Identification of Faces anonymized with Dataset Enhancment with Instance-Level Augmentation, Project module,2025
- Vladyslav Kovganko, Realtime Capable Neural Networks for Scene Graph Generation, Bachelor thesis, 2025
- Elias Kohout, Performance improvements for the Decoupled SceneFormer, Project module, 2025
- Simon Fischer, Aktives Lernen mit neuronalen Netzwerken zur Erkennung von Szenengraphen, Bachelor thesis, 2024
- Nils Urbach, Generating Synthetic Scene Graph Datasets for Deep Learning, Bachelor thesis, 2024
- Alexander Pest, Domain-Specific Evaluation Metrics of Deep Learning Models for Scene Graph Generation, Bachelor thesis, 2024
- Marcel Nowocyn, Generierung von synthetischen Datens?tzen mit kontrollierbaren visuellen Beziehungen, Bachelor thesis, 2023
- Raphael Arndt, Automatisiertes Generieren von synthetischen Scene Graph Datens?tzen, Project module, 2023
- Thomas Schmitz, Generating Synthetic Human Pose Datasets with Highly Diverses Poses, Bachelor thesis, 2023
- Simon Graeber, Generating Synthetic Bounding Box Datatsets with Controllable Complexity, Bachelor thesis, 2023
- Ludwig Holl, Teilüberwachtes Lernen mit neuronalen Netzwerken zur Erkennung von visuellen Beziehungen, Bachelor thesis, 2023
- Marcel Nowocyn, Erstellen von synthetischen Bildern mit Google Kubric, Project module, 2022
Mentoring
- Nico H?rmann (research assistant 2025)
- Jayant Varma (intern student 2024)
- Florian Barthel (research assistant 2023)