Sebastian Scherer, Stephan Brehm and Rainer Lienhart. 2022. Consistency regularization for unsupervised domain adaptation in semantic segmentation. Lecture Notes in Computer Science 13231, 500-511. DOI: 10.1007/978-3-031-06427-2_42
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Stephan Brehm, Florian Barthel and Rainer Lienhart. 2022. Controlling 3D objects in 2D image synthesis. SN Computer Science 4, 1, 48. DOI: 10.1007/s42979-022-01462-w
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Stephan Brehm. 2022. Image Manipulation and Image Synthesis. Dissertation, Universität Augsburg. .
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Stephan Brehm, Sebastian Scherer and Rainer Lienhart. 2022. Semantically consistent image-to-image translation for unsupervised domain adaptation. In Ana Paula Rocha, Luc Steels, Jaap van den Herik (Eds.). ICAART 2022: Proceedings of the 14th International Conference on Agents and Artificial Intelligence, online streaming, 3-5 February 2022, volume 2. SciTePress, Setúbal, 131-141 DOI: 10.5220/0010786000003116
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Nikolas Klug, Moritz Einfalt, Stephan Brehm and Rainer Lienhart. in press. Error bounds of projection models in weakly supervised 3D human pose estimation. In 2020 International Conference on 3D Vision (3DV), Fukuoka, Japan, November 2020. IEEE, Piscataway, NJ, 898-907 DOI: 10.1109/3DV50981.2020.00100
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Stephan Brehm, Sebastian Scherer and Rainer Lienhart. 2020. High-resolution dual-stage multi-level feature aggregation for single image and video deblurring. In Terry Boult, Gerard Medioni, Ramin Zabih, Eric Mortensen and Margaux Masson (Ed.). 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), 14-19 June 2020, Seattle, WA, USA. IEEE, Piscataway, NJ, 1872-1881. DOI: 10.1109/cvprw50498.2020.00237
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Stephan Brehm, Philipp Harzig, Moritz Einfalt and Rainer Lienhart. 2020. Learning segmentation from object color. In Jia Li and Shuyuan Zhu (Ed.). 2020 IEEE Conference on Multimedia Information Processing and Retrieval (MIPR), 6-8 August 2020, Shenzhen, Guangdong, China. IEEE, Piscataway, NJ, 139-144. DOI: 10.1109/mipr49039.2020.00036
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Dan Zecha, Christian Eggert, Moritz Einfalt, Stephan Brehm and Rainer Lienhart. 2018. A convolutional sequence to sequence model for multimodal dynamics prediction in ski jumps. In Proceedings of the 1st International Workshop on Multimedia Content Analysis in Sports - MMSports'18, October 26 - 26, 2018, Seoul, Republic of Korea. ACM Press, New York, USA, 11-19. DOI: 10.1145/3265845.3265855
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Philipp Harzig, Stephan Brehm, Rainer Lienhart, Carolin Kaiser and Rene Schallner. 2018. Multimodal image captioning for marketing analysis. In IEEE Conference on Multimedia Information Processing and Retrieval (MIPR), 10-12 April 2018, Miami, FL, USA. IEEE, Piscataway, NJ, 158-161. DOI: 10.1109/mipr.2018.00035
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Christian Eggert, Stephan Brehm, Anton Winschel, Dan Zecha and Rainer Lienhart. 2017. A closer look: small object detection in faster R-CNN. In IEEE International Conference on Multimedia and Expo (ICME), 10-14 July 2017, Hong Kong, China. IEEE, Piscataway, NJ, 421-426. DOI: 10.1109/icme.2017.8019550
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Christian Eggert, Dan Zecha, Stephan Brehm and Rainer Lienhart. 2017. Improving small object proposals for company logo detection. In Proceedings of the 2017 ACM on International Conference on Multimedia Retrieval - ICMR '17, June 06 - 09, 2017, Bucharest, Romania. ACM Press, New York, USA, 167-174. DOI: 10.1145/3078971.3078990
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Stephan Brehm. 2016. Deep convolutional neural networks for object segmentation and part labeling. Masterarbeit, Universität Augsburg. Universität Augsburg, Augsburg.
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