Publications
] (2019). Bolus arrival time estimation in dynamic contrast-enhanced magnetic resonance imaging of small animals based on spline models, in press. Physics in Medicine and Biology. 64
(2019). Divide and Conquer the Embedding Space for Metric Learning. Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR). https://github.com/CompVis/metric-learning-divide-and-conquer
(2019). End-to-End Learned Random Walker for Seeded Image Segmentation. CVPR. Proceedings, in press
(2019). LeMoNADe: Learned Motif and Neuronal Assembly Detection in calcium imaging videos. ICLR. Proceedings
(2019). Robust Single Object Tracking Via Fully Convolutional Siamese Networks. Heidelberg University
(2019). Semantic Instance Segmentation With The Multiway Mutex Watershed. Heidelberg University
(2019). Unsupervised Part-Based Disentangling of Object Shape and Appearance. Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR) (Oral)
(2019). Using a Transformation Content Block For Image Style Transfer. Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
(2018). Attesting Similarity: Supporting the Organization and Study of Art Image Collections with Computer Vision. Digital Scholarship in the Humanities, Oxford University Press. 33 845-856
(2018). Augmented Reality Meets Computer Vision Efficient Data Generation for Urban Driving Scenes. IJCV. 1-12
Technical Report (3.83 MB)
Technical Report (3.83 MB) (2018). Computer Vision und Kunstgeschichte — Dialog zweier Bildwissenschaften. Computing Art Reader: Einführung in die digitale Kunstgeschichte, P. Kuroczyński et al. (ed.) 413-17-83318-2-10-20181210.pdf (2.98 MB)
413-17-83318-2-10-20181210.pdf (2.98 MB) (2018). Cross and Learn: Cross-Modal Self-Supervision. German Conference on Pattern Recognition (GCPR) (Oral). Stuttgart, Germany. https://arxiv.org/abs/1811.03879v1 Article (891.47 KB) Oral slides (9.17 MB)
Article (891.47 KB) Oral slides (9.17 MB) (2018). Deep End-To-End Learning Of A Diffusion Process For Seeded Image Segmentation. Heidelberg University
(2018). Deep Unsupervised Learning of Visual Similarities. Pattern Recognition. 78. https://authors.elsevier.com/a/1WXUt77nKSb25 PDF (8.35 MB)
PDF (8.35 MB) (2018). Dictionary Learning With Bayesian Gans For Few-Shot Classification. Heidelberg University
(2018). Early reduced behavioral activity induced by large strokes affects the efficiency of enriched environment in rats. Sage Journals. Journal of Cerebral Blood Flow & Metabolism. http://journals.sagepub.com/doi/abs/10.1177/0271678X18777661 0271678x18777661.pdf (770.87 KB)
0271678x18777661.pdf (770.87 KB) (2018). End-to-end Learning of Deterministic Decision Trees. German Conference on Pattern Recognition. Proceedings. Springer. LNCS 11269 612-627 Technical Report (1.4 MB)
Technical Report (1.4 MB) (2018). The Energy Landscape Of Deep Neural Networks. Heidelberg University
(2018). Essentially No Barriers in Neural Network Energy Landscape. ICML. Proceedings. 80 1308--1317 Technical Report (685.93 KB)
Technical Report (685.93 KB) (2018). Fast median filtering for phase or orientation data. IEEE Transactions on Pattern Analysis and Machine Intelligence. 40 639–652 Technical Report (7.32 MB)
Technical Report (7.32 MB) (2018). Fast Multivariate Log-Concave Density Estimation. preprint: ArXiv. https://arxiv.org/pdf/1805.07272.pdf Technical Report (3.54 MB)
Technical Report (3.54 MB) (2018). Fast Piecewise-Affine Motion Estimation Without Segmentation. IEEE Transactions on Image Processing. 27 5612 - 5624
(2018). Image Labeling Based on Graphical Models Using Wasserstein Messages and Geometric Assignment. SIAM Journal on Imaging Sciences. 11 1317-1362 Technical Report (2.62 MB)
Technical Report (2.62 MB) (2018). Improving Spatiotemporal Self-Supervision by Deep Reinforcement Learning. Proceedings of the European Conference on Computer Vision (ECCV). (UB and BB contributed equally), Munich, Germany Article (5.34 MB) buechler_eccv18_poster.pdf (1.65 MB)
Article (5.34 MB) buechler_eccv18_poster.pdf (1.65 MB) (2018). iPose: Instance-Aware 6D Pose Estimation of Partly Occluded Objects. ACCV. Proceedings, in press Technical Report (3.28 MB)
Technical Report (3.28 MB) (2018). Learnability Of Approximated Graph Cut Segmentation. Heidelberg University
(2018). Learning Steerable Filters for Rotation Equivariant CNNs. CVPR
(2018). Learning to Forecast Pedestrian Intention from Pose Dynamics. Intelligent Vehicles, IEEE, 2018
(2018). Mathematical Analysis of the 1D Model and Reconstruction Schemes for Magnetic Particle Imaging. Inverse Problems. 34
(2018). Model-based learning of local image features for unsupervised texture segmentation. IEEE Transactions on Image Processing. 27 1994-2007
(2018). Multicut Algorithms for Neurite Segmentation. Heidelberg University
(2018). The Mutex Watershed: Efficient, Parameter-Free Image Partitioning. ECCV. Proceedings, in press
(2018). Reconstructing Histories: Analyzing Exhibition Photographs with Computational Methods. Arts, Computational Aesthetics. 7, 64 arts-07-00064.pdf (4.6 MB)
arts-07-00064.pdf (4.6 MB) (2018). Reflecting on How Artworks Are Processed and Analyzed by Computer Vision. European Conference on Computer Vision (ECCV). Springer