Constantin Seibold
Constantin Seibold
Потвърден имейл адрес:
Content and Colour Distillation for Learning Image Translations with the Spatial Profile Loss
MS Sarfraz, C Seibold, H Khalid, R Stiefelhagen
30th British Machine Vision Conference, 2019
Every annotation counts: Multi-label deep supervision for medical image segmentation
S Reiß, C Seibold, A Freytag, E Rodner, R Stiefelhagen
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021
Let's Play for Action: Recognizing Activities of Daily Living by Learning from Life Simulation Video Games
A Roitberg, D Schneider, A Djamal, C Seibold, S Reiß, R Stiefelhagen
arXiv preprint arXiv:2107.05617, 2021
Flying Guide Dog: Walkable Path Discovery for the Visually Impaired Utilizing Drones and Transformer-based Semantic Segmentation
H Tan, C Chen, X Luo, J Zhang, C Seibold, K Yang, R Stiefelhagen
arXiv preprint arXiv:2108.07007, 2021
Pose2Drone: A Skeleton-Pose-based Framework for Human-Drone Interaction
Z Marinov, S Vasileva, Q Wang, C Seibold, J Zhang, R Stiefelhagen
arXiv preprint arXiv:2105.13204, 2021
A reporting and analysis framework for structured evaluation of COVID-19 clinical and imaging data
GA Salg, MK Ganten, AM Bucher, HG Kenngott, MA Fink, C Seibold, ...
npj Digital Medicine 4 (1), 2021
Prediction of low-keV monochromatic images from polyenergetic CT scans for improved automatic detection of pulmonary embolism
C Seibold, MA Fink, C Goos, HU Kauczor, HP Schlemmer, R Stiefelhagen, ...
2021 IEEE 18th International Symposium on Biomedical Imaging (ISBI), 2021
Self-Guided Multiple Instance Learning for Weakly Supervised Thoracic Disease Classification and Localization in Chest Radiographs
C Seibold, J Kleesiek, HP Schlemmer, R Stiefelhagen
Proceedings of the Asian Conference on Computer Vision, 2020
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