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Katja Ludwig
Katja Ludwig
Machine Learning and Computer Vision Lab, University of Augsburg
在 uni-a.de 的电子邮件经过验证
标题
引用次数
引用次数
年份
Uplift and upsample: Efficient 3d human pose estimation with uplifting transformers
M Einfalt, K Ludwig, R Lienhart
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2023
322023
Self-supervised learning for human pose estimation in sports
K Ludwig, S Scherer, M Einfalt, R Lienhart
2021 IEEE International Conference on Multimedia & Expo Workshops (ICMEW), 1-6, 2021
232021
Robust estimation of flight parameters for ski jumpers
K Ludwig, M Einfalt, R Lienhart
2020 IEEE International Conference on Multimedia & Expo Workshops (ICMEW), 1-6, 2020
112020
An efficient online heuristic for mobile network slice embedding
K Ludwig, A Fendt, B Bauer
2020 23rd Conference on Innovation in Clouds, Internet and Networks and …, 2020
112020
End-to-end mobile network slice embedding leveraging edge computing
A Fendt, C Mannweiler, K Ludwig, LC Schmelz, B Bauer
NOMS 2020-2020 IEEE/IFIP Network Operations and Management Symposium, 1-7, 2020
102020
COVID detection and severity prediction with 3D-ConvNeXt and custom pretrainings
D Kienzle, J Lorenz, R Schön, K Ludwig, R Lienhart
European Conference on Computer Vision, 500-516, 2022
82022
Detecting arbitrary intermediate keypoints for human pose estimation with vision transformers
K Ludwig, P Harzig, R Lienhart
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2022
82022
All keypoints you need: Detecting arbitrary keypoints on the body of triple, high, and long jump athletes
K Ludwig, J Lorenz, R Schön, R Lienhart
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023
72023
Detecting arbitrary keypoints on limbs and skis with sparse partly correct segmentation masks
K Ludwig, D Kienzle, J Lorenz, R Lienhart
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2023
72023
Recognition of freely selected keypoints on human limbs
K Ludwig, D Kienzle, R Lienhart
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022
42022
Extended Self-Critical Pipeline for Transforming Videos to Text (TRECVID-VTT Task 2021)--Team: MMCUniAugsburg
P Harzig, M Einfalt, K Ludwig, R Lienhart
arXiv preprint arXiv:2112.14100, 2021
22021
Unsupervised domain extension for nighttime semantic segmentation in urban scenes
S Scherer, R Schön, K Ludwig, R Lienhart
22021
Transforming videos to text (VTT task) team: MMCUniAugsburg
P Harzig, M Einfalt, K Ludwig, R Lienhart
22020
Impact of pseudo depth on open world object segmentation with minimal user guidance
R Schön, K Ludwig, R Lienhart
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023
12023
The STOIC2021 COVID-19 AI challenge: Applying reusable training methodologies to private data
LH Boulogne, J Lorenz, D Kienzle, R Schön, K Ludwig, R Lienhart, ...
Medical Image Analysis 97, 103230, 2024
2024
A Fair Ranking and New Model for Panoptic Scene Graph Generation
J Lorenz, A Pest, D Kienzle, K Ludwig, R Lienhart
arXiv preprint arXiv:2407.09216, 2024
2024
Towards learning monocular 3D object localization from 2D labels using the physical laws of motion
D Kienzle, K Ludwig, J Lorenz, R Lienhart
2024 International Conference on 3D Vision (3DV), 1564-1573, 2024
2024
A Review and Efficient Implementation of Scene Graph Generation Metrics
J Lorenz, R Schön, K Ludwig, R Lienhart
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024
2024
Adapting the Segment Anything Model During Usage in Novel Situations
R Schön, J Lorenz, K Ludwig, R Lienhart
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024
2024
Specializing SAM: Online Adaptation of the Segment Anything Model for Interactive Segmentation in Uncommon Situations
R Schön, J Lorenz, K Ludwig, R Lienhart
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