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Simone Schaub-Meyer
Simone Schaub-Meyer
Independent research group leader @ TU Darmstadt | Hessian.AI
Verified email at visinf.tu-darmstadt.de - Homepage
Title
Cited by
Cited by
Year
Phase-based frame interpolation for video
S Meyer, O Wang, H Zimmer, M Grosse, A Sorkine-Hornung
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2015
3312015
PhaseNet for Video Frame Interpolation
S Meyer, A Djelouah, B McWilliams, A Sorkine-Hornung, M Gross, ...
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018
2042018
Neural inter-frame compression for video coding
A Djelouah, J Campos, S Schaub-Meyer, C Schroers
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019
1832019
Deep video color propagation
S Meyer, V Cornillčre, A Djelouah, C Schroers, M Gross
British Machine Vision Conference, 2018
512018
Dense unsupervised learning for video segmentation
N Araslanov, S Schaub-Meyer, S Roth
Advances in Neural Information Processing Systems 34, 25308-25319, 2021
302021
Fast axiomatic attribution for neural networks
R Hesse, S Schaub-Meyer, S Roth
Advances in Neural Information Processing Systems 34, 19513-19524, 2021
292021
Phase-Based Modification Transfer for Video
S Meyer, A Sorkine-Hornung, M Gross
European Conference on Computer Vision, 633-648, 2016
222016
FunnyBirds: A Synthetic Vision Dataset for a Part-Based Analysis of Explainable AI Methods
R Hesse, S Schaub-Meyer, S Roth
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023
132023
Video frame interpolation using a convolutional neural network
C Schroers, S Meyer, A Djelouah, AS Hornung, B McWilliams, M Gross
US Patent 10,491,856, 2019
62019
Style Transfer for Keypoint Matching Under Adverse Conditions
A Uzpak, A Djelouah, S Schaub-Meyer
2020 International Conference on 3D Vision (3DV), 1089-1097, 2020
52020
Systems and methods for interpolating frames of a video
H Zimmer, AS Hornung, S Meyer, M Grosse, O Wang
US Patent 9,571,786, 2017
52017
Content-Adaptive Downsampling in Convolutional Neural Networks
R Hesse, S Schaub-Meyer, S Roth
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023
42023
Machine learning based video compression
C Schroers, S Schaub, E Doggett, J Mcphillen, S Labrozzi, A Djelouah
US Patent App. 16/261,441, 2020
42020
Efficient Feature Extraction for High-resolution Video Frame Interpolation
M Nottebaum, S Roth, S Schaub-Meyer
British Machine Vision Conference, 2022
32022
Simplifying the Process of Creating Augmented Outdoor Scenes
R Chalumattu, S Schaub-Meyer, R Wiethuchter, S Klingler, M Gross
2020 IEEE International Conference on Multimedia & Expo Workshops (ICMEW), 1-6, 2020
32020
NeurIPS’22 Cross-Domain MetaDL Challenge: Results and lessons learned
D Carrión-Ojeda, M Alam, S Escalera, A Farahat, D Ghosh, TG Diaz, ...
NeurIPS 2022 Competition Track, 50-72, 2023
22023
Systems and methods for propagating edits through a video
AS Hornung, S Meyer
US Patent 9,911,215, 2018
22018
Benchmarking Video Frame Interpolation
S Kiefhaber, S Niklaus, F Liu, S Schaub-Meyer
arXiv preprint arXiv:2403.17128, 2024
12024
MACHINE LEARNING BASED VIDEO COMPRESSION
C Schroers, S Schaub, E Doggett, J Mcphillen, S Labrozzi, A Djelouah
US Patent App. 18/049,262, 2023
12023
-Flow: Joint Semantic and Style Editing of Facial Images
K Singh, S Schaub-Meyer, S Roth
British Machine Vision Conference, 2022
12022
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