Simone Schaub-Meyer

Affiliations:
  • TU Darmstadt, Germany
  • ETH Zurich, Switzerland (former)


According to our database1, Simone Schaub-Meyer authored at least 25 papers between 2015 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Other 

Links

Online presence:

On csauthors.net:

Bibliography

2024
DIAGen: Diverse Image Augmentation with Generative Models.
CoRR, 2024

Guided Latent Slot Diffusion for Object-Centric Learning.
CoRR, 2024

Benchmarking the Attribution Quality of Vision Models.
CoRR, 2024

Boosting Unsupervised Semantic Segmentation with Principal Mask Proposals.
CoRR, 2024

Benchmarking Video Frame Interpolation.
CoRR, 2024

Is Synthetic Data all We Need? Benchmarking the Robustness of Models Trained with Synthetic Images.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023
Entropy-driven Unsupervised Keypoint Representation Learning in Videos.
Proceedings of the International Conference on Machine Learning, 2023

FunnyBirds: A Synthetic Vision Dataset for a Part-Based Analysis of Explainable AI Methods.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Content-Adaptive Downsampling in Convolutional Neural Networks.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022
S<sup>2</sup>-Flow: Joint Semantic and Style Editing of Facial Images.
CoRR, 2022

An information-theoretic approach to unsupervised keypoint representation learning.
CoRR, 2022

News Globe: Visualization of Geolocalized News Articles.
IEEE Computer Graphics and Applications, 2022

$S^2$-Flow: Joint Semantic and Style Editing of Facial Images.
Proceedings of the 33rd British Machine Vision Conference 2022, 2022

Efficient Feature Extraction for High-resolution Video Frame Interpolation.
Proceedings of the 33rd British Machine Vision Conference 2022, 2022

2021
Fast Axiomatic Attribution for Neural Networks.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021


Dense Unsupervised Learning for Video Segmentation.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2020
Simplifying the Process of Creating Augmented Outdoor Scenes.
Proceedings of the 2020 IEEE International Conference on Multimedia & Expo Workshops, 2020

Style Transfer for Keypoint Matching Under Adverse Conditions.
Proceedings of the 8th International Conference on 3D Vision, 2020

2019
Neural Inter-Frame Compression for Video Coding.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

2018
Video Frame Interpolation and Editing with Implicit Motion Estimation.
PhD thesis, 2018

PhaseNet for Video Frame Interpolation.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

Deep Video Color Propagation.
Proceedings of the British Machine Vision Conference 2018, 2018

2016
Phase-Based Modification Transfer for Video.
Proceedings of the Computer Vision - ECCV 2016, 2016

2015
Phase-based frame interpolation for video.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015


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