Simone Schaub-Meyer

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 24

Top Topics

Unsupervised Learning

Frame Interpolation

Convolutional Neural Networks

Top Venues

Publications

Oliver Hahn, Nikita Araslanov, Simone Schaub-Meyer, Stefan Roth
Boosting Unsupervised Semantic Segmentation with Principal Mask Proposals. CoRR (2024)
Robin Hesse, Simone Schaub-Meyer, Stefan Roth
Benchmarking the Attribution Quality of Vision Models. CoRR (2024)
Simon Kiefhaber, Simon Niklaus, Feng Liu, Simone Schaub-Meyer
Benchmarking Video Frame Interpolation. CoRR (2024)
Krishnakant Singh, Simone Schaub-Meyer, Stefan Roth
Guided Latent Slot Diffusion for Object-Centric Learning. CoRR (2024)
Krishnakant Singh, Thanush Navaratnam, Jannik Holmer, Simone Schaub-Meyer, Stefan Roth
Is Synthetic Data all We Need? Benchmarking the Robustness of Models Trained with Synthetic Images. CoRR (2024)
Robin Hesse, Simone Schaub-Meyer, Stefan Roth
Content-Adaptive Downsampling in Convolutional Neural Networks. CVPR Workshops (2023)
Robin Hesse, Simone Schaub-Meyer, Stefan Roth
FunnyBirds: A Synthetic Vision Dataset for a Part-Based Analysis of Explainable AI Methods. CoRR (2023)
Robin Hesse, Simone Schaub-Meyer, Stefan Roth
FunnyBirds: A Synthetic Vision Dataset for a Part-Based Analysis of Explainable AI Methods. ICCV (2023)
Ali Younes, Simone Schaub-Meyer, Georgia Chalvatzaki
Entropy-driven Unsupervised Keypoint Representation Learning in Videos. ICML (2023)
Robin Hesse, Simone Schaub-Meyer, Stefan Roth
Content-Adaptive Downsampling in Convolutional Neural Networks. CoRR (2023)
Moritz Nottebaum, Stefan Roth, Simone Schaub-Meyer
Efficient Feature Extraction for High-resolution Video Frame Interpolation. CoRR (2022)
Nicholas Ingulfsen, Simone Schaub-Meyer, Markus Gross, Tobias Günther
News Globe: Visualization of Geolocalized News Articles. IEEE Computer Graphics and Applications 42 (4) (2022)
Krishnakant Singh, Simone Schaub-Meyer, Stefan Roth
-Flow: Joint Semantic and Style Editing of Facial Images. CoRR (2022)
Moritz Nottebaum, Stefan Roth, Simone Schaub-Meyer
Efficient Feature Extraction for High-resolution Video Frame Interpolation. BMVC (2022)
Ali Younes, Simone Schaub-Meyer, Georgia Chalvatzaki
An information-theoretic approach to unsupervised keypoint representation learning. CoRR (2022)
Krishnakant Singh, Simone Schaub-Meyer, Stefan Roth
$S^2$-Flow: Joint Semantic and Style Editing of Facial Images. BMVC (2022)
Dustin Carrión-Ojeda, Mahbubul Alam, Sergio Escalera, Ahmed K. Farahat, Dipanjan Ghosh, Maria Teresa Gonzalez Diaz, Chetan Gupta, Isabelle Guyon, Joël Roman Ky, Xian Yeow Lee, Xin Liu, Felix Mohr, Manh Hung Nguyen, Emmanuel Pintelas, Stefan Roth, Simone Schaub-Meyer, Haozhe Sun, Ihsan Ullah, Joaquin Vanschoren, Lasitha Vidyaratne, Jiamin Wu, Xiaotian Yin
NeurIPS’22 Cross-Domain MetaDL Challenge: Results and lessons learned. NeurIPS (Competition and Demos) (2021)
Nikita Araslanov, Simone Schaub-Meyer, Stefan Roth
Dense Unsupervised Learning for Video Segmentation. NeurIPS (2021)
Nikita Araslanov, Simone Schaub-Meyer, Stefan Roth
Dense Unsupervised Learning for Video Segmentation. CoRR (2021)
Robin Hesse, Simone Schaub-Meyer, Stefan Roth
Fast Axiomatic Attribution for Neural Networks. NeurIPS (2021)
Robin Hesse, Simone Schaub-Meyer, Stefan Roth
Fast Axiomatic Attribution for Neural Networks. CoRR (2021)
Ribin Chalumattu, Simone Schaub-Meyer, Robin Wiethuchter, Severin Klingler, Markus H. Gross
Simplifying the Process of Creating Augmented Outdoor Scenes. ICME Workshops (2020)
Ali Uzpak, Abdelaziz Djelouah, Simone Schaub-Meyer
Style Transfer for Keypoint Matching Under Adverse Conditions. 3DV (2020)
Abdelaziz Djelouah, Joaquim Campos, Simone Schaub-Meyer, Christopher Schroers
Neural Inter-Frame Compression for Video Coding. ICCV (2019)