Julia Grabinski

According to our database, Julia Grabinski authored at least 8 papers between 2022 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Improving Stability during Upsampling - on the Importance of Spatial Context.

Shashank Agnihotri, Julia Grabinski, Margret Keuper

CoRR, 2023

As large as it gets: Learning infinitely large Filters via Neural Implicit Functions in the Fourier Domain.

Julia Grabinski, Janis Keuper, Margret Keuper

CoRR, 2023

Fix your downsampling ASAP! Be natively more robust via Aliasing and Spectral Artifact free Pooling.

Julia Grabinski, Janis Keuper, Margret Keuper

CoRR, 2023

On the unreasonable vulnerability of transformers for image restoration - and an easy fix.

Shashank Agnihotri, Kanchana Vaishnavi Gandikota, Julia Grabinski, Paramanand Chandramouli, Margret Keuper

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022

Aliasing and adversarial robust generalization of CNNs.

Julia Grabinski, Janis Keuper, Margret Keuper

Mach. Learn., 2022

FrequencyLowCut Pooling - Plug & Play against Catastrophic Overfitting.

Julia Grabinski, Steffen Jung, Janis Keuper, Margret Keuper

CoRR, 2022

Robust Models are less Over-Confident.

Julia Grabinski, Paul Gavrikov, Janis Keuper, Margret Keuper

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

FrequencyLowCut Pooling - Plug and Play Against Catastrophic Overfitting.

Julia Grabinski, Steffen Jung, Janis Keuper, Margret Keuper

Proceedings of the Computer Vision - ECCV 2022, 2022