GeJulia

Ph.D. in Computer Vision at Mannheim University in cooperation with Fraunhofer ITWM, Kaiserslautern

Germany

Pinned Repositories

Adaptive-anti-Aliasing
Language:Python1 0 00
antialiased-cnns
pip install antialiased-cnns to improve stability and accuracy
Language:Python1 0 00
EdgeFool
PyTorch implementation of EdgeFool: An Adversarial Image Enhancement Filter, ICASSP2020
Language:Python00
fast_adversarial
[ICLR 2020] A repository for extremely fast adversarial training using FGSM
Language:Python1 0 00
flc_pooling
Code for FrequencyLowCut Pooling (FLC pooling)
Language:Python17 2 52
gejulia.github.io
Julia Grabinski official website
Language:JavaScript10
NIFF
Language:Jupyter Notebook00
robustness_confidences_evaluation
Official repository for our paper Robust Models are less Over-Confident
Language:Python19 3 01
WaveCNet
the code for WaveCNet
Language:Python1 0 00
wineForTheWin
Language:Jupyter Notebook1 2 00

GeJulia's Repositories

GeJulia/robustness_confidences_evaluation
Official repository for our paper Robust Models are less Over-Confident
Language:Python19 3 01
GeJulia/flc_pooling
Code for FrequencyLowCut Pooling (FLC pooling)
Language:Python17 2 52
GeJulia/Adaptive-anti-Aliasing
Language:Python1 0 00
GeJulia/antialiased-cnns
pip install antialiased-cnns to improve stability and accuracy
Language:Python1 0 00
GeJulia/fast_adversarial
[ICLR 2020] A repository for extremely fast adversarial training using FGSM
Language:Python1 0 00
GeJulia/gejulia.github.io
Julia Grabinski official website
Language:JavaScript10
GeJulia/WaveCNet
the code for WaveCNet
Language:Python1 0 00
GeJulia/wineForTheWin
Language:Jupyter Notebook1 2 00
GeJulia/EdgeFool
PyTorch implementation of EdgeFool: An Adversarial Image Enhancement Filter, ICASSP2020
Language:Python00
GeJulia/NIFF
Language:Jupyter Notebook00