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Felix Michels
Felix Michels
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Bestätigte E-Mail-Adresse bei hhu.de
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Zitiert von
Zitiert von
Jahr
On the vulnerability of capsule networks to adversarial attacks
F Michels, T Uelwer, E Upschulte, S Harmeling
arXiv preprint arXiv:1906.03612, 2019
252019
Exploring the limits of deep image clustering using pretrained models
N Adaloglou, F Michels, H Kalisch, M Kollmann
arXiv preprint arXiv:2303.17896, 2023
92023
Contrastive language-image pretrained (clip) models are powerful out-of-distribution detectors
F Michels, N Adaloglou, T Kaiser, M Kollmann
arXiv preprint arXiv:2303.05828, 2023
32023
Rethinking cluster-conditioned diffusion models
N Adaloglou, T Kaiser, F Michels, M Kollmann
arXiv preprint arXiv:2403.00570, 2024
12024
Learning to Detect Adversarial Examples Based on Class Scores
T Uelwer, F Michels, O De Candido
KI 2021: Advances in Artificial Intelligence: 44th German Conference on AI …, 2021
12021
Scaling Up Deep Clustering Methods Beyond ImageNet-1K
N Adaloglou, F Michels, K Senft, D Petrusheva, M Kollmann
arXiv preprint arXiv:2406.01203, 2024
2024
Adapting Contrastive Language-Image Pretrained (CLIP) Models for Out-of-Distribution Detection
N Adaloglou, F Michels, T Kaiser, M Kollmann
arXiv e-prints, arXiv: 2303.05828, 2023
2023
Evaluating Robust Perceptual Losses for Image Reconstruction
T Uelwer, F Michels, O De Candido
I Can't Believe It's Not Better Workshop: Understanding Deep Learning …, 2022
2022
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