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2020 – today
- 2024
[j1]Nikolas Adaloglou, Felix Michels, Tim Kaiser, Markus Kollmann:
Adapting Contrastive Language-Image Pretrained (CLIP) Models for Out-of-Distribution Detection. Trans. Mach. Learn. Res. 2024 (2024)- [i6]Nikolas Adaloglou, Tim Kaiser, Felix Michels, Markus Kollmann:
Rethinking cluster-conditioned diffusion models. CoRR abs/2403.00570 (2024) - [i5]Nikolas Adaloglou, Felix Michels, Kaspar Senft, Diana Petrusheva, Markus Kollmann:
Scaling Up Deep Clustering Methods Beyond ImageNet-1K. CoRR abs/2406.01203 (2024) - 2023
- [c2]Nikolas Adaloglou, Felix Michels, Hamza Kalisch, Markus Kollmann:
Exploring the Limits of Deep Image Clustering using Pretrained Models. BMVC 2023: 297-299 - [i4]Felix Michels, Nikolas Adaloglou
, Tim Kaiser, Markus Kollmann:
Contrastive Language-Image Pretrained (CLIP) Models are Powerful Out-of-Distribution Detectors. CoRR abs/2303.05828 (2023) - [i3]Nikolas Adaloglou, Felix Michels, Hamza Kalisch, Markus Kollmann:
Exploring the Limits of Deep Image Clustering using Pretrained Models. CoRR abs/2303.17896 (2023) - 2021
- [c1]Tobias Uelwer, Felix Michels, Oliver De Candido:
Learning to Detect Adversarial Examples Based on Class Scores. KI 2021: 233-240 - [i2]Tobias Uelwer, Felix Michels, Oliver De Candido:
Learning to Detect Adversarial Examples Based on Class Scores. CoRR abs/2107.04435 (2021)
2010 – 2019
- 2019
- [i1]Felix Michels, Tobias Uelwer, Eric Upschulte, Stefan Harmeling:
On the Vulnerability of Capsule Networks to Adversarial Attacks. CoRR abs/1906.03612 (2019)
Coauthor Index
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