Felix Michels

According to our database, Felix Michels authored at least 7 papers between 2019 and 2024.

Collaborative distances:

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

2024

Adapting Contrastive Language-Image Pretrained (CLIP) Models for Out-of-Distribution Detection.

Nikolas Adaloglou, Felix Michels, Tim Kaiser, Markus Kollmann

Trans. Mach. Learn. Res., 2024

Scaling Up Deep Clustering Methods Beyond ImageNet-1K.

Nikolas Adaloglou, Felix Michels, Kaspar Senft, Diana Petrusheva, Markus Kollmann

CoRR, 2024

Rethinking cluster-conditioned diffusion models.

Nikolas Adaloglou, Tim Kaiser, Felix Michels, Markus Kollmann

CoRR, 2024

2023

Contrastive Language-Image Pretrained (CLIP) Models are Powerful Out-of-Distribution Detectors.

Felix Michels, Nikolas Adaloglou, Tim Kaiser, Markus Kollmann

CoRR, 2023

Exploring the Limits of Deep Image Clustering using Pretrained Models.

Nikolas Adaloglou, Felix Michels, Hamza Kalisch, Markus Kollmann

Proceedings of the 34th British Machine Vision Conference 2023, 2023

2021

Learning to Detect Adversarial Examples Based on Class Scores.

Tobias Uelwer, Felix Michels, Oliver De Candido

Proceedings of the KI 2021: Advances in Artificial Intelligence - 44th German Conference on AI, Virtual Event, September 27, 2021

2019

On the Vulnerability of Capsule Networks to Adversarial Attacks.

Felix Michels, Tobias Uelwer, Eric Upschulte, Stefan Harmeling

CoRR, 2019