Felix Michels

11 papers A 2Misc 1Journal 8
YearRankTypeTitle / Venue / Authors
2025 J jnl
ClusterMine: Robust Label-Free Visual Out-Of-Distribution Detection via Concept Mining from Text Corpora.
CoRR
Nikolas Adaloglou, Diana Petrusheva, Mohamed Asker, Felix Michels, Markus Kollmann
2025 A conf
Rethinking Cluster-Conditioned Diffusion Models for Label-Free Image Synthesis.
WACV
Nikolas Adaloglou, Tim Kaiser, Felix Michels, Markus Kollmann
2024 J jnl
Adapting Contrastive Language-Image Pretrained (CLIP) Models for Out-of-Distribution Detection.
Trans. Mach. Learn. Res.
Nikolas Adaloglou, Felix Michels, Tim Kaiser, Markus Kollmann
2024 J jnl
Rethinking cluster-conditioned diffusion models.
CoRR
Nikolas Adaloglou, Tim Kaiser, Felix Michels, Markus Kollmann
2024 J jnl
Scaling Up Deep Clustering Methods Beyond ImageNet-1K.
CoRR
Nikolas Adaloglou, Felix Michels, Kaspar Senft, Diana Petrusheva, Markus Kollmann
2023 J jnl
Contrastive Language-Image Pretrained (CLIP) Models are Powerful Out-of-Distribution Detectors.
CoRR
Felix Michels, Nikolas Adaloglou, Tim Kaiser, Markus Kollmann
2023 A conf
Exploring the Limits of Deep Image Clustering using Pretrained Models.
BMVC
Nikolas Adaloglou, Felix Michels, Hamza Kalisch, Markus Kollmann
2023 J jnl
Exploring the Limits of Deep Image Clustering using Pretrained Models.
CoRR
Nikolas Adaloglou, Felix Michels, Hamza Kalisch, Markus Kollmann
2021 Misc conf
Learning to Detect Adversarial Examples Based on Class Scores.
KI
Tobias Uelwer, Felix Michels, Oliver De Candido
2021 J jnl
Learning to Detect Adversarial Examples Based on Class Scores.
CoRR
Tobias Uelwer, Felix Michels, Oliver De Candido
2019 J jnl
On the Vulnerability of Capsule Networks to Adversarial Attacks.
CoRR
Felix Michels, Tobias Uelwer, Eric Upschulte, Stefan Harmeling