Nikolas Adaloglou

15 papers A 2Journal 11Unranked 2
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
2024 J jnl
The Unreasonable Effectiveness of Guidance for Diffusion Models.
CoRR
Tim Kaiser, Nikolas Adaloglou, 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
2022 J jnl
A Comprehensive Study on Deep Learning-Based Methods for Sign Language Recognition.
IEEE Trans. Multim.
Nikolas Adaloglou, Theocharis Chatzis, Ilias Papastratis, Andreas Stergioulas, Georgios Th. Papadopoulos, Vassia Zacharopoulou, George J. Xydopoulos, Klimnis Atzakas, Dimitris Papazachariou, Petros Daras
2022 J jnl
Self-Supervised Anomaly Detection by Self-Distillation and Negative Sampling.
CoRR
Nima Rafiee, Rahil Gholamipoorfard, Nikolas Adaloglou, Simon Jaxy, Julius Ramakers, Markus Kollmann
2022 — conf
Self-supervised Anomaly Detection by Self-distillation and Negative Sampling.
ICANN (4)
Nima Rafiee, Rahil Gholamipoor, Nikolas Adaloglou, Simon Jaxy, Julius Ramakers, Markus Kollmann
2020 J jnl
A Comprehensive Study on Sign Language Recognition Methods.
CoRR
Nikolas Adaloglou, Theocharis Chatzis, Ilias Papastratis, Andreas Stergioulas, Georgios Th. Papadopoulos, Vassia Zacharopoulou, George J. Xydopoulos, Klimnis Atzakas, Dimitris Papazachariou, Petros Daras
2020 — conf
Multi-view Adaptive Graph Convolutions for Graph Classification.
ECCV (26)
Nikolas Adaloglou, Nicholas Vretos, Petros Daras
2020 J jnl
Multi-view adaptive graph convolutions for graph classification.
CoRR
Nikolas Adaloglou, Nicholas Vretos, Petros Daras