Nikolas Adaloglou

According to our database, Nikolas Adaloglou authored at least 14 papers between 2020 and 2026.

Collaborative distances:

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

2026

ClusterMine: Robust Label-Free Visual Out-Of-Distribution Detection via Concept Mining from Text Corpora.

Nikolas Adaloglou, Diana Petrusheva, Mohamed Asker, Felix Michels, Markus Kollmann

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2026

2025

Rethinking Cluster-Conditioned Diffusion Models for Label-Free Image Synthesis.

Nikolas Adaloglou, Tim Kaiser, Felix Michels, Markus Kollmann

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2025

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

The Unreasonable Effectiveness of Guidance for Diffusion Models.

Tim Kaiser, Nikolas Adaloglou, Markus Kollmann

CoRR, 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

2022

A Comprehensive Study on Deep Learning-Based Methods for Sign Language Recognition.

Nikolas Adaloglou, Theocharis Chatzis, Ilias Papastratis, Andreas Stergioulas, Georgios Th. Papadopoulos, Vassia Zacharopoulou, George J. Xydopoulos, Klimnis Atzakas, Dimitris Papazachariou, Petros Daras

IEEE Trans. Multim., 2022

Self-supervised Anomaly Detection by Self-distillation and Negative Sampling.

Nima Rafiee, Rahil Gholamipoor, Nikolas Adaloglou, Simon Jaxy, Julius Ramakers, Markus Kollmann

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2022, 2022

2020

The Greek Sign Language (GSL) Dataset.

Ilias Papastratis, Nikolas Adaloglou, Andreas Stergioulas, Theocharis Chatzis, Georgios Th. Papadopoulos, Vassia Zacharopoulou, George J. Xydopoulos, Klimnis Atzakas, Dimitris Papazachariou, Kosmas Dimitropoulos, Petros Daras

Dataset, July, 2020

The Greek Sign Language (GSL) Dataset.

Ilias Papastratis, Nikolas Adaloglou, Andreas Stergioulas, Theocharis Chatzis, Georgios Th. Papadopoulos, Vassia Zacharopoulou, George J. Xydopoulos, Klimnis Atzakas, Dimitris Papazachariou, Kosmas Dimitropoulos, Petros Daras

Dataset, July, 2020

A Comprehensive Study on Sign Language Recognition Methods.

Nikolas Adaloglou, Theocharis Chatzis, Ilias Papastratis, Andreas Stergioulas, Georgios Th. Papadopoulos, Vassia Zacharopoulou, George J. Xydopoulos, Klimnis Atzakas, Dimitris Papazachariou, Petros Daras

CoRR, 2020

Multi-view Adaptive Graph Convolutions for Graph Classification.

Nikolas Adaloglou, Nicholas Vretos, Petros Daras

Proceedings of the Computer Vision - ECCV 2020, 2020