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Nikolas Adaloglou
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2020 – today
- 2024
- [j2]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) - [i7]Nikolas Adaloglou, Tim Kaiser, Felix Michels, Markus Kollmann:
Rethinking cluster-conditioned diffusion models. CoRR abs/2403.00570 (2024) - [i6]Nikolas Adaloglou, Felix Michels, Kaspar Senft, Diana Petrusheva, Markus Kollmann:
Scaling Up Deep Clustering Methods Beyond ImageNet-1K. CoRR abs/2406.01203 (2024) - 2023
- [c3]Nikolas Adaloglou, Felix Michels, Hamza Kalisch, Markus Kollmann:
Exploring the Limits of Deep Image Clustering using Pretrained Models. BMVC 2023: 297-299 - [i5]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) - [i4]Nikolas Adaloglou, Felix Michels, Hamza Kalisch, Markus Kollmann:
Exploring the Limits of Deep Image Clustering using Pretrained Models. CoRR abs/2303.17896 (2023) - 2022
- [j1]Nikolas Adaloglou, Theocharis Chatzis, Ilias Papastratis, Andreas Stergioulas, Georgios Th. Papadopoulos, Vassia Zacharopoulou, George J. Xydopoulos, Klimnis Atzakas, Dimitris Papazachariou, Petros Daras:
A Comprehensive Study on Deep Learning-Based Methods for Sign Language Recognition. IEEE Trans. Multim. 24: 1750-1762 (2022) - [c2]Nima Rafiee, Rahil Gholamipoor, Nikolas Adaloglou, Simon Jaxy, Julius Ramakers, Markus Kollmann:
Self-supervised Anomaly Detection by Self-distillation and Negative Sampling. ICANN (4) 2022: 459-470 - [i3]Nima Rafiee, Rahil Gholamipoorfard, Nikolas Adaloglou, Simon Jaxy, Julius Ramakers, Markus Kollmann:
Self-Supervised Anomaly Detection by Self-Distillation and Negative Sampling. CoRR abs/2201.06378 (2022) - 2020
- [c1]Nikolas Adaloglou, Nicholas Vretos, Petros Daras:
Multi-view Adaptive Graph Convolutions for Graph Classification. ECCV (26) 2020: 398-414 - [d2]Ilias Papastratis, Nikolas Adaloglou, Andreas Stergioulas, Theocharis Chatzis, Georgios Th. Papadopoulos, Vassia Zacharopoulou, George J. Xydopoulos, Klimnis Atzakas, Dimitris Papazachariou, Kosmas Dimitropoulos, Petros Daras:
The Greek Sign Language (GSL) Dataset. Version 1. Zenodo, 2020 [all versions] - [d1]Ilias Papastratis, Nikolas Adaloglou, Andreas Stergioulas, Theocharis Chatzis, Georgios Th. Papadopoulos, Vassia Zacharopoulou, George J. Xydopoulos, Klimnis Atzakas, Dimitris Papazachariou, Kosmas Dimitropoulos, Petros Daras:
The Greek Sign Language (GSL) Dataset. Version 2. Zenodo, 2020 [all versions] - [i2]Nikolas Adaloglou, Nicholas Vretos, Petros Daras:
Multi-view adaptive graph convolutions for graph classification. CoRR abs/2007.12450 (2020) - [i1]Nikolas Adaloglou, Theocharis Chatzis, Ilias Papastratis, Andreas Stergioulas, Georgios Th. Papadopoulos, Vassia Zacharopoulou, George J. Xydopoulos, Klimnis Atzakas, Dimitris Papazachariou, Petros Daras:
A Comprehensive Study on Sign Language Recognition Methods. CoRR abs/2007.12530 (2020)
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