Michalis Lazarou

According to our database, Michalis Lazarou authored at least 10 papers between 2020 and 2024.

Collaborative distances:

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

2024

Adaptive manifold for imbalanced transductive few-shot learning.

Michalis Lazarou, Yannis Avrithis, Tania Stathaki

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

Image Edge Enhancement for Effective Image Classification.

Tianhao Bu, Michalis Lazarou, Tania Stathaki

Proceedings of the 19th International Joint Conference on Computer Vision, 2024

2023

Adaptive Anchor Label Propagation for Transductive Few-Shot Learning.

Michalis Lazarou, Yannis Avrithis, Guangyu Ren, Tania Stathaki

Proceedings of the IEEE International Conference on Image Processing, 2023

Towards Automated Polyp Segmentation Using Weakly- and Semi-Supervised Learning and Deformable Transformers.

Guangyu Ren, Michalis Lazarou, Jing Yuan, Tania Stathaki

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

Tensor feature hallucination for few-shot learning.

Michalis Lazarou, Tania Stathaki, Yannis Avrithis

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2022

2021

A novel shape matching descriptor for real-time static hand gesture recognition.

Michalis Lazarou, Bo Li, Tania Stathaki

Comput. Vis. Image Underst., 2021

Few-shot learning via tensor hallucination.

Michalis Lazarou, Yannis Avrithis, Tania Stathaki

CoRR, 2021

A novel shape matching descriptor for real-time hand gesture recognition.

Michalis Lazarou, Bo Li, Tania Stathaki

CoRR, 2021

Iterative label cleaning for transductive and semi-supervised few-shot learning.

Michalis Lazarou, Tania Stathaki, Yannis Avrithis

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

2020

GENNI: Visualising the Geometry of Equivalences for Neural Network Identifiability.

Daniel Lengyel, Janith C. Petangoda, Isak Falk, Kate Highnam, Michalis Lazarou, Arinbjörn Kolbeinsson, Marc Peter Deisenroth, Nicholas R. Jennings

CoRR, 2020