Theodoros Georgiou

According to our database, Theodoros Georgiou authored at least 12 papers between 2018 and 2023.

Collaborative distances:

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

2023

Deep Learning for Instance Retrieval: A Survey.

Wei Chen, Yu Liu, Weiping Wang, Erwin M. Bakker, Theodoros Georgiou, Paul W. Fieguth, Li Liu, Michael S. Lew

IEEE Trans. Pattern Anal. Mach. Intell., June, 2023

2021

Preprint: Norm Loss: An efficient yet effective regularization method for deep neural networks.

Theodoros Georgiou, Sebastian Schmitt, Thomas Bäck, Wei Chen, Michael S. Lew

CoRR, 2021

PREPRINT: Comparison of deep learning and hand crafted features for mining simulation data.

Theodoros Georgiou, Sebastian Schmitt, Thomas Bäck, Nan Pu, Wei Chen, Michael S. Lew

CoRR, 2021

Deep Image Retrieval: A Survey.

Wei Chen, Yu Liu, Weiping Wang, Erwin M. Bakker, Theodoros Georgiou, Paul W. Fieguth, Li Liu, Michael S. Lew

CoRR, 2021

2020

A survey of traditional and deep learning-based feature descriptors for high dimensional data in computer vision.

Theodoros Georgiou, Yu Liu, Wei Chen, Michael S. Lew

Int. J. Multim. Inf. Retr., 2020

Comparison of deep learning and hand crafted features for mining simulation data.

Theodoros Georgiou, Sebastian Schmitt, Thomas Bäck, Nan Pu, Wei Chen, Michael S. Lew

Proceedings of the 25th International Conference on Pattern Recognition, 2020

Norm Loss: An efficient yet effective regularization method for deep neural networks.

Theodoros Georgiou, Sebastian Schmitt, Thomas Bäck, Wei Chen, Michael S. Lew

Proceedings of the 25th International Conference on Pattern Recognition, 2020

2019

Learning a Domain-Invariant Embedding for Unsupervised Person Re-identification.

Nan Pu, T. K. Georgiou, Erwin M. Bakker, Michael S. Lew

Proceedings of the International Joint Conference on Neural Networks, 2019

A Comparison of CNN and Classic Features for Image Retrieval.

Umut Özaydin, Theodoros Georgiou, Michael S. Lew

Proceedings of the 2019 International Conference on Content-Based Multimedia Indexing, 2019

2018

Fusion that matters: convolutional fusion networks for visual recognition.

Yu Liu, Yanming Guo, Theodoros Georgiou, Michael S. Lew

Multim. Tools Appl., 2018

A review of semantic segmentation using deep neural networks.

Yanming Guo, Yu Liu, Theodoros Georgiou, Michael S. Lew

Int. J. Multim. Inf. Retr., 2018

Learning Fluid Flows.

Theodoros Georgiou, Sebastian Schmitt, Markus Olhofer, Yu Liu, Thomas Bäck, Michael S. Lew

Proceedings of the 2018 International Joint Conference on Neural Networks, 2018