Oyebade K. Oyedotun

According to our database, Oyebade K. Oyedotun authored at least 27 papers between 2016 and 2023.

Collaborative distances:

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

2023

Why Is Everyone Training Very Deep Neural Network With Skip Connections?

Oyebade K. Oyedotun, Kassem Al Ismaeil, Djamila Aouada

IEEE Trans. Neural Networks Learn. Syst., September, 2023

A new perspective for understanding generalization gap of deep neural networks trained with large batch sizes.

Oyebade K. Oyedotun, Konstantinos Papadopoulos, Djamila Aouada

Appl. Intell., June, 2023

Multi-label Image Classification using Adaptive Graph Convolutional Networks: from a Single Domain to Multiple Domains.

Inder Pal Singh, Enjie Ghorbel, Oyebade K. Oyedotun, Djamila Aouada

CoRR, 2023

2022

Multi Label Image Classification using Adaptive Graph Convolutional Networks (ML-AGCN).

Inder Pal Singh, Enjie Ghorbel, Oyebade K. Oyedotun, Djamila Aouada

Proceedings of the 2022 IEEE International Conference on Image Processing, 2022

A Closer Look at Autoencoders for Unsupervised Anomaly Detection.

Oyebade K. Oyedotun, Djamila Aouada

Proceedings of the IEEE International Conference on Acoustics, 2022

2021

Training very deep neural networks: Rethinking the role of skip connections.

Oyebade K. Oyedotun, Kassem Al Ismaeil, Djamila Aouada

Neurocomputing, 2021

SPARK: SPAcecraft Recognition leveraging Knowledge of Space Environment.

Mohamed Adel Musallam, Kassem Al Ismaeil, Oyebade K. Oyedotun, Marcos Damian Perez, Michel Poucet, Djamila Aouada

CoRR, 2021

Deep network compression with teacher latent subspace learning and LASSO.

Oyebade K. Oyedotun, Abd El Rahman Shabayek, Djamila Aouada, Björn E. Ottersten

Appl. Intell., 2021

2020

Analyzing and Improving Very Deep Neural Networks: From Optimization, Generalization to Compression.

Oyebade Kayode Oyedotun

PhD thesis, 2020

Improved Highway Network Block for Training Very Deep Neural Networks.

Oyebade K. Oyedotun, Abd El Rahman Shabayek, Djamila Aouada, Björn E. Ottersten

IEEE Access, 2020

Structured Compression of Deep Neural Networks with Debiased Elastic Group LASSO.

Oyebade K. Oyedotun, Djamila Aouada, Björn E. Ottersten

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2020

Revisiting the Training of Very Deep Neural Networks without Skip Connections.

Oyebade K. Oyedotun, Abd El Rahman Shabayek, Djamila Aouada, Björn E. Ottersten

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

Why Do Deep Neural Networks with Skip Connections and Concatenated Hidden Representations Work?

Oyebade K. Oyedotun, Djamila Aouada

Proceedings of the Neural Information Processing - 27th International Conference, 2020

Going Deeper With Neural Networks Without Skip Connections.

Oyebade K. Oyedotun, Abd El Rahman Shabayek, Djamila Aouada, Björn E. Ottersten

Proceedings of the IEEE International Conference on Image Processing, 2020

DeepVI: A Novel Framework for Learning Deep View-Invariant Human Action Representations using a Single RGB Camera.

Konstantinos Papadopoulos, Enjie Ghorbel, Oyebade K. Oyedotun, Djamila Aouada, Björn E. Ottersten

Proceedings of the 15th IEEE International Conference on Automatic Face and Gesture Recognition, 2020

2019

In-line grading system for mango fruits using GLCM feature extraction and soft-computing techniques.

Ebenezer O. Olaniyi, Oyebade K. Oyedotun, Clement A. Ogunlade, Adnan Khashman

Int. J. Appl. Pattern Recognit., 2019

Learning to Fuse Latent Representations for Multimodal Data.

Oyebade K. Oyedotun, Djamila Aouada, Björn E. Ottersten

Proceedings of the IEEE International Conference on Acoustics, 2019

2018

Prototype-Incorporated Emotional Neural Network.

Oyebade K. Oyedotun, Adnan Khashman

IEEE Trans. Neural Networks Learn. Syst., 2018

Improving the Capacity of Very Deep Networks with Maxout Units.

Oyebade K. Oyedotun, Abd El Rahman Shabayek, Djamila Aouada, Björn E. Ottersten

Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

Highway Network Block With Gates Constraints for Training Very Deep Networks.

Oyebade K. Oyedotun, Abd El Rahman Shabayek, Djamila Aouada, Björn E. Ottersten

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2018

2017

Deep learning in vision-based static hand gesture recognition.

Oyebade K. Oyedotun, Adnan Khashman

Neural Comput. Appl., 2017

A simple and practical review of over-fitting in neural network learning.

Oyebade K. Oyedotun, Ebenezer O. Olaniyi, Adnan Khashman

Int. J. Appl. Pattern Recognit., 2017

Iris nevus diagnosis: convolutional neural network and deep belief network.

Oyebade K. Oyedotun, Adnan Khashman

Turkish J. Electr. Eng. Comput. Sci., 2017

Training Very Deep Networks via Residual Learning with Stochastic Input Shortcut Connections.

Oyebade K. Oyedotun, Abd El Rahman Shabayek, Djamila Aouada, Björn E. Ottersten

Proceedings of the Neural Information Processing - 24th International Conference, 2017

Facial Expression Recognition via Joint Deep Learning of RGB-Depth Map Latent Representations.

Oyebade K. Oyedotun, Girum G. Demisse, Abd El Rahman Shabayek, Djamila Aouada, Björn E. Ottersten

Proceedings of the 2017 IEEE International Conference on Computer Vision Workshops, 2017

STARR - Decision SupporT and self-mAnagement system for stRoke survivoRs Vision based Rehabilitation System.

Abd El Rahman Shabayek, Renato Baptista, Konstantinos Papadopoulos, Girum G. Demisse, Oyebade K. Oyedotun, Michel Antunes, Djamila Aouada, Björn E. Ottersten, Margarita Anastassova, Mehdi Boukallel, Sabrina A. Panëels, Gary Randall, Mathilde André, Alice Douchet, Stéphane Bouilland, Leire Ortiz-Fernández

Proceedings of the European Project Space on Networks, 2017

2016

Document segmentation using textural features summarization and feedforward neural network.

Oyebade K. Oyedotun, Adnan Khashman

Appl. Intell., 2016