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ORCIDOyebade K. Oyedotun
Person information
- affiliation: University of Luxembourg, Luxembourg City, Luxembourg
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2020 – today
- 2024
[j12]Inder Pal Singh
, Enjie Ghorbel, Oyebade Kayode Oyedotun, Djamila Aouada:
Multi-label image classification using adaptive graph convolutional networks: From a single domain to multiple domains. Comput. Vis. Image Underst. 247: 104062 (2024)- 2023
- [j11]Oyebade K. Oyedotun, Konstantinos Papadopoulos, Djamila Aouada:
A new perspective for understanding generalization gap of deep neural networks trained with large batch sizes. Appl. Intell. 53(12): 15621-15637 (2023) - [j10]Oyebade K. Oyedotun, Kassem Al Ismaeil, Djamila Aouada:
Why Is Everyone Training Very Deep Neural Network With Skip Connections? IEEE Trans. Neural Networks Learn. Syst. 34(9): 5961-5975 (2023) - [i3]Inder Pal Singh, Enjie Ghorbel, Oyebade K. Oyedotun, Djamila Aouada:
Multi-label Image Classification using Adaptive Graph Convolutional Networks: from a Single Domain to Multiple Domains. CoRR abs/2301.04494 (2023) - 2022
- [c13]Oyebade K. Oyedotun, Djamila Aouada:
A Closer Look at Autoencoders for Unsupervised Anomaly Detection. ICASSP 2022: 3793-3797 - [c12]Inder Pal Singh, Enjie Ghorbel, Oyebade K. Oyedotun, Djamila Aouada:
Multi Label Image Classification using Adaptive Graph Convolutional Networks (ML-AGCN). ICIP 2022: 1806-1810 - [i2]Oyebade K. Oyedotun, Konstantinos Papadopoulos, Djamila Aouada:
A New Perspective for Understanding Generalization Gap of Deep Neural Networks Trained with Large Batch Sizes. CoRR abs/2210.12184 (2022) - 2021
- [j9]Oyebade K. Oyedotun, Abd El Rahman Shabayek, Djamila Aouada, Björn E. Ottersten:
Deep network compression with teacher latent subspace learning and LASSO. Appl. Intell. 51(2): 834-853 (2021) - [j8]Oyebade K. Oyedotun, Kassem Al Ismaeil, Djamila Aouada:
Training very deep neural networks: Rethinking the role of skip connections. Neurocomputing 441: 105-117 (2021) - [i1]Mohamed Adel Musallam, Kassem Al Ismaeil, Oyebade K. Oyedotun, Marcos Damian Perez, Michel Poucet, Djamila Aouada:
SPARK: SPAcecraft Recognition leveraging Knowledge of Space Environment. CoRR abs/2104.05978 (2021) - 2020
- [b1]Oyebade Kayode Oyedotun:
Analyzing and Improving Very Deep Neural Networks: From Optimization, Generalization to Compression. University of Luxembourg, Luxembourg City, Luxembourg, 2020 - [j7]Oyebade K. Oyedotun, Abd El Rahman Shabayek, Djamila Aouada, Björn E. Ottersten:
Improved Highway Network Block for Training Very Deep Neural Networks. IEEE Access 8: 176758-176773 (2020) - [c11]Konstantinos Papadopoulos, Enjie Ghorbel, Oyebade K. Oyedotun, Djamila Aouada, Björn E. Ottersten:
DeepVI: A Novel Framework for Learning Deep View-Invariant Human Action Representations using a Single RGB Camera. FG 2020: 138-145 - [c10]Oyebade K. Oyedotun, Abd El Rahman Shabayek, Djamila Aouada, Björn E. Ottersten:
Going Deeper With Neural Networks Without Skip Connections. ICIP 2020: 1756-1760 - [c9]Oyebade K. Oyedotun, Djamila Aouada:
Why Do Deep Neural Networks with Skip Connections and Concatenated Hidden Representations Work? ICONIP (3) 2020: 380-392 - [c8]Oyebade K. Oyedotun, Abd El Rahman Shabayek, Djamila Aouada, Björn E. Ottersten:
Revisiting the Training of Very Deep Neural Networks without Skip Connections. ICPR 2020: 2724-2731 - [c7]Oyebade K. Oyedotun, Djamila Aouada, Björn E. Ottersten:
Structured Compression of Deep Neural Networks with Debiased Elastic Group LASSO. WACV 2020: 2266-2275
2010 – 2019
- 2019
- [j6]Ebenezer O. Olaniyi, Oyebade K. Oyedotun, Clement A. Ogunlade, Adnan Khashman:
In-line grading system for mango fruits using GLCM feature extraction and soft-computing techniques. Int. J. Appl. Pattern Recognit. 6(1): 58-75 (2019) - [c6]Oyebade K. Oyedotun, Djamila Aouada, Björn E. Ottersten:
Learning to Fuse Latent Representations for Multimodal Data. ICASSP 2019: 3122-3126 - 2018
- [j5]Oyebade K. Oyedotun, Adnan Khashman:
Prototype-Incorporated Emotional Neural Network. IEEE Trans. Neural Networks Learn. Syst. 29(8): 3560-3572 (2018) - [c5]Oyebade K. Oyedotun, Abd El Rahman Shabayek, Djamila Aouada, Björn E. Ottersten:
Highway Network Block With Gates Constraints for Training Very Deep Networks. CVPR Workshops 2018: 1658-1667 - [c4]Oyebade K. Oyedotun, Abd El Rahman Shabayek, Djamila Aouada, Björn E. Ottersten:
Improving the Capacity of Very Deep Networks with Maxout Units. ICASSP 2018: 2971-2975 - 2017
- [j4]Oyebade K. Oyedotun, Adnan Khashman:
Iris nevus diagnosis: convolutional neural network and deep belief network. Turkish J. Electr. Eng. Comput. Sci. 25: 1106-1115 (2017) - [j3]Oyebade K. Oyedotun, Ebenezer O. Olaniyi, Adnan Khashman:
A simple and practical review of over-fitting in neural network learning. Int. J. Appl. Pattern Recognit. 4(4): 307-328 (2017) - [j2]Oyebade K. Oyedotun, Adnan Khashman:
Deep learning in vision-based static hand gesture recognition. Neural Comput. Appl. 28(12): 3941-3951 (2017) - [c3]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:
STARR - Decision SupporT and self-mAnagement system for stRoke survivoRs Vision based Rehabilitation System. EPS 2017 - [c2]Oyebade K. Oyedotun, Girum G. Demisse, Abd El Rahman Shabayek, Djamila Aouada, Björn E. Ottersten:
Facial Expression Recognition via Joint Deep Learning of RGB-Depth Map Latent Representations. ICCV Workshops 2017: 3161-3168 - [c1]Oyebade K. Oyedotun, Abd El Rahman Shabayek, Djamila Aouada, Björn E. Ottersten:
Training Very Deep Networks via Residual Learning with Stochastic Input Shortcut Connections. ICONIP (2) 2017: 23-33 - 2016
- [j1]Oyebade K. Oyedotun, Adnan Khashman:
Document segmentation using textural features summarization and feedforward neural network. Appl. Intell. 45(1): 198-212 (2016)
Coauthor Index
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