Halil Ibrahim Aysel

Computer Vision and Pattern Recognition · 2023

A researcher in the Science corpus: 1 paper; trusts 152 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 47 citations into it
• Artificial Intelligence — 23 citations into it
• Generative Models — 8 citations into it
• Model Architectures — 6 citations into it

Whom Halil Ibrahim Aysel trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Kaiming He
2. Geoffrey E. Hinton
3. Alex Krizhevsky
4. Sergey Ioffe
5. Christian Szegedy
6. Yann LeCun
7. Yoshua Bengio
8. Ilya Sutskever
9. Karen Simonyan
10. John F. Canny

Papers from Halil Ibrahim Aysel's perspective

Ordered by how strongly the researchers Halil Ibrahim Aysel trusts endorse each paper. Same corpus, a different order for every researcher.

1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
2. ImageNet classification with deep convolutional neural networks
3. ImageNet: A large-scale hierarchical image database
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
6. Gradient-based learning applied to document recognition
7. Attention is All you Need (Neural Information Processing Systems)
8. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
9. Long Short-Term Memory
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Data Augmentation in Classification and Segmentation: A Survey and New Strategies (2023) — 296 citations