Fatih Cagatay Akyon

Computer Vision and Pattern Recognition · 2022

A researcher in the Science corpus: 1 paper; trusts 130 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 16 citations into it
• Artificial Intelligence — 6 citations into it

Whom Fatih Cagatay Akyon trusts overall

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

1. Ross B. Girshick
2. Tsung-Yi Lin
3. Kaiming He
4. Shaoqing Ren
5. Jia Deng
6. Geoffrey E. Hinton
7. Alex Krizhevsky
8. Zhaowei Cai
9. Piotr Doll'ar
10. Yann LeCun

Papers from Fatih Cagatay Akyon's perspective

Ordered by how strongly the researchers Fatih Cagatay Akyon 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. Gradient-based learning applied to document recognition
6. Attention is All you Need (Neural Information Processing Systems)
7. Long Short-Term Memory
8. ImageNet Large Scale Visual Recognition Challenge
9. Going deeper with convolutions
10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers

• Slicing Aided Hyper Inference and Fine-Tuning for Small Object Detection (2022) — 459 citations