Halil Murat Ünver

Computer Vision and Pattern Recognition · 2019

A researcher in the Science corpus: 1 paper; trusts 66 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 14 citations into it
• Artificial Intelligence — 11 citations into it
• Model Architectures — 6 citations into it
• Radiology, Nuclear Medicine and Imaging — 6 citations into it

Whom Halil Murat Ünver trusts overall

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

1. François Chollet
2. Karen Simonyan
3. Christian Szegedy
4. Alex Krizhevsky
5. Geoffrey E. Hinton
6. Yoshua Bengio
7. Andrew Zisserman
8. Kaiming He
9. Gao Huang
10. Yann LeCun

Papers from Halil Murat Ünver's perspective

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

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

Their papers

• Diagnosis of Pneumonia from Chest X-Ray Images Using Deep Learning (2019) — 315 citations