cCaugkan Yapar

Computer Vision and Pattern Recognition · 2019

A researcher in the Science corpus: 1 paper; trusts 11 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 13 citations into it
• Artificial Intelligence — 10 citations into it

Whom cCaugkan Yapar trusts overall

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

1. Diederik P. Kingma
2. Yann LeCun
3. Evan Shelhamer
4. Yoshua Bengio
5. Olaf Ronneberger
6. Michaël Mathieu
7. Jimmy Ba
8. Geoffrey E. Hinton
9. Vijay Badrinarayanan
10. Fausto Milletarì

Papers from cCaugkan Yapar's perspective

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

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

Their papers

• RadioUNet: Fast Radio Map Estimation With Convolutional Neural Networks (2019) — 494 citations