Kerem Can Tezcan

Computer Vision and Pattern Recognition · 2017

A researcher in the Science corpus: 1 paper; trusts 70 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 32 citations into it
• Artificial Intelligence — 22 citations into it
• Generative Models — 10 citations into it

Whom Kerem Can Tezcan trusts overall

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

1. Diederik P. Kingma
2. Geoffrey E. Hinton
3. Jimmy Ba
4. Karen Simonyan
5. Alex Krizhevsky
6. Yann LeCun
7. Ender Konukoglu
8. Yoshua Bengio
9. Kaiming He
10. Andrew Zisserman

Papers from Kerem Can Tezcan's perspective

Ordered by how strongly the researchers Kerem Can Tezcan 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Gradient-based learning applied to document recognition
5. GENERATIVE ADVERSARIAL NETS
6. Attention is All you Need (Neural Information Processing Systems)
7. ImageNet: A large-scale hierarchical image database
8. Long Short-Term Memory
9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Visual Feature Attribution Using Wasserstein GANs (2017) — 158 citations