Ilya Kibardin

Computer Vision and Pattern Recognition · 2018

A researcher in the Science corpus: 1 paper; trusts 10 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 16 citations into it
• Media Technology — 6 citations into it
• Artificial Intelligence — 5 citations into it

Whom Ilya Kibardin trusts overall

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

1. Kaiming He
2. Karen Simonyan
3. Vladimir I. Iglovikov
4. Andrew Zisserman
5. Ross B. Girshick

Papers from Ilya Kibardin's perspective

Ordered by how strongly the researchers Ilya Kibardin 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. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
3. ImageNet classification with deep convolutional neural networks
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. Densely Connected Convolutional Networks
8. Attention is All you Need (Neural Information Processing Systems)
9. Long Short-Term Memory
10. Going deeper with convolutions

Their papers

• Camera Model Identification Using Convolutional Neural Networks (2018) — 28 citations