Eugene Khvedchenya

Computer Vision and Pattern Recognition · 2018

A researcher in the Science corpus: 1 paper; trusts 37 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 52 citations into it; #19,124 of 21,575 by trust here, #10,154 by citations
• Artificial Intelligence — 35 citations into it
• Media Technology — 10 citations into it

Whom Eugene Khvedchenya trusts overall

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

1. Alex Krizhevsky
2. Vladimir I. Iglovikov
3. Geoffrey E. Hinton
4. Yann LeCun
5. Yoshua Bengio
6. Ilya Sutskever
7. Kaiming He
8. Jia Deng
9. Ross B. Girshick
10. Diederik P. Kingma

Who trusts Eugene Khvedchenya overall

1. Sergey I. Nikolenko

Papers from Eugene Khvedchenya's perspective

Ordered by how strongly the researchers Eugene Khvedchenya 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. Gradient-based learning applied to document recognition
4. ImageNet: A large-scale hierarchical image database
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
7. Attention is All you Need (Neural Information Processing Systems)
8. Long Short-Term Memory
9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Albumentations: fast and flexible image augmentations (2018) — 2,644 citations