Mikhail Figurnov

Computer Vision and Pattern Recognition · 2015

A researcher in the Science corpus: 1 paper; trusts 105 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 25 citations into it
• Artificial Intelligence — 16 citations into it
• Efficiency & Compression — 16 citations into it; #1,239 of 1,264 by trust here, #880 by citations
• Model Architectures — 11 citations into it; #2,214 of 2,278 by trust here, #1,548 by citations

Whom Mikhail Figurnov trusts overall

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

1. Alex Krizhevsky
2. Karen Simonyan
3. X. Zhang
4. Kaiming He
5. Geoffrey E. Hinton
6. Andrea Vedaldi
7. Benjamin Graham
8. Andrew Zisserman
9. Ilya Sutskever
10. Yoshua Bengio

Who trusts Mikhail Figurnov overall

1. Shuxuan Guo
2. Oran Gafni
3. Xuanyi Dong
4. Kirill Neklyudov
5. Zhenda Xie
6. Pavlo Molchanov
7. Xitong Gao
8. Sam Leroux
9. Michael Figurnov
10. Ruichi Yu

Papers from Mikhail Figurnov's perspective

Ordered by how strongly the researchers Mikhail Figurnov 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. ImageNet: A large-scale hierarchical image database
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Gradient-based learning applied to document recognition
6. Long Short-Term Memory
7. Attention is All you Need (Neural Information Processing Systems)
8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
9. Learning Multiple Layers of Features from Tiny Images
10. Going deeper with convolutions

Their papers

• PerforatedCNNs: Acceleration through Elimination of Redundant Convolutions (2015) — 140 citations