Semon Rezchikov

Computer Vision and Pattern Recognition · 2021

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 32 citations into it

Whom Semon Rezchikov trusts overall

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

1. Vincent Sitzmann
2. Eric Chan
3. Michael Niemeyer
4. David R Ha
5. Hiroharu Kato
6. Matthew Tancik
7. Alex Yu
8. Diederik P. Kingma
9. Geoffrey E. Hinton
10. Ben Mildenhall

Who trusts Semon Rezchikov overall

1. Yinghao Xu

Papers from Semon Rezchikov's perspective

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

Their papers

• Light Field Networks: Neural Scene Representations with Single-Evaluation Rendering (2021) — 404 citations