T. Grigoryev

Computer Vision and Pattern Recognition · 2022

A researcher in the Science corpus: 1 paper; trusts 135 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 25 citations into it; #16,116 of 21,575 by trust here, #21,103 by citations
• Generative Models — 17 citations into it; #1,511 of 1,956 by trust here, #1,946 by citations
• Artificial Intelligence — 11 citations into it; #26,346 of 35,345 by trust here, #34,213 by citations
• Representation & Self-Supervised Learning — 6 citations into it

Whom T. Grigoryev trusts overall

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

1. Tero Karras
2. Kaiming He
3. Geoffrey E. Hinton
4. Alex Krizhevsky
5. Diederik P. Kingma
6. Ross B. Girshick
7. Yoshua Bengio
8. Yann LeCun
9. Ian J. Goodfellow
10. Karen Simonyan

Who trusts T. Grigoryev overall

1. Axel Sauer
2. Katja Schwarz
3. Dominik Lorenz

Papers from T. Grigoryev's perspective

Ordered by how strongly the researchers T. Grigoryev 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. ImageNet: A large-scale hierarchical image database
5. Gradient-based learning applied to document recognition
6. Attention is All you Need (Neural Information Processing Systems)
7. Long Short-Term Memory
8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
9. ImageNet Large Scale Visual Recognition Challenge
10. Going deeper with convolutions

Their papers

• When, Why, and Which Pretrained GANs Are Useful? (2022) — 25 citations