Kevin Musgrave

Computer Vision and Pattern Recognition · 2020

A researcher in the Science corpus: 1 paper; trusts 206 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 43 citations into it
• Artificial Intelligence — 29 citations into it
• Representation & Self-Supervised Learning — 20 citations into it

Whom Kevin Musgrave trusts overall

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

1. Kaiming He
2. Geoffrey E. Hinton
3. Alex Krizhevsky
4. Sergey Ioffe
5. Yann LeCun
6. Yoshua Bengio
7. Christian Szegedy
8. Karen Simonyan
9. Diederik P. Kingma
10. Ilya Sutskever

Who trusts Kevin Musgrave overall

1. Sanghyuk Chun
2. Ruoxi Wang
3. Ruchi Puri
4. Thomas Liao
5. Seong Joon Oh
6. Federico Bianchi
7. Anna Rogers
8. Rakesh Shivanna

Papers from Kevin Musgrave's perspective

Ordered by how strongly the researchers Kevin Musgrave 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. 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. ImageNet Large Scale Visual Recognition Challenge
9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
10. Going deeper with convolutions

Their papers

• A Metric Learning Reality Check (2020) — 537 citations