Murray H. Loew

Computer Vision and Pattern Recognition · 2021

A researcher in the Science corpus: 1 paper; trusts 196 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 34 citations into it
• Artificial Intelligence — 15 citations into it
• Model Architectures — 9 citations into it
• Oncology — 9 citations into it

Whom Murray H. Loew trusts overall

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

1. Kaiming He
2. Geoffrey E. Hinton
3. Deng-Ping Fan
4. Ross B. Girshick
5. Alex Krizhevsky
6. Diederik P. Kingma
7. Yoshua Bengio
8. Evan Shelhamer
9. Yann LeCun
10. Tsung-Yi Lin

Papers from Murray H. Loew's perspective

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

Their papers

• CaraNet: context axial reverse attention network for segmentation of small medical objects (2021) — 299 citations