Ange Lou

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 Ange Lou trusts overall

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

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

Papers from Ange Lou's perspective

Ordered by how strongly the researchers Ange Lou 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. Gradient-based learning applied to document recognition
7. Long Short-Term Memory
8. Going deeper with convolutions
9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

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