Erika Lu

Computer Vision and Pattern Recognition · 2017–2020

A researcher in the Science corpus: 2 papers; trusts 298 researchers and is trusted by 6 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 77 citations into it; #13,146 of 21,575 by trust here, #8,205 by citations
• Artificial Intelligence — 30 citations into it
• Model Architectures — 10 citations into it
• Natural Language Processing — 7 citations into it
• Reinforcement Learning — 7 citations into it

Whom Erika Lu trusts overall

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

1. Kaiming He
2. Geoffrey E. Hinton
3. Yoshua Bengio
4. Alex Krizhevsky
5. Ronald J. Williams
6. Yann LeCun
7. Diederik P. Kingma
8. Ross B. Girshick
9. Andrew Zisserman
10. Karen Simonyan

Who trusts Erika Lu overall

1. Allan Jabri
2. Wenguan Wang
3. Yunzhu Li
4. Yasasa Abeysirigoonawardena
5. Oliver Groth
6. Mengyuan Yan

Papers from Erika Lu's perspective

Ordered by how strongly the researchers Erika Lu 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. 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

• Learning to See Physics via Visual De-animation (2017) — 228 citations
• MAST: A Memory-Augmented Self-Supervised Tracker (2020) — 204 citations