Andrew Liu

Computer Vision and Pattern Recognition · with Efros · 2018

A researcher in the Science corpus: 1 paper; trusts 173 researchers and is trusted by 6 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 30 citations into it; #12,087 of 21,575 by trust here, #12,419 by citations
• Artificial Intelligence — 8 citations into it; #19,487 of 35,345 by trust here, #18,586 by citations
• Representation & Self-Supervised Learning — 6 citations into it
• Media Technology — 5 citations into it

Whom Andrew Liu trusts overall

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

1. Alexei A. Efros
2. Kaiming He
3. Geoffrey E. Hinton
4. Diederik P. Kingma
5. Jitendra Malik
6. Alex Krizhevsky
7. Jia Deng
8. Ross B. Girshick
9. Yoshua Bengio
10. Hany Farid

Who trusts Andrew Liu overall

1. Davide Cozzolino
2. Luisa Verdoliva
3. Sheng-Yu Wang
4. Falko Matern
5. Yue Wu
6. Tsu-Jui Fu
7. Oliver Wang
8. Shivangi Singhal

Papers from Andrew Liu's perspective

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

Their papers

• Fighting Fake News: Image Splice Detection via Learned Self-Consistency (2018) — 473 citations