Min Liu

Computer Vision and Pattern Recognition · with Choi · 2018

A researcher in the Science corpus: 1 paper; trusts 20 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 21 citations into it
• Computational Mechanics — 17 citations into it
• Computer Graphics and Computer-Aided Design — 7 citations into it

Whom Min Liu trusts overall

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

1. Ayan Sinha
2. Shuran Song
3. Geoffrey E. Hinton
4. Yann LeCun
5. Daniel Maturana
6. Song Bai
7. Emil Praun
8. Alex Krizhevsky
9. Wouter Boomsma
10. Joan Bruna

Who trusts Min Liu overall

1. Taco Cohen
2. Congyue Deng
3. Maurice Weiler

Papers from Min Liu's perspective

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

Their papers

• Deep Learning 3D Shapes Using Alt-az Anisotropic 2-Sphere Convolution (2018) — 45 citations