Liman Liu

Computer Vision and Pattern Recognition · 2019

A researcher in the Science corpus: 1 paper; trusts 181 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 39 citations into it
• Artificial Intelligence — 21 citations into it

Whom Liman Liu trusts overall

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

1. Ross B. Girshick
2. Kaiming He
3. Alex Krizhevsky
4. Tsung-Yi Lin
5. Geoffrey E. Hinton
6. Shaoqing Ren
7. Piotr Doll'ar
8. Karen Simonyan
9. Andrew Zisserman
10. Jia Deng

Papers from Liman Liu's perspective

Ordered by how strongly the researchers Liman Liu trusts endorse each paper. Same corpus, a different order for every researcher.

1. ImageNet classification with deep convolutional neural networks
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. Going deeper with convolutions
4. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
5. ImageNet: A large-scale hierarchical image database
6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
7. Gradient-based learning applied to document recognition
8. Attention is All you Need (Neural Information Processing Systems)
9. Long Short-Term Memory
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• IoU-uniform R-CNN: Breaking Through the Limitations of RPN (2019) — 58 citations