Ling Luo

Computer Vision and Pattern Recognition · with Gryaditskaya · 2020

A researcher in the Science corpus: 1 paper; trusts 7 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 15 citations into it
• Computational Mechanics — 9 citations into it
• Aerospace Engineering — 6 citations into it

Whom Ling Luo trusts overall

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

1. Charles Ruizhongtai Qi
2. Hao Su
3. Karen Simonyan
4. Andrew Zisserman
5. Leonidas J. Guibas
6. Haoqiang Fan
7. Fang Wang
8. Hang Su
9. Geoffrey E. Hinton
10. Alex Krizhevsky

Papers from Ling Luo's perspective

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

Their papers

• Towards 3D VR-Sketch to 3D Shape Retrieval (2020) — 17 citations