Haodong Li

Computer Vision and Pattern Recognition · 1 papers · 2018

A researcher in the Science corpus: 1 paper; trusts 24 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 15 citations into it
• Generative Models — 11 citations into it
• Artificial Intelligence — 6 citations into it

Whom Haodong Li trusts overall

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

1. Thorsten Joachims
2. Christian Szegedy
3. Sergey Ioffe
4. Karen Simonyan
5. Individualized Treat
6. Alec Radford
7. Geoffrey E. Hinton
8. Andrew Zisserman
9. Alex Krizhevsky
10. Tim Salimans

Papers from Haodong Li's perspective

Ordered by how strongly the researchers Haodong Li 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Gradient-based learning applied to document recognition
5. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
6. Attention is All you Need (Neural Information Processing Systems)
7. Long Short-Term Memory
8. ImageNet: A large-scale hierarchical image database
9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Can Forensic Detectors Identify GAN Generated Images? (2018) — 23 citations