Zhanjie Song

Computer Vision and Pattern Recognition · 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 — 27 citations into it
• Artificial Intelligence — 22 citations into it
• Biomedical Engineering — 5 citations into it

Whom Zhanjie Song trusts overall

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

1. Michael S. Ryoo
2. Diederik P. Kingma
3. Michael L. Littman

Papers from Zhanjie Song's perspective

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

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

Their papers

• Part-Activated Deep Reinforcement Learning for Action Prediction (2018) — 50 citations