Rui Song

Computer Vision and Pattern Recognition · with Li · 2017–2022

A researcher in the Science corpus: 2 papers; trusts 79 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 55 citations into it
• Artificial Intelligence — 31 citations into it

Whom Rui Song trusts overall

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

1. Diederik P. Kingma
2. Yann LeCun
3. Gerald Schaefer
4. Geoffrey E. Hinton
5. Jimmy Ba
6. Yoshua Bengio
7. L. Eon Bottou
8. Alex Krizhevsky
9. Kaiming He
10. George Toderici

Who trusts Rui Song overall

1. Guo Lu
2. Siwei Ma

Papers from Rui Song's perspective

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

Their papers

• Neural network-based arithmetic coding of intra prediction modes in HEVC (2017) — 78 citations
• CLIP-ViP: Adapting Pre-trained Image-Text Model to Video-Language Alignment (2022) — 115 citations