Shen Sang

Computer Vision and Pattern Recognition · 2020

A researcher in the Science corpus: 2 papers; trusts 39 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 62 citations into it
• Aerospace Engineering — 26 citations into it

Whom Shen Sang trusts overall

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

1. Shuran Song
2. Angel X. Chang
3. Jitendra Malik
4. Kaiming He
5. Ross B. Girshick
6. Geoffrey E. Hinton
7. Jonathan T. Barron
8. Alex Krizhevsky
9. Zhengqi Li
10. Diederik P. Kingma

Papers from Shen Sang's perspective

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

Their papers

• OpenRooms: An Open Framework for Photorealistic Indoor Scene Datasets (2020) — 113 citations
• OpenRooms: An End-to-End Open Framework for Photorealistic Indoor Scene Datasets (2020) — 47 citations