Shengmei Shen

Computer Vision and Pattern Recognition · 2015–2019

A researcher in the Science corpus: 2 papers; trusts 437 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 72 citations into it
• Artificial Intelligence — 21 citations into it

Whom Shengmei Shen trusts overall

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

1. Ross B. Girshick
2. Piotr Doll'ar
3. Kaiming He
4. Geoffrey E. Hinton
5. Alex Krizhevsky
6. Yann LeCun
7. Yoshua Bengio
8. Paul A. Viola
9. Diederik P. Kingma
10. Navneet Dalal

Who trusts Shengmei Shen overall

1. Zhanchao Huang
2. Markus Braun
3. Chengyang Li
4. Jonathan Shen

Papers from Shengmei Shen's perspective

Ordered by how strongly the researchers Shengmei Shen 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. ImageNet: A large-scale hierarchical image database
5. Gradient-based learning applied to document recognition
6. Long Short-Term Memory
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. ImageNet Large Scale Visual Recognition Challenge
10. Going deeper with convolutions

Their papers

• Cross-Resolution Face Recognition via Prior-Aided Face Hallucination and Residual Knowledge Distillation (2019) — 24 citations
• Scale-Aware Fast R-CNN for Pedestrian Detection (2015) — 837 citations