Mei Han

Computer Vision and Pattern Recognition · with Li · 2017

A researcher in the Science corpus: 1 paper; trusts 26 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 22 citations into it
• Artificial Intelligence — 18 citations into it
• Evaluation & Benchmarks — 5 citations into it

Whom Mei Han trusts overall

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

1. Kaiming He
2. Ross B. Girshick
3. Diederik P. Kingma
4. X. Zhang
5. Geoffrey E. Hinton
6. Shaoqing Ren
7. Alex Krizhevsky
8. Yoshua Bengio
9. Christian Szegedy
10. Matthew D. Zeiler

Papers from Mei Han's perspective

Ordered by how strongly the researchers Mei Han 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. Going deeper with convolutions
6. Gradient-based learning applied to document recognition
7. Long Short-Term Memory
8. Attention is All you Need (Neural Information Processing Systems)
9. Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Thoracic Disease Identification and Localization with Limited Supervision (2017) — 364 citations