Mingbao Lin

Computer Vision and Pattern Recognition · 2020

A researcher in the Science corpus: 1 paper; trusts 16 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 29 citations into it

Whom Mingbao Lin trusts overall

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

1. Alex Krizhevsky
2. Kaiming He
3. Karen Simonyan
4. Geoffrey E. Hinton
5. Christian Szegedy
6. Andrew Zisserman
7. Ross B. Girshick
8. Yann LeCun
9. X. Zhang
10. Yoshua Bengio

Who trusts Mingbao Lin overall

1. Yang He
2. Kai Han
3. Liyang Liu
4. Lingao Xiao

Papers from Mingbao Lin's perspective

Ordered by how strongly the researchers Mingbao Lin 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. Gradient-based learning applied to document recognition
4. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
5. Going deeper with convolutions
6. ImageNet: A large-scale hierarchical image database
7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
8. Long Short-Term Memory
9. ImageNet Large Scale Visual Recognition Challenge
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• HRank: Filter Pruning Using High-Rank Feature Map (2020) — 899 citations