Lihong Wan

Computer Vision and Pattern Recognition · 2017

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 19 citations into it

Whom Lihong Wan trusts overall

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

1. Matthew A. Turk
2. Peter N. Belhumeur
3. M. Bartlett
4. Jian Yang
5. Alex Pentland
6. João Pedra Hespanha
7. Javier R. Movellan
8. David Dapeng Zhang

Papers from Lihong Wan's perspective

Ordered by how strongly the researchers Lihong Wan trusts endorse each paper. Same corpus, a different order for every researcher.

1. ImageNet classification with deep convolutional neural networks
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. Gradient-based learning applied to document recognition
4. ImageNet: A large-scale hierarchical image database
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Going deeper with convolutions
7. Learning Multiple Layers of Features from Tiny Images
8. Attention is All you Need (Neural Information Processing Systems)
9. ImageNet Large Scale Visual Recognition Challenge
10. Long Short-Term Memory

Their papers

• Face Recognition with Convolutional Neural Networks and subspace learning (2017) — 29 citations