Lei Xiang

Computer Vision and Pattern Recognition · with Dong · 2020

A researcher in the Science corpus: 1 paper; trusts 43 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 39 citations into it
• Media Technology — 16 citations into it

Whom Lei Xiang trusts overall

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

1. Diederik P. Kingma
2. Kaiming He
3. Raanan Fattal
4. Ross B. Girshick
5. Geoffrey E. Hinton
6. Alex Krizhevsky
7. Robby T. Tan
8. Mohinder Malhotra
9. Peyman Milanfar
10. Jimmy Ba

Papers from Lei Xiang's perspective

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

Their papers

• Multi-Scale Boosted Dehazing Network With Dense Feature Fusion (2020) — 1,022 citations