Lei Shi

Computer Vision and Pattern Recognition · with Kodagoda · 2015

A researcher in the Science corpus: 1 paper; trusts 49 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 19 citations into it; #19,968 of 21,575 by trust here, #20,271 by citations

Whom Lei Shi trusts overall

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

1. Alex Krizhevsky
2. Geoffrey E. Hinton
3. Ross B. Girshick
4. Evan Shelhamer

Who trusts Lei Shi overall

1. Lei Tai

Papers from Lei Shi's perspective

Ordered by how strongly the researchers Lei Shi 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. ImageNet: A large-scale hierarchical image database
6. Long Short-Term Memory
7. Attention is All you Need (Neural Information Processing Systems)
8. ImageNet Large Scale Visual Recognition Challenge
9. Fully convolutional networks for semantic segmentation
10. Going deeper with convolutions

Their papers

• Understand scene categories by objects: A semantic regularized scene classifier using Convolutional Neural Networks (2015) — 111 citations