Shouyi Liao

Computer Vision and Pattern Recognition · 2016

A researcher in the Science corpus: 1 paper; trusts 21 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 18 citations into it
• Media Technology — 8 citations into it

Whom Shouyi Liao trusts overall

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

1. Yi Yang
2. Shawn D. Newsam
3. Anil M. Cheriyadat

Papers from Shouyi Liao's perspective

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

Their papers

• Scene-Level Geographic Image Classification Based on a Covariance Descriptor Using Supervised Collaborative Kernel Coding (2016) — 6 citations