Lingjun Zhao

Computer Vision and Pattern Recognition · 2009–2012

A researcher in the Science corpus: 2 papers; trusts 23 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 16 citations into it

Whom Lingjun Zhao trusts overall

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

1. Jianguo Zhang
2. Manik Varma
3. Cordelia Schmid
4. Svetlana Lazebnik
5. Matti Pietikäinen
6. Thomas K. Leung
7. Xiaoyang Tan
8. Andrew Zisserman
9. Timo Ojala
10. Barbara Caputo

Who trusts Lingjun Zhao overall

1. Li Liu

Papers from Lingjun Zhao's perspective

Ordered by how strongly the researchers Lingjun Zhao 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. ImageNet: A large-scale hierarchical image database
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. ImageNet Large Scale Visual Recognition Challenge
7. Long Short-Term Memory
8. Learning Multiple Layers of Features from Tiny Images
9. Going deeper with convolutions
10. Attention is All you Need (Neural Information Processing Systems)

Their papers

• Extended local binary patterns for texture classification (2012) — 339 citations
• An Adaptive and Fast CFAR Algorithm Based on Automatic Censoring for Target Detection in High-Resolution SAR Images (2009) — 334 citations