Beiji Zou

Computer Vision and Pattern Recognition · 2009–2017

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

Subfields

• Computer Vision and Pattern Recognition — 17 citations into it

Whom Beiji Zou trusts overall

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

1. Camillo Jose Taylor
2. Yichen Wei
3. Wangjiang Zhu

Who trusts Beiji Zou overall

1. Jun Liu

Papers from Beiji Zou's perspective

Ordered by how strongly the researchers Beiji Zou 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. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. ImageNet: A large-scale hierarchical image database
6. Going deeper with convolutions
7. Gradient-based learning applied to document recognition
8. Multiresolution Gray-Scale and Rotation Invariant Texture Classification with Local Binary Patterns
9. Long Short-Term Memory
10. Distinctive Image Features from Scale-Invariant Keypoints

Their papers

• A location-to-segmentation strategy for automatic exudate segmentation in colour retinal fundus images (2017) — 91 citations
• Automatic reconstruction of 3D human motion pose from uncalibrated monocular video sequences based on markerless human motion tracking (2009) — 34 citations