Zhongyi Han

Computer Vision and Pattern Recognition · 2017–2018

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 — 33 citations into it
• Model Architectures — 6 citations into it

Whom Zhongyi Han trusts overall

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

1. Kunihiko Fukushima
2. Fabio Alexandre Spanhol
3. David H. Hubel
4. Johan A. K. Suykens
5. David G. Lowe
6. Luiz Oliveira
7. G. Fiquet
8. Ross B. Girshick
9. Wenlu Zhang
10. Jens Kleesiek

Who trusts Zhongyi Han overall

1. Md. Zahangir Alom
2. Ghulam Murtaza
3. Arvid Lundervold

Papers from Zhongyi Han's perspective

Ordered by how strongly the researchers Zhongyi Han 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. ImageNet: A large-scale hierarchical image database
5. Going deeper with convolutions
6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
7. Histograms of oriented gradients for human detection
8. ImageNet Large Scale Visual Recognition Challenge
9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
10. Long Short-Term Memory

Their papers

• Automated Pathogenesis-Based Diagnosis of Lumbar Neural Foraminal Stenosis via Deep Multiscale Multitask Learning (2018) — 40 citations
• Breast Cancer Multi-classification from Histopathological Images with Structured Deep Learning Model (2017) — 623 citations