Benzheng Wei

Computer Vision and Pattern Recognition · 2015–2018

A researcher in the Science corpus: 3 papers; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 55 citations into it
• Model Architectures — 8 citations into it

Whom Benzheng Wei 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. Muhammad Moazam Fraz
6. David G. Lowe

Papers from Benzheng Wei's perspective

Ordered by how strongly the researchers Benzheng Wei trusts endorse each paper. Same corpus, a different order for every researcher.

1. Gradient-based learning applied to document recognition
2. ImageNet classification with deep convolutional neural networks
3. Histograms of oriented gradients for human detection
4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
5. This PDF file includes: Materials and Methods
6. Going deeper with convolutions
7. ImageNet: A large-scale hierarchical image database
8. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
9. ImageNet Large Scale Visual Recognition Challenge
10. Object recognition from local scale-invariant features

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
• Hierarchical retinal blood vessel segmentation based on feature and ensemble learning (2015) — 380 citations