Bingyi Zhang

Computer Vision and Pattern Recognition · 2019

A researcher in the Science corpus: 1 paper; trusts 12 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 23 citations into it
• Artificial Intelligence — 13 citations into it

Whom Bingyi Zhang trusts overall

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

1. Karen Simonyan
2. Qiuhong Ke
3. Andrew Zisserman
4. Eshed Ohn-Bar
5. Gurkirt Singh
6. Liliana Lo Presti
7. Geoffrey E. Hinton
8. Yann LeCun
9. Amir Shahroudy
10. Alex Krizhevsky

Who trusts Bingyi Zhang overall

1. Jun Liu

Papers from Bingyi Zhang's perspective

Ordered by how strongly the researchers Bingyi Zhang 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. Long Short-Term Memory
4. Gradient-based learning applied to document recognition
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. ImageNet: A large-scale hierarchical image database
7. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
8. Attention is All you Need (Neural Information Processing Systems)
9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
10. Going deeper with convolutions

Their papers

• A Real-Time and Hardware-Efficient Processor for Skeleton-Based Action Recognition With Lightweight Convolutional Neural Network (2019) — 16 citations