Shiping Zhu

Computer Vision and Pattern Recognition · 2021

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

Subfields

• Computer Vision and Pattern Recognition — 24 citations into it

Whom Shiping Zhu trusts overall

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

1. Liang-Chieh Chen

Papers from Shiping Zhu's perspective

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

Their papers

• Learning Statistical Texture for Semantic Segmentation (2021) — 149 citations