Yunzhi Shi

Computer Vision and Pattern Recognition · 2019

A researcher in the Science corpus: 1 paper; trusts 34 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 7 citations into it

Whom Yunzhi Shi trusts overall

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

1. Dave Hale
2. Ross B. Girshick
3. Diederik P. Kingma
4. Xinming Wu
5. Kaiming He
6. Shaoqing Ren
7. Saining Xie
8. Geoffrey E. Hinton
9. Jimmy Ba

Who trusts Yunzhi Shi overall

1. Siwei Yu

Papers from Yunzhi Shi's perspective

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

1. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. ImageNet classification with deep convolutional neural networks
4. Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation
5. Gradient-based learning applied to document recognition
6. ImageNet: A large-scale hierarchical image database
7. Attention is All you Need (Neural Information Processing Systems)
8. Long Short-Term Memory
9. ImageNet Large Scale Visual Recognition Challenge
10. Going deeper with convolutions

Their papers

• FaultSeg3D: Using synthetic data sets to train an end-to-end convolutional neural network for 3D seismic fault segmentation (2019) — 712 citations