Lin Zhao

Computer Vision and Pattern Recognition · with Ke · 2019–2021

A researcher in the Science corpus: 2 papers; trusts 230 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 35 citations into it
• Computational Mechanics — 21 citations into it
• Artificial Intelligence — 20 citations into it
• Geology — 15 citations into it
• Aerospace Engineering — 7 citations into it
• Computer Graphics and Computer-Aided Design — 5 citations into it

Whom Lin Zhao trusts overall

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

1. Kaiming He
2. Ross B. Girshick
3. Evan Shelhamer
4. Geoffrey E. Hinton
5. Alex Krizhevsky
6. Li Yi
7. Tsung-Yi Lin
8. Piotr Doll'ar
9. Mengye Ren
10. Yann LeCun

Who trusts Lin Zhao overall

1. Yulan Guo
2. Hanyun Wang

Papers from Lin Zhao's perspective

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

Their papers

• MedMNIST v2 - A large-scale lightweight benchmark for 2D and 3D biomedical image classification (2021) — 1,391 citations
• JSNet: Joint Instance and Semantic Segmentation of 3D Point Clouds (2019) — 129 citations