Maoke Yang

Computer Vision and Pattern Recognition · 2018–2020

A researcher in the Science corpus: 2 papers; trusts 299 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 75 citations into it; #16,215 of 21,575 by trust here, #6,485 by citations
• Artificial Intelligence — 31 citations into it
• Model Architectures — 10 citations into it

Whom Maoke Yang trusts overall

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

1. Kaiming He
2. Diederik P. Kingma
3. Liang-Chieh Chen
4. Geoffrey E. Hinton
5. Ross B. Girshick
6. Sergey Ioffe
7. Alex Krizhevsky
8. Christian Szegedy
9. Jia Deng
10. Yann LeCun

Who trusts Maoke Yang overall

1. Xiangtai Li
2. Jun Fu
3. Yuhui Yuan
4. Jing Zhang
5. Qibin Hou
6. Huihui Pan
7. Hanchao Li
8. Sihong Chen
9. Zilong Huang
10. Tianyi Wu

Papers from Maoke Yang's perspective

Ordered by how strongly the researchers Maoke Yang 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. Attention is All you Need (Neural Information Processing Systems)
6. Gradient-based learning applied to document recognition
7. Long Short-Term Memory
8. ImageNet Large Scale Visual Recognition Challenge
9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• DenseASPP for Semantic Segmentation in Street Scenes (2018) — 1,473 citations
• Semantic Flow for Fast and Accurate Scene Parsing (2020) — 448 citations