Yiming Gao

Computer Vision and Pattern Recognition · with Deng · 2020

A researcher in the Science corpus: 1 paper; trusts 132 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 29 citations into it
• Artificial Intelligence — 12 citations into it

Whom Yiming Gao trusts overall

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

1. Kaiming He
2. Ross B. Girshick
3. Alex Krizhevsky
4. Geoffrey E. Hinton
5. Pablo Arbeláez
6. Jifeng Dai
7. Bharath Hariharan
8. Yann LeCun
9. Jitendra Malik
10. Piotr Doll'ar

Papers from Yiming Gao's perspective

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

Their papers

• Bidirectional Graph Reasoning Network for Panoptic Segmentation (2020) — 60 citations