Yu Gao

Computer Vision and Pattern Recognition · with Feng · 2021

A researcher in the Science corpus: 1 paper; trusts 82 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 32 citations into it; #17,506 of 21,575 by trust here, #15,162 by citations

Whom Yu Gao trusts overall

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

1. Ross B. Girshick
2. Kaiming He
3. Tsung-Yi Lin
4. Jia Deng
5. Alex Krizhevsky
6. Geoffrey E. Hinton
7. Chenchen Zhu
8. Shaoqing Ren
9. Piotr Doll'ar
10. Yann LeCun

Who trusts Yu Gao overall

1. Juan R. Terven
2. Chien-Yao Wang

Papers from Yu Gao's perspective

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

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

Their papers

• TOOD: Task-aligned One-stage Object Detection (2021) — 1,333 citations