Jin Gao

Computer Vision and Pattern Recognition · 2014–2018

A researcher in the Science corpus: 2 papers; trusts 309 researchers and is trusted by 16 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 68 citations into it; #6,654 of 21,575 by trust here, #8,409 by citations
• Artificial Intelligence — 10 citations into it

Whom Jin Gao trusts overall

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

1. Ming-Hsuan Yang
2. Junseok Kwon
3. Helmut Grabner
4. Zdenek Kalal
5. Geoffrey E. Hinton
6. Kaiming He
7. Alex Krizhevsky
8. Yi Wu
9. Karen Simonyan
10. Ross B. Girshick

Who trusts Jin Gao overall

1. Martin Danelljan
2. Chao Ma
3. Ran Tao
4. Naiyan Wang
5. Siyi Li
6. Yibing Song
7. Yi Wu
8. Hyeonseob Nam
9. Ming-Hsuan Yang
10. Kaihua Zhang

Papers from Jin Gao's perspective

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

Their papers

• Transfer Learning Based Visual Tracking with Gaussian Processes Regression (2014) — 454 citations
• Learning Attentions: Residual Attentional Siamese Network for High Performance Online Visual Tracking (2018) — 494 citations