Jing Gao

Computer Vision and Pattern Recognition · with Chen · 2020

A researcher in the Science corpus: 1 paper; trusts 66 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 37 citations into it
• Artificial Intelligence — 31 citations into it
• Model Architectures — 14 citations into it
• Natural Language Processing — 8 citations into it
• Representation & Self-Supervised Learning — 7 citations into it

Whom Jing Gao trusts overall

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

1. Geoffrey E. Hinton
2. Yoshua Bengio
3. Alex Graves
4. Yann LeCun
5. Kaiming He
6. Alex Krizhevsky
7. Ilya Sutskever
8. Christian Szegedy
9. Matthew D. Zeiler
10. Diederik P. Kingma

Who trusts Jing Gao overall

1. Jabeen Summaira

Papers from Jing Gao's perspective

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

Their papers

• A Survey on Deep Learning for Multimodal Data Fusion (2020) — 733 citations