Dehong Gao

Computer Vision and Pattern Recognition · 2021

A researcher in the Science corpus: 1 paper; trusts 62 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 61 citations into it
• Artificial Intelligence — 48 citations into it
• Multimodal Learning — 41 citations into it

Whom Dehong Gao trusts overall

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

1. Kaiming He
2. Geoffrey E. Hinton
3. Alex Krizhevsky
4. Yoshua Bengio
5. Diederik P. Kingma
6. Ilya Sutskever
7. Ross B. Girshick
8. Yann LeCun
9. Karen Simonyan
10. Ruslan Salakhutdinov

Papers from Dehong Gao's perspective

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

Their papers

• Kaleido-BERT: Vision-Language Pre-training on Fashion Domain (2021) — 144 citations