Dong Shen

Computer Vision and Pattern Recognition · 2021

A researcher in the Science corpus: 2 papers; trusts 344 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 102 citations into it
• Artificial Intelligence — 67 citations into it
• Model Architectures — 34 citations into it
• Natural Language Processing — 15 citations into it

Whom Dong Shen trusts overall

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

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

Papers from Dong Shen's perspective

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

Their papers

• Improving Video-Text Retrieval by Multi-Stream Corpus Alignment and Dual Softmax Loss (2021) — 187 citations
• CAT: Cross Attention in Vision Transformer (2021) — 316 citations