Dandan Li

Computer Vision and Pattern Recognition · with Huang · 2021–2022

A researcher in the Science corpus: 2 papers; trusts 305 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 73 citations into it; #19,033 of 21,575 by trust here, #16,787 by citations
• Model Architectures — 28 citations into it
• Artificial Intelligence — 27 citations into it
• Radiology, Nuclear Medicine and Imaging — 19 citations into it; #2,481 of 3,265 by trust here, #2,536 by citations

Whom Dandan Li trusts overall

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

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

Who trusts Dandan Li overall

1. Kaiwen Zhang

Papers from Dandan Li's perspective

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

Their papers

• MISSFormer: An Effective Transformer for 2D Medical Image Segmentation (2022) — 453 citations
• MISSFormer: An Effective Medical Image Segmentation Transformer (2021) — 302 citations