Changqi Fan

Computer Vision and Pattern Recognition · 2020

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 10 citations into it
• Artificial Intelligence — 5 citations into it

Whom Changqi Fan trusts

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

1. Quoc V. Le (in Computer Vision and Pattern Recognition)
2. Tsung-Yi Lin (in Computer Vision and Pattern Recognition)
3. Christian Szegedy (in Artificial Intelligence)

Papers from Changqi Fan's perspective

Ordered by how strongly the researchers Changqi Fan trusts endorse each paper. Same corpus, a different order for every researcher.

1. Going deeper with convolutions
2. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
3. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
4. U-Net: Convolutional Networks for Biomedical Image Segmentation (International Conference on Medical Image Computing and Computer-Assisted Intervention)
5. DropBlock: A regularization method for convolutional networks
6. NAS-FPN: Learning Scalable Feature Pyramid Architecture for Object Detection
7. ImageNet classification with deep convolutional neural networks
8. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
9. Attention is All you Need (Neural Information Processing Systems)
10. Gradient-based learning applied to document recognition

Their papers

• SA-UNet: Spatial Attention U-Net for Retinal Vessel Segmentation (2020) — 484 citations