Aolun Li

Computer Vision and Pattern Recognition · 2022

A researcher in the Science corpus: 1 paper; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 38 citations into it
• Artificial Intelligence — 26 citations into it
• Model Architectures — 20 citations into it

Whom Aolun Li trusts

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

1. François Chollet (in Computer Vision and Pattern Recognition)
2. Kaiming He (in Computer Vision and Pattern Recognition)
3. Ross B. Girshick (in Computer Vision and Pattern Recognition)
4. Andrew Zisserman (in Computer Vision and Pattern Recognition)

Papers from Aolun Li's perspective

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

1. Attention is All you Need (Neural Information Processing Systems)
2. Layer Normalization
3. An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale (International Conference on Learning Representations)
4. Aggregated Residual Transformations for Deep Neural Networks
5. MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications
6. End-to-End Object Detection with Transformers (European Conference on Computer Vision)
7. Xception: Deep Learning with Depthwise Separable Convolutions
8. Tokens-to-Token ViT: Training Vision Transformers from Scratch on ImageNet
9. Grad-CAM: Visual Explanations from Deep Networks via Gradient-Based Localization
10. Visual Transformers: Token-based Image Representation and Processing for Computer Vision

Their papers

• HiFuse: Hierarchical Multi-Scale Feature Fusion Network for Medical Image Classification (2022) — 352 citations