Xuming Han

Computer Vision and Pattern Recognition · 2024

A researcher in the Science corpus: 1 paper; trusts 72 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 47 citations into it
• Artificial Intelligence — 20 citations into it
• Model Architectures — 12 citations into it

Whom Xuming Han trusts overall

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

1. Ross B. Girshick
2. Christian Szegedy
3. Kaiming He
4. Alex Krizhevsky
5. Sergey Ioffe
6. Geoffrey E. Hinton
7. Tsung-Yi Lin
8. Joseph Redmon
9. Mingxing Tan
10. Yann LeCun

Papers from Xuming Han's perspective

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

1. ImageNet classification with deep convolutional neural networks
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. Attention is All you Need (Neural Information Processing Systems)
4. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Gradient-based learning applied to document recognition
7. Long Short-Term Memory
8. ImageNet: A large-scale hierarchical image database
9. Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation
10. Going deeper with convolutions

Their papers

• A review of convolutional neural networks in computer vision (2024) — 1,002 citations