He-lu Huang

Computer Vision and Pattern Recognition · 2023

A researcher in the Science corpus: 1 paper; trusts 11 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 30 citations into it

Whom He-lu Huang trusts overall

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

1. Evan Shelhamer
2. Kaiming He
3. Olaf Ronneberger
4. Geoffrey E. Hinton
5. Alex Krizhevsky
6. Ashish Vaswani
7. Yundong Zhang
8. Ross B. Girshick
9. Karen Simonyan
10. Diederik P. Kingma

Papers from He-lu Huang's perspective

Ordered by how strongly the researchers He-lu Huang 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. Attention is All you Need (Neural Information Processing Systems)
3. ImageNet classification with deep convolutional neural networks
4. ImageNet: A large-scale hierarchical image database
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Gradient-based learning applied to document recognition
7. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
8. Going deeper with convolutions
9. Long Short-Term Memory
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• Channel prior convolutional attention for medical image segmentation (2023) — 297 citations