Ying Zou

Computer Vision and Pattern Recognition · with Chen · 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 Ying Zou trusts overall

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

1. Evan Shelhamer

Papers from Ying Zou's perspective

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

1. Attention is All you Need (Neural Information Processing Systems)
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. ImageNet classification with deep convolutional neural networks
4. Fully convolutional networks for semantic segmentation
5. U-Net: Convolutional Networks for Biomedical Image Segmentation (International Conference on Medical Image Computing and Computer-Assisted Intervention)
6. ImageNet: A large-scale hierarchical image database
7. Gradient-based learning applied to document recognition
8. Going deeper with convolutions
9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
10. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)

Their papers

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