Yu Dai

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 — 16 citations into it
• Artificial Intelligence — 14 citations into it
• Radiology, Nuclear Medicine and Imaging — 8 citations into it

Whom Yu Dai trusts overall

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

1. Nabila Abraham
2. Olaf Ronneberger
3. Vijay Badrinarayanan
4. Zongwei Zhou
5. Hengshuang Zhao

Papers from Yu Dai's perspective

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

Their papers

• AAU-Net: An Adaptive Attention U-Net for Breast Lesions Segmentation in Ultrasound Images (2022) — 332 citations