Yujun Liao

Computer Vision and Pattern Recognition · 2022

A researcher in the Science corpus: 1 paper; trusts 18 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 90 citations into it

Whom Yujun Liao trusts

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

1. Kaiming He (in Computer Vision and Pattern Recognition)
2. Ross B. Girshick (in Computer Vision and Pattern Recognition)
3. Andrew Zisserman (in Computer Vision and Pattern Recognition)
4. Shaoqing Ren (in Computer Vision and Pattern Recognition)
5. Alex Krizhevsky (in Computer Vision and Pattern Recognition)
6. Karen Simonyan (in Computer Vision and Pattern Recognition)
7. Jitendra Malik (in Computer Vision and Pattern Recognition)
8. Trevor Darrell (in Computer Vision and Pattern Recognition)
9. Rob Fergus (in Computer Vision and Pattern Recognition)
10. X. Zhang (in Computer Vision and Pattern Recognition)

Papers from Yujun Liao's perspective

Ordered by how strongly the researchers Yujun Liao 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. Gradient-based learning applied to document recognition
4. ImageNet Large Scale Visual Recognition Challenge
5. ImageNet: A large-scale hierarchical image database
6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
7. Going deeper with convolutions
8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
9. Attention is All you Need (Neural Information Processing Systems)
10. Long Short-Term Memory

Their papers

• Review the state-of-the-art technologies of semantic segmentation based on deep learning (2022) — 592 citations