Lihe Yang

Computer Vision and Pattern Recognition · with Qi · 2021–2022

A researcher in the Science corpus: 2 papers; trusts 419 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 99 citations into it
• Artificial Intelligence — 81 citations into it
• Representation & Self-Supervised Learning — 46 citations into it
• Optimization & Training — 15 citations into it

Whom Lihe Yang trusts overall

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

1. Kaiming He
2. Geoffrey E. Hinton
3. Yoshua Bengio
4. Alex Krizhevsky
5. Ross B. Girshick
6. Diederik P. Kingma
7. Yann LeCun
8. Ilya Sutskever
9. Karen Simonyan
10. Christian Szegedy

Who trusts Lihe Yang overall

1. Lihe Yang
2. Kepan Nan
3. Yuchao Wang
4. Bingyi Kang

Papers from Lihe Yang's perspective

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

Their papers

• ST++: Make Self-trainingWork Better for Semi-supervised Semantic Segmentation (2021) — 472 citations
• Revisiting Weak-to-Strong Consistency in Semi-Supervised Semantic Segmentation (2022) — 504 citations