Liu Yu-yang

Computer Vision and Pattern Recognition · 2023

A researcher in the Science corpus: 1 paper; trusts 172 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 47 citations into it
• Artificial Intelligence — 42 citations into it
• Meta & Continual Learning — 19 citations into it

Whom Liu Yu-yang trusts overall

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

1. Kaiming He
2. Geoffrey E. Hinton
3. Ross B. Girshick
4. Alex Krizhevsky
5. Shaoqing Ren
6. Yoshua Bengio
7. Yann LeCun
8. Diederik P. Kingma
9. Jia Deng
10. Ilya Sutskever

Who trusts Liu Yu-yang overall

1. Haoxuan Qu
2. Dipam Goswami

Papers from Liu Yu-yang's perspective

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

Their papers

• Augmented Box Replay: Overcoming Foreground Shift for Incremental Object Detection (2023) — 59 citations