Yu-Jhe Li

Computer Vision and Pattern Recognition · 2019–2021

A researcher in the Science corpus: 2 papers; trusts 205 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 56 citations into it
• Artificial Intelligence — 45 citations into it
• Representation & Self-Supervised Learning — 18 citations into it
• Model Architectures — 8 citations into it
• Radiology, Nuclear Medicine and Imaging — 6 citations into it
• Reinforcement Learning — 6 citations into it
• Meta & Continual Learning — 5 citations into it

Whom Yu-Jhe Li trusts overall

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

1. Kaiming He
2. Ross B. Girshick
3. Geoffrey E. Hinton
4. Karen Simonyan
5. Alex Krizhevsky
6. Yoshua Bengio
7. Andrew Zisserman
8. Shaoqing Ren
9. Diederik P. Kingma
10. Yann LeCun

Who trusts Yu-Jhe Li overall

1. Lukas Hoyer
2. Yisheng Song

Papers from Yu-Jhe Li's perspective

Ordered by how strongly the researchers Yu-Jhe Li trusts endorse each paper. Same corpus, a different order for every researcher.

1. ImageNet classification with deep convolutional neural networks
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. ImageNet: A large-scale hierarchical image database
5. Gradient-based learning applied to document recognition
6. Long Short-Term Memory
7. Attention is All you Need (Neural Information Processing Systems)
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

• Spot and Learn: A Maximum-Entropy Patch Sampler for Few-Shot Image Classification (2019) — 67 citations
• Cross-Domain Adaptive Teacher for Object Detection (2021) — 296 citations