Jinlu Liu

Computer Vision and Pattern Recognition · 2019

A researcher in the Science corpus: 2 papers; trusts 375 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 51 citations into it
• Artificial Intelligence — 38 citations into it
• Representation & Self-Supervised Learning — 19 citations into it
• Model Architectures — 15 citations into it
• Optimization & Training — 9 citations into it
• Meta & Continual Learning — 8 citations into it

Whom Jinlu Liu trusts overall

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

1. Kaiming He
2. Geoffrey E. Hinton
3. Yann LeCun
4. Ross B. Girshick
5. Karen Simonyan
6. Alex Krizhevsky
7. Yoshua Bengio
8. Oriol Vinyals
9. Diederik P. Kingma
10. Sergey Ioffe

Papers from Jinlu Liu's perspective

Ordered by how strongly the researchers Jinlu Liu 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. 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. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Fast and Generalized Adaptation for Few-Shot Learning (2019) — 8 citations
• Generalized Adaptation for Few-Shot Learning (2019) — 6 citations