Lin Liang

Computer Vision and Pattern Recognition · with Wang · 2021

A researcher in the Science corpus: 1 paper; trusts 115 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 61 citations into it
• Artificial Intelligence — 45 citations into it
• Natural Language Processing — 14 citations into it
• Evaluation & Benchmarks — 13 citations into it

Whom Lin Liang trusts overall

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

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

Papers from Lin Liang's perspective

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

Their papers

• Injecting Semantic Concepts into End-to-End Image Captioning (2021) — 127 citations