Xiangru Lin

Computer Vision and Pattern Recognition · 2019

A researcher in the Science corpus: 1 paper; trusts 244 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 38 citations into it
• Artificial Intelligence — 28 citations into it
• Model Architectures — 10 citations into it
• Evaluation & Benchmarks — 7 citations into it

Whom Xiangru Lin trusts overall

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

1. Kaiming He
2. Christian Szegedy
3. Ross B. Girshick
4. Alex Krizhevsky
5. Geoffrey E. Hinton
6. Sergey Ioffe
7. Pedro F. Felzenszwalb
8. Yann LeCun
9. Yoshua Bengio
10. Ilya Sutskever

Papers from Xiangru Lin's perspective

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

Their papers

• Weakly Supervised Complementary Parts Models for Fine-Grained Image Classification From the Bottom Up (2019) — 296 citations