Ling Chen

Computer Vision and Pattern Recognition · with Cai · 2020

A researcher in the Science corpus: 1 paper; trusts 28 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 27 citations into it

Whom Ling Chen trusts overall

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

1. Ross B. Girshick
2. Gong Cheng
3. Geoffrey E. Hinton
4. Junwei Han
5. Kaiming He
6. Alex Krizhevsky
7. Yann LeCun
8. Pablo Arbeláez

Papers from Ling Chen's perspective

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

Their papers

• Incremental Detection of Remote Sensing Objects With Feature Pyramid and Knowledge Distillation (2020) — 33 citations