Lingshun Kong

Computer Vision and Pattern Recognition · 2022

A researcher in the Science corpus: 1 paper; trusts 17 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 24 citations into it
• Artificial Intelligence — 8 citations into it
• Model Architectures — 6 citations into it

Whom Lingshun Kong trusts overall

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

1. Diederik P. Kingma
2. Noam Shazeer
3. Syed Waqas Zamir
4. Jimmy Ba
5. Geoffrey E. Hinton
6. Kaiming He
7. Alex Krizhevsky
8. Yoshua Bengio
9. Jaesung Rim
10. Ross B. Girshick

Papers from Lingshun Kong's perspective

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

Their papers

• Efficient Frequency Domain-based Transformers for High-Quality Image Deblurring (2022) — 374 citations