Long Sun

Computer Vision and Pattern Recognition · 2019–2020

A researcher in the Science corpus: 2 papers; trusts 181 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 72 citations into it
• Media Technology — 43 citations into it
• Artificial Intelligence — 12 citations into it
• Model Architectures — 11 citations into it

Whom Long Sun trusts overall

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

1. Christian Szegedy
2. Kaiming He
3. Radu Timofte
4. Geoffrey E. Hinton
5. Alex Krizhevsky
6. Chao Dong
7. Diederik P. Kingma
8. Ross B. Girshick
9. Jiwon Kim
10. Yann LeCun

Papers from Long Sun's perspective

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

Their papers

• AIM 2019 Challenge on Constrained Super-Resolution: Methods and Results (2019) — 62 citations
• MADNet: A Fast and Lightweight Network for Single-Image Super Resolution (2020) — 308 citations