Jiafeng Li

Computer Vision and Pattern Recognition · 2023

A researcher in the Science corpus: 1 paper; trusts 40 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 22 citations into it
• Artificial Intelligence — 12 citations into it
• Model Architectures — 5 citations into it

Whom Jiafeng Li trusts overall

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

1. Kaiming He
2. Alex Krizhevsky
3. Geoffrey E. Hinton
4. Gao Huang
5. Ross B. Girshick
6. X. Zhang
7. Shaoqing Ren
8. Yann LeCun
9. Yoshua Bengio
10. Ilya Sutskever

Papers from Jiafeng Li's perspective

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

Their papers

• SCConv: Spatial and Channel Reconstruction Convolution for Feature Redundancy (2023) — 596 citations