Kai Li

Computer Vision and Pattern Recognition · with Zhang · 2023

A researcher in the Science corpus: 1 paper; trusts 5 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 23 citations into it
• Artificial Intelligence — 10 citations into it

Whom Kai Li trusts overall

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

1. Deng-Ping Fan
2. Kaiming He
3. Sergey Ioffe
4. W. E
5. Eldad Haber
6. Christian Szegedy
7. Geoffrey E. Hinton
8. Alex Krizhevsky
9. X. Zhang
10. Ming-Ming Cheng

Papers from Kai Li's perspective

Ordered by how strongly the researchers Kai 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. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
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. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
8. ImageNet: A large-scale hierarchical image database
9. Attention is All you Need (Neural Information Processing Systems)
10. Going deeper with convolutions

Their papers

• Camouflaged Object Detection with Feature Decomposition and Edge Reconstruction (2023) — 372 citations