Kai Chen

Computer Vision and Pattern Recognition · 1 papers · 2024

A researcher in the Science corpus: 1 paper; trusts 54 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 56 citations into it
• Artificial Intelligence — 31 citations into it
• Model Architectures — 16 citations into it

Whom Kai Chen trusts overall

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

1. Chien-Yao Wang
2. Kaiming He
3. Ross B. Girshick
4. Geoffrey E. Hinton
5. Sergey Ioffe
6. Alex Krizhevsky
7. Christian Szegedy
8. Tsung-Yi Lin
9. Joseph Redmon
10. Jimmy Ba

Papers from Kai Chen's perspective

Ordered by how strongly the researchers Kai Chen 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. Attention is All you Need (Neural Information Processing Systems)
4. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
5. Microsoft COCO: Common Objects in Context
6. ImageNet: A large-scale hierarchical image database
7. Gradient-based learning applied to document recognition
8. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
9. Going deeper with convolutions
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• YOLOv10: Real-Time End-to-End Object Detection (2024) — 5,041 citations