Kean Chen

Computer Vision and Pattern Recognition · 2019–2020

A researcher in the Science corpus: 2 papers; trusts 194 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 65 citations into it
• Artificial Intelligence — 24 citations into it
• Media Technology — 7 citations into it
• Model Architectures — 5 citations into it

Whom Kean Chen trusts overall

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

1. Kaiming He
2. Ross B. Girshick
3. Karen Simonyan
4. Tsung-Yi Lin
5. Alex Krizhevsky
6. Geoffrey E. Hinton
7. Andrew Zisserman
8. Shaoqing Ren
9. Yann LeCun
10. Jia Deng

Who trusts Kean Chen overall

1. Xue Yang
2. Kemal Oksuz
3. Shifeng Zhang
4. Xiaoya Li
5. L. Jiao

Papers from Kean Chen's perspective

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

Their papers

• Towards Accurate One-Stage Object Detection With AP-Loss (2019) — 130 citations
• PIoU Loss: Towards Accurate Oriented Object Detection in Complex Environments (2020) — 299 citations