Yongjun Chen

Computer Vision and Pattern Recognition · with Cai · 2019

A researcher in the Science corpus: 1 paper; trusts 13 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 16 citations into it

Whom Yongjun Chen trusts overall

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

1. Karen Simonyan
2. Kaiming He
3. Andrew Zisserman
4. Dima Damen
5. Olaf Ronneberger
6. Geoffrey E. Hinton
7. Yann LeCun
8. Alex Krizhevsky
9. Vijay Badrinarayanan
10. X. Zhang

Papers from Yongjun Chen's perspective

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

Their papers

• Dense Transformer Networks for Brain Electron Microscopy Image Segmentation (2019) — 8 citations