Yau Pun Chen

Computer Vision and Pattern Recognition · 2019

A researcher in the Science corpus: 1 paper; trusts 66 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 32 citations into it; #20,194 of 21,575 by trust here, #15,529 by citations
• Artificial Intelligence — 18 citations into it; #33,040 of 35,345 by trust here, #23,731 by citations

Whom Yau Pun Chen trusts overall

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

1. Kaiming He
2. Jia Deng
3. Li Fei-Fei
4. Geoffrey E. Hinton
5. Alex Krizhevsky
6. Karen Simonyan
7. Ross B. Girshick
8. Diederik P. Kingma
9. Evan Shelhamer
10. Andrew Zisserman

Who trusts Yau Pun Chen overall

1. Ho Kei Cheng

Papers from Yau Pun Chen's perspective

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

Their papers

• FSS-1000: A 1000-Class Dataset for Few-Shot Segmentation (2019) — 325 citations