Ping-Yang Chen

Computer Vision and Pattern Recognition · 2019

A researcher in the Science corpus: 1 paper; trusts 126 researchers and is trusted by 6 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 42 citations into it; #11,900 of 21,575 by trust here, #8,612 by citations
• Artificial Intelligence — 24 citations into it; #19,052 of 35,345 by trust here, #12,387 by citations
• Model Architectures — 10 citations into it
• Efficiency & Compression — 8 citations into it

Whom Ping-Yang Chen trusts overall

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

1. Kaiming He
2. Ross B. Girshick
3. Alex Krizhevsky
4. Geoffrey E. Hinton
5. Jia Deng
6. Karen Simonyan
7. Yoshua Bengio
8. Yann LeCun
9. Christian Szegedy

Who trusts Ping-Yang Chen overall

1. Chien-Yao Wang

Papers from Ping-Yang Chen's perspective

Ordered by how strongly the researchers Ping-Yang 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: A large-scale hierarchical image database
3. ImageNet classification with deep convolutional neural networks
4. Microsoft COCO: Common Objects in Context
5. Attention is All you Need (Neural Information Processing Systems)
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 Large Scale Visual Recognition Challenge
9. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
10. Going deeper with convolutions

Their papers

• CSPNet: A New Backbone that can Enhance Learning Capability of CNN (2019) — 4,207 citations