Bing-Yu Chen

Computer Vision and Pattern Recognition · 2021

A researcher in the Science corpus: 1 paper; trusts 309 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 30 citations into it
• Generative Models — 14 citations into it
• Computational Mechanics — 11 citations into it
• Artificial Intelligence — 10 citations into it
• Computer Graphics and Computer-Aided Design — 6 citations into it
• Optimization & Training — 5 citations into it

Whom Bing-Yu Chen trusts overall

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

1. Diederik P. Kingma
2. Kaiming He
3. Geoffrey E. Hinton
4. Jimmy Ba
5. Yoshua Bengio
6. Alex Krizhevsky
7. Yann LeCun
8. Karen Simonyan
9. Jia Deng
10. Ilya Sutskever

Papers from Bing-Yu Chen's perspective

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

Their papers

• ClipGen: A Deep Generative Model for Clipart Vectorization and Synthesis (2021) — 40 citations