Jun Cheng

Computer Vision and Pattern Recognition · with Cao · 2019

A researcher in the Science corpus: 2 papers; trusts 12 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 27 citations into it

Whom Jun Cheng trusts overall

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

1. Geoffrey E. Hinton
2. Alex Krizhevsky
3. Yoshua Bengio
4. Diederik P. Kingma
5. Oriol Vinyals
6. Christian Szegedy
7. Li Fei-Fei
8. Sergey Zagoruyko
9. Ross B. Girshick
10. Kaiming He

Papers from Jun Cheng's perspective

Ordered by how strongly the researchers Jun Cheng trusts endorse each paper. Same corpus, a different order for every researcher.

1. ImageNet classification with deep convolutional neural networks
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. Going deeper with convolutions
4. Gradient-based learning applied to document recognition
5. ImageNet: A large-scale hierarchical image database
6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
7. Attention is All you Need (Neural Information Processing Systems)
8. Long Short-Term Memory
9. Learning Multiple Layers of Features from Tiny Images
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• High temperature solid-lubricating materials: A review (2019) — 445 citations
• Collect and Select: Semantic Alignment Metric Learning for Few-Shot Learning (2019) — 149 citations