Jing Han

Computer Vision and Pattern Recognition · with Chen · 2020

A researcher in the Science corpus: 1 paper; trusts 24 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 14 citations into it
• Artificial Intelligence — 10 citations into it
• Computational Mechanics — 5 citations into it
• Geology — 5 citations into it

Whom Jing Han trusts overall

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

1. Chi Zhang

Papers from Jing Han's perspective

Ordered by how strongly the researchers Jing Han 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. Prototypical Networks for Few-shot Learning
4. ImageNet: A large-scale hierarchical image database
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Gradient-based learning applied to document recognition
7. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
8. Attention is All you Need (Neural Information Processing Systems)
9. Going deeper with convolutions
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• Compositional Prototype Network with Multi-view Comparision for Few-Shot Point Cloud Semantic Segmentation (2020) — 16 citations