Chaoqun Wang

Computer Vision and Pattern Recognition · 2020

A researcher in the Science corpus: 1 paper; trusts 13 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 11 citations into it
• Artificial Intelligence — 6 citations into it

Whom Chaoqun Wang trusts overall

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

1. Sebastian Thrun
2. Diederik P. Kingma
3. Liang-Chieh Chen
4. Kaiming He

Papers from Chaoqun Wang's perspective

Ordered by how strongly the researchers Chaoqun Wang 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
3. ImageNet classification with deep convolutional neural networks
4. Fully convolutional networks for semantic segmentation
5. Gradient-based learning applied to document recognition
6. ImageNet: A large-scale hierarchical image database
7. Attention is All you Need (Neural Information Processing Systems)
8. ImageNet Large Scale Visual Recognition Challenge
9. Long Short-Term Memory
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• Neural RRT*: Learning-Based Optimal Path Planning (2020) — 513 citations