Hua Wang

Computer Vision and Pattern Recognition · with Fu · 2017

A researcher in the Science corpus: 1 paper; trusts 12 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 26 citations into it; #15,900 of 21,575 by trust here, #11,083 by citations

Whom Hua Wang trusts overall

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

1. Ross B. Girshick
2. Kaiming He

Who trusts Hua Wang overall

1. Xue Yang

Papers from Hua Wang's perspective

Ordered by how strongly the researchers Hua 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. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
3. ImageNet classification with deep convolutional neural networks
4. Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks
5. Fast R-CNN
6. Gradient-based learning applied to document recognition
7. Going deeper with convolutions
8. Long Short-Term Memory
9. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
10. ImageNet: A large-scale hierarchical image database

Their papers

• R2CNN: Rotational Region CNN for Orientation Robust Scene Text Detection (2017) — 566 citations