Xiaobing Wang

Computer Vision and Pattern Recognition · with Jiang · 2017–2019

A researcher in the Science corpus: 2 papers; trusts 138 researchers and is trusted by 5 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 54 citations into it; #12,588 of 21,575 by trust here, #10,010 by citations
• Media Technology — 20 citations into it; #2,023 of 3,621 by trust here, #1,017 by citations
• Model Architectures — 6 citations into it

Whom Xiaobing Wang trusts overall

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

1. Kaiming He
2. Karen Simonyan
3. Ross B. Girshick
4. Minghui Liao
5. Shaoqing Ren
6. Xiang Bai
7. Baoguang Shi
8. Cong Yao
9. Andrew Zisserman
10. Geoffrey E. Hinton

Who trusts Xiaobing Wang overall

1. Xue Yang
2. Shangbang Long
3. Minghui Liao
4. Cong Yao
5. Xin He
6. Junchi Yan

Papers from Xiaobing Wang's perspective

Ordered by how strongly the researchers Xiaobing 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. ImageNet classification with deep convolutional neural networks
3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Long Short-Term Memory
5. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
6. Gradient-based learning applied to document recognition
7. ImageNet: A large-scale hierarchical image database
8. Attention is All you Need (Neural Information Processing Systems)
9. Going deeper with convolutions
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• R2CNN: Rotational Region CNN for Orientation Robust Scene Text Detection (2017) — 566 citations
• Arbitrary Shape Scene Text Detection With Adaptive Text Region Representation (2019) — 187 citations