Shangbang Long

Computer Vision and Pattern Recognition · 2018

A researcher in the Science corpus: 2 papers; trusts 830 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 160 citations into it; #15,793 of 21,575 by trust here, #13,542 by citations
• Media Technology — 49 citations into it; #2,673 of 3,621 by trust here, #2,178 by citations
• Artificial Intelligence — 42 citations into it
• Natural Language Processing — 23 citations into it
• Model Architectures — 16 citations into it
• Evaluation & Benchmarks — 6 citations into it
• Signal Processing — 5 citations into it

Whom Shangbang Long trusts overall

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

1. Kaiming He
2. Ross B. Girshick
3. Karen Simonyan
4. Geoffrey E. Hinton
5. Cong Yao
6. Alex Krizhevsky
7. Ilya Sutskever
8. Baoguang Shi
9. Yann LeCun
10. Diederik P. Kingma

Who trusts Shangbang Long overall

1. Minghui Liao
2. Wenhai Wang
3. Pengyuan Lyu
4. Cong Yao
5. Tianwei Wang
6. Yuliang Liu
7. Xiaobing Wang
8. Xiang-Yang Li
9. Chengquan Zhang
10. Xiang Bai

Papers from Shangbang Long's perspective

Ordered by how strongly the researchers Shangbang Long 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. 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. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
9. ImageNet Large Scale Visual Recognition Challenge
10. Going deeper with convolutions

Their papers

• TextSnake: A Flexible Representation for Detecting Text of Arbitrary Shapes (2018) — 588 citations
• Scene Text Detection and Recognition: The Deep Learning Era (2018) — 502 citations