Xiangguang Leng

Computer Vision and Pattern Recognition · 2017–2019

A researcher in the Science corpus: 2 papers; trusts 118 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 28 citations into it
• Artificial Intelligence — 10 citations into it

Whom Xiangguang Leng trusts overall

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

1. Ross B. Girshick
2. Karen Simonyan
3. Kaiming He
4. Shaoqing Ren
5. Andrew Zisserman
6. Geoffrey E. Hinton
7. Alex Krizhevsky
8. Tao Kong
9. Yoshua Bengio
10. Yann LeCun

Papers from Xiangguang Leng's perspective

Ordered by how strongly the researchers Xiangguang Leng trusts endorse each paper. Same corpus, a different order for every researcher.

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

Their papers

• Squeeze and Excitation Rank Faster R-CNN for Ship Detection in SAR Images (2019) — 341 citations
• Contextual Region-Based Convolutional Neural Network with Multilayer Fusion for SAR Ship Detection (2017) — 332 citations