Xiangfeng Zeng

Computer Vision and Pattern Recognition · 2020

A researcher in the Science corpus: 1 paper; trusts 121 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 27 citations into it
• Artificial Intelligence — 10 citations into it
• Model Architectures — 5 citations into it

Whom Xiangfeng Zeng trusts overall

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

1. Ross B. Girshick
2. Kaiming He
3. Shaoqing Ren
4. Karen Simonyan
5. Tsung-Yi Lin
6. Alex Krizhevsky
7. Geoffrey E. Hinton
8. Andrew Zisserman
9. X. Zhang
10. Joseph Redmon

Papers from Xiangfeng Zeng's perspective

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

Their papers

• HRSID: A High-Resolution SAR Images Dataset for Ship Detection and Instance Segmentation (2020) — 809 citations