Qingcheng Xiao

Computer Vision and Pattern Recognition · 2020

A researcher in the Science corpus: 1 paper; trusts 33 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 21 citations into it
• Artificial Intelligence — 9 citations into it
• Efficiency & Compression — 5 citations into it

Whom Qingcheng Xiao trusts overall

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

1. Kaiming He
2. Karen Simonyan
3. Ross B. Girshick
4. Christian Szegedy
5. X. Zhang
6. Andrew Zisserman
7. Alex Krizhevsky
8. Yann LeCun
9. Geoffrey E. Hinton
10. Yangqing Jia

Papers from Qingcheng Xiao's perspective

Ordered by how strongly the researchers Qingcheng Xiao 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. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
4. Going deeper with convolutions
5. Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation
6. Gradient-based learning applied to document recognition
7. ImageNet: A large-scale hierarchical image database
8. Long Short-Term Memory
9. Attention is All you Need (Neural Information Processing Systems)
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Evaluating Fast Algorithms for Convolutional Neural Networks on FPGAs (2020) — 311 citations