Xiaoqing Ding

Computer Vision and Pattern Recognition · 2015

A researcher in the Science corpus: 1 paper; trusts 371 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 73 citations into it
• Artificial Intelligence — 16 citations into it
• Media Technology — 12 citations into it
• Aerospace Engineering — 8 citations into it

Whom Xiaoqing Ding trusts overall

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

1. Ross B. Girshick
2. David G. Lowe
3. Alex Krizhevsky
4. Andrew Zisserman
5. Kaiming He
6. Geoffrey E. Hinton
7. Jitendra Malik
8. Christian Szegedy
9. Rob Fergus
10. Yoshua Bengio

Papers from Xiaoqing Ding's perspective

Ordered by how strongly the researchers Xiaoqing Ding 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Gradient-based learning applied to document recognition
5. ImageNet: A large-scale hierarchical image database
6. Long Short-Term Memory
7. Attention is All you Need (Neural Information Processing Systems)
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

• Feature representation for statistical-learning-based object detection: A review (2015) — 98 citations