Dong-Qing Zhang

Computer Vision and Pattern Recognition · 2017

A researcher in the Science corpus: 1 paper; trusts 289 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 31 citations into it
• Artificial Intelligence — 10 citations into it
• Model Architectures — 5 citations into it

Whom Dong-Qing Zhang trusts overall

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

1. Ross B. Girshick
2. Kaiming He
3. Karen Simonyan
4. Geoffrey E. Hinton
5. Alex Krizhevsky
6. Shaoqing Ren
7. Christian Szegedy
8. Andrew Zisserman
9. Tsung-Yi Lin
10. Piotr Doll'ar

Papers from Dong-Qing Zhang's perspective

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

Their papers

• Context-Aware Single-Shot Detector (2017) — 49 citations