Zhekang Dong

Computer Vision and Pattern Recognition · 2021

A researcher in the Science corpus: 1 paper; trusts 243 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 35 citations into it
• Artificial Intelligence — 17 citations into it
• Model Architectures — 5 citations into it

Whom Zhekang Dong trusts overall

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

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

Papers from Zhekang Dong's perspective

Ordered by how strongly the researchers Zhekang Dong 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. ImageNet: A large-scale hierarchical image database
4. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Gradient-based learning applied to document recognition
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

• Improved YOLOv5 network for real-time multi-scale traffic sign detection (2021) — 327 citations