Dapeng Zhang

Computer Vision and Pattern Recognition · 2018–2020

A researcher in the Science corpus: 2 papers; trusts 20 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 21 citations into it

Whom Dapeng Zhang trusts overall

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

1. Kaiming He
2. Shaoqing Ren
3. Christian Szegedy
4. Ross B. Girshick
5. Piotr Doll'ar
6. Geoffrey E. Hinton
7. Alex Krizhevsky
8. X. Zhang
9. Liang-Chieh Chen
10. Karen Simonyan

Papers from Dapeng Zhang's perspective

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

Their papers

• Detection of Power Line Insulator Defects Using Aerial Images Analyzed With Convolutional Neural Networks (2020) — 640 citations
• Automatic Metallic Surface Defect Detection and Recognition with Convolutional Neural Networks (2018) — 426 citations