Zhenglin Wang

Computer Vision and Pattern Recognition · 2019

A researcher in the Science corpus: 2 papers; trusts 133 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 39 citations into it
• Plant Science — 17 citations into it
• Artificial Intelligence — 15 citations into it
• Analytical Chemistry — 9 citations into it

Whom Zhenglin Wang trusts overall

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

1. Ross B. Girshick
2. Kaiming He
3. Karen Simonyan
4. Suchet Bargoti
5. Geoffrey E. Hinton
6. Alex Krizhevsky
7. Matthew D. Zeiler
8. Andrew Zisserman
9. Yann LeCun
10. Jia Deng

Papers from Zhenglin Wang's perspective

Ordered by how strongly the researchers Zhenglin Wang 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. Gradient-based learning applied to document recognition
6. Adam: A Method for Stochastic Optimization (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. Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation

Their papers

• Deep learning - Method overview and review of use for fruit detection and yield estimation (2019) — 518 citations
• Deep learning for real-time fruit detection and orchard fruit load estimation: benchmarking of ‘MangoYOLO’ (2019) — 417 citations