Yu Jiang

Computer Vision and Pattern Recognition · with Li · 2018–2020

A researcher in the Science corpus: 3 papers; trusts 362 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 33 citations into it
• Plant Science — 27 citations into it
• Artificial Intelligence — 14 citations into it
• Analytical Chemistry — 11 citations into it
• Model Architectures — 9 citations into it

Whom Yu Jiang trusts overall

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

1. Ross B. Girshick
2. Kaiming He
3. Karen Simonyan
4. Alex Krizhevsky
5. Geoffrey E. Hinton
6. Shaoqing Ren
7. Yann LeCun
8. Christian Szegedy
9. Andrew Zisserman
10. Kunihiko Fukushima

Papers from Yu Jiang's perspective

Ordered by how strongly the researchers Yu Jiang 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. Attention is All you Need (Neural Information Processing Systems)
7. Long Short-Term Memory
8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
9. Going deeper with convolutions
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Convolutional Neural Networks for Image-Based High-Throughput Plant Phenotyping: A Review (2020) — 323 citations
• Three-dimensional photogrammetric mapping of cotton bolls in situ based on point cloud segmentation and clustering (2020) — 105 citations
• Blueberry bruise detection by pulsed thermographic imaging (2018) — 67 citations