Peng Jiang

Computer Vision and Pattern Recognition · with Chen · 2019

A researcher in the Science corpus: 2 papers; trusts 47 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 28 citations into it
• Artificial Intelligence — 11 citations into it
• Geophysics — 8 citations into it
• Media Technology — 8 citations into it
• Model Architectures — 5 citations into it

Whom Peng Jiang trusts overall

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

1. Christian Szegedy
2. Kaiming He
3. Karen Simonyan
4. Shaoqing Ren
5. Wei David Liu
6. Alex Krizhevsky
7. Geoffrey E. Hinton
8. Andrew Zisserman
9. Ross B. Girshick
10. X. Zhang

Who trusts Peng Jiang overall

1. Lili Li
2. Jun Liu
3. Shujuan Zhang

Papers from Peng Jiang's perspective

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

Their papers

• Deep-Learning Inversion of Seismic Data (2019) — 337 citations
• Real-Time Detection of Apple Leaf Diseases Using Deep Learning Approach Based on Improved Convolutional Neural Networks (2019) — 654 citations