Jinzhu Peng

Computer Vision and Pattern Recognition · 2020

A researcher in the Science corpus: 1 paper; trusts 25 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 17 citations into it

Whom Jinzhu Peng trusts overall

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

1. Kaiming He
2. Joseph Redmon

Papers from Jinzhu Peng's perspective

Ordered by how strongly the researchers Jinzhu Peng 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. Going deeper with convolutions
3. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
4. Fully convolutional networks for semantic segmentation
5. ImageNet classification with deep convolutional neural networks
6. Gradient-based learning applied to document recognition
7. U-Net: Convolutional Networks for Biomedical Image Segmentation (International Conference on Medical Image Computing and Computer-Assisted Intervention)
8. ImageNet: A large-scale hierarchical image database
9. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• A Review on State-of-the-Art Power Line Inspection Techniques (2020) — 342 citations