Zi-ze Liang

Computer Vision and Pattern Recognition · 2019–2020

A researcher in the Science corpus: 2 papers; trusts 30 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 26 citations into it
• Model Architectures — 7 citations into it

Whom Zi-ze Liang trusts overall

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

1. Joseph Redmon

Who trusts Zi-ze Liang overall

1. Diana-Margarita Córdova-Esparza
2. Juan R. Terven

Papers from Zi-ze Liang's perspective

Ordered by how strongly the researchers Zi-ze Liang 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. Fully convolutional networks for semantic segmentation
4. ImageNet classification with deep convolutional neural networks
5. U-Net: Convolutional Networks for Biomedical Image Segmentation (International Conference on Medical Image Computing and Computer-Assisted Intervention)
6. Gradient-based learning applied to document recognition
7. ImageNet: A large-scale hierarchical image database
8. SSD: Single Shot MultiBox Detector
9. ImageNet Large Scale Visual Recognition Challenge
10. Deep Learning

Their papers

• A Review on State-of-the-Art Power Line Inspection Techniques (2020) — 342 citations
• Apple detection during different growth stages in orchards using the improved YOLO-V3 model (2019) — 963 citations