Weixiang Liu

Computer Vision and Pattern Recognition · 2017

A researcher in the Science corpus: 1 paper; trusts 11 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 24 citations into it
• Artificial Intelligence — 16 citations into it

Whom Weixiang Liu trusts overall

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

1. Chih-Jen Lin

Papers from Weixiang Liu's perspective

Ordered by how strongly the researchers Weixiang Liu trusts endorse each paper. Same corpus, a different order for every researcher.

1. ImageNet classification with deep convolutional neural networks
2. ImageNet: A large-scale hierarchical image database
3. Going deeper with convolutions
4. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
5. Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation
6. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
7. Gradient-based learning applied to document recognition
8. DeCAF: A Deep Convolutional Activation Feature for Generic Visual Recognition
9. Visualizing and Understanding Convolutional Networks
10. CNN Features Off-the-Shelf: An Astounding Baseline for Recognition

Their papers

• Convolutional neural networks based transfer learning for diabetic retinopathy fundus image classification (2017) — 158 citations