Guangwei Gao

Computer Vision and Pattern Recognition · 2019

A researcher in the Science corpus: 1 paper; trusts 30 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 25 citations into it

Whom Guangwei Gao trusts overall

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

1. Kaiming He
2. Christian Szegedy

Papers from Guangwei Gao's perspective

Ordered by how strongly the researchers Guangwei Gao 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. ImageNet classification with deep convolutional neural networks
4. Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation
5. Fully convolutional networks for semantic segmentation
6. Gradient-based learning applied to document recognition
7. ImageNet: A large-scale hierarchical image database
8. Rethinking the Inception Architecture for Computer Vision
9. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Lednet: A Lightweight Encoder-Decoder Network for Real-Time Semantic Segmentation (2019) — 385 citations