Jia Liu

Computer Vision and Pattern Recognition · with Gao · 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 Jia Liu trusts overall

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

1. Kaiming He
2. Christian Szegedy
3. Ross B. Girshick
4. Alex Krizhevsky
5. Geoffrey E. Hinton
6. Yann LeCun
7. Hengshuang Zhao
8. Yoshua Bengio
9. X. Zhang
10. Karen Simonyan

Papers from Jia Liu's perspective

Ordered by how strongly the researchers Jia Liu 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. ImageNet classification with deep convolutional neural networks
3. Going deeper with convolutions
4. ImageNet: A large-scale hierarchical image database
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Gradient-based learning applied to document recognition
7. Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation
8. Long Short-Term Memory
9. ImageNet Large Scale Visual Recognition Challenge
10. Attention is All you Need (Neural Information Processing Systems)

Their papers

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