Houlong Zhao

Computer Vision and Pattern Recognition · 2019–2020

A researcher in the Science corpus: 2 papers; trusts 434 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 106 citations into it
• Artificial Intelligence — 44 citations into it
• Model Architectures — 17 citations into it

Whom Houlong Zhao trusts overall

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

1. Kaiming He
2. Ross B. Girshick
3. Geoffrey E. Hinton
4. Alex Krizhevsky
5. Liang-Chieh Chen
6. Yann LeCun
7. Yoshua Bengio
8. Karen Simonyan
9. Christian Szegedy
10. Diederik P. Kingma

Who trusts Houlong Zhao overall

1. Sheng Fang

Papers from Houlong Zhao's perspective

Ordered by how strongly the researchers Houlong Zhao 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Attention is All you Need (Neural Information Processing Systems)
5. ImageNet: A large-scale hierarchical image database
6. Long Short-Term Memory
7. Gradient-based learning applied to document recognition
8. ImageNet Large Scale Visual Recognition Challenge
9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
10. Going deeper with convolutions

Their papers

• GFF: Gated Fully Fusion for Semantic Segmentation (2019) — 238 citations
• Semantic Flow for Fast and Accurate Scene Parsing (2020) — 448 citations