Houqiang Li

Computer Vision and Pattern Recognition · with Bao · 2017

A researcher in the Science corpus: 1 paper; trusts 49 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 31 citations into it
• Generative Models — 29 citations into it
• Artificial Intelligence — 12 citations into it

Whom Houqiang Li trusts overall

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

1. Geoffrey E. Hinton
2. Alex Krizhevsky
3. Diederik P. Kingma
4. Yoshua Bengio
5. Ilya Sutskever
6. Alexey Dosovitskiy
7. Yann LeCun
8. Christian Szegedy
9. Kaiming He
10. Andrew Zisserman

Papers from Houqiang Li's perspective

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

1. ImageNet classification with deep convolutional neural networks
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. Going deeper with convolutions
4. Gradient-based learning applied to document recognition
5. GENERATIVE ADVERSARIAL NETS
6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
7. ImageNet: A large-scale hierarchical image database
8. Attention is All you Need (Neural Information Processing Systems)
9. Long Short-Term Memory
10. Auto-Encoding Variational Bayes (International Conference on Learning Representations)

Their papers

• CVAE-GAN: Fine-Grained Image Generation through Asymmetric Training (2017) — 266 citations