Chao-qun Hong

Computer Vision and Pattern Recognition · 2013–2015

A researcher in the Science corpus: 2 papers; trusts 55 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 37 citations into it
• Representation & Self-Supervised Learning — 11 citations into it
• Artificial Intelligence — 10 citations into it

Whom Chao-qun Hong trusts overall

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

1. Dacheng Tao
2. R. Fisher
3. Geoffrey E. Hinton
4. Sam T. Roweis
5. Yoshua Bengio
6. Alex Krizhevsky
7. Mikhail Belkin
8. Kaiming He
9. Diederik P. Kingma
10. Yann LeCun

Who trusts Chao-qun Hong overall

1. Nikolaos Sarafianos
2. Bugra Tekin
3. Bogdan Andrei Boteanu

Papers from Chao-qun Hong's perspective

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

Their papers

• Multimodal Deep Autoencoder for Human Pose Recovery (2015) — 553 citations
• Multi-view hypergraph learning by patch alignment framework (2013) — 35 citations