Qi Kunlun

Computer Vision and Pattern Recognition · 2016

A researcher in the Science corpus: 1 paper; trusts 8 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 15 citations into it
• Media Technology — 5 citations into it

Whom Qi Kunlun trusts overall

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

1. Yi Yang
2. Chih-Wei Hsu
3. Jianchao Yang
4. Silvio Savarese
5. Chih-Jen Lin
6. Kunlun Qi
7. Andrew Zisserman
8. Geoffrey E. Hinton
9. Shawn D. Newsam
10. John M. Winn

Papers from Qi Kunlun's perspective

Ordered by how strongly the researchers Qi Kunlun 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. Gradient-based learning applied to document recognition
4. ImageNet: A large-scale hierarchical image database
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Long Short-Term Memory
7. Attention is All you Need (Neural Information Processing Systems)
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

• Sparse coding-based correlaton model for land-use scene classification in high-resolution remote-sensing images (2016) — 16 citations