Jun Kong

Computer Vision and Pattern Recognition · 2015

A researcher in the Science corpus: 1 paper; trusts 35 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 21 citations into it
• Biomedical Engineering — 12 citations into it
• Human-Computer Interaction — 11 citations into it

Whom Jun Kong trusts overall

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

1. Lu Xia
2. Ivan Laptev
3. Xiaodong Yang
4. Brendan J. Frey
5. Omar Oreifej
6. Eshed Ohn-Bar
7. Tae-Kyun Kim
8. Gurkirt Singh
9. Marcin Marszalek
10. Wanqing Li

Who trusts Jun Kong overall

1. Enea Cippitelli
2. Pengfei Zhang

Papers from Jun Kong's perspective

Ordered by how strongly the researchers Jun Kong 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. Long Short-Term Memory
4. Gradient-based learning applied to document recognition
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
7. Histograms of oriented gradients for human detection
8. ImageNet: A large-scale hierarchical image database
9. Going deeper with convolutions
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Informative joints based human action recognition using skeleton contexts (2015) — 82 citations