Jun Wan
Computer Vision and Pattern Recognition · with Ruan · 2013–2014
A researcher in the Science corpus: 2 papers; trusts 145 researchers and is trusted by 22 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 41 citations into it; #5,841 of 21,575 by trust here, #11,721 by citations
- Artificial Intelligence — 10 citations into it
- Human-Computer Interaction — 10 citations into it; #440 of 2,253 by trust here, #1,081 by citations
- Biomedical Engineering — 6 citations into it; #1,682 of 10,734 by trust here, #6,773 by citations
Whom Jun Wan trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- David G. Lowe
- Ivan Laptev
- Isabelle M Guyon
- Chih-Jen Lin
- Piotr Doll'ar
- Ming-yu Chen
- Li Fei-Fei
- Geoffrey E. Hinton
- Alex Krizhevsky
- Kaiming He
Who trusts Jun Wan overall
- Pichao Wang
- Jun Wan
- Wanqing Li
- Sergio Escalera
- Feng Jiang
- Jakub Konecný
- S. Li
- Jun Shu
- Guo-qing Guo
- Guangming Zhu
Papers from Jun Wan's perspective
Ordered by how strongly the researchers Jun Wan trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- Long Short-Term Memory
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Attention is All you Need (Neural Information Processing Systems)
- Going deeper with convolutions
- ImageNet Large Scale Visual Recognition Challenge