Jun Ye
Computer Vision and Pattern Recognition · with Hua · 2015
A researcher in the Science corpus: 1 paper; trusts 29 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 17 citations into it
- Biomedical Engineering — 8 citations into it
- Human-Computer Interaction — 8 citations into it
Whom Jun Ye trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Xiaodong Yang
- Chih-Jen Lin
- Omar Oreifej
- Fengjun Lv
- Meinard Müller
- Svetlana Lazebnik
- Wanqing Li
- Zicheng Liu
- Raviteja Vemulapalli
- Y. Zhu
Papers from Jun Ye's perspective
Ordered by how strongly the researchers Jun Ye 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)
- Long Short-Term Memory
- 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
- Attention is All you Need (Neural Information Processing Systems)
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Going deeper with convolutions
- ImageNet Large Scale Visual Recognition Challenge