Jun Miao
Computer Vision and Pattern Recognition · 2011–2015
A researcher in the Science corpus: 2 papers; trusts 52 researchers and is trusted by 1 researcher here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 28 citations into it; #21,274 of 21,575 by trust here, #16,787 by citations
- Artificial Intelligence — 10 citations into it
- Biomedical Engineering — 6 citations into it
Whom Jun Miao trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Who trusts Jun Miao overall
Papers from Jun Miao's perspective
Ordered by how strongly the researchers Jun Miao 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)
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Going deeper with convolutions
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet Large Scale Visual Recognition Challenge
- Long Short-Term Memory
Their papers
- Visual saliency detection by spatially weighted dissimilarity (2011) — 303 citations
- Activity Auto-Completion: Predicting Human Activities from Partial Videos (2015) — 48 citations