Yong Xu
Computer Vision and Pattern Recognition · IEEE transactions on circuits and systems for video technology (Print) · 2005–2014
A researcher in the Science corpus: 3 papers; trusts 8 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 27 citations into it
- Computational Mechanics — 24 citations into it
- Statistical Learning Theory — 5 citations into it
Whom Yong Xu trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Masashi Sugiyama
- John Wright
- Bernhard Schölkopf
- Ehsan Elhamifar
- K. Müller
- Julien Mairal
- P. Jonathon Phillips
- Alex Smola
- Jian Yang
- Francis R. Bach
Who trusts Yong Xu overall
Papers from Yong Xu's perspective
Ordered by how strongly the researchers Yong Xu 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
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- ImageNet: A large-scale hierarchical image database
- Long Short-Term Memory
- Learning Multiple Layers of Features from Tiny Images
- Attention is All you Need (Neural Information Processing Systems)
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
Their papers
- Nuclear Norm Based Matrix Regression with Applications to Face Recognition with Occlusion and Illumination Changes (2014) — 350 citations
- A Two-Phase Test Sample Sparse Representation Method for Use With Face Recognition (2011) — 504 citations
- Two-dimensional discriminant transform for face recognition (2005) — 336 citations