Xiaoxing Ye

Computer Vision and Pattern Recognition · 2020

A researcher in the Science corpus: 1 paper; trusts 33 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 46 citations into it
• Media Technology — 32 citations into it
• Evaluation & Benchmarks — 11 citations into it

Whom Xiaoxing Ye trusts overall

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

1. Hamid R. Sheikh
2. Richard Zhang
3. Alex Krizhevsky
4. Karen Simonyan
5. A. Bovik
6. Zhou Wang
7. Geoffrey E. Hinton

Papers from Xiaoxing Ye's perspective

Ordered by how strongly the researchers Xiaoxing Ye trusts endorse each paper. Same corpus, a different order for every researcher.

1. ImageNet classification with deep convolutional neural networks
2. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Gradient-based learning applied to document recognition
6. ImageNet: A large-scale hierarchical image database
7. ImageNet Large Scale Visual Recognition Challenge
8. Attention is All you Need (Neural Information Processing Systems)
9. Going deeper with convolutions
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• PIPAL: a Large-Scale Image Quality Assessment Dataset for Perceptual Image Restoration (2020) — 298 citations