Xin Ge

Computer Vision and Pattern Recognition · 2020

A researcher in the Science corpus: 1 paper; trusts 15 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 28 citations into it
• Media Technology — 17 citations into it

Whom Xin Ge trusts overall

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

1. A. Bovik
2. Kede Ma
3. Jongyoo Kim
4. Karen Simonyan

Papers from Xin Ge's perspective

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

1. ImageNet classification with deep convolutional neural networks
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. ImageNet: A large-scale hierarchical image database
4. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Gradient-based learning applied to document recognition
7. Learning Multiple Layers of Features from Tiny Images
8. ImageNet Large Scale Visual Recognition Challenge
9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
10. Learning a similarity metric discriminatively, with application to face verification

Their papers

• Blindly Assess Image Quality in the Wild Guided by a Self-Adaptive Hyper Network (2020) — 927 citations