Xiaojin Wu

Computer Vision and Pattern Recognition · 2020

A researcher in the Science corpus: 1 paper; trusts 49 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 63 citations into it
• Media Technology — 25 citations into it
• Evaluation & Benchmarks — 6 citations into it

Whom Xiaojin Wu trusts overall

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

1. A. Bovik
2. Hamid R. Sheikh
3. Anish Mittal
4. Zhou Wang
5. Lin Zhang
6. Ke Gu
7. Xueyang Fu
8. Ali Moghaddamjo Reza
9. Lei Zhang
10. Turgay Çelik

Papers from Xiaojin Wu's perspective

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

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

Their papers

• An Experiment-Based Review of Low-Light Image Enhancement Methods (2020) — 329 citations