Mading Li

Computer Vision and Pattern Recognition · 2018

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 20 citations into it; #14,193 of 21,575 by trust here, #11,498 by citations

Whom Mading Li trusts overall

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

1. Xueyang Fu
2. Kaiming He
3. Jean-Yves Audibert
4. Xiaojie Guo
5. Kin Gwn Lore
6. David R. Martin
7. Kostadin Dabov
8. Yu Li
9. Ke Gu
10. Xiaoou Tang

Who trusts Mading Li overall

1. Wenhan Yang
2. Chongyi Li
3. Chunle Guo
4. Yonghua Zhang
5. Jing Zhang
6. Jiaying Liu
7. Peixian Zhuang
8. Feifan Lv
9. Xiaogang Xu
10. Wenjing Wang

Papers from Mading Li's perspective

Ordered by how strongly the researchers Mading Li 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Gradient-based learning applied to document recognition
5. ImageNet: A large-scale hierarchical image database
6. Attention is All you Need (Neural Information Processing Systems)
7. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
8. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
9. ImageNet Large Scale Visual Recognition Challenge
10. Long Short-Term Memory

Their papers

• Structure-Revealing Low-Light Image Enhancement Via Robust Retinex Model (2018) — 1,113 citations