Liang Shen

Computer Vision and Pattern Recognition · with Chen · 2017

A researcher in the Science corpus: 1 paper; trusts 9 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 23 citations into it; #17,924 of 21,575 by trust here, #14,478 by citations
• Media Technology — 9 citations into it

Whom Liang Shen trusts overall

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

1. Mohinder Malhotra
2. Zhou Wang
3. Kaiming He
4. Gerald Schaefer
5. Pablo Arbeláez
6. Alex Krizhevsky
7. A. Bovik
8. Anish Mittal
9. Xueyang Fu
10. Kede Ma

Who trusts Liang Shen overall

1. Wenhan Yang
2. Yonghua Zhang
3. Wenjing Wang
4. Yuen Peng Loh
5. Feifan Lv
6. Jiaying Liu
7. Syed Waqas Zamir
8. Wencheng Wang
9. Tao Wang
10. Yufei Wang

Papers from Liang Shen's perspective

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

Their papers

• MSR-net: Low-light Image Enhancement Using Deep Convolutional Network (2017) — 313 citations