Ni Chen

Computer Vision and Pattern Recognition · with Wang · 2017

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

Subfields

• Computer Vision and Pattern Recognition — 5 citations into it

Whom Ni Chen trusts

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

1. Li Deng (in Computer Vision and Pattern Recognition)

Papers from Ni Chen's perspective

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

1. Deep Learning
2. Stable signal recovery from incomplete and inaccurate measurements
3. The MNIST Database of Handwritten Digit Images for Machine Learning Research [Best of the Web]
4. Differential ghost imaging. (Physical Review Letters)
5. Ghost imaging lidar via sparsity constraints
6. Lensless computational imaging through deep learning (arXiv.org)
7. Compressive ghost imaging
8. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
9. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Deep-learning-based ghost imaging (2017) — 365 citations