Haichao Wang

Computer Vision and Pattern Recognition · with Wang · 2017–2020

A researcher in the Science corpus: 2 papers; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 15 citations into it

Whom Haichao Wang trusts

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

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

Papers from Haichao Wang's perspective

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

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

Their papers

• Deep-learning-based ghost imaging (2017) — 365 citations
• Phase imaging with an untrained neural network (2020) — 369 citations