Jiliu Zhou

Computer Vision and Pattern Recognition · 2010–2018

A researcher in the Science corpus: 6 papers; trusts 15 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 91 citations into it; #20,202 of 21,575 by trust here, #10,334 by citations

Whom Jiliu Zhou trusts overall

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

1. S. Samko

Who trusts Jiliu Zhou overall

1. Arvid Lundervold
2. Michael T. McCann
3. Michael A. Unser
4. Kyong Hwan Jin

Papers from Jiliu Zhou's perspective

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

1. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
2. GENERATIVE ADVERSARIAL NETS
3. ImageNet classification with deep convolutional neural networks
4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
5. Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks
6. U-Net: Convolutional Networks for Biomedical Image Segmentation (International Conference on Medical Image Computing and Computer-Assisted Intervention)
7. Identity Mappings in Deep Residual Networks
8. Gradient-based learning applied to document recognition
9. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
10. Image-to-Image Translation with Conditional Adversarial Networks

Their papers

• Low-Dose CT With a Residual Encoder-Decoder Convolutional Neural Network (2017) — 1,621 citations
• Low-dose CT via convolutional neural network. (2017) — 688 citations
• LEARN: Learned Experts’ Assessment-Based Reconstruction Network for Sparse-Data CT (2017) — 408 citations
• Fusing multi-scale information in convolution network for MR image super-resolution reconstruction (2018) — 45 citations
• 3D conditional generative adversarial networks for high-quality PET image estimation at low dose (2018) — 421 citations
• Fractional Differential Mask: A Fractional Differential-Based Approach for Multiscale Texture Enhancement (2010) — 446 citations