Shijia Hu

Computer Vision and Pattern Recognition · 2020

A researcher in the Science corpus: 1 paper; trusts 29 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 19 citations into it; #19,733 of 21,575 by trust here, #8,722 by citations
• Generative Models — 8 citations into it; #1,808 of 1,956 by trust here, #989 by citations

Whom Shijia Hu trusts overall

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

1. Tero Karras
2. Karen Simonyan
3. Kaiming He
4. Andrew Zisserman

Who trusts Shijia Hu overall

1. Chitwan Saharia
2. Xintao Wang

Papers from Shijia Hu's perspective

Ordered by how strongly the researchers Shijia Hu 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. GENERATIVE ADVERSARIAL NETS
4. Gradient-based learning applied to document recognition
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. ImageNet Large Scale Visual Recognition Challenge
7. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
8. Going deeper with convolutions
9. ImageNet: A large-scale hierarchical image database
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• PULSE: Self-Supervised Photo Upsampling via Latent Space Exploration of Generative Models (2020) — 648 citations