Haoming Cai

Computer Vision and Pattern Recognition · 2020

A researcher in the Science corpus: 1 paper; trusts 33 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 46 citations into it
• Media Technology — 32 citations into it
• Evaluation & Benchmarks — 11 citations into it

Whom Haoming Cai trusts overall

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

1. Hamid R. Sheikh
2. Richard Zhang
3. Alex Krizhevsky
4. Karen Simonyan
5. A. Bovik
6. Geoffrey E. Hinton
7. Zhou Wang
8. Ilya Sutskever
9. Andrew Zisserman
10. Kaiming He

Who trusts Haoming Cai overall

1. Jinjin Gu
2. Jianyi Wang

Papers from Haoming Cai's perspective

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

Their papers

• PIPAL: a Large-Scale Image Quality Assessment Dataset for Perceptual Image Restoration (2020) — 298 citations