Yuchen Qiu

Computer Vision and Pattern Recognition · 2020–2021

A researcher in the Science corpus: 2 papers; trusts 141 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 179 citations into it
• Artificial Intelligence — 142 citations into it

Whom Yuchen Qiu trusts overall

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

1. Diederik P. Kingma
2. Geoffrey E. Hinton

Papers from Yuchen Qiu's perspective

Ordered by how strongly the researchers Yuchen Qiu 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Long Short-Term Memory
5. ImageNet: A large-scale hierarchical image database
6. ImageNet Large Scale Visual Recognition Challenge
7. Going deeper with convolutions
8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
9. GENERATIVE ADVERSARIAL NETS
10. Auto-Encoding Variational Bayes (International Conference on Learning Representations)

Their papers

• Recent advances and clinical applications of deep learning in medical image analysis (2021) — 981 citations
• Improving performance of CNN to predict likelihood of COVID-19 using chest X-ray images with preprocessing algorithms (2020) — 372 citations