Qiyang Hu

Computer Vision and Pattern Recognition · 2017–2021

A researcher in the Science corpus: 3 papers; trusts 155 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 51 citations into it; #19,677 of 21,575 by trust here, #14,478 by citations
• Generative Models — 25 citations into it
• Artificial Intelligence — 22 citations into it; #32,042 of 35,345 by trust here, #24,417 by citations

Whom Qiyang Hu trusts overall

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

1. Diederik P. Kingma
2. Geoffrey E. Hinton
3. Alex Krizhevsky
4. Karen Simonyan
5. Yoshua Bengio
6. Kaiming He
7. Yann LeCun
8. Andrew Zisserman
9. Ian J. Goodfellow
10. Ilya Sutskever

Who trusts Qiyang Hu overall

1. Aviv Gabbay
2. Youngjoo Jo

Papers from Qiyang Hu's perspective

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

Their papers

• Faceshop (2018) — 98 citations
• Challenges in Disentangling Independent Factors of Variation (2017) — 52 citations
• Addressing bias in big data and AI for health care: A call for open science (2021) — 711 citations