Qing Yu

Computer Vision and Pattern Recognition · with Aizawa · 2019

A researcher in the Science corpus: 1 paper; trusts 185 researchers and is trusted by 7 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 20 citations into it; #10,702 of 21,575 by trust here, #16,367 by citations
• Artificial Intelligence — 19 citations into it; #16,868 of 35,345 by trust here, #25,040 by citations

Whom Qing Yu trusts overall

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

1. Alex Krizhevsky
2. Kaiming He
3. Geoffrey E. Hinton
4. Jia Deng
5. Individualized Treat
6. Sergey Zagoruyko
7. Dan Hendrycks
8. Yoshua Bengio
9. Diederik P. Kingma
10. Yann LeCun

Who trusts Qing Yu overall

1. Jingkang Yang
2. Haoqi Wang
3. Mohammad Rostami
4. Saikiran Bulusu
5. Yu Liu
6. Keke Tang
7. Litong Feng
8. Zhizhong Li
9. Leonidas Spinoulas
10. Bhavya Kailkhura

Papers from Qing Yu's perspective

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

1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
2. ImageNet classification with deep convolutional neural networks
3. ImageNet: A large-scale hierarchical image database
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Gradient-based learning applied to document recognition
6. Attention is All you Need (Neural Information Processing Systems)
7. Long Short-Term Memory
8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
9. Learning Multiple Layers of Features from Tiny Images
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Unsupervised Out-of-Distribution Detection by Maximum Classifier Discrepancy (2019) — 200 citations