Yu Qiu

Computer Vision and Pattern Recognition · with Chhatkuli · 2021

A researcher in the Science corpus: 1 paper; trusts 170 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 55 citations into it
• Artificial Intelligence — 38 citations into it
• Model Architectures — 32 citations into it

Whom Yu Qiu trusts overall

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

1. Kaiming He
2. Christian Szegedy
3. Ross B. Girshick
4. Alex Krizhevsky
5. Geoffrey E. Hinton
6. Karen Simonyan
7. Yoshua Bengio
8. Yann LeCun
9. Andrew Zisserman
10. Diederik P. Kingma

Papers from Yu Qiu's perspective

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

Their papers

• Transformer in Convolutional Neural Networks (2021) — 71 citations