Qing-Long Zhang

Computer Vision and Pattern Recognition · 2021

A researcher in the Science corpus: 2 papers; trusts 568 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 56 citations into it
• Artificial Intelligence — 38 citations into it
• Model Architectures — 35 citations into it
• Optimization & Training — 11 citations into it
• Efficiency & Compression — 6 citations into it

Whom Qing-Long Zhang trusts overall

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

1. Kaiming He
2. Ross B. Girshick
3. Geoffrey E. Hinton
4. Alex Krizhevsky
5. Shaoqing Ren
6. Christian Szegedy
7. Yoshua Bengio
8. Sergey Ioffe
9. Yann LeCun
10. Ilya Sutskever

Who trusts Qing-Long Zhang overall

1. Fahad Shamshad
2. Salman Hameed Khan
3. Sijie Li
4. Wenxiao Wang
5. Syed Waqas Zamir

Papers from Qing-Long Zhang's perspective

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

Their papers

• ResT: An Efficient Transformer for Visual Recognition (2021) — 304 citations
• SA-Net: Shuffle Attention for Deep Convolutional Neural Networks (2021) — 777 citations