Qiang Zhai

Computer Vision and Pattern Recognition · 2021

A researcher in the Science corpus: 1 paper; trusts 90 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 37 citations into it
• Artificial Intelligence — 22 citations into it
• Probabilistic & Bayesian Methods — 9 citations into it

Whom Qiang Zhai trusts overall

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

1. Diederik P. Kingma
2. Kaiming He
3. Alex Krizhevsky
4. Geoffrey E. Hinton
5. Yarin Gal
6. Ilya Sutskever
7. Ross B. Girshick
8. Yoshua Bengio
9. Yann LeCun
10. Alex Kendall

Papers from Qiang Zhai's perspective

Ordered by how strongly the researchers Qiang Zhai 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. ImageNet: A large-scale hierarchical image database
6. Gradient-based learning applied to document recognition
7. Long Short-Term Memory
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

• Uncertainty-Guided Transformer Reasoning for Camouflaged Object Detection (2021) — 309 citations