Chaoqiang Zhao

Computer Vision and Pattern Recognition · 2020–2022

A researcher in the Science corpus: 2 papers; trusts 236 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 103 citations into it
• Media Technology — 31 citations into it
• Aerospace Engineering — 28 citations into it
• Artificial Intelligence — 18 citations into it
• Model Architectures — 10 citations into it

Whom Chaoqiang Zhao trusts overall

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

1. Kaiming He
2. Geoffrey E. Hinton
3. Alex Krizhevsky
4. Ross B. Girshick
5. Yoshua Bengio
6. Diederik P. Kingma
7. Yann LeCun
8. David G. Lowe
9. Christian Szegedy
10. Clément Godard

Who trusts Chaoqiang Zhao overall

1. Andréa Macario Barros
2. Ning Zhang

Papers from Chaoqiang Zhao's perspective

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

Their papers

• MonoViT: Self-Supervised Monocular Depth Estimation with a Vision Transformer (2022) — 309 citations
• Monocular depth estimation based on deep learning: An overview (2020) — 296 citations