Hanbing Wei

Computer Vision and Pattern Recognition · 2022

A researcher in the Science corpus: 2 papers; trusts 234 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 80 citations into it
• Artificial Intelligence — 44 citations into it
• Model Architectures — 18 citations into it
• Efficiency & Compression — 12 citations into it
• Radiology, Nuclear Medicine and Imaging — 8 citations into it
• Neurology — 6 citations into it

Whom Hanbing Wei trusts overall

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

1. Ross B. Girshick
2. Kaiming He
3. Alex Krizhevsky
4. Geoffrey E. Hinton
5. Joseph Redmon
6. Karen Simonyan
7. Yoshua Bengio
8. Ilya Sutskever
9. Chien-Yao Wang
10. Andrew Zisserman

Papers from Hanbing Wei's perspective

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

Their papers

• Slim-neck by GSConv: a lightweight-design for real-time detector architectures (2022) — 560 citations
• Slim-neck by GSConv: A better design paradigm of detector architectures for autonomous vehicles (2022) — 471 citations