Weizhi An

Computer Vision and Pattern Recognition · 2020–2021

A researcher in the Science corpus: 2 papers; trusts 128 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 48 citations into it
• Artificial Intelligence — 40 citations into it
• Biomedical Engineering — 7 citations into it
• Model Architectures — 6 citations into it

Whom Weizhi An trusts overall

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

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

Papers from Weizhi An's perspective

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

Their papers

• Exploring Robustness of Unsupervised Domain Adaptation in Semantic Segmentation (2021) — 35 citations
• A model-based gait recognition method with body pose and human prior knowledge (2020) — 497 citations