Xia Hua

Computer Vision and Pattern Recognition · with Zhang · 2018–2022

A researcher in the Science corpus: 2 papers; trusts 156 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 31 citations into it
• Artificial Intelligence — 13 citations into it
• Model Architectures — 5 citations into it

Whom Xia Hua 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. Tsung-Yi Lin
6. Jia Deng
7. Yann LeCun
8. Yoshua Bengio
9. Diederik P. Kingma
10. Andrew Zisserman

Papers from Xia Hua's perspective

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

Their papers

• Box-supervised Instance Segmentation with Level Set Evolution (2022) — 86 citations
• Wind power prediction based on variational mode decomposition multi-frequency combinations (2018) — 95 citations