Yueh-Hua Wu

Computer Vision and Pattern Recognition · 2019–2021

A researcher in the Science corpus: 2 papers; trusts 175 researchers and is trusted by 6 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 84 citations into it; #11,898 of 21,575 by trust here, #8,021 by citations
• Artificial Intelligence — 45 citations into it; #19,043 of 35,345 by trust here, #11,490 by citations
• Model Architectures — 10 citations into it
• Efficiency & Compression — 9 citations into it

Whom Yueh-Hua Wu trusts overall

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

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

Who trusts Yueh-Hua Wu overall

1. Chien-Yao Wang
2. Juan R. Terven

Papers from Yueh-Hua Wu's perspective

Ordered by how strongly the researchers Yueh-Hua Wu 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. Attention is All you Need (Neural Information Processing Systems)
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

• DexMV: Imitation Learning for Dexterous Manipulation from Human Videos (2021) — 328 citations
• CSPNet: A New Backbone that can Enhance Learning Capability of CNN (2019) — 4,207 citations