Yaqiang Wu
Computer Vision and Pattern Recognition · 2019
A researcher in the Science corpus: 1 paper; trusts 25 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 28 citations into it
- Artificial Intelligence — 12 citations into it
Whom Yaqiang Wu trusts
Their strongest outbound trust, strongest first, inferred from their citations.
- Andrew Zisserman (in Computer Vision and Pattern Recognition)
- Andrea Vedaldi (in Computer Vision and Pattern Recognition)
- Yoshua Bengio (in Computer Vision and Pattern Recognition)
- Karen Simonyan (in Computer Vision and Pattern Recognition)
- Matthew D. Zeiler (in Artificial Intelligence)
- Cong Yao (in Computer Vision and Pattern Recognition)
- Ross B. Girshick (in Computer Vision and Pattern Recognition)
- Kaiming He (in Computer Vision and Pattern Recognition)
- Alex Krizhevsky (in Computer Vision and Pattern Recognition)
- Kyunghyun Cho (in Computer Vision and Pattern Recognition)
Papers from Yaqiang Wu's perspective
Ordered by how strongly the researchers Yaqiang Wu trusts endorse each paper. Same corpus, a different order for every researcher.
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet classification with deep convolutional neural networks
- Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Learning Phrase Representations using RNN Encoder–Decoder for Statistical Machine Translation
- Gradient-based learning applied to document recognition
- Long Short-Term Memory
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Going deeper with convolutions
- ImageNet: A large-scale hierarchical image database
Their papers
- Decoupled Attention Network for Text Recognition (2019) — 294 citations