Xiao Wu
Computer Vision and Pattern Recognition · with Feng · 2016–2017
A researcher in the Science corpus: 2 papers; trusts 511 researchers and is trusted by 2 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 92 citations into it; #18,653 of 21,575 by trust here, #9,722 by citations
- Artificial Intelligence — 47 citations into it; #34,004 of 35,345 by trust here, #18,186 by citations
- Model Architectures — 15 citations into it
- Representation & Self-Supervised Learning — 7 citations into it
- Ecology — 5 citations into it
- Molecular Biology — 5 citations into it
Whom Xiao Wu trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Karen Simonyan
- Ross B. Girshick
- Alex Krizhevsky
- Geoffrey E. Hinton
- Andrew Zisserman
- Ilya Sutskever
- Yann LeCun
- Kaiming He
- Yoshua Bengio
- Christian Szegedy
Who trusts Xiao Wu overall
Papers from Xiao Wu's perspective
Ordered by how strongly the researchers Xiao Wu trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet: A large-scale hierarchical image database
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- Gradient-based learning applied to document recognition
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Attention is All you Need (Neural Information Processing Systems)
- Going deeper with convolutions
- ImageNet Large Scale Visual Recognition Challenge
Their papers
- Diversified Visual Attention Networks for Fine-Grained Object Classification (2016) — 381 citations
- A survey on deep learning-based fine-grained object classification and semantic segmentation (2017) — 307 citations