Kai Wang
Computer Vision and Pattern Recognition · with Lian · 2019–2020
A researcher in the Science corpus: 2 papers; trusts 804 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 232 citations into it
- Aerospace Engineering — 72 citations into it
- Control and Systems Engineering — 50 citations into it
- Artificial Intelligence — 49 citations into it
- Generative Models — 45 citations into it
- Computational Mechanics — 34 citations into it
- Geology — 33 citations into it
- Biomedical Engineering — 19 citations into it
Whom Kai Wang trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Geoffrey E. Hinton
- Kaiming He
- Alex Krizhevsky
- Diederik P. Kingma
- Ross B. Girshick
- Yoshua Bengio
- Yann LeCun
- Ilya Sutskever
- Karen Simonyan
- Christian Szegedy
Who trusts Kai Wang overall
Papers from Kai Wang's perspective
Ordered by how strongly the researchers Kai Wang trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- ImageNet: A large-scale hierarchical image database
- Attention is All you Need (Neural Information Processing Systems)
- Gradient-based learning applied to document recognition
- Long Short-Term Memory
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- ImageNet Large Scale Visual Recognition Challenge
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)