Ying Wei
Computer Vision and Pattern Recognition · with Ma · 2023
A researcher in the Science corpus: 1 paper; trusts 28 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 49 citations into it
- Artificial Intelligence — 22 citations into it
- Media Technology — 20 citations into it
- Evaluation & Benchmarks — 9 citations into it
- Optimization & Training — 5 citations into it
Whom Ying Wei trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Ilya Loshchilov
- A. Bovik
- Kede Ma
- Peng Ye
- Weixia Zhang
- Hamid R. Sheikh
- Geoffrey E. Hinton
- Zhou Wang
- Deepti Ghadiyaram
- Frank Hutter
Papers from Ying Wei's perspective
Ordered by how strongly the researchers Ying Wei trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- ImageNet: A large-scale hierarchical image database
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Attention is All you Need (Neural Information Processing Systems)
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- ImageNet Large Scale Visual Recognition Challenge
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
- Learning Multiple Layers of Features from Tiny Images