Zhiping Lin
Computer Vision and Pattern Recognition · with Kang · 2021
A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 15 citations into it
- Media Technology — 5 citations into it
Whom Zhiping Lin trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from Zhiping Lin's perspective
Ordered by how strongly the researchers Zhiping Lin 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
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- Attention is All you Need (Neural Information Processing Systems)
- Going deeper with convolutions
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- Learning Multiple Layers of Features from Tiny Images
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
Their papers
- Structured Graph Learning for Scalable Subspace Clustering: From Single View to Multiview (2021) — 323 citations