Wei Yin
Computer Vision and Pattern Recognition · Optics and lasers in engineering · 2018–2022
A researcher in the Science corpus: 3 papers; trusts 8 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 158 citations into it
- Media Technology — 53 citations into it
- Mechanical Engineering — 25 citations into it
- Atomic and Molecular Physics, and Optics — 16 citations into it
- Biomedical Engineering — 11 citations into it
- Radiation — 8 citations into it
Whom Wei Yin trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from Wei Yin's perspective
Ordered by how strongly the researchers Wei Yin 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)
- Backpropagation Applied to Handwritten Zip Code Recognition
- Fully convolutional networks for semantic segmentation
- This PDF file includes: Materials and Methods
- A Fast Learning Algorithm for Deep Belief Nets
- Gradient-based learning applied to document recognition
- U-Net: Convolutional Networks for Biomedical Image Segmentation (International Conference on Medical Image Computing and Computer-Assisted Intervention)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Fast R-CNN
Their papers
- Deep learning in optical metrology: a review (2022) — 615 citations
- Fringe pattern analysis using deep learning (2018) — 415 citations
- Phase shifting algorithms for fringe projection profilometry: A review (2018) — 1,097 citations