Ge Cui
Computer Vision and Pattern Recognition · 2024
A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 22 citations into it
Whom Ge Cui trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from Ge Cui's perspective
Ordered by how strongly the researchers Ge Cui trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Attention is All you Need (Neural Information Processing Systems)
- Fully convolutional networks for semantic segmentation
- Densely Connected Convolutional Networks
- U-Net: Convolutional Networks for Biomedical Image Segmentation (International Conference on Medical Image Computing and Computer-Assisted Intervention)
- An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale (International Conference on Learning Representations)
- ImageNet classification with deep convolutional neural networks
- Gradient-based learning applied to document recognition
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- ImageNet: A large-scale hierarchical image database
Their papers
- Mamba-UNet: UNet-Like Pure Visual Mamba for Medical Image Segmentation (2024) — 352 citations