Yixuan Yuan
Computer Vision and Pattern Recognition · with Li · 2024
A researcher in the Science corpus: 1 paper; trusts 20 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 48 citations into it
- Artificial Intelligence — 25 citations into it
Whom Yixuan Yuan trusts
Their strongest outbound trust, strongest first, inferred from their citations.
- Kaiming He (in Computer Vision and Pattern Recognition)
- Ross B. Girshick (in Computer Vision and Pattern Recognition)
- Alex Krizhevsky (in Computer Vision and Pattern Recognition)
- Andrew Zisserman (in Computer Vision and Pattern Recognition)
- Thomas Brox (in Computer Vision and Pattern Recognition)
- Karen Simonyan (in Computer Vision and Pattern Recognition)
- Shaoqing Ren (in Computer Vision and Pattern Recognition)
- Jitendra Malik (in Computer Vision and Pattern Recognition)
- Geoffrey E. Hinton (in Computer Vision and Pattern Recognition)
- X. Zhang (in Computer Vision and Pattern Recognition)
Papers from Yixuan Yuan's perspective
Ordered by how strongly the researchers Yixuan Yuan trusts endorse each paper. Same corpus, a different order for every researcher.
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
- GENERATIVE ADVERSARIAL NETS
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Layer Normalization
- ImageNet classification with deep convolutional neural networks
- U-Net: Convolutional Networks for Biomedical Image Segmentation (International Conference on Medical Image Computing and Computer-Assisted Intervention)
- Attention is All you Need (Neural Information Processing Systems)
- An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale (International Conference on Learning Representations)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- ImageNet: A large-scale hierarchical image database
Their papers
- U-KAN Makes Strong Backbone for Medical Image Segmentation and Generation (2024) — 528 citations