Feifei Li
Computer Vision and Pattern Recognition · with Ma · 2023–2024
A researcher in the Science corpus: 2 papers; trusts 58 researchers and is trusted by 3 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 43 citations into it; #17,093 of 21,575 by trust here, #15,529 by citations
- Artificial Intelligence — 24 citations into it; #28,148 of 35,345 by trust here, #23,731 by citations
- Model Architectures — 16 citations into it
- Optimization & Training — 7 citations into it
- Neurology — 6 citations into it
- Biophysics — 5 citations into it
Whom Feifei Li trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Diederik P. Kingma
- Jimmy Ba
- Kaiming He
- Geoffrey E. Hinton
- Andrew L. Maas
- Alex Krizhevsky
- Andriy Myronenko
- Yoshua Bengio
- Ilya Loshchilov
- Yann LeCun
Who trusts Feifei Li overall
Papers from Feifei Li's perspective
Ordered by how strongly the researchers Feifei Li 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
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Attention is All you Need (Neural Information Processing Systems)
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- Long Short-Term Memory
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
- Learning Multiple Layers of Features from Tiny Images
Their papers
- U-Mamba: Enhancing Long-range Dependency for Biomedical Image Segmentation (2024) — 896 citations
- Segment anything in medical images (2023) — 1,437 citations