June-Goo Lee
Computer Vision and Pattern Recognition · 2017–2020
A researcher in the Science corpus: 2 papers; trusts 29 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 57 citations into it
- Artificial Intelligence — 34 citations into it
- Radiology, Nuclear Medicine and Imaging — 17 citations into it
Whom June-Goo Lee trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Geoffrey E. Hinton
- Dan Claudiu Ciresan
- Yann LeCun
- Yoshua Bengio
- Alex Krizhevsky
- Lijuan Cao
- Ilya Sutskever
- Kaiming He
- J. Urgen Schmidhuber
- Diederik P. Kingma
Who trusts June-Goo Lee overall
Papers from June-Goo Lee's perspective
Ordered by how strongly the researchers June-Goo Lee 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)
- Gradient-based learning applied to document recognition
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet: A large-scale hierarchical image database
- ImageNet Large Scale Visual Recognition Challenge
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Learning Multiple Layers of Features from Tiny Images
Their papers
- CycleMorph: Cycle Consistent Unsupervised Deformable Image Registration (2020) — 297 citations
- Deep Learning in Medical Imaging: General Overview (2017) — 1,168 citations