Minjae Kim
Computer Vision and Pattern Recognition · 2019
A researcher in the Science corpus: 1 paper; trusts 221 researchers and is trusted by 3 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 34 citations into it; #14,773 of 21,575 by trust here, #15,529 by citations
- Generative Models — 22 citations into it; #1,395 of 1,956 by trust here, #1,601 by citations
- Artificial Intelligence — 6 citations into it
Whom Minjae Kim trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Diederik P. Kingma
- Geoffrey E. Hinton
- Kaiming He
- Alex Krizhevsky
- Christian Szegedy
- Jimmy Ba
- Xun Huang
- Yoshua Bengio
- Yann LeCun
- Ming-Yu Liu
Who trusts Minjae Kim overall
- Li Luo
- Yang Zhao
- Jiaxian Guo
- Lei Huang
- Yimin Jiang
- Guoxian Song
- Ping Yu
- Jie Qin
- Jiacheng Li
- Yibo Zhu
Papers from Minjae Kim's perspective
Ordered by how strongly the researchers Minjae Kim 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)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- Attention is All you Need (Neural Information Processing Systems)
- 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)
- Going deeper with convolutions
- GENERATIVE ADVERSARIAL NETS