Mingu Kang
Computer Vision and Pattern Recognition · 2020
A researcher in the Science corpus: 1 paper; trusts 300 researchers and is trusted by 4 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 46 citations into it; #14,967 of 21,575 by trust here, #18,782 by citations
- Generative Models — 36 citations into it; #1,438 of 1,956 by trust here, #1,796 by citations
- Artificial Intelligence — 23 citations into it
- Representation & Self-Supervised Learning — 8 citations into it
- Optimization & Training — 7 citations into it
- Media Technology — 6 citations into it
- Model Architectures — 6 citations into it
Whom Mingu Kang trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Alex Krizhevsky
- Geoffrey E. Hinton
- Kaiming He
- Diederik P. Kingma
- Yoshua Bengio
- Yann LeCun
- Christian Szegedy
- Karen Simonyan
- Takeru Miyato
- Ilya Sutskever
Who trusts Mingu Kang overall
Papers from Mingu Kang's perspective
Ordered by how strongly the researchers Mingu Kang 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)
- ImageNet: A large-scale hierarchical image database
- Gradient-based learning applied to document recognition
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
- Learning Multiple Layers of Features from Tiny Images
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- ImageNet Large Scale Visual Recognition Challenge
Their papers
- ContraGAN: Contrastive Learning for Conditional Image Generation (2020) — 213 citations