Minguk Kang

Computer Vision and Pattern Recognition · 2023

A researcher in the Science corpus: 1 paper; trusts 56 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 81 citations into it
• Generative Models — 64 citations into it

Whom Minguk Kang trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Geoffrey E. Hinton
2. Diederik P. Kingma
3. Alex Krizhevsky
4. Yoshua Bengio
5. Kaiming He
6. Ilya Sutskever
7. Yann LeCun
8. Jonathan Ho
9. Alec Radford
10. Karen Simonyan

Who trusts Minguk Kang overall

1. Axel Sauer
2. Tero Karras
3. Junsong Chen
4. Xingchao Liu
5. Keyu Tian
6. Yinghao Xu
7. Yi Jiang
8. Peize Sun
9. Sihyun Yu
10. Jiahao Li

Papers from Minguk Kang's perspective

Ordered by how strongly the researchers Minguk Kang trusts endorse each paper. Same corpus, a different order for every researcher.

1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
2. ImageNet classification with deep convolutional neural networks
3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Attention is All you Need (Neural Information Processing Systems)
5. ImageNet: A large-scale hierarchical image database
6. Long Short-Term Memory
7. Gradient-based learning applied to document recognition
8. ImageNet Large Scale Visual Recognition Challenge
9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• Scaling up GANs for Text-to-Image Synthesis (2023) — 693 citations