Namwoo Kang

Computer Vision and Pattern Recognition · 2019

A researcher in the Science corpus: 1 paper; trusts 5 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 12 citations into it
• Civil and Structural Engineering — 10 citations into it
• Mechanics of Materials — 7 citations into it
• Computational Theory and Mathematics — 6 citations into it

Whom Namwoo Kang trusts overall

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

1. Ole Sigmund

Papers from Namwoo Kang's perspective

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

1. GENERATIVE ADVERSARIAL NETS
2. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
3. Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks
4. InfoGAN: Interpretable Representation Learning by Information Maximizing Generative Adversarial Nets
5. GANs Trained by a Two Time-Scale Update Rule Converge to a Local Nash Equilibrium
6. Conditional Generative Adversarial Nets
7. ImageNet classification with deep convolutional neural networks
8. Adversarial Feature Learning
9. Gradient-based learning applied to document recognition
10. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)

Their papers

• Deep Generative Design: Integration of Topology Optimization and Generative Models (2019) — 410 citations