Geonho Hwang
Computer Vision and Pattern Recognition · 2021
A researcher in the Science corpus: 1 paper; trusts 24 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 25 citations into it
- Generative Models — 22 citations into it
- Artificial Intelligence — 7 citations into it
Whom Geonho Hwang trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from Geonho Hwang's perspective
Ordered by how strongly the researchers Geonho Hwang trusts endorse each paper. Same corpus, a different order for every researcher.
- GENERATIVE ADVERSARIAL NETS
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Auto-Encoding Variational Bayes (International Conference on Learning Representations)
- Rectified Linear Units Improve Restricted Boltzmann Machines
- Gradient-based learning applied to document recognition
- Attention is All you Need (Neural Information Processing Systems)
- Learning Multiple Layers of Features from Tiny Images
- ImageNet: A large-scale hierarchical image database
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)