Leixin Zhou

Computer Vision and Pattern Recognition · 2020

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

Subfields

• Computer Vision and Pattern Recognition — 7 citations into it

Whom Leixin Zhou trusts overall

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

1. Christoph Baur
2. Paul Bergmann
3. Diederik P. Kingma
4. Irina Higgins
5. Ian J. Goodfellow
6. Individualized Treat
7. David C. Van Essen
8. Benedikt Wiestler
9. Michael Fauser
10. Oriol Vinyals

Papers from Leixin Zhou's perspective

Ordered by how strongly the researchers Leixin Zhou 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. GENERATIVE ADVERSARIAL NETS
3. ImageNet classification with deep convolutional neural networks
4. Auto-Encoding Variational Bayes (International Conference on Learning Representations)
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Gradient-based learning applied to document recognition
7. Attention is All you Need (Neural Information Processing Systems)
8. Learning Multiple Layers of Features from Tiny Images
9. Long Short-Term Memory
10. ImageNet: A large-scale hierarchical image database

Their papers

• Unsupervised anomaly localization using VAE and beta-VAE (2020) — 20 citations