Kaede Shiohara

Computer Vision and Pattern Recognition · 2022

A researcher in the Science corpus: 1 paper; trusts 236 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 42 citations into it
• Artificial Intelligence — 13 citations into it
• Generative Models — 7 citations into it

Whom Kaede Shiohara trusts overall

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

1. Diederik P. Kingma
2. Kaiming He
3. Geoffrey E. Hinton
4. Yuezun Li
5. François Chollet
6. Davis E. King
7. Alex Krizhevsky
8. Jia Deng
9. Jimmy Ba
10. Yoshua Bengio

Who trusts Kaede Shiohara overall

1. Chuangchuang Tan
2. Zhendong Wang
3. Jianmin Bao

Papers from Kaede Shiohara's perspective

Ordered by how strongly the researchers Kaede Shiohara 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. ImageNet: A large-scale hierarchical image database
5. Attention is All you Need (Neural Information Processing Systems)
6. Long Short-Term Memory
7. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
8. Gradient-based learning applied to document recognition
9. Going deeper with convolutions
10. GENERATIVE ADVERSARIAL NETS

Their papers

• Detecting Deepfakes with Self-Blended Images (2022) — 588 citations