Taizan Yonetsuji

Computer Vision and Pattern Recognition · 2018

A researcher in the Science corpus: 1 paper; trusts 205 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 42 citations into it
• Generative Models — 31 citations into it
• Media Technology — 7 citations into it

Whom Taizan Yonetsuji trusts overall

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

1. Geoffrey E. Hinton
2. Jun-Yan Zhu
3. Alex Krizhevsky
4. Diederik P. Kingma
5. Kaiming He
6. Yoshua Bengio
7. Yann LeCun
8. Karen Simonyan
9. Ilya Sutskever
10. Ross B. Girshick

Papers from Taizan Yonetsuji's perspective

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

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

Their papers

• Spatially Controllable Image Synthesis with Internal Representation Collaging (2018) — 43 citations