Yoshihiro Kanamori

Computer Vision and Pattern Recognition · 2016–2021

A researcher in the Science corpus: 3 papers; trusts 445 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 83 citations into it
• Generative Models — 28 citations into it
• Artificial Intelligence — 22 citations into it
• Model Architectures — 11 citations into it
• Media Technology — 9 citations into it
• Optimization & Training — 8 citations into it
• Representation & Self-Supervised Learning — 6 citations into it
• Atomic and Molecular Physics, and Optics — 5 citations into it

Whom Yoshihiro Kanamori trusts overall

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

1. Kaiming He
2. Geoffrey E. Hinton
3. Yoshua Bengio
4. Diederik P. Kingma
5. Alex Krizhevsky
6. Yann LeCun
7. Ilya Sutskever
8. Nitish Srivastava
9. Ross B. Girshick
10. Sergey Ioffe

Who trusts Yoshihiro Kanamori overall

1. Wencheng Wang
2. Demetris Marnerides
3. Qingsen Yan

Papers from Yoshihiro Kanamori's perspective

Ordered by how strongly the researchers Yoshihiro Kanamori 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. Gradient-based learning applied to document recognition
5. Long Short-Term Memory
6. ImageNet: A large-scale hierarchical image database
7. Attention is All you Need (Neural Information Processing Systems)
8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• DeepProp: Extracting Deep Features from a Single Image for Edit Propagation (2016) — 70 citations
• Deep reverse tone mapping (2017) — 344 citations
• Few-shot Semantic Image Synthesis Using StyleGAN Prior (2021) — 9 citations