Yuki Teramoto

Computer Vision and Pattern Recognition · 2019

A researcher in the Science corpus: 1 paper; trusts 89 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 28 citations into it
• Artificial Intelligence — 20 citations into it
• Model Architectures — 9 citations into it

Whom Yuki Teramoto trusts overall

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

1. Alex Krizhevsky
2. Geoffrey E. Hinton
3. François Chollet
4. Ilya Sutskever
5. Timothy Dozat
6. Kaiming He
7. Yann LeCun
8. Yoshua Bengio
9. Liang-Chieh Chen
10. Ross B. Girshick

Who trusts Yuki Teramoto overall

1. Chetan L. Srinidhi
2. Bin Li
3. Zheng Lin

Papers from Yuki Teramoto's perspective

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

Their papers

• Adaptive Weighting Multi-Field-Of-View CNN for Semantic Segmentation in Pathology (2019) — 142 citations