Hiroki Tokunaga

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 Hiroki Tokunaga trusts overall

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

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

Who trusts Hiroki Tokunaga overall

1. Chetan L. Srinidhi
2. Bin Li
3. Zheng Lin
4. Yin Li
5. Ozan Ciga
6. Zheng-Peng Duan

Papers from Hiroki Tokunaga's perspective

Ordered by how strongly the researchers Hiroki Tokunaga 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. Long Short-Term Memory
7. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
8. Attention is All you Need (Neural Information Processing Systems)
9. ImageNet Large Scale Visual Recognition Challenge
10. Going deeper with convolutions

Their papers

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