Hironobu Fujiyoshi

Computer Vision and Pattern Recognition · 2000–2019

A researcher in the Science corpus: 7 papers; trusts 514 researchers and is trusted by 15 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 117 citations into it; #7,255 of 21,575 by trust here, #6,671 by citations
• Artificial Intelligence — 75 citations into it; #10,757 of 35,345 by trust here, #14,718 by citations
• Model Architectures — 35 citations into it
• Safety, Robustness & Interpretability — 17 citations into it
• Natural Language Processing — 16 citations into it
• Efficiency & Compression — 11 citations into it
• Optimization & Training — 10 citations into it
• Evaluation & Benchmarks — 8 citations into it

Whom Hironobu Fujiyoshi trusts overall

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

1. Geoffrey E. Hinton
2. Kaiming He
3. Alex Krizhevsky
4. Yoshua Bengio
5. Yann LeCun
6. Ross B. Girshick
7. Navneet Dalal
8. David G. Lowe
9. Ilya Sutskever
10. Diederik P. Kingma

Who trusts Hironobu Fujiyoshi overall

1. Lu Xia
2. Luciano Spinello
3. Fei Han
4. Omar Javed
5. Shuai Tang
6. Kai Oliver Arras
7. Asis Nasipuri

Papers from Hironobu Fujiyoshi's perspective

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

Their papers

• A System for Video Surveillance and Monitoring (2000) — 1,460 citations
• Algorithms for cooperative multisensor surveillance (2001) — 674 citations
• Knowledge Transfer Graph for Deep Collaborative Learning (2019) — 13 citations
• Deep learning-based image recognition for autonomous driving (2019) — 390 citations
• Embedding Human Knowledge into Deep Neural Network via Attention Map (2019) — 81 citations
• Attention Branch Network: Learning of Attention Mechanism for Visual Explanation (2018) — 462 citations
• Real-Time Human Detection Using Relational Depth Similarity Features (2010) — 109 citations