Azuma Fujimoto

Computer Vision and Pattern Recognition · 2015–2016

A researcher in the Science corpus: 2 papers; trusts 51 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 34 citations into it; #18,323 of 21,575 by trust here, #9,187 by citations

Whom Azuma Fujimoto trusts overall

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

1. David G. Lowe
2. Kaiming He
3. Herv'e J'egou
4. Andrew Zisserman
5. Navneet Dalal
6. Cordelia Schmid
7. Andrea Vedaldi
8. Geoffrey E. Hinton
9. James Philbin
10. Alex Krizhevsky

Who trusts Azuma Fujimoto overall

1. Saeed Anwar
2. Yong Guo
3. Nick Barnes
4. Honggang Chen
5. Salman Hameed Khan

Papers from Azuma Fujimoto's perspective

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

1. ImageNet Large Scale Visual Recognition Challenge
2. ImageNet classification with deep convolutional neural networks
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. Distinctive Image Features from Scale-Invariant Keypoints
5. Histograms of oriented gradients for human detection
6. ImageNet: A large-scale hierarchical image database
7. Gradient-based learning applied to document recognition
8. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
9. Microsoft COCO: Common Objects in Context
10. Long Short-Term Memory

Their papers

• Sketch-based manga retrieval using manga109 dataset (2015) — 1,476 citations
• Manga109 dataset and creation of metadata (2016) — 167 citations