Atsushi Nakazawa

Computer Vision and Pattern Recognition · 2017

A researcher in the Science corpus: 1 paper; trusts 13 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 9 citations into it

Whom Atsushi Nakazawa trusts overall

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

1. Davis E. King
2. Xucong Zhang
3. Xiangxin Zhu
4. Andy Liaw
5. Tadas Baltrusaitis
6. Christos Sagonas
7. Yusuke Sugano
8. Vuong Le
9. Deva Ramanan

Papers from Atsushi Nakazawa's perspective

Ordered by how strongly the researchers Atsushi Nakazawa 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. Face detection, pose estimation, and landmark localization in the wild
4. Gradient-based learning applied to document recognition
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Histograms of oriented gradients for human detection
7. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
8. Long Short-Term Memory
9. Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation
10. Going deeper with convolutions

Their papers

• DEEP eye contact detector: Robust eye contact bid detection using convolutional neural network (2017) — 20 citations