Yu Mitsuzumi

Computer Vision and Pattern Recognition · 2017–2021

A researcher in the Science corpus: 2 papers; trusts 141 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 34 citations into it
• Artificial Intelligence — 32 citations into it
• Representation & Self-Supervised Learning — 8 citations into it

Whom Yu Mitsuzumi 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. Kaiming He
8. Yusuke Sugano
9. Geoffrey E. Hinton
10. Deva Ramanan

Papers from Yu Mitsuzumi's perspective

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

1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
2. ImageNet classification with deep convolutional neural networks
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. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
7. Long Short-Term Memory
8. Attention is All you Need (Neural Information Processing Systems)
9. ImageNet Large Scale Visual Recognition Challenge
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• DEEP eye contact detector: Robust eye contact bid detection using convolutional neural network (2017) — 20 citations
• Learning with Selective Forgetting (2021) — 82 citations