Ryosuke Furuta

Computer Vision and Pattern Recognition · 2018

A researcher in the Science corpus: 1 paper; trusts 248 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 28 citations into it; #14,848 of 21,575 by trust here, #10,905 by citations
• Artificial Intelligence — 16 citations into it; #24,038 of 35,345 by trust here, #16,166 by citations
• Representation & Self-Supervised Learning — 6 citations into it

Whom Ryosuke Furuta trusts overall

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

1. Ross B. Girshick
2. Diederik P. Kingma
3. Kaiming He
4. Geoffrey E. Hinton
5. Alex Krizhevsky
6. Yoshua Bengio
7. Yann LeCun
8. Shaoqing Ren
9. Trevor Darrell
10. Ilya Sutskever

Who trusts Ryosuke Furuta overall

1. Garrett Wilson
2. Mei Wang
3. Qiming Zhang
4. Xingjie Zhao
5. Ananya Kumar
6. Xialei Liu
7. Kuniaki Saito
8. Ying Jin
9. Tao Wang
10. Xudong Wang

Papers from Ryosuke Furuta's perspective

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

Their papers

• Cross-Domain Weakly-Supervised Object Detection Through Progressive Domain Adaptation (2018) — 629 citations