Shigeki Sugano

Computer Vision and Pattern Recognition · 2005–2018

A researcher in the Science corpus: 5 papers; trusts 47 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 30 citations into it; #19,744 of 21,575 by trust here, #15,955 by citations
• Artificial Intelligence — 28 citations into it; #32,112 of 35,345 by trust here, #30,347 by citations
• Control and Systems Engineering — 14 citations into it; #7,631 of 8,257 by trust here, #4,262 by citations
• Optimization & Training — 7 citations into it
• Automotive Engineering — 6 citations into it; #2,580 of 3,081 by trust here, #2,769 by citations

Whom Shigeki Sugano trusts overall

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

1. Alex Krizhevsky
2. Geoffrey E. Hinton
3. Kaiming He
4. Yann LeCun
5. Diederik P. Kingma
6. Yoshua Bengio
7. Ilya Sutskever
8. Ross B. Girshick
9. Ian J. Goodfellow
10. David E. Rumelhart

Who trusts Shigeki Sugano overall

1. Dana Kulic

Papers from Shigeki Sugano's perspective

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

Their papers

• Rethinking Self-driving: Multi-task Knowledge for Better Generalization and Accident Explanation Ability (2018) — 42 citations
• Repeatable Folding Task by Humanoid Robot Worker Using Deep Learning (2017) — 196 citations
• Tactile object recognition using deep learning and dropout (2014) — 98 citations
• Imitating others by composition of primitive actions: A neuro-dynamic model (2012) — 26 citations
• Open-end human–robot interaction from the dynamical systems perspective: mutual adaptation and incremental learning (2005) — 46 citations