Wataru Takano

Computer Vision and Pattern Recognition · 2006–2015

A researcher in the Science corpus: 3 papers; trusts 32 researchers and is trusted by 11 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 17 citations into it; #8,708 of 21,575 by trust here, #14,151 by citations
• Control and Systems Engineering — 14 citations into it; #2,301 of 8,257 by trust here, #3,516 by citations
• Artificial Intelligence — 12 citations into it
• Human-Computer Interaction — 9 citations into it
• Social Psychology — 9 citations into it; #4,250 of 15,694 by trust here, #8,798 by citations
• Cognitive Neuroscience — 8 citations into it

Whom Wataru Takano trusts overall

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

1. Sylvain Calinon
2. Tetsunari Inamura
3. Giacomo Rizzolatti
4. Aude Gemma Billard
5. Lawrence R. Rabiner
6. Michael I. Jordanzoubin
7. Jun Tani
8. Zicheng Liu
9. Jeffrey L. Elman
10. Geoffrey E. Hinton

Who trusts Wataru Takano overall

1. Luiza Mici
2. Seyed Mohammad Khansari-Zadeh
3. Dana Kulic
4. Aude Gemma Billard
5. Sylvain Calinon
6. Moritz Tenorth
7. Tetsunari Inamura
8. German Ignacio Parisi
9. Michael Beetz
10. Takayuki Osa

Papers from Wataru Takano's perspective

Ordered by how strongly the researchers Wataru Takano 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. Long Short-Term Memory
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Gradient-based learning applied to document recognition
6. ImageNet: A large-scale hierarchical image database
7. Attention is All you Need (Neural Information Processing Systems)
8. ImageNet Large Scale Visual Recognition Challenge
9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• Incremental Learning, Clustering and Hierarchy Formation of Whole Body Motion Patterns using Adaptive Hidden Markov Chains (2008) — 233 citations
• Humanoid Robot's Autonomous Acquisition of Proto-Symbols through Motion Segmentation (2006) — 93 citations
• Motion Recognition Employing Multiple Kernel Learning of Fisher Vectors Using Local Skeleton Features (2015) — 16 citations