Yasushi Yagi
Computer Vision and Pattern Recognition · 2006–2018
A researcher in the Science corpus: 5 papers; trusts 220 researchers and is trusted by 12 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 68 citations into it; #8,111 of 21,575 by trust here, #11,286 by citations
- Biomedical Engineering — 32 citations into it; #1,843 of 10,734 by trust here, #5,494 by citations
- Artificial Intelligence — 21 citations into it; #29,039 of 35,345 by trust here, #31,361 by citations
- Human-Computer Interaction — 16 citations into it; #1,490 of 2,253 by trust here, #1,275 by citations
- Control and Systems Engineering — 5 citations into it
Whom Yasushi Yagi trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Geoffrey E. Hinton
- Alex Krizhevsky
- Khalid Bashir
- Yasushi Makihara
- Ilya Sutskever
- Kaiming He
- Mubarak Shah
- Yoshua Bengio
- Alper Yilmaz
- Piotr Doll'ar
Who trusts Yasushi Yagi overall
Papers from Yasushi Yagi's perspective
Ordered by how strongly the researchers Yasushi Yagi trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- Long Short-Term Memory
- ImageNet: A large-scale hierarchical image database
- Attention is All you Need (Neural Information Processing Systems)
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- ImageNet Large Scale Visual Recognition Challenge
- Going deeper with convolutions
Their papers
- Gait Recognition Using a View Transformation Model in the Frequency Domain (2006) — 488 citations
- The OU-ISIR Gait Database Comprising the Large Population Dataset and Performance Evaluation of Gait Recognition (2012) — 386 citations
- Inverse Dynamics for Action Recognition (2013) — 117 citations
- GEINet: View-invariant gait recognition using a convolutional neural network (2016) — 417 citations
- Multi-view large population gait dataset and its performance evaluation for cross-view gait recognition (2018) — 458 citations