Masakazu Iwamura
Computer Vision and Pattern Recognition · 2013–2018
A researcher in the Science corpus: 5 papers; trusts 128 researchers and is trusted by 40 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 51 citations into it; #5,926 of 21,575 by trust here, #2,976 by citations
- Artificial Intelligence — 28 citations into it; #15,015 of 35,345 by trust here, #15,236 by citations
- Optimization & Training — 17 citations into it; #964 of 2,601 by trust here, #1,083 by citations
- Model Architectures — 12 citations into it; #932 of 2,278 by trust here, #1,572 by citations
Whom Masakazu Iwamura trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Alex Krizhevsky
- Kaiming He
- Geoffrey E. Hinton
- Christian Szegedy
- Xavier Gastaldi
- Sergey Ioffe
- Ilya Sutskever
- Ross B. Girshick
- X. Zhang
- Yann LeCun
Who trusts Masakazu Iwamura overall
- Ekin Dogus Cubuk
- Yu Cheng
- Barret Zoph
- Quoc V. Le
- Tommaso Furlanello
- Boyi Li
- Minghui Liao
- Ethan Harris
- Arild Nøkland
- Golnaz Ghiasi
Papers from Masakazu Iwamura's perspective
Ordered by how strongly the researchers Masakazu Iwamura trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- ImageNet: A large-scale hierarchical image database
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- Learning Multiple Layers of Features from Tiny Images
- Going deeper with convolutions
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
Their papers
- ICDAR 2013 Robust Reading Competition (2013) — 1,473 citations
- ICDAR 2015 competition on Robust Reading (2015) — 1,578 citations
- Shakedrop Regularization for Deep Residual Learning (2018) — 179 citations
- Deep Pyramidal Residual Networks with Separated Stochastic Depth (2016) — 28 citations
- ShakeDrop regularization (2018) — 71 citations