Shuji Suzuki
Computer Vision and Pattern Recognition · 2017–2021
A researcher in the Science corpus: 3 papers; trusts 159 researchers and is trusted by 18 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 59 citations into it; #7,844 of 21,575 by trust here, #10,334 by citations
- Artificial Intelligence — 53 citations into it; #11,703 of 35,345 by trust here, #15,236 by citations
- Optimization & Training — 13 citations into it; #1,167 of 2,601 by trust here, #1,488 by citations
- Model Architectures — 8 citations into it
Whom Shuji Suzuki trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Kaiming He
- Ross B. Girshick
- Seiya Tokui
- Shaoqing Ren
- Alex Krizhevsky
- Geoffrey E. Hinton
- X. Zhang
- Diederik P. Kingma
- Yann LeCun
- Yoshua Bengio
Who trusts Shuji Suzuki overall
- Kazuki Osawa
- Yang You
- Nitish Shirish Keskar
- Albert S. Berahas
- Cédric Renggli
- Mahmoud Assran
- Khan Muhammad
- Wujie Wen
- Sam McCandlish
- J. Daily
Papers from Shuji Suzuki's perspective
Ordered by how strongly the researchers Shuji Suzuki 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)
- ImageNet Large Scale Visual Recognition Challenge
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Learning Multiple Layers of Features from Tiny Images
Their papers
- Extremely Large Minibatch SGD: Training ResNet-50 on ImageNet in 15 Minutes (2017) — 320 citations
- A Scaling Law for Syn2real Transfer: How Much Is Your Pre-training Effective? (2021) — 17 citations
- Sampling Techniques for Large-Scale Object Detection From Sparsely Annotated Objects (2018) — 46 citations