Ryoma Bise

Computer Vision and Pattern Recognition · 2011–2019

A researcher in the Science corpus: 2 papers; trusts 94 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 31 citations into it; #16,816 of 21,575 by trust here, #18,266 by citations
• Artificial Intelligence — 22 citations into it; #27,402 of 35,345 by trust here, #28,481 by citations
• Model Architectures — 9 citations into it
• Biophysics — 5 citations into it

Whom Ryoma Bise trusts overall

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

1. Kang Li
2. Alex Krizhevsky
3. Geoffrey E. Hinton
4. François Chollet
5. Ilya Sutskever
6. Kaiming He
7. Timothy Dozat
8. Yann LeCun
9. Yoshua Bengio
10. Ross B. Girshick

Who trusts Ryoma Bise overall

1. Klas E. G. Magnusson
2. Joakim Jaldén
3. Martin Maška

Papers from Ryoma Bise's perspective

Ordered by how strongly the researchers Ryoma Bise 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. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
4. Gradient-based learning applied to document recognition
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. ImageNet: A large-scale hierarchical image database
7. Long Short-Term Memory
8. Going deeper with convolutions
9. ImageNet Large Scale Visual Recognition Challenge
10. Attention is All you Need (Neural Information Processing Systems)

Their papers

• Adaptive Weighting Multi-Field-Of-View CNN for Semantic Segmentation in Pathology (2019) — 142 citations
• Reliable cell tracking by global data association (2011) — 106 citations