Shun Miao

Computer Vision and Pattern Recognition · 2016–2018

A researcher in the Science corpus: 5 papers; trusts 26 researchers and is trusted by 16 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 31 citations into it; #6,788 of 21,575 by trust here, #6,426 by citations
• Artificial Intelligence — 17 citations into it
• Radiology, Nuclear Medicine and Imaging — 12 citations into it; #574 of 3,265 by trust here, #1,399 by citations

Whom Shun Miao trusts overall

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

1. Alex Krizhevsky
2. Geoffrey E. Hinton
3. Paul Wohlhart
4. Xavier Glorot
5. Primoz Markelj
6. Yoshua Bengio
7. Jens Harald Krüger
8. Ilya Sutskever
9. Yangqing Jia
10. Vincent Lepetit

Who trusts Shun Miao overall

1. Bob D. de Vos
2. Xiao Yang
3. Floris F. Berendsen
4. Hessam Sokooti
5. Roland Kwitt
6. Seyed Sadegh Mohseni Salehi
7. Berkman Sahiner
8. Yabo Fu
9. Rui Liao
10. Arvid Lundervold

Papers from Shun Miao's perspective

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

Their papers

• An Artificial Agent for Robust Image Registration (2016) — 207 citations
• Pairwise domain adaptation module for CNN-based 2-D/3-D registration (2018) — 38 citations
• 3D/2D model-to-image registration by imitation learning for cardiac procedures (2018) — 42 citations
• Robust Non-rigid Registration Through Agent-Based Action Learning (2017) — 227 citations
• A CNN Regression Approach for Real-Time 2D/3D Registration (2016) — 473 citations