Rui Liao

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; #6,789 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; #575 of 3,265 by trust here, #1,399 by citations

Whom Rui Liao trusts overall

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

1. Geoffrey E. Hinton
2. Richard Bellman
3. Paul Wohlhart
4. Alex Krizhevsky
5. Shun Miao
6. Yoshua Bengio
7. Juan C. Caicedo
8. Luis Miguel Rios
9. Francisco P. M. Oliveira
10. Ilya Sutskever

Who trusts Rui Liao overall

1. Bob D. de Vos
2. Grant Haskins
3. Hessam Sokooti
4. Floris F. Berendsen
5. Xiao Yang
6. Maciej A. Mazurowski
7. V. Kearney
8. Damini Dey
9. Seyed Sadegh Mohseni Salehi
10. Shun Miao

Papers from Rui Liao's perspective

Ordered by how strongly the researchers Rui Liao 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