Bob D. de Vos

Computer Vision and Pattern Recognition · 2017–2018

A researcher in the Science corpus: 3 papers; trusts 8 researchers and is trusted by 10 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 32 citations into it; #9,430 of 21,575 by trust here, #8,122 by citations
• Radiology, Nuclear Medicine and Imaging — 12 citations into it; #1,619 of 3,265 by trust here, #1,444 by citations
• Artificial Intelligence — 9 citations into it
• Optimization & Training — 6 citations into it
• Computational Mechanics — 5 citations into it

Whom Bob D. de Vos trusts overall

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

1. Shun Miao
2. Diederik P. Kingma
3. Yann LeCun
4. Rui Liao
5. Sergey Ioffe
6. Z. J. Wang
7. Evan Shelhamer
8. Geoffrey E. Hinton
9. Jimmy Ba
10. Christian Szegedy

Who trusts Bob D. de Vos overall

1. Guha Balakrishnan
2. Grant Haskins
3. Adrian V. Dalca
4. Shengyu Zhao
5. Jiayi Ma
6. Amy Zhao
7. Xiaohuan Cao
8. Yabo Fu
9. Junyu Chen
10. John V. Guttag

Papers from Bob D. de Vos's perspective

Ordered by how strongly the researchers Bob D. de Vos trusts endorse each paper. Same corpus, a different order for every researcher.

1. ImageNet classification with deep convolutional neural networks
2. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. Gradient-based learning applied to document recognition
5. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
6. ImageNet: A large-scale hierarchical image database
7. Attention is All you Need (Neural Information Processing Systems)
8. Long Short-Term Memory
9. Learning Multiple Layers of Features from Tiny Images
10. Going deeper with convolutions

Their papers

• Nonrigid Image Registration Using Multi-scale 3D Convolutional Neural Networks (2017) — 424 citations
• A deep learning framework for unsupervised affine and deformable image registration (2018) — 778 citations
• End-to-End Unsupervised Deformable Image Registration with a Convolutional Neural Network (2017) — 485 citations