A. Sudhyadhom

Computer Vision and Pattern Recognition · 2009–2018

A researcher in the Science corpus: 2 papers; trusts 8 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 12 citations into it

Whom A. Sudhyadhom trusts overall

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

1. David G. Lowe
2. Diederik P. Kingma
3. Sergey Ioffe

Who trusts A. Sudhyadhom overall

1. Arvid Lundervold

Papers from A. Sudhyadhom's perspective

Ordered by how strongly the researchers A. Sudhyadhom trusts endorse each paper. Same corpus, a different order for every researcher.

1. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
2. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
3. Dropout: a simple way to prevent neural networks from overfitting
4. Distinctive Image Features from Scale-Invariant Keypoints
5. Deep Learning
6. ImageNet classification with deep convolutional neural networks
7. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
8. Gradient-based learning applied to document recognition
9. Deep Convolutional Inverse Graphics Network
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• An unsupervised convolutional neural network-based algorithm for deformable image registration (2018) — 58 citations
• A high resolution and high contrast MRI for differentiation of subcortical structures for DBS targeting: the Fast Gray Matter Acquisition T1 Inversion Recovery (FGATIR). (2009)