Mark A. Anastasio

Computer Vision and Pattern Recognition · 2021

A researcher in the Science corpus: 1 paper; trusts 16 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 12 citations into it
• Generative Models — 11 citations into it
• Computational Mechanics — 7 citations into it

Whom Mark A. Anastasio trusts overall

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

1. Tero Karras
2. Diederik P. Kingma
3. Guang-Hong Chen
4. Samuli Laine
5. Michael Lustig
6. Ashish Bora
7. Jimmy Ba
8. Sachit Menon
9. Geoffrey E. Hinton
10. David L. Donoho

Papers from Mark A. Anastasio's perspective

Ordered by how strongly the researchers Mark A. Anastasio 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. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. ImageNet classification with deep convolutional neural networks
4. Gradient-based learning applied to document recognition
5. Learning Multiple Layers of Features from Tiny Images
6. GENERATIVE ADVERSARIAL NETS
7. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
8. ImageNet Large Scale Visual Recognition Challenge
9. ImageNet: A large-scale hierarchical image database
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• Prior Image-Constrained Reconstruction using Style-Based Generative Models (2021) — 32 citations