Eduard Gabriel Bazavan

Computer Vision and Pattern Recognition · 2020

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 28 citations into it; #20,901 of 21,575 by trust here, #16,787 by citations

Whom Eduard Gabriel Bazavan trusts overall

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

1. Javier Romero
2. Michael J. Black
3. Georgios Pavlakos
4. Hanbyul Joo
5. Andrei Zanfir

Who trusts Eduard Gabriel Bazavan overall

1. Mathis Petrovich
2. Ahmed A. A. Osman

Papers from Eduard Gabriel Bazavan's perspective

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

1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
2. Microsoft COCO: Common Objects in Context
3. Auto-Encoding Variational Bayes (International Conference on Learning Representations)
4. ImageNet classification with deep convolutional neural networks
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. ImageNet: A large-scale hierarchical image database
7. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
8. Gradient-based learning applied to document recognition
9. Keep It SMPL: Automatic Estimation of 3D Human Pose and Shape from a Single Image
10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers

• GHUM & GHUML: Generative 3D Human Shape and Articulated Pose Models (2020) — 404 citations