Victoria Fernández Abrevaya

Computer Vision and Pattern Recognition · with Black · 2021

A researcher in the Science corpus: 1 paper; trusts 7 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 31 citations into it
• Computational Mechanics — 18 citations into it

Whom Victoria Fernández Abrevaya trusts overall

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

1. Diederik P. Kingma
2. C. G. Broyden
3. Timo Bolkart
4. Matan Atzmon
5. Thomas Vetter
6. Volker Blanz
7. Sami Romdhani
8. Keunhong Park
9. Justus Thies
10. Michael Zollhöfer

Papers from Victoria Fernández Abrevaya's perspective

Ordered by how strongly the researchers Victoria Fernández Abrevaya 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. ImageNet classification with deep convolutional neural networks
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. Attention is All you Need (Neural Information Processing Systems)
5. GENERATIVE ADVERSARIAL NETS
6. Gradient-based learning applied to document recognition
7. ImageNet: A large-scale hierarchical image database
8. ImageNet Large Scale Visual Recognition Challenge
9. Long Short-Term Memory
10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers

• I M Avatar: Implicit Morphable Head Avatars from Videos (2021) — 300 citations