Aviad Aberdam

Computer Vision and Pattern Recognition · 2020

A researcher in the Science corpus: 1 paper; trusts 10 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 13 citations into it
• Generative Models — 10 citations into it
• Computational Mechanics — 8 citations into it
• Artificial Intelligence — 5 citations into it

Whom Aviad Aberdam trusts overall

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

1. Jeff Donahue
2. Takeru Miyato
3. Ashish Bora
4. Ajil Jalal
5. Wen Huang
6. Qi Lei
7. Paul Hand
8. Michael Elad
9. David Bau
10. Philipp Krahenbuhl

Who trusts Aviad Aberdam overall

1. Weihao Xia
2. Yulun Zhang

Papers from Aviad Aberdam's perspective

Ordered by how strongly the researchers Aviad Aberdam 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. ImageNet classification with deep convolutional neural networks
3. GENERATIVE ADVERSARIAL NETS
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Gradient-based learning applied to document recognition
6. ImageNet: A large-scale hierarchical image database
7. Attention is All you Need (Neural Information Processing Systems)
8. ImageNet Large Scale Visual Recognition Challenge
9. Learning Multiple Layers of Features from Tiny Images
10. Long Short-Term Memory

Their papers

• When and How Can Deep Generative Models be Inverted? (2020) — 13 citations