Attila Szabó

Computer Vision and Pattern Recognition · with Favaro · 2017–2018

A researcher in the Science corpus: 2 papers; trusts 141 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 47 citations into it; #19,675 of 21,575 by trust here, #14,478 by citations
• Generative Models — 24 citations into it
• Artificial Intelligence — 7 citations into it; #32,039 of 35,345 by trust here, #28,481 by citations

Whom Attila Szabó trusts overall

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

1. Diederik P. Kingma
2. Geoffrey E. Hinton
3. Karen Simonyan
4. Alex Krizhevsky
5. Yoshua Bengio
6. Scott E. Reed
7. Andrew Zisserman
8. Yann LeCun
9. Kaiming He
10. Alec Radford

Who trusts Attila Szabó overall

1. Aviv Gabbay
2. Ananya Harsh Jha
3. Zheng Ding
4. Yedid Hoshen

Papers from Attila Szabó's perspective

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

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

Their papers

• Faceshop (2018) — 98 citations
• Challenges in Disentangling Independent Factors of Variation (2017) — 52 citations