Noam Aigerman

Computer Vision and Pattern Recognition · 2017

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

Subfields

• Computer Vision and Pattern Recognition — 29 citations into it; #20,904 of 21,575 by trust here, #11,950 by citations
• Computational Mechanics — 23 citations into it; #9,642 of 10,001 by trust here, #3,763 by citations
• Computer Graphics and Computer-Aided Design — 10 citations into it

Whom Noam Aigerman trusts overall

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

1. Tao Ju

Who trusts Noam Aigerman overall

1. M. Ovsjanikov

Papers from Noam Aigerman's perspective

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

Their papers

• Convolutional neural networks on surfaces via seamless toric covers (2017) — 246 citations