Nir Sharon

Computer Vision and Pattern Recognition · 2015

A researcher in the Science corpus: 1 paper; trusts 21 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 7 citations into it
• Artificial Intelligence — 6 citations into it
• Applied Mathematics — 5 citations into it

Whom Nir Sharon trusts overall

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

1. Mikhail Belkin
2. Ulrike von Luxburg
3. Jianbo Shi
4. Lawrence K. Saul
5. Partha Niyogi
6. Nathan Halko
7. Matan Gavish
8. David K. Hammond
9. Dan Kushnir
10. Idan Ram

Who trusts Nir Sharon overall

1. Federico Monti
2. Davide Boscaini

Papers from Nir Sharon's perspective

Ordered by how strongly the researchers Nir Sharon 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. Gradient-based learning applied to document recognition
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. ImageNet: A large-scale hierarchical image database
6. Normalized cuts and image segmentation
7. Long Short-Term Memory
8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
9. Attention is All you Need (Neural Information Processing Systems)
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• A class of Laplacian multiwavelets bases for high-dimensional data (2015) — 12 citations