Yanir Kleiman

Computational Mechanics · 2011–2017

A researcher in the Science corpus: 2 papers; trusts 14 researchers and is trusted by 7 researchers here, as inferred from the citation graph.

Subfields

• Computational Mechanics — 31 citations into it; #5,463 of 10,001 by trust here, #4,749 by citations
• Computer Vision and Pattern Recognition — 25 citations into it; #21,366 of 21,575 by trust here, #13,542 by citations
• Computer Graphics and Computer-Aided Design — 19 citations into it; #881 of 1,584 by trust here, #843 by citations
• Geology — 7 citations into it

Whom Yanir Kleiman trusts overall

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

1. Jonathan Masci
2. Szymon Rusinkiewicz
3. Davide Boscaini
4. Nina Amenta
5. Gaël Guennebaud
6. Carsten E. M. C. Lange
7. Alexandre Boulch
8. Quentin Mérigot
9. Max Jaderberg
10. Michael M. Bronstein

Who trusts Yanir Kleiman overall

1. Kang Yin
2. Adrien Poulenard
3. Matthias Fey
4. Yifan Wang
5. Charles Ruizhongtai Qi
6. Xu Yan
7. Marie-Julie Rakotosaona

Papers from Yanir Kleiman's perspective

Ordered by how strongly the researchers Yanir Kleiman 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. Gradient-based learning applied to document recognition
4. ImageNet: A large-scale hierarchical image database
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Long Short-Term Memory
7. Going deeper with convolutions
8. Attention is All you Need (Neural Information Processing Systems)
9. Spatial Transformer Networks
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• Unsupervised co-segmentation of a set of shapes via descriptor-space spectral clustering (2011) — 258 citations
• PCPNet Learning Local Shape Properties from Raw Point Clouds (2017) — 426 citations