Nadav Dym

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; #20,905 of 21,575 by trust here, #11,950 by citations
• Computational Mechanics — 23 citations into it; #9,643 of 10,001 by trust here, #3,763 by citations
• Computer Graphics and Computer-Aided Design — 10 citations into it

Whom Nadav Dym trusts

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

1. Tao Ju (in Computational Mechanics)

Who trusts Nadav Dym

1. M. Ovsjanikov (in Computational Mechanics)

Papers from Nadav Dym's perspective

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

1. ImageNet classification with deep convolutional neural networks
2. Fully convolutional networks for semantic segmentation
3. Spectral Networks and Locally Connected Networks on Graphs
4. SCAPE: shape completion and animation of people
5. Volumetric and Multi-view CNNs for Object Classification on 3D Data
6. Learning class‐specific descriptors for deformable shapes using localized spectral convolutional networks
7. Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering
8. Geodesic Convolutional Neural Networks on Riemannian Manifolds
9. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
10. MatConvNet: Convolutional Neural Networks for MATLAB

Their papers

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