Ying He

Computational Mechanics · with Luo · 2013

A researcher in the Science corpus: 1 paper; trusts 12 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computational Mechanics — 14 citations into it
• Computer Vision and Pattern Recognition — 13 citations into it
• Computer Graphics and Computer-Aided Design — 8 citations into it

Whom Ying He trusts overall

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

1. Jitendra Malik

Papers from Ying He's perspective

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

1. Normalized cuts and image segmentation
2. Shape Matching and Object Recognition Using Shape Contexts
3. ImageNet classification with deep convolutional neural networks
4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
5. Fast approximate energy minimization via graph cuts
6. Learning a classification model for segmentation
7. ImageNet: A large-scale hierarchical image database
8. Gradient-based learning applied to document recognition
9. ImageNet Large Scale Visual Recognition Challenge
10. Joint shape segmentation with linear programming

Their papers

• Unsupervised co-segmentation for 3D shapes using iterative multi-label optimization (2013) — 68 citations