Mengyan Yan
Computer Vision and Pattern Recognition · 2016
A researcher in the Science corpus: 1 paper; trusts 1 researcher and is trusted by 3 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 25 citations into it; #15,038 of 21,575 by trust here, #6,606 by citations
Whom Mengyan Yan trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Who trusts Mengyan Yan overall
Papers from Mengyan Yan's perspective
Ordered by how strongly the researchers Mengyan Yan trusts endorse each paper. Same corpus, a different order for every researcher.
- Joint shape segmentation with linear programming
- Multi-Level Active Prediction of Useful Image Annotations for Recognition
- A spectral technique for correspondence problems using pairwise constraints (Tenth IEEE International Conference on Computer Vision (ICCV'05) Volume 1)
- Strong supervision from weak annotation: Interactive training of deformable part models
- Crowdsourcing Annotations for Visual Object Detection
- Meta-representation of shape families
- The Ignorant Led by the Blind: A Hybrid Human–Machine Vision System for Fine-Grained Categorization
- Co‐Segmentation of 3D Shapes via Subspace Clustering
- Fine-grained semi-supervised labeling of large shape collections
- 3D Shape Segmentation and Labeling via Extreme Learning Machine
Their papers
- A scalable active framework for region annotation in 3D shape collections (2016) — 1,414 citations