Segmentation using Deformable Spatial Priors with Application to Clothing

By Basela Hasan, David C. Hogg. 2010

46 citations recorded by the source corpus.

Subfields: Computational Mechanics, Computer Vision and Pattern Recognition, Industrial and Manufacturing Engineering

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Computational Mechanics

1. Si Liu
2. Shuicheng Yan
3. Guangcan Liu
4. Hanqing Lu
5. C. V. Jawahar
6. Liang Lin
7. Ayush Minocha
8. Nataraj Jammalamadaka

In Computer Vision and Pattern Recognition

1. Shuicheng Yan
2. Luc Van Gool
3. Dacheng Tao
4. Xiaogang Wang
5. Ming-Hsuan Yang
6. Liang Lin
7. Andrea Vedaldi
8. Ping Luo

In Industrial and Manufacturing Engineering

1. Shuicheng Yan
2. C. V. Jawahar
3. Ayush Minocha
4. Nataraj Jammalamadaka
5. Digvijay Singh

Citations in the corpus

• Clothing Co-parsing by Joint Image Segmentation and Labeling (2014, background): “Later works studied on blocking models to segment clothes for highly occluded group images [28], or deformable spatial priors modeling for improving performance of clothing segmentation [8].”
• Street-to-shop: Cross-scenario clothing retrieval via parts alignment and auxiliary set (2012, background): “Hasan et al. [12] and Wang et al. [17] proposed to use different priors to segment clothing.”
• Parsing Clothes in Unrestricted Images (2013, methodology): “Many methods [5, 8, 12, 14, 17] have been proposed to segment clothes in restrictive settings.”