The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Parsing clothing in fashion photographs
Abstract
In this paper we demonstrate an effective method for parsing clothing in fashion photographs, an extremely challenging problem due to the large number of possible garment items, variations in configuration, garment appearance, layering, and occlusion. In addition, we provide a large novel dataset and tools for labeling garment items, to enable future research on clothing estimation. Finally, we present intriguing initial results on using clothing estimates to improve pose identification, and demonstrate a prototype application for pose-independent visual garment retrieval.
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Cites
Object Detection with Discriminatively Trained Part-Based Models
Felzenszwalb, P. F., Girshick, R. B., McAllester, D., & Ramanan, D. (2010) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2009.167 · Cited by 9,853
Cited by
Hypercolumns for object segmentation and fine-grained localization
Hariharan, B., Arbelaez, P., Girshick, R., & Malik, J. (2015) · 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) · doi:10.1109/cvpr.2015.7298642 · Cited by 1,511
Deep Interactive Object Selection
Xu, N., Price, B., Cohen, S., Yang, J., & Huang, T. (2016) · 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) · doi:10.1109/cvpr.2016.47 · Cited by 460
Human Parsing with Contextualized Convolutional Neural Network
Liang, X., Xu, C., Shen, X., Yang, J., Liu, S., Tang, J., Lin, L., & Yan, S. (2015) · 2015 IEEE International Conference on Computer Vision (ICCV) · doi:10.1109/iccv.2015.163 · Cited by 245
Devil in the Details: Towards Accurate Single and Multiple Human Parsing
Ruan, T., Liu, T., Huang, Z., Wei, Y., Wei, S., & Zhao, Y. (2019) · Proceedings of the AAAI Conference on Artificial Intelligence · doi:10.1609/aaai.v33i01.33014814 · Cited by 268
Toward AI fashion design: An Attribute-GAN model for clothing match
Liu, L., Zhang, H., Ji, Y., & Jonathan Wu, Q. M. (2019) · Neurocomputing · doi:10.1016/j.neucom.2019.03.011 · Cited by 141
Metadata
- Authors
- Yamaguchi, K., Kiapour, M. H., Ortiz, L. E., & Berg, T. L.
- Venue
- 2012 IEEE Conference on Computer Vision and Pattern Recognition
- Publisher
- IEEE
- Published
- 2012-06
- Pages
- 3570-3577
- ISSN
- 1063-6919 (ISSN-L)
- OpenAlex
- W2074621908
- Cited by
- 464
- References
- 1
- FWCI
- 20.06
- Type
- conference paper
- Language
- en
- Open access
- closed
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- Yamaguchi, K., Kiapour, M. H., Ortiz, L. E., & Berg, T. L. (2012). Parsing clothing in fashion photographs. 2012 IEEE Conference on Computer Vision and Pattern Recognition. https://doi.org/10.1109/cvpr.2012.6248101
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
