When Multimedia Meets Fashion

Through transforming visual fashion into computational images, multimedia technologies are transforming fashion industry at a faster pace than before. The huge demand for fashion analytics triggers promising applications and theoretical research in this area. The future of fashion is being reshaped by multimedia, and researchers are working toward computational fashion.

[1]  Rainer Stiefelhagen,et al.  Fashion Forward: Forecasting Visual Style in Fashion , 2017, 2017 IEEE International Conference on Computer Vision (ICCV).

[2]  Alexei A. Efros,et al.  Image-to-Image Translation with Conditional Adversarial Networks , 2016, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

[3]  Kai-Lung Hua,et al.  Fashion World Map: Understanding Cities Through Streetwear Fashion , 2017, ACM Multimedia.

[4]  Jun Ma,et al.  NeuroStylist: Neural Compatibility Modeling for Clothing Matching , 2017, ACM Multimedia.

[5]  Tao Mei,et al.  DA-GAN: Instance-Level Image Translation by Deep Attention Generative Adversarial Networks , 2018, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.

[6]  Shuicheng Yan,et al.  Fashion Analysis: Current Techniques and Future Directions , 2014, IEEE MultiMedia.

[7]  Luis E. Ortiz,et al.  Parsing clothing in fashion photographs , 2012, 2012 IEEE Conference on Computer Vision and Pattern Recognition.

[8]  Takayuki Okatani,et al.  Automatic Attribute Discovery with Neural Activations , 2016, ECCV.

[9]  Xiaogang Wang,et al.  DeepFashion: Powering Robust Clothes Recognition and Retrieval with Rich Annotations , 2016, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

[10]  Hiroshi Ishikawa,et al.  What Makes a Style: Experimental Analysis of Fashion Prediction , 2017, 2017 IEEE International Conference on Computer Vision Workshops (ICCVW).