Fetching the paper…
Reading the bibliography…
With the rapid growth of fashion-focused social networks and online shopping, intelligent fashion recommendation is now in great need.
Y. LeCun, L. Bottou, Y. Bengio, and P. Haffner, “Gradient-based learning applied to document recognition,” Proceedings of the IEEE
1998
Earlier work this paper cites.
J. Deng, W. Dong, R. Socher, L.-J. Li, K. Li, and L. Fei-Fei, “Imagenet: A large-scale hierarchical image database,” in Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
2009
Earlier work this paper cites.
T. Iwata, S. Watanabe, and H. Sawada, “Fashion coordinates recommender system using photographs from fashion magazines,” in Proceedings of the International Joint Conference on Artificial Intelligence (IJCAI)
2011
Earlier work this paper cites.
A. Krizhevsky, I. Sutskever, and G. E. Hinton, “Imagenet classification with deep convolutional neural networks,” in Proceedings of Annual Conference on Neural Information Processing Systems (NIPS)
2012
Earlier work this paper cites.
S. Liu, J. Feng, Z. Song, T. Zhang, H. Lu, C. Xu, and S. Yan, ““Hi, magic closet, tell me what to wear!”,” in Proceedings of the ACM international conference on Multimedia
2012
Earlier work this paper cites.
K. Chatfield, K. Simonyan, A. Vedaldi, and A. Zisserman, “Return of the devil in the details: Delving deep into convolutional nets,” in Proceedings of the British Machine Vision Conference (BMVC)
2014
Earlier work this paper cites.
S. Liu, L. Liu, and S. Yan, “Fashion analysis: Current techniques and future directions,” IEEE MultiMedia
2014
Earlier work this paper cites.
V. Jagadeesh, R. Piramuthu, A. Bhardwaj, W. Di, and N. Sundaresan, “Large scale visual recommendations from street fashion images,” in Proceedings of ACM International Conference on Knowledge Discovery and Data Mining (SIGKDD)
2014
Cited alongside, same era.
J. Wang, Y. Song, T. Leung, C. Rosenberg, J. Wang, J. Philbin, B. Chen, and Y. Wu, “Learning fine-grained image similarity with deep ranking,” in Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
2014
Cited alongside, same era.
Y. Jia, E. Shelhamer, J. Donahue, S. Karayev, J. Long, R. Girshick, S. Guadarrama, and T. Darrell, “Caffe: Convolutional architecture for fast feature embedding,” in Proceedings of the ACM International Conference on Multimedia
2014
Cited alongside, same era.
C. Szegedy, W. Liu, Y. Jia, P. Sermanet, S. Reed, D. Anguelov, D. Erhan, V. Vanhoucke, and A. Rabinovich, “Going deeper with convolutions,” in Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
S. Bell and K. Bala, “Learning visual similarity for product design with convolutional neural networks,” ACM Transactions on Graphics (TOG)
2015
Later among the works it cites.
M. H. Kiapour, X. Han, S. Lazebnik, A. C. Berg, and T. L. Berg, “Where to buy it: matching street clothing photos in online shops,” in Proceedings of IEEE International Conference on Computer Vision (ICCV)
2015
Later among the works it cites.
X. Han, T. Leung, Y. Jia, R. Sukthankar, and A. C. Berg, “Matchnet: unifying feature and metric learning for patch-based matching,” in Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
2015
Later among the works it cites.
J. Zbontar and Y. LeCun, “Computing the stereo matching cost with a convolutional neural network,” in Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
2015
Later among the works it cites.
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
2015
Cited alongside, same era.
J. McAuley, C. Targett, Q. Shi, and A. van den Hengel, “Image-based recommendations on styles and substitutes,” in Proceedings of the International ACM Conference on Research and Development in Information Retrieval (SIGIR)
2015
Cited alongside, same era.
A. Veit, B. Kovacs, S. Bell, J. McAuley, K. Bala, and S. Belongie, “Learning visual clothing style with heterogeneous dyadic co-occurrences,” in Proceedings of the IEEE International Conference on Computer Vision (ICCV)
2015
Cited alongside, same era.
Y. Hu, X. Yi, and L. S. Davis, “Collaborative fashion recommendation: A functional tensor factorization approach,” in Proceedings of the 23rd Annual ACM Conference on Multimedia Conference
2015
Cited alongside, same era.
H. Wang, N. Wang, and D.-Y. Yeung, “Collaborative deep learning for recommender systems,” in Proceedings of ACM International Conference on Knowledge Discovery and Data Mining (SIGKDD)
2015
Later among the works it cites.
X. Geng, H. Zhang, J. Bian, and T.-S. Chua, “Learning image and user features for recommendation in social networks,” in Proceedings of IEEE International Conference on Computer Vision (ICCV)
2015
Later among the works it cites.