Learning to Compose with Professional Photographs on the Web
Author:
Affiliation:
1. University of California, Davis, Davis, CA, USA
2. National Taiwan University, Taipei, Taiwan Roc
3. National Tsing Hua University, Hsinchu, Taiwan Roc
Funder
National Science Foundation
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3123266.3123274
Reference39 articles.
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2. Yuan-Yang Chang and Hwann-Tzong Chen. 2009. Finding Good Composition in Panoramic Scenes. In ICCV. 2225--2231. Yuan-Yang Chang and Hwann-Tzong Chen. 2009. Finding Good Composition in Panoramic Scenes. In ICCV. 2225--2231.
3. Ken Chatfield Karen Simonyan Andrea Vedaldi and Andrew Zisserman. 2014. Return of the Devil in the Details: Delving Deep into Convolutional Nets BMVC. 1--11. http://arxiv.org/abs/1405.3531 Ken Chatfield Karen Simonyan Andrea Vedaldi and Andrew Zisserman. 2014. Return of the Devil in the Details: Delving Deep into Convolutional Nets BMVC. 1--11. http://arxiv.org/abs/1405.3531
4. Jiansheng Chen Gaocheng Bai Shaoheng Liang and Zhengqin Li. 2016. Automatic Image Cropping: A Computational Complexity Study CVPR. Jiansheng Chen Gaocheng Bai Shaoheng Liang and Zhengqin Li. 2016. Automatic Image Cropping: A Computational Complexity Study CVPR.
5. Yi-Ling Chen Tzu-Wei Huang Kai-Han Chang Yu-Chen Tsai Hwann-Tzong Chen and Bing-Yu Chen. 2017. Quantitative Analysis of Automatic Image Cropping Algorithms: A Dataset and Comparative Study WACV. Yi-Ling Chen Tzu-Wei Huang Kai-Han Chang Yu-Chen Tsai Hwann-Tzong Chen and Bing-Yu Chen. 2017. Quantitative Analysis of Automatic Image Cropping Algorithms: A Dataset and Comparative Study WACV.
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