Joseph P. Robinson
ABSTRACT
Recognizing Families In the Wild (RFIW) is organized as a Data Challenge Workshop in conjunction with ACM MM 2017. The workshop is scheduled for the afternoon of October 27th. RFIW is the 1st large-scale kinship recognition challenge and is made up of 2 tracks, kinship verification and family classification. In total, 12 final submissions were made. This big data challenge was achieved with our FIW dataset which is, by far, the largest image collection of its kind. Potential next steps for FIW are abundant.
- Andrea Giuseppe Bottino, Matteo De Simone, Aldo Laurentini, and T Vieira. 2012. A new problem in face image analysis: finding kinship clues for siblings pairs. (2012).Google Scholar
- Andrea Bottinok, Ihtesham Ul Islam, and Tiago Figueiredo Vieira. 2015. A multi-perspective holistic approach to Kinship Verification in the Wild Automatic Face and Gesture Recognition (FG), 2015 11th IEEE International Conference and Workshops on, Vol. Vol. 2. IEEE, 1--6.Google Scholar
- Xiaojing Chen, Le An, Songfan Yang, and Weimin Wu. 2015 a. Kinship verification in multi-linear coherent spaces. Multimedia Tools and Applications (2015), 1--18. Google ScholarDigital Library
- Yunfei Chen, Hongwei Hu, Shujuan Cao, and Bo Ma. 2015 b. Sparse coding based kinship recognition. In Multimedia Technology IV: Proceedings of the 4th International Conference on Multimedia Technology, Sydney, Australia, 28--30 March 2015. CRC Press, 115.Google ScholarCross Ref
- Afshin Dehghan, Enrique Ortiz, Ruben Villegas, and Mubarak Shah. 2014. Who do i look like? determining parent-offspring resemblance via gated autoencoders Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition. 1757--1764. Google ScholarDigital Library
- Hamdi Dibeklioglu, Albert Ali Salah, and Theo Gevers. 2013. Like father, like son: Facial expression dynamics for kinship verification Proceedings of the IEEE International Conference on Computer Vision. Google ScholarDigital Library
- Xiaodong Duan and Zheng-Hua Tan. 2015 a. A feature subtraction method for image based kinship verification under uncontrolled environments. In Image Processing (ICIP), 2015 IEEE International Conference on. IEEE, 1573--1577.Google ScholarDigital Library
- Xiaodong Duan and Zheng-Hua Tan. 2015 b. Neighbors Based Discriminative Feature Difference Learning for Kinship Verification International Symposium on Visual Computing. Springer, 258--267.Google Scholar
- Ruogu Fang, Andrew C Gallagher, Tsuhan Chen, and Alexander Loui. 2013. Kinship classification by modeling facial feature heredity 2013 IEEE International Conference on Image Processing. IEEE, 2983--2987.Google Scholar
- Ruogu Fang, Kevin D Tang, Noah Snavely, and Tsuhan Chen. 2010. Towards computational models of kinship verification 2010 IEEE International Conference on Image Processing. IEEE, 1577--1580.Google Scholar
- Yuanhao Guo, Hamdi Dibeklioglu, and Laurens van der Maaten. 2014. Graph-Based Kinship Recognition.. In ICPR. Citeseer, 4287--4292. Google ScholarDigital Library
- Junlin Hu, Jiwen Lu, Junsong Yuan, and Yap-Peng Tan. 2014. Large margin multi-metric learning for face and kinship verification in the wild Asian Conference on Computer Vision. Springer, 252--267.Google Scholar
- Lu Kou, Xiuzhuang Zhou, Min Xu, and Yuanyuan Shang. 2015. Learning a Genetic Measure for Kinship Verification Using Facial Images. Mathematical Problems in Engineering Vol. 2015 (2015).Google Scholar
- Qingfeng Liu, Ajit Puthenputhussery, and Chengjun Liu. 2015. Inheritable Fisher vector feature for kinship verification Biometrics Theory, Applications and Systems (BTAS), 2015 IEEE 7th International Conference on. IEEE, 1--6.Google Scholar
- Jiwen Lu. 2012. Neighborhood Repulsed Metric Learning for Kinship Verification Proceedings of the 2012 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) (CVPR '12). IEEE Computer Society, Washington, DC, USA, 2594--2601. http://dl.acm.org/citation.cfm?id=2354409.2354945 Google ScholarDigital Library
- Jiwen Lu, Junlin Hu, Venice Erin Liong, Xiuzhuang Zhou, Andrea Bottino, Ihtesham Ul Islam, Tiago Figueiredo Vieira, Xiaoqian Qin, Xiaoyang Tan, Songcan Chen, et almbox.. 2015. The FG 2015 kinship verification in the Wild Evaluation 2015 11th IEEE International Conference and Workshops on Automatic Face and Gesture Recognition (FG).Google Scholar
- Jiwen Lu, Junlin Hu, Xiuzhuang Zhou, Jie Zhou, Modesto Castrillón-Santana, Javier Lorenzo-Navarro, Lu Kou, Yuanyuan Shang, Andrea Bottino, and Tiago Figuieiredo Vieira. 2014 a. Kinship verification in the wild: The first kinship verification competition Biometrics (IJCB), 2014 IEEE International Joint Conference on. IEEE, 1--6.Google Scholar
- Jiwen Lu, Xiuzhuang Zhou, Yap-Pen Tan, Yuanyuan Shang, and Jie Zhou. 2014 b. Neighborhood repulsed metric learning for kinship verification. IEEE Transactions on PAMI (2014). Google ScholarDigital Library
- Xiaoqian Qin, Xiaoyang Tan, and Songcan Chen. 2015. Tri-Subject Kinship Verification: Understanding the Core of A Family. CoRR (2015).Google Scholar
- Joseph P Robinson, Ming Shao, Yue Wu, and Yun Fu. 2016. Families in the Wild (FIW): Large-Scale Kinship Image Database and Benchmarks Proceedings of the 24th ACM international conference on Multimedia. ACM, 242--246. Google ScholarDigital Library
- J. Luo S. Xia, M. Shao and Y. Fu. 2012. Understanding Kin Relationships in a Photo. IEEE Transactions on Multimedia Vol. 14, 4 (2012), 1046--1056. Google ScholarDigital Library
- Gowri Somanath and Chandra Kambhamettu. 2012. Can faces verify blood-relations?. In Biometrics: Theory, Applications and Systems (BTAS), 2012 IEEE Fifth International Conference on. IEEE, 105--112.Google Scholar
- Tiago F Vieira, Andrea Bottino, and Ihtesham Ul Islam. 2013. Automatic verification of parent-child pairs from face images Iberoamerican Congress on Pattern Recognition. Springer, 326--333.Google Scholar
- Tiago F Vieira, Andrea Bottino, Aldo Laurentini, and Matteo De Simone. 2014. Detecting siblings in image pairs. The Visual Computer (2014). Google ScholarDigital Library
- Shuyang Wang, Joseph P Robinson, and Yun Fu. {n. d.}. Kinship Verification on Families in the Wild with Marginalized Denoising Metric Learning Automatic Face and Gesture Recognition (FG), 2017 12th IEEE International Conference and Workshops on.Google Scholar
- Xiaolong Wang and Chandra Kambhamettu. 2014. Leveraging appearance and geometry for kinship verification 2014 IEEE International Conference on Image Processing (ICIP). IEEE, 5017--5021.Google Scholar
- Siyu Xia, Ming Shao, and Yun Fu. 2011. Kinship verification through transfer learning. In IJCAI Proceedings-international joint conference on artificial intelligence, Vol. Vol. 22. 2539. Google ScholarDigital Library
- Siyu Xia, Ming Shao, Jiebo Luo, and Yun Fu. 2012. Understanding kin relationships in a photo. IEEE Transactions on Multimedia Vol. 14, 4 (2012), 1046--1056. Google ScholarDigital Library
- Min Xu and Yuanyuan Shang. 2016. Kinship Verification Using Facial Images by Robust Similarity Learning. Mathematical Problems in Engineering Vol. 2016 (2016).Google Scholar
- Haibin Yan, Jiwen Lu, Weihong Deng, and Xiuzhuang Zhou. 2014. Discriminative multimetric learning for kinship verification. IEEE Transactions on Information forensics and security, Vol. 9, 7 (2014). Google ScholarDigital Library
- Haibin Yan, Jiwen Lu, and Xiuzhuang Zhou. 2015. Prototype-based discriminative feature learning for kinship verification. IEEE transactions on cybernetics Vol. 45, 11 (2015), 2535--2545.Google ScholarCross Ref
- Li Zhang, KengTeck Ma, Hossein Nejati, Lewis Foo, Terence Sim, and Dong Guo. 2014. A talking profile to distinguish identical twins. Image and Vision Computing Vol. 32, 10 (2014), 771--778.Google ScholarCross Ref
- Ziming Zhang, Yuting Chen, and Venkatesh Saligrama. 2015. Group membership prediction. In Proceedings of the IEEE International Conference on Computer Vision. 3916--3924. Google ScholarDigital Library
- Kaihao Zhang12, Yongzhen Huang, Chunfeng Song, Hong Wu, Liang Wang, and Statistical Machine Intelligence. {n. d.}. Kinship Verification with Deep Convolutional Neural Networks. (. {n. d.}).Google Scholar
- Xiuzhuang Zhou, Junlin Hu, Jiwen Lu, Yuanyuan Shang, and Yong Guan. 2011. Kinship verification from facial images under uncontrolled conditions Proceedings of the 19th ACM international conference on Multimedia. ACM, 953--956. Google ScholarDigital Library
- Xiuzhuang Zhou, Jiwen Lu, Junlin Hu, and Yuanyuan Shang. 2012. Gabor-based gradient orientation pyramid for kinship verification under uncontrolled environments. In Proceedings of the 20th ACM international conference on Multimedia. ACM, 725--728. Google ScholarDigital Library
- Xiuzhuang Zhou, Yuanyuan Shang, Haibin Yan, and Guodong Guo. 2016. Ensemble similarity learning for kinship verification from facial images in the wild. Information Fusion Vol. 32 (2016), 40--48. Google ScholarDigital Library
Index Terms
- RFIW: Large-Scale Kinship Recognition Challenge
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