Selected Projects

The selected works are machine learning and computer vision research projects completed during graduate school: publicly available data sets, source codes and supporting documents. Do not hesitate to contact me if an item is desirable but not listed. Extensions and contributions to any of these works are also encouraged and appreciated.

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Selected Publications

Check out Scholar for a complete list.

2021

Joseph P Robinson, et al., "Balancing Biases and Preserving Privacy on Balanced Faces in the Wild." arXiv preprint arXiv:2103.09118 (2021). [paper]

Joseph P Robinson, et. al., "Families In Wild Multimedia (FIW-MM): A Multi-Modal Database for Recognizing Kinship." in IEEE Transaction on Multimedia (2021). [paper]

Joseph P Robinson, et al. "Survey on the Analysis and Modeling of Visual Kinship: A Decade in the Making." in IEEE Trans. on Pattern Analysis & Machine Intelligence (2021). [paper]

2020

Joseph P Robinsonet. al., "Face Recognition: Too Bias, or Not Too Bias?."  in CVPR Workshop (2020). [paper]​

Joseph P Robinson, et. al., "Recognizing Families In the Wild (RFIW): The 4th Edition."  in IEEE Automatic Face and Gesture Recognition (2020). [paper]​​

Yu Yin, Joseph P Robinson, Yulun Zhang, Yun Fu. "Joint Super-Resolution and Alignment of Tiny Faces." in AAAI (2020). [paper]

2019

Joseph P Robinson, Yuncheng Li, Ning Zhang, Yun Fu, and Sergey Tulyakov. "Laplace Landmark Localization." in ICCV (2019). [paper, poster]

2018

2017

Joseph P Robinson, Ming Shao, Handong Zhao, Yue Wu, Timothy Gillis, Yun Fu. "Recognizing Families In the Wild (RFIW): Data Challenge Workshop," ACM MM: Workshop on RFIW (2017). [paperproceedingscontents]

2016

Joseph P Robinsonet. al., “Families In the Wild (FIW): large-scale kinship image database and benchmarks." In Proc. of the ACM on Multimedia Conference (2016). [paper]