activity
20162021
most citedFamilies in the Wild (FIW): Large-Scale Kinship Image Database and Benchmarks

82 citations · 207 across the 12 of their papers we have counts for

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Showing 2020Show all

5 papers · 1 filter

cs.CV2020★ 5 cited

Discriminative Cross-Domain Feature Learning for Partial Domain Adaptation

Taotao Jing, Ming Shao, Zhengming Ding

Partial domain adaptation aims to adapt knowledge from a larger and more diverse source domain to a smaller target domain with less number of classes, which has attracted appealing…

cs.CV2020★ 23 cited

Families In Wild Multimedia: A Multimodal Database for Recognizing Kinship

Joseph P. Robinson, Zaid Khan, Yu Yin +2

Kinship, a soft biometric detectable in media, is fundamental for a myriad of use-cases. Despite the difficulty of detecting kinship, annual data challenges using still-images have…

cs.GR2020★ 15 cited

Towards 3D Dance Motion Synthesis and Control

Wenlin Zhuang, Yangang Wang, Joseph Robinson +4

3D human dance motion is a cooperative and elegant social movement. Unlike regular simple locomotion, it is challenging to synthesize artistic dance motions due to the irregularity…

cs.CV2020★ 27 cited

Survey on the Analysis and Modeling of Visual Kinship: A Decade in the Making

Joseph P Robinson, Ming Shao, Yun Fu

Kinship recognition is a challenging problem with many practical applications. With much progress and milestones having been reached after ten years - we are now able to survey the…

cs.CV2020★ 27 cited

Recognizing Families In the Wild: White Paper for the 4th Edition Data Challenge

Joseph P. Robinson, Yu Yin, Zaid Khan +7

Recognizing Families In the Wild (RFIW): an annual large-scale, multi-track automatic kinship recognition evaluation that supports various visual kin-based problems on scales much…