activity
20182020
most citedTowards 3D Dance Motion Synthesis and Control

15 citations · 44 across the 5 of their papers we have counts for

collaborators

9 papers

cs.CV20205 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.GR202015 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

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

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…

cs.LG201913 cited

What Will Your Child Look Like? DNA-Net: Age and Gender Aware Kin Face Synthesizer

Pengyu Gao, Siyu Xia, Joseph Robinson +4

Visual kinship recognition aims to identify blood relatives from facial images. Its practical application-- like in law-enforcement, video surveillance, automatic family album mana…

cs.CV20195 cited

LPRNet: Lightweight Deep Network by Low-rank Pointwise Residual Convolution

Bin Sun, Jun Li, Ming Shao +1

Deep learning has become popular in recent years primarily due to the powerful computing device such as GPUs. However, deploying these deep models to end-user devices, smart phones…