82 citations · 207 across the 12 of their papers we have counts for
12 papers
The 5th Recognizing Families in the Wild Data Challenge: Predicting Kinship from Faces
Joseph P. Robinson, Can Qin, Ming Shao +3
Recognizing Families In the Wild (RFIW), held as a data challenge in conjunction with the 16th IEEE International Conference on Automatic Face and Gesture Recognition (FG), is a la…
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…
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…
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…
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…
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…
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…
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…
Real-time Memory Efficient Large-pose Face Alignment via Deep Evolutionary Network
Bin Sun, Ming Shao, Siyu Xia +1
There is an urgent need to apply face alignment in a memory-efficient and real-time manner due to the recent explosion of face recognition applications. However, impact factors suc…
Learning Robust Data Representation: A Knowledge Flow Perspective
Zhengming Ding, Ming Shao, Handong Zhao +1
It is always demanding to learn robust visual representation for various learning problems; however, this learning and maintenance process usually suffers from noise, incompletenes…
Arc-support Line Segments Revisited: An Efficient and High-quality Ellipse Detection
Changsheng Lu, Siyu Xia, Ming Shao +1
Over the years many ellipse detection algorithms spring up and are studied broadly, while the critical issue of detecting ellipses accurately and efficiently in real-world images r…
Families in the Wild (FIW): Large-Scale Kinship Image Database and Benchmarks
Joseph P. Robinson, Ming Shao, Yue Wu +1
We present the largest kinship recognition dataset to date, Families in the Wild (FIW). Motivated by the lack of a single, unified dataset for kinship recognition, we aim to provid…