activity
20182022
most citedRecognizing Families In the Wild: White Paper for the 4th Edition Data Challenge

27 citations · 69 across the 6 of their papers we have counts for

collaborators

6 papers

cs.CV2022★ 4 cited

Unsupervised Visual Defect Detection with Score-Based Generative Model

Yapeng Teng, Haoyang Li, Fuzhen Cai +2

Anomaly Detection (AD), as a critical problem, has been widely discussed. In this paper, we specialize in one specific problem, Visual Defect Detection (VDD), in many industrial ap…

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

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.LG2019★ 13 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.CV2019★ 6 cited

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…

cs.CV2018★ 4 cited

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…