no code implementations • CVPR 2020 • Zhiyi Cheng, Qi Dong, Shaogang Gong, Xiatian Zhu
Person images captured by unconstrained surveillance cameras often have low resolutions (LR).
no code implementations • 30 Dec 2019 • Zhiyi Cheng, Xiatian Zhu, Shaogang Gong
Extensive evaluations demonstrate the performance superiority of our method over state-of-the-art SR and UDA models on both genuine and artificial LR facial imagery data.
no code implementations • 21 Nov 2018 • Zhiyi Cheng, Xiatian Zhu, Shaogang Gong
Whilst recent face-recognition (FR) techniques have made significant progress on recognising constrained high-resolution web images, the same cannot be said on natively unconstrained low-resolution images at large scales.
1 code implementation • 25 Apr 2018 • Zhiyi Cheng, Xiatian Zhu, Shaogang Gong
To facilitate more studies on developing FR models that are effective and robust for low-resolution surveillance facial images, we introduce a new Surveillance Face Recognition Challenge, which we call the QMUL-SurvFace benchmark.