Face recognition in low quality images: A survey
Low-resolution face recognition (LRFR) has received increasing attention over the past few
years. Its applications lie widely in the real-world environment when high-resolution or high …
years. Its applications lie widely in the real-world environment when high-resolution or high …
Low-resolution face recognition in the wild via selective knowledge distillation
Typically, the deployment of face recognition models in the wild needs to identify low-
resolution faces with extremely low computational cost. To address this problem, a feasible …
resolution faces with extremely low computational cost. To address this problem, a feasible …
On low-resolution face recognition in the wild: Comparisons and new techniques
Although face recognition systems have achieved impressive performance in recent years,
the low-resolution face recognition task remains challenging, especially when the low …
the low-resolution face recognition task remains challenging, especially when the low …
[HTML][HTML] Towards collaborative robotics in top view surveillance: A framework for multiple object tracking by detection using deep learning
Collaborative Robotics is one of the high-interest research topics in the area of academia
and industry. It has been progressively utilized in numerous applications, particularly in …
and industry. It has been progressively utilized in numerous applications, particularly in …
Top view multiple people tracking by detection using deep SORT and YOLOv3 with transfer learning: within 5G infrastructure
Nowadays, 5G profoundly impacts video surveillance and monitoring services by processing
video streams at high-speed with high-reliability, high bandwidth, and secure network …
video streams at high-speed with high-reliability, high bandwidth, and secure network …
Benchmarking lightweight face architectures on specific face recognition scenarios
Y Martinez-Diaz, M Nicolas-Diaz… - Artificial Intelligence …, 2021 - Springer
This paper studies the impact of lightweight face models on real applications. Lightweight
architectures proposed for face recognition are analyzed and evaluated on different …
architectures proposed for face recognition are analyzed and evaluated on different …
Hierarchical deep CNN feature set-based representation learning for robust cross-resolution face recognition
Cross-resolution face recognition (CRFR), which is important in intelligent surveillance and
biometric forensics, refers to the problem of matching a low-resolution (LR) probe face …
biometric forensics, refers to the problem of matching a low-resolution (LR) probe face …
Efficient low-resolution face recognition via bridge distillation
Face recognition in the wild is now advancing towards light-weight models, fast inference
speed and resolution-adapted capability. In this paper, we propose a bridge distillation …
speed and resolution-adapted capability. In this paper, we propose a bridge distillation …
Study of image sensors for enhanced face recognition at a distance in the Smart City context
Smart monitoring and surveillance systems have become one of the fundamental areas in
the context of security applications in Smart Cities. In particular, video surveillance for …
the context of security applications in Smart Cities. In particular, video surveillance for …
Cross-resolution face recognition with pose variations via multilayer locality-constrained structural orthogonal procrustes regression
In real video surveillance scenes, the extracted face regions generally have low-resolution
(LR) and are sensitive to pose and illumination variations; these flaws undoubtedly degrade …
(LR) and are sensitive to pose and illumination variations; these flaws undoubtedly degrade …