51 citations · 245 across the 19 of their papers we have counts for
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cs.CV2018
Synthesized Texture Quality Assessment via Multi-scale Spatial and Statistical Texture Attributes of Image and Gradient Magnitude Coefficients
S. Alireza Golestaneh, Lina Karam
Perceptual quality assessment for synthesized textures is a challenging task. In this paper, we propose a training-free reduced-reference (RR) objective quality assessment method t…
cs.CV2018
Full Reference Objective Quality Assessment for Reconstructed Background Images
Aditee Shrotre, Lina Karam
With an increased interest in applications that require a clean background image, such as video surveillance, object tracking, street view imaging and location-based services on we…
cs.CV2018
Generative Sensing: Transforming Unreliable Sensor Data for Reliable Recognition
Lina Karam, Tejas Borkar, Yu Cao +1
This paper introduces a deep learning enabled generative sensing framework which integrates low-end sensors with computational intelligence to attain a high recognition accuracy on…