89 citations · 371 across the 28 of their papers we have counts for
5 papers · 2 filters
CURE-OR: Challenging Unreal and Real Environments for Object Recognition
Dogancan Temel, Jinsol Lee, Ghassan AlRegib
In this paper, we introduce a large-scale, controlled, and multi-platform object recognition dataset denoted as Challenging Unreal and Real Environments for Object Recognition (CUR…
UNIQUE: Unsupervised Image Quality Estimation
D. Temel, M. Prabhushankar, G. AlRegib
In this paper, we estimate perceived image quality using sparse representations obtained from generic image databases through an unsupervised learning approach. A color space trans…
CSV: Image Quality Assessment Based on Color, Structure, and Visual System
Dogancan Temel, Ghassan AlRegib
This paper presents a full-reference image quality estimator based on color, structure, and visual system characteristics denoted as CSV. In contrast to the majority of existing me…
Traffic Signs in the Wild: Highlights from the IEEE Video and Image Processing Cup 2017 Student Competition [SP Competitions]
Dogancan Temel, Ghassan AlRegib
Robust and reliable traffic sign detection is necessary to bring autonomous vehicles onto our roads. State-of-the-art algorithms successfully perform traffic sign detection over ex…
Perceptual Image Quality Assessment through Spectral Analysis of Error Representations
Dogancan Temel, Ghassan AlRegib
In this paper, we analyze the statistics of error signals to assess the perceived quality of images. Specifically, we focus on the magnitude spectrum of error images obtained from…