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Found 5 papers, 0 papers with code
Single Image Object Counting and Localizing using Active-Learning
The need to count and localize repeating objects in an image arises in different scenarios, such as biological microscopy studies, production lines inspection, and surveillance recordings analysis.
Unpaired Learning for High Dynamic Range Image Tone Mapping
In this paper we describe a new tone-mapping approach guided by the distinct goal of producing low dynamic range (LDR) renditions that best reproduce the visual characteristics of native LDR images.
Deblurring using Analysis-Synthesis Networks Pair
Unlike existing deblurring networks, this design allows us to explicitly incorporate the blur-kernel in the network's training.
Detecting Repeating Objects using Patch Correlation Analysis
In this paper we describe a new method for detecting and counting a repeating object in an image.
Reducing Lateral Visual Biases in Displays
The human visual system is composed of multiple physiological components that apply multiple mechanisms in order to cope with the rich visual content it encounters.
