Although our subjective impression is of a richly detailed visual world, numerous empirical
results suggest that the amount of visual information observers can perceive and remember …

There is increasing evidence that the brain relies on a set of canonical neural computations,
repeating them across brain regions and modalities to apply similar operations to different …

Generative models, in particular generative adversarial networks (GANs), have gained
significant attention in recent years. A number of GAN variants have been proposed and …

In this paper, we present an extensive review on deep learning methods for image
restoration tasks. Deep learning techniques, led by convolutional neural networks, have …

We propose a referenceless perceptual fog density prediction model based on natural
scene statistics (NSS) and fog aware statistical features. The proposed model, called Fog …

We develop an efficient general-purpose blind/no-reference image quality assessment (IQA)
algorithm using a natural scene statistics (NSS) model of discrete cosine transform (DCT) …

Our approach to blind image quality assessment (IQA) is based on the hypothesis that
natural scenes possess certain statistical properties which are altered in the presence of …

Perception is a product of evolution. Our perceptual systems, like our limbs and livers, have
been shaped by natural selection. The effects of selection on perception can be studied …

Inferior temporal cortex (IT) is a key part of the ventral visual pathway implicated in object,
face, and scene perception. But how does IT work? Here, I describe an organizational …

Sensory systems continuously mold themselves to the widely varying contexts in which they
must operate. Studies of these adaptations have played a long and central role in vision …