Machine learning has achieved remarkable success over the past couple of...
Image manipulation detection algorithms designed to identify local anoma...
Managing novelty in perception-based human activity recognition (HAR) is...
Recent trends in the machine learning community show that models with
fi...
For the last decade, convolutional neural networks (CNNs) have vastly
su...
Gustav Fechner's 1860 delineation of psychophysics, the measurement of
s...
Monumental advancements in artificial intelligence (AI) have lured the
i...
Advances in face synthesis have raised alarms about the deceptive use of...
Many applications of data-driven models demand transparency of decisions...
This paper introduces an agent-centric approach to handle novelty in the...
Machine learning has the potential to fuel further advances in data scie...
Computer Vision practitioners must thoroughly understand their model's
p...
Understanding the structure of complex activities in videos is one of th...
How can we effectively engineer a computer vision system that is able to...
The UG^2+ challenge in IEEE CVPR 2019 aims to evoke a comprehensive
disc...
What is the current state-of-the-art for image restoration and enhanceme...
We propose a multi-scale GAN model to hallucinate realistic context
(for...
We propose an algorithm to generate realistic face im-ages of both real ...
Creative works, whether paintings or memes, follow unique journeys that
...
In the last decade, video blogs (vlogs) have become an extremely popular...
In this paper we address the problem of hallucinating high-resolution fa...
Achieving a good measure of model generalization remains a challenge wit...
Scientific fields that are interested in faces have developed their own ...
Prior art has shown it is possible to estimate, through image processing...
Advances in image restoration and enhancement techniques have led to
dis...
In this paper, we consider the problem of automatically segmenting neuro...
By providing substantial amounts of data and standardized evaluation
pro...
As the use of biometrics becomes more wide-spread, the privacy concerns ...