Key to tasks that require reasoning about natural language in visual con...
We consider the visual disambiguation task of determining whether a pair...
In this work, we aim to reconstruct a time-varying 3D model, capable of
...
Interactions between humans are diverse and context-dependent, but previ...
Large scale text-guided diffusion models have garnered significant atten...
Most humans use visual imagination to understand and reason about langua...
Text-to-image models give rise to workflows which often begin with an
ex...
How can one visually characterize people in a decade? In this work, we
a...
We are witnessing an explosion of neural implicit representations in com...
In imbalanced binary classification problems the objective metric is oft...
We present a task and benchmark dataset for person-centric visual ground...
The abundance and richness of Internet photos of landmarks and cities ha...
We present a technique for estimating the relative 3D rotation of an RGB...
Nowadays, as cameras are rapidly adopted in our daily routine, images of...
Important ethical concerns arising from computer vision datasets of peop...
Predicting where people can walk in a scene is important for many tasks,...
In this work, we propose a novel technique to generate shapes from point...
We model local texture patterns using the co-occurrence statistics of pi...
Visual features are a promising signal for learning bootstrap textual mo...
We are seeing a Cambrian explosion of 3D shape representations for use i...
Optical character recognition (OCR) systems performance have improved
si...
Layout is a fundamental component of any graphic design. Creating large
...
In image-to-image translation the goal is to learn a mapping from one im...
Learning a metric of natural image patches is an important tool for anal...
Recently, there has been increasing interest to leverage the competence ...
We present a co-segmentation technique for space-time co-located image
c...
In this paper, we present a novel non-parametric clustering technique, w...