In this work, we introduce a self-supervised feature representation lear...
We introduce VISOR, a new dataset of pixel annotations and a benchmark s...
Modern computer vision applications rely on learning-based perception mo...
The ability to synthesize realistic and diverse indoor furniture layouts...
Data is the engine of modern computer vision, which necessitates collect...
Labelling data is expensive and time consuming especially for domains su...
Inferring detailed 3D geometry of the scene is crucial for robotics
appl...
Procedural models are being widely used to synthesize scenes for graphic...
Variants of accuracy and precision are the gold-standard by which the
co...
Training models to high-end performance requires availability of large
l...
We tackle the problem of semantic boundary prediction, which aims to ide...
Manually labeling objects by tracing their boundaries is a laborious pro...
In order to bring artificial agents into our lives, we will need to go b...
We present color sails, a discrete-continuous color gamut representation...
Manually labeling datasets with object masks is extremely time consuming...
We propose a novel method for temporally pooling frames in a video for t...