We present a novel method for populating 3D indoor scenes with virtual h...
Self-supervised learning has become a popular approach in recent years f...
Combining human body models with differentiable rendering has recently
e...
Synthesizing natural interactions between virtual humans and their 3D
en...
Modeling investor behavior is crucial to identifying behavioral coaching...
In this paper, we aim to create generalizable and controllable neural si...
Registering point clouds of dressed humans to parametric human models is...
This paper introduces a new set of video analytics plugins developed for...
Modern computer vision (CV) is often based on convolutional neural netwo...
In this paper, we introduce a new optimization approach to Entity Resolu...
Over the last decade, computer science has made progress towards extract...
We introduce a novel mechanism to tighten the local polytope relaxation ...
Multi-person pose estimation (MPPE) in natural images is key to the
mean...
We study the problem of instance segmentation in biological images with
...
We study the problem of multi-person pose estimation in natural images. ...
Many annotation problems in computer vision can be phrased as integer li...
We study the problems of multi-person pose segmentation in natural image...
We describe an end-to-end framework for learning parameters of min-cost ...
We study the problem of multi-target tracking and data association in vi...
We describe a model for multi-target tracking based on associating
colle...