One of the challenging input settings for visual servoing is when the in...
In this paper, we study a problem of egocentric scene understanding, i.e...
Appearance of dressed humans undergoes a complex geometric transformatio...
Reconstructing the 3D pose of a person in metric scale from a single vie...
Recent technological developments have spurred great advances in the
com...
This paper presents a new large multiview dataset called HUMBI for human...
This paper presents a new end-to-end semi-supervised framework to learn ...
A key challenge of learning the geometry of dressed humans lies in the
l...
In this paper, we present a method of clothes retargeting; generating th...
We present a new pose transfer method for synthesizing a human animation...
In this paper, we present a spatial rectifier to estimate surface normal...
This paper presents a new method to synthesize an image from arbitrary v...
Improvements in data-capture and face modeling techniques have enabled u...
This paper presents a semi-supervised learning framework for a customize...
We present a new method to localize a camera within a previously unseen
...
This paper presents a new dataset called HUMBI - a large corpus of high
...
This paper presents a semi-supervised learning framework to train a keyp...
This paper presents MONET---an end-to-end semi-supervised learning frame...
This paper presents a method to reconstruct dense semantic trajectory st...
This paper studies a problem of inverse visual path planning: creating a...
This paper presents a method to predict the future movements (location a...
This paper presents a method to assess a basketball player's performance...
A first-person camera, placed at a person's head, captures, which object...
Unlike traditional third-person cameras mounted on robots, a first-perso...
On a minute-to-minute basis people undergo numerous fluid interactions w...
This paper presents a method for future localization: to predict a set o...