We propose a physics-based method for synthesizing dexterous hand-object...
We present a method for inferring diverse 3D models of human-object
inte...
Neural face avatars that are trained from multi-view data captured in ca...
We introduce the dynamic grasp synthesis task: given an object with a kn...
In this paper we propose a convolutional autoencoder to address the prob...
Estimating eye-gaze from images alone is a challenging task, in large pa...
We present a generative model for stroke-based drawing tasks which is ab...
In this paper, we propose a novel architecture for the task of 3D human
...
We are releasing a dataset of diagram drawings with dynamic drawing
info...
Solving long-horizon sequential decision making tasks in environments wi...
Human motion prediction is a challenging and important task in many comp...
Convolutional architectures have recently been shown to be competitive o...
We demonstrate a novel deep neural network capable of reconstructing hum...
Digital ink promises to combine the flexibility and aesthetics of handwr...
In this paper we propose a new semi-supervised GAN architecture (ss-Info...
We propose a new architecture for the learning of predictive spatio-temp...
Functional magnetic resonance imaging produces high dimensional data, wi...