Generative models have demonstrated impressive results in vision, langua...
A central challenge in 3D scene perception via inverse graphics is robus...
Deep generative models, such as Variational Autoencoders (VAEs), Generat...
In this paper, we introduce LINKS, a dataset of 100 million one degree o...
To facilitate the development of new models to bridge the gap between ma...
The way an object looks and sounds provide complementary reflections of ...
We present 3DP3, a framework for inverse graphics that uses inference in...
Much of what we do as humans is engage socially with other agents, a ski...
We introduce a visually-guided and physics-driven task-and-motion planni...
For machine agents to successfully interact with humans in real-world
se...
This paper proposes a novel neural model for the understudied task of
ge...
Current autoencoder-based disentangled representation learning methods
a...
We introduce ThreeDWorld (TDW), a platform for interactive multi-modal
p...
This paper presents a simulator-assisted training method (SimVAE) for
va...
An event happening in the world is often made of different activities an...
Objects are entities we act upon, where the functionality of an object i...