Paper-Conference

The simple gesture of pointing can greatly augment one’s ability to comprehend states of the world based on observations. It …

Understanding what we genuinely mean instead of what we literally say in conversations is challenging for both humans and machines; …

Humans possess a unique social cognition capability; nonverbal communication can convey rich social information among agents. In …

Causal induction, i.e., identifying unobservable mechanisms that lead to the observable relations among variables, has played a pivotal …

Spatial-temporal reasoning is a challenging task in Artificial Intelligence (AI) due to its demanding but unique nature: a theoretic …

In this paper, we rethink the problem of scene reconstruction from an embodied agent’s perspective: While the classic view …

Predicting agents’ future trajectories plays a crucial role in modern AI systems, yet it is challenging due to intricate …

Understanding and interpreting human actions is a long-standing challenge and a critical indicator of perception in artificial …

We design and develop a new shared Augmented Reality (AR) workspace for Human-Robot Interaction (HRI), which establishes a …

We study the hierarchical knowledge transfer problem using a cloth-folding task, wherein the agent is first given a set of human …