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Is dynamics prediction indispensable for physical reasoning? If so, what kind of roles do the dynamics prediction modules play during …

Humans communicate with graphical sketches apart from symbolic languages (Fay et al., 2014). Primarily focusing on the latter, recent …

Learning to generate diverse scene-aware and goal-oriented human motions in 3D scenes remains challenging due to the mediocre …

Is intelligence realized by connectionist or classicist? While connectionist approaches have achieved superhuman performance, there has …

We devise a 3D scene graph representation, contact graph+ (cg+), for efficient sequential manipulation planning. Augmented with …

Tracking position and orientation independently affords more agile maneuver for over-actuated multirotor Unmanned Aerial Vehicles …

Latent space Energy-Based Models (EBMs), also known as energy-based priors, have drawn growing interests in generative modeling. Fueled …

Although pointing is sparse, overloaded, and indirect, it allows humans to effectively decode shared information, (ex)change their …

We present Deep Region Competition (DRC), an algorithm designed to extract foreground objects from images in a fully unsupervised …

We study the machine’s understanding of embodied reference: One agent uses both language and gesture to refer to an object to …