Nowadays, robots are dominating the manufacturing, entertainment, and healthcare
industries. Robot vision aims to equip robots with the capabilities to discover information …

How human interact with objects depends on the functional roles of the target objects, which
introduces the problem of affordance-aware hand-object interaction. It requires a large …

Recent progress in deep learning is essentially based on a “big data for small tasks”
paradigm, under which massive amounts of data are used to train a classifier for a single …

Recent popularity of consumer-grade virtual reality devices, such as the Oculus Rift and the
HTC Vive, has enabled household users to experience highly immersive virtual …

We propose a systematic learning-based approach to the generation of massive quantities
of synthetic 3D scenes and arbitrary numbers of photorealistic 2D images thereof, with …

Humans have rich understanding of liquid containers and their contents; for example, we
can effortlessly pour water from a pitcher to a cup. Doing so requires estimating the volume …

To what extent do modern AI systems comprehend the physical world? We introduce the
open-access Infant-Level Physical Reasoning Benchmark (InfLevel) to gain insight into this …

Intuitive physics is pivotal for human understanding of the physical world, enabling
prediction and interpretation of events even in infancy. Nonetheless, replicating this level of …

Creating dynamic virtual environments consisting of humans interacting with objects is a
fundamental problem in computer graphics. While it is well‐accepted that agent interactions …

The functionality of a workspace is one of the most important considerations in both virtual
world design and interior design. To offer appropriate functionality to the user, designers …