Abstract Object State Changes (OSCs) are pivotal for video understanding. While humans
can effortlessly generalize OSC understanding from familiar to unknown objects current …

We address the task of generating temporally consistent and physically plausible images of
actions and object state transformations. Given an input image and a text prompt describing …

We address the task of generating temporally consistent and physically plausible images of
actions and object state transformations. Given an input image and a text prompt describing …

In this paper we propose a novel virtual try-on from unconstrained designs (ucVTON) task to
enable photorealistic synthesis of personalized composite clothing on input human images …

Accurately detecting active objects undergoing state changes is essential for
comprehending human interactions and facilitating decision-making. The existing methods …

We study the problem of procedure planning in instructional videos, which aims to make a
goal-oriented sequence of action steps given partial visual state observations. The …

In this work, we explore the potential of Knowledge Graphs (KGs) towards an effective Zero-
Shot Learning (ZSL) approach for Object State Classification (OSC) in images. For this …

The capability of intelligent models to extrapolate and comprehend changes in object states
is a crucial yet demanding aspect of AI research, particularly through the lens of human …

Temporally localizing the presence of object states in videos is crucial in understanding
human activities beyond actions and objects. This task has suffered from a lack of training …

Although there is a growing demand for cooking behaviors as one of the expected tasks for
robots, a series of cooking behaviors based on new recipe descriptions by robots in the real …