In this paper, we propose a Disentangled Counterfactual Learning (DCL) approach for
physical audiovisual commonsense reasoning. The task aims to infer objects' physics …

With the current exponential growth of video-based social networks, video retrieval using
natural language is receiving ever-increasing attention. Most existing approaches tackle this …

Thermal power generation is one of the main forms of electricity generation in the world, and
the share of thermal power generation in total electricity generation has long been …

Numerical weather prediction (NWP) models solve a system of partial differential equations
based on physical laws to forecast the future state of the atmosphere. These models are …

Existing action quality assessment (AQA) methods often require a large number of label
annotations for fully supervised learning, which are laborious and expensive. In practice, the …

In this paper, we propose a novel model called SGFormer, Semantic Graph TransFormer for
point cloud-based 3D scene graph generation. The task aims to parse a point cloud-based …

Weakly-supervised temporal action localization aims to locate action regions and identify
action categories in untrimmed videos simultaneously by taking only video-level labels as …

Evolution is full of coevolving systems characterized by complex spatio-temporal interactions
that lead to intertwined processes of adaptation. Yet, how adaptation across multiple levels …

Map is an essential medium for people to understand our changing planet. Recently,
research on generating and updating maps through remote sensing images has been an …

In recent years, there has been growing interest in the video-based action quality
assessment (AQA). Most existing methods typically solve AQA problem by considering the …