Being able to map the activities of others into one's own point of view is one fundamental
human skill even from a very early age. Taking a step toward understanding this human …

Visual affordance recognition is an important research topic in robotics, human-computer
interaction, and other computer vision tasks. In recent years, deep learning-based …

Understanding egocentric human-object interaction (HOI) is a fundamental aspect of human-
centric perception, facilitating applications like AR/VR and embodied AI. For the egocentric …

Recent rapid developments of dexterous robotic hands have greatly enhanced the
manipulative capabilities of robots, enabling them to perform industrial tasks in human-like …

Accurate affordance detection and segmentation with pixel precision is an important piece in
many complex systems based on interactions, such as robots and assitive devices. We …

We have witnessed significant progress in human-object interaction (HOI) detection.
However, relying solely on mAP (mean Average Precision) scores as a summary metric …

In the development of science, accurate and reproducible documentation of the
experimental process is crucial. Automatic recognition of the actions in experiments from …

Visual affordance learning is a key component for robots to understand how to interact with
objects. Conventional approaches in this field rely on pre-defined objects and actions, falling …

We propose a novel benchmark for cross-view knowledge transfer of dense video
captioning, adapting models from web instructional videos with exocentric views to an …

Human activities exhibit a strong correlation between actions and the places where these
are performed, such as washing something at a sink. More specifically, in daily living …