5 accepted papers
HOI detection is essential for human-computer interaction, especially in behavior detection and robot manipulation. Existing mainstream transformer methods of HOI detection are focused on single-stream detection only, e.g., image \rightarrow HOI(\mathcal{P}_{1})image \rightarrow HOI(\mathcal{P}_{1})…
Event cameras can perceive pixel-level brightness changes to output asynchronous event streams, and have notable advantages in high temporal resolution, high dynamic range and low power consumption for challenging vision tasks. To apply existing learning models on event data, many researchers integr
Although multi-person human pose estimation has made great progress in recent years, the challenges such as various scales of persons, occluded keypoints, and crowded backgrounds in complex scenes are still remained to be solved. In this paper, we propose a novel multi-level pose estimation network…
As increasing attention is paid on human action recognition from skeleton data, this paper focuses on such tasks by proposing a hierarchical model to discover the structure information of body-parts involved in human actions. Considering human actions as simultaneous motions of different body-parts…
This paper proposes a flexible descriptor for representing 6-D rigid body motion trajectories, which not only shows strong invariances and descriptive ability but also achieves satisfactory results in both recognition accuracy and efficiency. 6-D rigid body motion trajectories are first transformed…