Human pose estimation localizes body keypoints to accurately recognizing the postures of
individuals given an image. This step is a crucial prerequisite to multiple tasks of computer …

Human pose estimation aims at predicting the poses of human body parts in images or
videos. Since pose motions are often driven by some specific human actions, knowing the …

We present a unified perspective on tackling various human-centric video tasks by learning
human motion representations from large-scale and heterogeneous data resources …

Action recognition and human pose estimation are closely related but both problems are
generally handled as distinct tasks in the literature. In this work, we propose a multitask …

Although action recognition in videos is widely studied, current methods often fail on real-
world datasets. Many recent approaches improve accuracy and robustness to cope with …

Existing methods on video-based action recognition are generally view-dependent, ie,
performing recognition from the same views seen in the training data. We present a novel …

Spatiotemporal human representation based on 3D visual perception data is a rapidly
growing research area. Representations can be broadly categorized into two groups …

Human pose estimation and action recognition are related tasks since both problems are
strongly dependent on the human body representation and analysis. Nonetheless, most …

In-context learning provides a new perspective for multi-task modeling for vision and NLP.
Under this setting the model can perceive tasks from prompts and accomplish them without …

One major challenge for 3D pose estimation from a single RGB image is the acquisition of
sufficient training data. In particular, collecting large amounts of training data that contain …