Human perception and understanding is a major domain of computer vision which like many
other vision subdomains recently stands to gain from the use of large models pre-trained on …

Abstract Model pre-training is essential in human-centric perception. In this paper, we first
introduce masked image modeling (MIM) as a pre-training approach for this task. Upon …

Although supervised learning has been highly successful in improving the state-of-the-art in
the domain of image-based computer vision in the past, the margin of improvement has …

Human-centric Computer Vision Tasks (HCTs) refer to a series of tasks related to the human
body, such as Human Pose Estimation, Pedestrian Tracking, Re-Identification (ReID) …

Aligning multiple modalities in a latent space, such as images and texts, has shown to
produce powerful semantic visual representations, fueling tasks like image captioning, text …

Human-centric perception is the core of diverse computer vision tasks and has been a long-
standing research focus. However, previous research studied these human-centric tasks …

Model pre-training has become essential in various recognition tasks. Meanwhile, with the
remarkable advancements in image generation models, pre-training methods utilizing …