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 refers to the estimation of the location of body parts and how they
are connected in an image. Human pose estimation from monocular images has wide …

We introduce HuMoR: a 3D Human Motion Model for Robust Estimation of temporal pose
and shape. Though substantial progress has been made in estimating 3D human motion …

We present the first real-time method to capture the full global 3D skeletal pose of a human
in a stable, temporally consistent manner using a single RGB camera. Our method combines …

We propose a CNN-based approach for 3D human body pose estimation from single RGB
images that addresses the issue of limited generalizability of models trained solely on the …

We present a unified deformation model for the markerless capture of multiple scales of
human movement, including facial expressions, body motion, and hand gestures. An initial …

We present the first method to capture the 3D total motion of a target person from a
monocular view input. Given an image or a monocular video, our method reconstructs the …

We present an approach to capture the 3D structure and motion of a group of people
engaged in a social interaction. The core challenges in capturing social interactions are:(1) …

The recently developed depth imaging technologies have provided new directions for
human activity recognition (HAR) without attaching optical markers or any other motion …

We extends the previous 2D cascaded object pose regression work [9] in two aspects so that
it works better for 3D articulated objects. Our first contribution is 3D pose-indexed features …