Publications

Semantic image segmentation is an important yet unsolved problem. One of the major challenges is the large variability of the object …

We address the problem of recovering absolute 3D human poses from multi-view images by incorporating multi-view geometric priors into …

We propose Locally Connected Network for 3D human pose estimation. It extracts and propagates features over the pose graph and can …

we focus on obtaining high quality object linking results for better classification. Unlike previous methods that link objects by …

Estimating 3D human poses from 2D joint positions is an ill-posed problem, and is further complicated by the fact that the estimated 2D …

We propose a method for estimating 3D human poses from single images or video sequences.

We address the problem of video object segmentation which outputs the masks of a target object throughout a video given only a bounding …

We propose a variant of archetypal analysis which scales gracefully to large datasets. The core idea is to decouple the binding between …

We address the task of action recognition from a sequence of 3D human poses. This is a challenging task firstly because the poses of …

A key-pose-motif contains a set of ordered poses or action units(a short sequence of poses), which are required to be close but not …

Pose-based action recognition in 3D is the task of recognizing an action (e.g., walking or running) from a sequence of 3D skeletal …

We propose a method of estimating 3D human poses from a single image, which works in conjunction with an existing 2D pose detector.

We propose one of the earliest approach for pose-based action recognition in wild videos.