68 citations · 80 across the 5 of their papers we have counts for
5 papers
Movement science needs different pose tracking algorithms
Nidhi Seethapathi, Shaofei Wang, Rachit Saluja +2
Over the last decade, computer science has made progress towards extracting body pose from single camera photographs or videos. This promises to enable movement science to detect d…
Efficient Multi-Person Pose Estimation with Provable Guarantees
Shaofei Wang, Konrad Paul Kording, Julian Yarkony
Multi-person pose estimation (MPPE) in natural images is key to the meaningful use of visual data in many fields including movement science, security, and rehabilitation. In this p…
Efficient Column Generation for Cell Detection and Segmentation
Chong Zhang, Shaofei Wang, Miguel A. Gonzalez-Ballester +1
We study the problem of instance segmentation in biological images with crowded and compact cells. We formulate this task as an integer program where variables correspond to cells…
Multi-Person Pose Estimation via Column Generation
Shaofei Wang, Chong Zhang, Miguel A. Gonzalez-Ballester +2
We study the problem of multi-person pose estimation in natural images. A pose estimate describes the spatial position and identity (head, foot, knee, etc.) of every non-occluded b…
Exploiting skeletal structure in computer vision annotation with Benders decomposition
Shaofei Wang, Konrad Kording, Julian Yarkony
Many annotation problems in computer vision can be phrased as integer linear programs (ILPs). The use of standard industrial solvers does not to exploit the underlying structure of…