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20152022
most citedMovement science needs different pose tracking algorithms

68 citations · 208 across the 16 of their papers we have counts for

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Showing cs.CVShow all

5 papers · 1 filter

cs.CV2020

MoVi: A Large Multipurpose Motion and Video Dataset

Saeed Ghorbani, Kimia Mahdaviani, Anne Thaler +4

Human movements are both an area of intense study and the basis of many applications such as character animation. For many applications, it is crucial to identify movements from vi…

cs.CV2019

End-to-end Training of CNN-CRF via Differentiable Dual-Decomposition

Shaofei Wang, Vishnu Lokhande, Maneesh Singh +2

Modern computer vision (CV) is often based on convolutional neural networks (CNNs) that excel at hierarchical feature extraction. The previous generation of CV approaches was often…

cs.CV2019★ 68 cited

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…

cs.CV2017★ 1 cited

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…

cs.CV2017★ 4 cited

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…