My paper shortlisted for Best Paper at CVPR 2019

My work “Estimating 3D Motion and Forces of Person-Object Interactions From Monocular Video” was shortlisted among the best paper finalists at the Conference on Computer Vision and Pattern Recognition 2019 (CVPR 2019) that took place in Long Beach (CA, USA) in summer.

The paper introduces a new approach for automatic reconstruction of 3D motion and actuation forces of a person interacting with an object from a single RGB video. The objective is to enable robots to learn how to manipulate tools by watching instructional videos that are available at, for example, Youtube. The approach was developed in collaboration with researchers from LAAS-CNRS in Toulouse.

The project Webpage is available online.

The CVPR conference (IEEE/CVF Conference on Computer Vision and Pattern Recognition) is one of the top three conferences in the field of computer vision (together with ICCV and ECCV) and is listed among the top 10 most cited journals and conferences over all areas of science by Google Scholar. A total of 1294 papers have been accepted this year from a record-high 5160 submissions (25% acceptance rate). The best paper finalists were selected by the program committee as the top 45 papers (top 1%) from all submissions.