March 8, 2024, 5:45 a.m. | Karina Kvanchiani, Elizaveta Petrova, Karen Efremyan, Alexander Sautin, Alexander Kapitanov

cs.CV updates on arXiv.org arxiv.org

arXiv:2304.13509v3 Announce Type: replace
Abstract: Recently, video conferencing apps have become functional by accomplishing such computer vision-based features as real-time background removal and face beautification. Limited variability in existing portrait segmentation and face parsing datasets, including head poses, ethnicity, scenes, and occlusions specific to video conferencing, motivated us to create a new dataset, EasyPortrait, for these tasks simultaneously. It contains 40,000 primarily indoor photos repeating video meeting scenarios with 13,705 unique users and fine-grained segmentation masks separated into 9 classes. …

abstract apps arxiv become computer computer vision conferencing cs.cv dataset datasets face features functional head parsing real-time segmentation type video video conferencing vision

Data Architect

@ University of Texas at Austin | Austin, TX

Data ETL Engineer

@ University of Texas at Austin | Austin, TX

Lead GNSS Data Scientist

@ Lurra Systems | Melbourne

Senior Machine Learning Engineer (MLOps)

@ Promaton | Remote, Europe

Business Intelligence Manager

@ Sanofi | Budapest

Principal Engineer, Data (Hybrid)

@ Homebase | Toronto, Ontario, Canada