Work

Exploring the Impact of Rendering Method and Motion Quality on Model Performance when Using Multi-view Synthetic Data for Action Recognition

Year: 2024

Type: conference-paper

Source: IEEE Winter Conference on Applications of Computer Vision

DOI: 10.1109/wacv57701.2024.00453

Authors: Stanislav Panev, Emily Kim, Sai Abhishek Si Namburu, Desislava Nikolova, Celso de Melo, Fernando De La Torre, Jessica Hodgins

Institutions: Carnegie Mellon University, Technical University of Sofia, DEVCOM Army Research Laboratory, United States Army

Language: English

Topic: Human Pose and Action Recognition

Subfield: Computer Vision and Pattern Recognition

Field: Computer Science

Domain: Physical Sciences

Open Access status: closed

Funder: Arm

OpenAlex ID: W4394593201

FWCI: 0.561

Cites: 52

Cited by: 4

Related to: 10