Work

InfoGCN++: Learning Representation by Predicting the Future for Online Skeleton-Based Action Recognition

Year: 2024

Type: article

Source: IEEE Transactions on Pattern Analysis and Machine Intelligence

DOI: 10.1109/tpami.2024.3466212

Authors: Seunggeun Chi, Hyung-Gun Chi, Qixing Huang, Karthik Ramani

Institutions: Purdue University West Lafayette, The University of Texas at Austin

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: National Science Foundation

Award: FW-HTF: Collaborative Research: Pre-Skilling Workers, Understanding Labor Force Implications and Designing Future Factory Human-Robot Workflows Using a Physical Simulation Platform

OpenAlex ID: W4402896749

FWCI: 3.799

Cites: 64

Cited by: 27

Related to: 10