# OTPose: Occlusion-Aware Transformer for Pose Estimation in Sparsely-Labeled Videos

> Research article (2022 IEEE International Conference on Systems, Man, and Cybernetics (SMC), 2022) · cited 13× · AI/ML

**Wikidata**: [openalex:W4309675216](https://www.wikidata.org/wiki/openalex:W4309675216)  
**Source**: https://4ort.xyz/entity/otpose-occlusion-aware-transformer-for-pose-estimation-in-sparsely-labeled-videos