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Pradyumna YM

2 accepted papers

2022

Uncertainty-Aware Adaptation for Self-Supervised 3D Human Pose Estimation

CVPR 2022poster

The advances in monocular 3D human pose estimation are dominated by supervised techniques that require large-scale 2D/3D pose annotations. Such methods often behave erratically in the absence of any provision to discard unfamiliar out-of-distribution data. To this end, we cast the 3D human pose lear…

Cited by 45PDFScholar
2021

Non-local Latent Relation Distillation for Self-Adaptive 3D Human Pose Estimation

NeurIPS 2021poster

Available 3D human pose estimation approaches leverage different forms of strong (2D/3D pose) or weak (multi-view or depth) paired supervision. Barring synthetic or in-studio domains, acquiring such supervision for each new target environment is highly inconvenient. To this end, we cast 3D pose lear…

Cited by 12SourcePDFScholar