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Siddharth Seth

3 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
2020

Self-Supervised 3D Human Pose Estimation via Part Guided Novel Image Synthesis

CVPR 2020oral

Camera captured human pose is an outcome of several sources of variation. Performance of supervised 3D pose estimation approaches comes at the cost of dispensing with variations, such as shape and appearance, that may be useful for solving other related tasks. As a result, the learned model not only…

Cited by 109PDFScholar