Multi-task learning on synthetic mmWave point clouds from clinical images enables regression of VAT and BFP from real mmWave scans with MAE of 1.0 L and 3.2%.
In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition
2 Pith papers cite this work. Polarity classification is still indexing.
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PoseShield learns a neural collision field directly in SMPL pose space with Eikonal regularization to correct self-collisions post-hoc in human pose estimation and motion generation, achieving 95.8% success on a new benchmark.
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Non-intrusive Body Composition Assessment from Full-body mmWave Scans
Multi-task learning on synthetic mmWave point clouds from clinical images enables regression of VAT and BFP from real mmWave scans with MAE of 1.0 L and 3.2%.
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PoseShield: Neural Collision Fields for Human Self-Collision Resolution
PoseShield learns a neural collision field directly in SMPL pose space with Eikonal regularization to correct self-collisions post-hoc in human pose estimation and motion generation, achieving 95.8% success on a new benchmark.