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Found 3 papers, 1 papers with code
Towards Precision Healthcare: Robust Fusion of Time Series and Image Data
Our motivation comes from the important areas of predicting mortality and phenotyping where using different modalities of data could significantly improve our ability to predict.
ECOR: Explainable CLIP for Object Recognition
However, their black-box nature and lack of explainability in predictions make them less trustworthy in critical domains.
A generic diffusion-based approach for 3D human pose prediction in the wild
Predicting 3D human poses in real-world scenarios, also known as human pose forecasting, is inevitably subject to noisy inputs arising from inaccurate 3D pose estimations and occlusions.
Ranked #1 on
Human Pose Forecasting
on HumanEva-I
