U-4DGS reformulates occluded dynamic human rendering as MAP estimation under heteroscedastic noise, using a Probabilistic Deformation Network and uncertainty-modulated joint rasterization plus confidence-aware regularizations to deliver SOTA fidelity and robustness on ZJU-MoCap and OcMotion.
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UATTA adapts pre-trained text-image models at test time without labels by using disagreement in bidirectional retrieval rankings to estimate and mitigate uncertainty for improved person search.
Prospective situation awareness enhancing interfaces delivered via AR HUD improve takeover performance after silent automation failures, with perceptual cues most effective at raising situational awareness and system-intent messages best at building trust.
A survey organizing AI methods for inverse PDE problems into inverse problems, inverse design, and control categories, covering applications and future challenges like physics-informed models and uncertainty quantification.
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Uncertainty-Aware 4D Gaussian Splatting for Monocular Occluded Human Rendering
U-4DGS reformulates occluded dynamic human rendering as MAP estimation under heteroscedastic noise, using a Probabilistic Deformation Network and uncertainty-modulated joint rasterization plus confidence-aware regularizations to deliver SOTA fidelity and robustness on ZJU-MoCap and OcMotion.
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Pretrain-then-Adapt: Uncertainty-Aware Test-Time Adaptation for Text-based Person Search
UATTA adapts pre-trained text-image models at test time without labels by using disagreement in bidirectional retrieval rankings to estimate and mitigate uncertainty for improved person search.
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From Awareness to Intent: Mitigating Silent Driving System Failures through Prospective Situation Awareness Enhancing Interfaces
Prospective situation awareness enhancing interfaces delivered via AR HUD improve takeover performance after silent automation failures, with perceptual cues most effective at raising situational awareness and system-intent messages best at building trust.
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Harnessing AI for Inverse Partial Differential Equation Problems: Past, Present, and Prospects
A survey organizing AI methods for inverse PDE problems into inverse problems, inverse design, and control categories, covering applications and future challenges like physics-informed models and uncertainty quantification.