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ThermoField bridges the gap between thermal scene reconstruction and inverse heat-transfer analysis, enabling accurate predictions of thermal behavior in complex environments.
STOIC outperforms traditional conformal prediction methods, delivering robust uncertainty estimates that are crucial for risk-aware decision-making in energy systems.
STAITUS achieves unprecedented tracking stability and segmentation quality by disentangling object appearance from geometric pose, addressing critical limitations in current video object tracking approaches.
Stop reinventing the wheel for PHM evaluation: Picid offers a modular, reproducible infrastructure that handles everything from data splits to metrics.
Stop reimplementing papers in isolation: a framework-guided agent can turn under-specified methods into executable, assumption-aware, and systematically comparable benchmarks.
Fine-tuning a visual geometry transformer with SEAR unlocks surprisingly accurate RGB-Thermal 3D reconstruction, even surpassing SOTA methods despite training on significantly less multimodal data.