FRTSearch reframes fast radio transient detection as instance segmentation on dynamic spectra and uses the segmented shapes to infer dispersion measure and time of arrival, achieving 98% recall with over 99.9% fewer false positives than traditional methods.
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6 Pith papers cite this work. Polarity classification is still indexing.
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A LoRA-adapted conditional diffusion surrogate for electromagnetic calorimeter showers matches key observables within 2% RMSE and reproduces directional trends in design-utility gradients.
A coarse-to-fine autoregressive framework with multi-scale tokenization and scale-aware control reconstructs human motion from sparse observations and reports SOTA accuracy on AMASS.
CucumberVision compares five 3D length methods on 48 RGB-D captures of seven cucumbers and shows a novel medial-axis cubic spline with trapezoidal integration achieves the lowest 4.13% MAPE, outperforming baselines at corrected significance.
RF-DETR trained on ELAIS-N1 achieves ~91% F1 for detection and morphology classification on LOFAR images, generalizes to other fields, recovers most PyBDSF sources as single entities rather than fragmented components, flags artefacts, and matches visual IDs of extended galaxies.
A UAS with YOLO-based swimmer detection and DES simulations reduces drowning rescue response time by a factor of five versus standard operations in tested lake areas.
citing papers explorer
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FRTSearch: Unified Detection and Parameter Inference of Fast Radio Transients using Instance Segmentation
FRTSearch reframes fast radio transient detection as instance segmentation on dynamic spectra and uses the segmented shapes to infer dispersion measure and time of arrival, achieving 98% recall with over 99.9% fewer false positives than traditional methods.
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Differentiable Surrogate for Detector Simulation and Design with Diffusion Models
A LoRA-adapted conditional diffusion surrogate for electromagnetic calorimeter showers matches key observables within 2% RMSE and reproduces directional trends in design-utility gradients.
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MotionMAR: Multi-scale Auto-Regressive Human Motion Reconstruction from Sparse Observations
A coarse-to-fine autoregressive framework with multi-scale tokenization and scale-aware control reconstructs human motion from sparse observations and reports SOTA accuracy on AMASS.
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Curvature-aware 3D length estimation of greenhouse cucumbers using RGB-D imaging and cubic spline arc-length integration
CucumberVision compares five 3D length methods on 48 RGB-D captures of seven cucumbers and shows a novel medial-axis cubic spline with trapezoidal integration achieves the lowest 4.13% MAPE, outperforming baselines at corrected significance.
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Transformer-Based Source Detection and Morphological Classification in LOFAR Deep-Field Continuum Images
RF-DETR trained on ELAIS-N1 achieves ~91% F1 for detection and morphology classification on LOFAR images, generalizes to other fields, recovers most PyBDSF sources as single entities rather than fragmented components, flags artefacts, and matches visual IDs of extended galaxies.
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Autonomous Unmanned Aircraft Systems for Enhanced Search and Rescue of Drowning Swimmers: Image-Based Localization and Mission Simulation
A UAS with YOLO-based swimmer detection and DES simulations reduces drowning rescue response time by a factor of five versus standard operations in tested lake areas.