Kai-Tian Yuan

Spatio-temporal Deep Learning for Moving-object Tracklet Verification in Wide-field Optical Surveys

Wide-field optical surveys generate enormous numbers of moving-object candidate detections, making reliable tracklet verification a critical component of modern survey pipelines. Existing real–bogus (R/B) classifiers typically evaluate individual detections based on their morphological and photometric properties, witho...