3 citations · 3 across the 4 of their papers we have counts for
5 papers
SAM3RL: Memory Control via Reinforcement Learning for Visual Object Tracking
Tomáš Čížek, Matej Straka, Illia Volkov +5
Segment Anything Model 3 (SAM 3) is a foundation model for image and video segmentation that sets the state of the art in visual object tracking. Its tracker, inherited from SAM 2,…
Adaptive Detection of Fast Moving Celestial Objects Using a Mixture of Experts and Physical-Inspired Neural Network
Peng Jia, Ge Li, Bafeng Cheng +2
Fast moving celestial objects are characterized by velocities across the celestial sphere that significantly differ from the motions of background stars. In observational images, t…
Image Pre-Processing Framework for Time-Domain Astronomy in the Artificial Intelligence Era
Liang Cao, Peng Jia, Jiaxin Li +3
The rapid advancement of image analysis methods in time-domain astronomy, particularly those leveraging AI algorithms, has highlighted efficient image pre-processing as a critical…
UPdec-Webb: A Dataset for Coaddition of JWST NIRCam Images
Lei Wang, Huanyuan Shan, Lin Nie +19
We present the application of the image coaddition algorithm, Up-sampling and PSF Deconvolution Coaddition (UPDC), for stacking multiple exposure images captured by the James Webb…
First Discovery and Confirmation of PN Candidates Found from AI and Deep Learning Techniques Applied to VPHAS+ Survey Data
Yushan Li, Quentin Parker, Peng Jia
Context. We have developed deep learning (DL) and AI-based tools to search extant narrow-band wide-field H surveys of the Galactic Plane for elusive planetary nebulae (PNe) whic…