activity
20232026
most citedForklens: Accurate weak-lensing shear measurement with deep learning

10 citations · 11 across the 4 of their papers we have counts for

collaborators

5 papers

cs.CV2026

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,…

astro-ph.GA2025

The Magnified Waltz: Simulating Light Curves of Binary Stars Passing through Micro-Caustics in Strong Lensing Galaxy Clusters

Wenwen Zheng, Xiaoting Fu, Yang Chen +5

Individual stars located near the caustics of galaxy clusters can undergo extreme magnification when crossing micro-caustics, rendering them observable even at cosmological distanc…

astro-ph.IM2024

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…

astro-ph.IM2024★ 1 cited

How to coadd images: II. Anti-aliasing and PSF deconvolution

Lei Wang, Huanyuan Shan, Lin Nie +8

We have developed a novel method for co-adding multiple under-sampled images that combines the iteratively reweighted least squares and divide-and-conquer algorithms. Our approach…

astro-ph.CO2023★ 10 cited

Forklens: Accurate weak-lensing shear measurement with deep learning

Zekang Zhang, Huanyuan Shan, Nan Li +25

Weak gravitational lensing is one of the most important probes of the nature of dark matter and dark energy. In order to extract cosmological information from next-generation weak…