2 citations · 3 across the 2 of their papers we have counts for
2 papers
cs.CV2025★ 1 cited
SparseFocus: Learning-based One-shot Autofocus for Microscopy with Sparse Content
Yongping Zhai, Xiaoxi Fu, Qiang Su +8
Autofocus is necessary for high-throughput and real-time scanning in microscopic imaging. Traditional methods rely on complex hardware or iterative hill-climbing algorithms. Recent…
cs.DB2023★ 2 cited
RINAS: Training with Dataset Shuffling Can Be General and Fast
Tianle Zhong, Jiechen Zhao, Xindi Guo +2
Deep learning datasets are expanding at an unprecedented pace, creating new challenges for data processing in model training pipelines. A crucial aspect of these pipelines is datas…