2 citations · 4 across the 3 of their papers we have counts for
3 papers
cs.CV2024
Perceptive self-supervised learning network for noisy image watermark removal
Chunwei Tian, Menghua Zheng, Bo Li +3
Popular methods usually use a degradation model in a supervised way to learn a watermark removal model. However, it is true that reference images are difficult to obtain in the rea…
quant-ph2023★ 2 cited
Delegated variational quantum algorithms based on quantum homomorphic encryption
Qin Li, Junyu Quan, Jinjing Shi +2
Variational quantum algorithms (VQAs) are considered as one of the most promising candidates for achieving quantum advantages on quantum devices in the noisy intermediate-scale qua…
cs.DB2016★ 2 cited
Data Partitioning View of Mining Big Data
Shichao Zhang
There are two main approximations of mining big data in memory. One is to partition a big dataset to several subsets, so as to mine each subset in memory. By this way, global patte…