1 citations · 1 across the 7 of their papers we have counts for
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KAN See In the Dark
Aoxiang Ning, Minglong Xue, Jinhong He +1
Existing low-light image enhancement methods are difficult to fit the complex nonlinear relationship between normal and low-light images due to uneven illumination and noise effect…
Addressing Domain Discrepancy: A Dual-branch Collaborative Model to Unsupervised Dehazing
Shuaibin Fan, Minglong Xue, Aoxiang Ning +1
Although synthetic data can alleviate acquisition challenges in image dehazing tasks, it also introduces the problem of domain bias when dealing with small-scale data. This paper p…
Artistic-style text detector and a new Movie-Poster dataset
Aoxiang Ning, Yiting Wei, Minglong Xue +1
Although current text detection algorithms demonstrate effectiveness in general scenarios, their performance declines when confronted with artistic-style text featuring complex str…