140 citations · 415 across the 43 of their papers we have counts for
7 papers · 1 filter
WavEnhancer: Unifying Wavelet and Transformer for Image Enhancement
Zinuo Li, Xuhang Chen, Chi-Man Pun +1
Image enhancement is a technique that frequently utilized in digital image processing. In recent years, the popularity of learning-based techniques for enhancing the aesthetic perf…
ShaDocNet: Learning Spatial-Aware Tokens in Transformer for Document Shadow Removal
Xuhang Chen, Xiaodong Cun, Chi-Man Pun +1
Shadow removal improves the visual quality and legibility of digital copies of documents. However, document shadow removal remains an unresolved subject. Traditional techniques rel…
Asymmetric Scalable Cross-modal Hashing
Wenyun Li, Chi-Man Pun
Cross-modal hashing is a successful method to solve large-scale multimedia retrieval issue. A lot of matrix factorization-based hashing methods are proposed. However, the existing…
Arbitrary Style Transfer with Structure Enhancement by Combining the Global and Local Loss
Lizhen Long, Chi-Man Pun
Arbitrary style transfer generates an artistic image which combines the structure of a content image and the artistic style of the artwork by using only one trained network. The im…
Image Harmonization with Region-wise Contrastive Learning
Jingtang Liang, Chi-Man Pun
Image harmonization task aims at harmonizing different composite foreground regions according to specific background image. Previous methods would rather focus on improving the rec…
Learning Enriched Illuminants for Cross and Single Sensor Color Constancy
Xiaodong Cun, Zhendong Wang, Chi-Man Pun +4
Color constancy aims to restore the constant colors of a scene under different illuminants. However, due to the existence of camera spectral sensitivity, the network trained on a c…
Reversible Data Hiding in Encrypted Images by Lossless Pixel Conversion
Zi-Long Liu, Chi-Man Pun
Reversible data hiding in encrypted image (RDHEI) becomes a hot topic, and a lot of algorithms have been proposed to optimize this technology. However, these algorithms cannot achi…