activity
20182023
most citedSemi-Sparsity for Smoothing Filters

25 citations · 41 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CV2023

Semi-sparsity Priors for Image Structure Analysis and Extraction

Junqing Huang, Haihui Wang, Michael Ruzhansky

Image structure-texture decomposition is a long-standing and fundamental problem in both image processing and computer vision fields. In this paper, we propose a generalized semi-s…

cs.GR2023

Semi-sparsity on Piecewise Constant Function Spaces for Triangular Mesh Denoising

Junqing Huang, Haihui Wang, Michael Ruzhansky

We present a semi-sparsity model for 3D triangular mesh denoising, which is motivated by the success of semi-sparsity regularization in image processing applications. We demonstrat…

cs.CV2021★ 3 cited

Intrinsic Image Transfer for Illumination Manipulation

Junqing Huang, Michael Ruzhansky, Qianying Zhang +1

This paper presents a novel intrinsic image transfer (IIT) algorithm for illumination manipulation, which creates a local image translation between two illumination surfaces. This…

cs.CV2021★ 25 cited

Semi-Sparsity for Smoothing Filters

Junqing Huang, Haihui Wang, Xuechao Wang +1

In this paper, we propose an interesting semi-sparsity smoothing algorithm based on a novel sparsity-inducing optimization framework. This method is derived from the multiple obser…

cs.IR2018★ 13 cited

A Hybrid Recommendation Method Based on Feature for Offline Book Personalization

Xixi Li, Jiahao Xing, Haihui Wang +3

Recommendation system has been widely used in different areas. Collaborative filtering focuses on rating, ignoring the features of items itself. In order to effectively evaluate cu…