output
20122026
most citedIncorporating Lambertian Priors into Surface Normals Measurement

38 citations

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6 papers · 1 filter

cs.CV2025★ 15 cited

SGDFuse: SAM-Guided Diffusion Model for High-Fidelity Infrared and Visible Image Fusion

Xiaoyang Zhang, jinjiang Li, Guodong Fan +4

Infrared and visible image fusion (IVIF) is essential for integrating thermal saliency with textural details to support downstream perception. However, most existing approaches suf…

cs.CV2022★ 12 cited

Efficient approach of using CNN based pretrained model in Bangla handwritten digit recognition

Muntarin Islam, Shabbir Ahmed Shuvo, Musarrat Saberin Nipun +5

Due to digitalization in everyday life, the need for automatically recognizing handwritten digits is increasing. Handwritten digit recognition is essential for numerous application…

cs.CV2021★ 38 cited

Incorporating Lambertian Priors into Surface Normals Measurement

Yakun Ju, Muwei Jian, Shaoxiang Guo +3

The goal of photometric stereo is to measure the precise surface normal of a 3D object from observations with various shading cues. However, non-Lambertian surfaces influence the m…

cs.CV2020★ 12 cited

Developing Univariate Neurodegeneration Biomarkers with Low-Rank and Sparse Subspace Decomposition

Gang Wang, Qunxi Dong, Jianfeng Wu +11

Cognitive decline due to Alzheimer's disease (AD) is closely associated with brain structure alterations captured by structural magnetic resonance imaging (sMRI). It supports the v…

cs.CV2016

Comprehensive Feature-based Robust Video Fingerprinting Using Tensor Model

Xiushan Nie, Yilong Yin, Jiande Sun

Content-based near-duplicate video detection (NDVD) is essential for effective search and retrieval, and robust video fingerprinting is a good solution for NDVD. Most existing vide…

cs.CV2015★ 5 cited

Image tag completion by local learning

Jingyan Wang, Yihua Zhou, Haoxiang Wang +3

The problem of tag completion is to learn the missing tags of an image. In this paper, we propose to learn a tag scoring vector for each image by local linear learning. A local lin…