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Vinay Kumar

Thapar Institute of Engineering and Technology, Thapar University, Jaypee University of Information Technology, Universidad Carlos 3 de Madrid

3 papers hereh-index 12813 citations45 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author1
  • middle author1
  • last author1

Across the 3 of 3 papers where every author was matched, so the position is known.

fields
  • cs.CV2
  • cs.MM1
affiliations
  • Thapar Institute of Engineering and Technology, Thapar University, Jaypee University of Information Technology, Universidad Carlos 3 de Madrid
same name
  • Vinay Kumar — 7 papers, h 4
  • Vinay Kumar — 4 papers, h 2
  • Vinay Kumar — 3 papers, h 1
  • Vinay Kumar — 2 papers, h 19
  • Vinay Kumar — 2 papers, h 6
  • Vinay Kumar — 2 papers, h 3

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20132022
most citedAnisotropic Diffusion for Details Enhancement in Multi-Exposure Image Fusion

16 citations · 19 across the 3 of their papers we have counts for

collaborators

3 papers

cs.CV2022★ 1 cited

Variational Approach for Intensity Domain Multi-exposure Image Fusion

Harbinder Singh, Dinesh Arora, Vinay Kumar

Recent innovations shows that blending of details captured by single Low Dynamic Range (LDR) sensor overcomes the limitations of standard digital cameras to capture details from hi…

cs.CV2019★ 2 cited

No reference image quality assessment metric based on regional mutual information among images

Vinay Kumar, Vivek Singh Bawa, Rahul Upadhyay

With the inclusion of camera in daily life, an automatic no reference image quality evaluation index is required for automatic classification of images. The present manuscripts pro…

cs.MM2013★ 16 cited

Anisotropic Diffusion for Details Enhancement in Multi-Exposure Image Fusion

Harbinder Singh, Vinay Kumar, Sunil Bhooshan

We develop a multiexposure image fusion method based on texture features, which exploits the edge preserving and intraregion smoothing property of nonlinear diffusion filters based…

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