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M. Salman Asif

University of California Riverside

42 papers hereh-index 292.7k citations100 works total

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

author position
  • sole author1
  • first author7
  • middle author17
  • last author16

Across the 41 of 42 papers where every author was matched, so the position is known.

fields
  • cs.CV23
  • eess.IV10
  • cs.IT4
  • cs.LG3
  • physics.plasm-ph1
  • stat.CO1
affiliations
  • University of California Riverside
Homepage
same name
  • M. Salman Asif — 1 paper

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
20092026
most citedDynamic Updating for L1 Minimization

113 citations · 463 across the 36 of their papers we have counts for

collaborators
Showing 2019Show all

4 papers · 1 filter

eess.IV2019

Joint Image and Depth Estimation with Mask-Based Lensless Cameras

Yucheng Zheng, M. Salman Asif

Mask-based lensless cameras replace the lens of a conventional camera with a custom mask. These cameras can potentially be very thin and even flexible. Recently, it has been demons…

eess.IV2019★ 1 cited

A Dual Camera System for High Spatiotemporal Resolution Video Acquisition

Ming Cheng, Zhan Ma, M. Salman Asif +4

This paper presents a dual camera system for high spatiotemporal resolution (HSTR) video acquisition, where one camera shoots a video with high spatial resolution and low frame rat…

cs.CV2019★ 2 cited

Alternating Phase Projected Gradient Descent with Generative Priors for Solving Compressive Phase Retrieval

Rakib Hyder, Viraj Shah, Chinmay Hegde +1

The classical problem of phase retrieval arises in various signal acquisition systems. Due to the ill-posed nature of the problem, the solution requires assumptions on the structur…

cs.CV2019★ 41 cited

Generative Models for Low-Rank Video Representation and Reconstruction

Rakib Hyder, M. Salman Asif

Finding compact representation of videos is an essential component in almost every problem related to video processing or understanding. In this paper, we propose a generative mode…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.