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researcher

Osman Akar

University of California, Los Angeles

4 papers hereh-index 334 citations9 works total

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

author position
  • first author1
  • middle author3

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • cs.CV2
  • cs.LG1
  • eess.IV1
affiliations
  • University of California, Los Angeles
Homepage

identity via Semantic Scholar / OpenAlex

activity
20192024
most citedA Deep Conjugate Direction Method for Iteratively Solving Linear Systems

3 citations · 5 across the 4 of their papers we have counts for

collaborators

4 papers

cs.CV2024

Shallow Signed Distance Functions for Kinematic Collision Bodies

Osman Akar, Yushan Han, Yizhou Chen +4

We present learning-based implicit shape representations designed for real-time avatar collision queries arising in the simulation of clothing. Signed distance functions (SDFs) hav…

cs.LG2022★ 3 cited

A Deep Conjugate Direction Method for Iteratively Solving Linear Systems

Ayano Kaneda, Osman Akar, Jingyu Chen +3

We present a novel deep learning approach to approximate the solution of large, sparse, symmetric, positive-definite linear systems of equations. These systems arise from many prob…

cs.CV2019

Markerless Augmented Advertising for Sports Videos

Hallee E. Wong, Osman Akar, Emmanuel Antonio Cuevas +4

Markerless augmented reality can be a challenging computer vision task, especially in live broadcast settings and in the absence of information related to the video capture such as…

eess.IV2019★ 2 cited

Semi-Supervised First-Person Activity Recognition in Body-Worn Video

Honglin Chen, Hao Li, Alexander Song +6

Body-worn cameras are now commonly used for logging daily life, sports, and law enforcement activities, creating a large volume of archived footage. This paper studies the problem…

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