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researcher

Alper Yilmaz

Ohio State University

7 papers hereh-index 294.6k citations123 works total

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

author position
  • middle author2
  • last author4

Across the 6 of 7 papers where every author was matched, so the position is known.

fields
  • cs.CV4
  • cs.LG1
  • cs.RO1
  • eess.IV1
affiliations
  • Ohio State University
Homepage
same name
  • Alper Yilmaz — 7 papers, h 3
  • Alper Yilmaz — 6 papers, h 2
  • Alper Yilmaz — 5 papers, h 3
  • Alper Yilmaz — 2 papers, h 2
  • Alper Yilmaz — 2 papers, h 4
  • Alper Yilmaz — 1 paper, h 2

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
20172023
most citedGeometric Wide-Angle Camera Calibration: A Review and Comparative Study

17 citations · 17 across the 5 of their papers we have counts for

collaborators
Showing cs.CVShow all

4 papers · 1 filter

cs.CV2022

Learning to Drive Using Sparse Imitation Reinforcement Learning

Yuci Han, Alper Yilmaz

In this paper, we propose Sparse Imitation Reinforcement Learning (SIRL), a hybrid end-to-end control policy that combines the sparse expert driving knowledge with reinforcement le…

cs.CV2021

DeepTracks: Geopositioning Maritime Vehicles in Video Acquired from a Moving Platform

Jianli Wei, Guanyu Xu, Alper Yilmaz

Geopositioning and tracking a moving boat at sea is a very challenging problem, requiring boat detection, matching and estimating its GPS location from imagery with no common featu…

cs.CV2018

UAVid: A Semantic Segmentation Dataset for UAV Imagery

Ye Lyu, George Vosselman, Guisong Xia +2

Semantic segmentation has been one of the leading research interests in computer vision recently. It serves as a perception foundation for many fields, such as robotics and autonom…

cs.CV2017

4d isip: 4d implicit surface interest point detection

Shirui Li, Alper Yilmaz, Changlin Xiao +1

In this paper, we propose a new method to detect 4D spatiotemporal interest points though an implicit surface, we refer to as the 4D-ISIP. We use a 3D volume which has a truncated…

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