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Ioannis Gkioulekas

4 papers here

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

author position
  • middle author3
  • last author1

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

fields
  • cs.GR3
  • cs.CV1
ORCID 0000-0001-6932-4642
same name
  • Ioannis Gkioulekas — 5 papers, h 26
  • Ioannis Gkioulekas — 3 papers, h 3
  • Ioannis Gkioulekas — 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

most citedWalk on Stars: A Grid-Free Monte Carlo Method for PDEs with Neumann Boundary Conditions

47 citations · 87 across the 4 of their papers we have counts for

collaborators

4 papers

cs.GR2023★ 6 cited

Doppler Time-of-Flight Rendering

Juhyeon Kim, Wojciech Jarosz, Ioannis Gkioulekas +1

We introduce Doppler time-of-flight (D-ToF) rendering, an extension of ToF rendering for dynamic scenes, with applications in simulating D-ToF cameras. D-ToF cameras use high-frequ…

cs.CV2023

NOVA: NOvel View Augmentation for Neural Composition of Dynamic Objects

Dakshit Agrawal, Jiajie Xu, Siva Karthik Mustikovela +3

We propose a novel-view augmentation (NOVA) strategy to train NeRFs for photo-realistic 3D composition of dynamic objects in a static scene. Compared to prior work, our framework s…

cs.GR2023★ 34 cited

Boundary Value Caching for Walk on Spheres

Bailey Miller, Rohan Sawhney, Keenan Crane +1

Grid-free Monte Carlo methods such as walk on spheres can be used to solve elliptic partial differential equations without mesh generation or global solves. However, such methods i…

cs.GR2023★ 47 cited

Walk on Stars: A Grid-Free Monte Carlo Method for PDEs with Neumann Boundary Conditions

Rohan Sawhney, Bailey Miller, Ioannis Gkioulekas +1

Grid-free Monte Carlo methods based on the walk on spheres (WoS) algorithm solve fundamental partial differential equations (PDEs) like the Poisson equation without discretizing th…

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