◍wovepaper
SearchResearchersInstitutions
Sign in
researcher

Jonáš Kulhánek

12 papers hereh-index 11671 citations16 works total

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

author position
  • first author6
  • middle author5
  • last author1

Across the 12 of 12 papers where every author was matched, so the position is known.

fields
  • cs.CV9
  • cs.RO2
  • cs.LG1
same name
  • Jonáš Kulhánek — 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
20192026
most citedVision-based Navigation Using Deep Reinforcement Learning

68 citations · 89 across the 8 of their papers we have counts for

collaborators
Showing 2025Show all

3 papers · 1 filter

cs.CV2025

Viser: Imperative, Web-based 3D Visualization in Python

Brent Yi, Chung Min Kim, Justin Kerr +8

We present Viser, a 3D visualization library for computer vision and robotics. Viser aims to bring easy and extensible 3D visualization to Python: we provide a comprehensive set of…

cs.CV2025

CL-Splats: Continual Learning of Gaussian Splatting with Local Optimization

Jan Ackermann, Jonas Kulhanek, Shengqu Cai +5

In dynamic 3D environments, accurately updating scene representations over time is crucial for applications in robotics, mixed reality, and embodied AI. As scenes evolve, efficient…

cs.CV2025

LODGE: Level-of-Detail Large-Scale Gaussian Splatting with Efficient Rendering

Jonas Kulhanek, Marie-Julie Rakotosaona, Fabian Manhardt +5

In this work, we present a novel level-of-detail (LOD) method for 3D Gaussian Splatting that enables real-time rendering of large-scale scenes on memory-constrained devices. Our ap…

◍wovepaper

Papers, researchers and institutions, woven together.

Explore
  • Search
  • Researchers
  • Institutions
Account
  • Library
  • Chat
Data
  • arXiv.org
  • Semantic Scholar
  • OpenAlex
  • Latest RSS
AboutContactPrivacyDevelopersllms.txtopenapi.json
Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.