activity
20182026
most citedArea Graph: Generation of Topological Maps using the Voronoi Diagram

3 citations · 8 across the 16 of their papers we have counts for

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7 papers · 1 filter

cs.CV2026

SLAMFormer-: Infinite SLAM Transformer for Unbounded Frontend and Backend Processing

Zhijian Fang, Weicheng Zheng, Yijun Yuan +7

We introduce the Infinite SLAM Transformer (SLAMFormer-), the first geometric transformer capable of supporting both long-range frontend and backend processing without an e…

cs.CV2026

Complet4R: Geometric Complete 4D Reconstruction

Weibang Wang, Kenan Li, Zhuoguang Chen +2

We introduce Complet4R, a novel end-to-end framework for Geometric Complete 4D Reconstruction, which aims to recover temporally coherent and geometrically complete reconstruction f…

cs.CV2025

SLAM-Former: Putting SLAM into One Transformer

Yijun Yuan, Zhuoguang Chen, Kenan Li +5

We present SLAM-Former, a neural approach that integrates full SLAM capabilities into a single transformer. Similar to traditional SLAM systems, SLAM-Former comprises both a fronte…

cs.CV2024★ 1 cited

SceneFactory: A Workflow-centric and Unified Framework for Incremental Scene Modeling

Yijun Yuan, Michael Bleier, Andreas Nüchter

We present SceneFactory, a workflow-centric and unified framework for incremental scene modeling, that conveniently supports a wide range of applications, such as (unposed and/or u…

cs.CV2023

NSLF-OL: Online Learning of Neural Surface Light Fields alongside Real-time Incremental 3D Reconstruction

Yijun Yuan, Andreas Nuchter

Immersive novel view generation is an important technology in the field of graphics and has recently also received attention for operator-based human-robot interaction. However, th…

cs.CV2023

Uni-Fusion: Universal Continuous Mapping

Yijun Yuan, Andreas Nuechter

We present Uni-Fusion, a universal continuous mapping framework for surfaces, surface properties (color, infrared, etc.) and more (latent features in CLIP embedding space, etc.). W…

cs.CV2022

An Algorithm for the SE(3)-Transformation on Neural Implicit Maps for Remapping Functions

Yijun Yuan, Andreas Nuechter

Implicit representations are widely used for object reconstruction due to their efficiency and flexibility. In 2021, a novel structure named neural implicit map has been invented f…