activity
20232026
most citedOnline Tree Reconstruction and Forest Inventory on a Mobile Robotic System

19 citations · 20 across the 14 of their papers we have counts for

collaborators
Showing cs.CVShow all

7 papers · 1 filter

cs.CV2026

Large-Scale High-Quality 3D Gaussian Head Reconstruction from Multi-View Captures

Evangelos Ntavelis, Sean Wu, Mohamad Shahbazi +21

We propose HeadsUp, a scalable feed-forward method for reconstructing high-quality 3D Gaussian heads from large-scale multi-camera setups. Our method employs an efficient encoder-d…

cs.CV2025

GSFix3D: Diffusion-Guided Repair of Novel Views in Gaussian Splatting

Jiaxin Wei, Stefan Leutenegger, Simon Schaefer

Recent developments in 3D Gaussian Splatting have significantly enhanced novel view synthesis, yet generating high-quality renderings from extreme novel viewpoints or partially obs…

cs.CV2025

SuperEvent: Cross-Modal Learning of Event-based Keypoint Detection for SLAM

Yannick Burkhardt, Simon Schaefer, Stefan Leutenegger

Event-based keypoint detection and matching holds significant potential, enabling the integration of event sensors into highly optimized Visual SLAM systems developed for frame cam…

cs.CV2024

SC-Diff: 3D Shape Completion with Latent Diffusion Models

Simon Schaefer, Juan D. Galvis, Xingxing Zuo +1

We present a novel 3D shape completion framework that unifies multimodal conditioning, leveraging both 2D images and 3D partial scans through a latent diffusion model. Shapes are r…

cs.CV2024

DynamicGlue: Epipolar and Time-Informed Data Association in Dynamic Environments using Graph Neural Networks

Theresa Huber, Simon Schaefer, Stefan Leutenegger

The assumption of a static environment is common in many geometric computer vision tasks like SLAM but limits their applicability in highly dynamic scenes. Since these tasks rely o…

cs.CV2023

GloPro: Globally-Consistent Uncertainty-Aware 3D Human Pose Estimation & Tracking in the Wild

Simon Schaefer, Dorian F. Henning, Stefan Leutenegger

An accurate and uncertainty-aware 3D human body pose estimation is key to enabling truly safe but efficient human-robot interactions. Current uncertainty-aware methods in 3D human…

cs.CV2023

BodySLAM++: Fast and Tightly-Coupled Visual-Inertial Camera and Human Motion Tracking

Dorian F. Henning, Christopher Choi, Simon Schaefer +1

Robust, fast, and accurate human state - 6D pose and posture - estimation remains a challenging problem. For real-world applications, the ability to estimate the human state in rea…