30 citations · 49 across the 16 of their papers we have counts for
16 papers
Spline-Based Boundary Representations for Sparse View Reconstruction and Simulation Using Isogeometric Analysis
Davor Dobrota, Vsevolod Skorokhodov, Chenghao Xu +2
Image-based reconstruction aims to recover three-dimensional geometry from images. Recent advances have enabled the recovery of visually detailed models, yet their representations…
Beyond Thermal Imaging: Inferring Thermophysical Properties from Time-Resolved Thermal Observations
Chenghao Xu, Malcolm Mielle, Olga Fink
Inferring latent physical properties from sensory observations is a fundamental challenge in machine perception. Among available sensing modalities, thermal imaging is particularly…
Unpaired RGB-Thermal Gaussian-Splatting Using Visual Geometric Transformers
Jean Cordonnier, Chenghao Xu, Olga Fink +1
Multi-modal novel view synthesis (NVS) combining RGB and thermal imagery enables precise 3D scene reconstruction with visual and thermal information. However, existing methods typi…
Dense Dynamic Scene Reconstruction and Camera Pose Estimation from Multi-View Videos
Shuo Sun, Unal Artan, Malcolm Mielle +3
We address the challenging problem of dense dynamic scene reconstruction and camera pose estimation from multiple freely moving cameras -- a setting that arises naturally when mult…
SEAR: Simple and Efficient Adaptation of Visual Geometric Transformers for Unpaired RGB+Thermal 3D Reconstruction
Vsevolod Skorokhodov, Chenghao Xu, Shuo Sun +2
Foundational feed-forward visual geometry models enable accurate and efficient camera pose estimation and scene reconstruction by learning strong scene priors from massive RGB data…
Physics-Informed Neural Networks for Thermophysical Property Retrieval
Ali Waseem, Malcolm Mielle
Inverse heat problems refer to the estimation of material thermophysical properties given observed or known heat diffusion behaviour. Inverse heat problems have wide-ranging uses,…
D-CAT: Decoupled Cross-Attention Transfer between Sensor Modalities for Unimodal Inference
Leen Daher, Zhaobo Wang, Malcolm Mielle
Cross-modal transfer learning is used to improve multi-modal classification models (e.g., for human activity recognition in human-robot collaboration). However, existing methods re…
Large-scale visual SLAM for in-the-wild videos
Shuo Sun, Torsten Sattler, Malcolm Mielle +2
Accurate and robust 3D scene reconstruction from casual, in-the-wild videos can significantly simplify robot deployment to new environments. However, reliable camera pose estimatio…
Thermoxels: a voxel-based method to generate simulation-ready 3D thermal models
Etienne Chassaing, Florent Forest, Olga Fink +1
In the European Union, buildings account for 42% of energy use and 35% of greenhouse gas emissions. Since most existing buildings will still be in use by 2050, retrofitting is cruc…
UAC: Uncertainty-Aware Calibration of Neural Networks for Gesture Detection
Farida Al Haddad, Yuxin Wang, Malcolm Mielle
Artificial intelligence has the potential to impact safety and efficiency in safety-critical domains such as construction, manufacturing, and healthcare. For example, using sensor…
Exploiting Semantic Scene Reconstruction for Estimating Building Envelope Characteristics
Chenghao Xu, Malcolm Mielle, Antoine Laborde +3
Achieving the EU's climate neutrality goal requires retrofitting existing buildings to reduce energy use and emissions. A critical step in this process is the precise assessment of…
High-Fidelity SLAM Using Gaussian Splatting with Rendering-Guided Densification and Regularized Optimization
Shuo Sun, Malcolm Mielle, Achim J. Lilienthal +1
We propose a dense RGBD SLAM system based on 3D Gaussian Splatting that provides metrically accurate pose tracking and visually realistic reconstruction. To this end, we first prop…
3QFP: Efficient neural implicit surface reconstruction using Tri-Quadtrees and Fourier feature Positional encoding
Shuo Sun, Malcolm Mielle, Achim J. Lilienthal +1
Neural implicit surface representations are currently receiving a lot of interest as a means to achieve high-fidelity surface reconstruction at a low memory cost, compared to tradi…
TEAM: a parameter-free algorithm to teach collaborative robots motions from user demonstrations
Lorenzo Panchetti, Jianhao Zheng, Mohamed Bouri +1
Learning from demonstrations (LfD) enables humans to easily teach collaborative robots (cobots) new motions that can be generalized to new task configurations without retraining. H…
A method to segment maps from different modalities using free space layout -- MAORIS : MAp Of RIpples Segmentation
Malcolm Mielle, Martin Magnusson, Achim J. Lilienthal
How to divide floor plans or navigation maps into semantic representations, such as rooms and corridors, is an important research question in fields such as human-robot interaction…
SLAM auto-complete: completing a robot map using an emergency map
Malcolm Mielle, Martin Magnusson, Henrik Andreasson +1
In search and rescue missions, time is an important factor; fast navigation and quickly acquiring situation awareness might be matters of life and death. Hence, the use of robots i…