works on

From the 1 of 10 linked papers with an AI index.

collaborators

10 papers

cs.CV2026

Spline-Based Boundary Representations for Sparse View Reconstruction and Simulation Using Isogeometric Analysis

Davor Dobrota, Vsevolod Skorokhodov, Chenghao Xu +2

The paper introduces FORGE-SIM, a method that reconstructs smooth, watertight multi‑patch B‑spline models directly from sparse RGB images and projects observation data onto them fo…

cs.CV2026

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…

cs.CV2026

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…

cs.CV2026

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…

cs.CV2026

Dense Dynamic Scene Reconstruction and Camera Pose Estimation from Multi-View Videos

Shuo Sun, Unal Artan, Malcolm Mielle +2

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…

cs.LG2025

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,…