5 papers
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…