3 papers
cs.CV2024★ 4 cited
An evaluation of Deep Learning based stereo dense matching dataset shift from aerial images and a large scale stereo dataset
Teng Wu, Bruno Vallet, Marc Pierrot-Deseilligny +1
Dense matching is crucial for 3D scene reconstruction since it enables the recovery of scene 3D geometry from image acquisition. Deep Learning (DL)-based methods have shown effecti…
stat.ME2023
Change-point Inference for High-dimensional Heteroscedastic Data
Teng Wu, Stanislav Volgushev, Xiaofeng Shao
We propose a bootstrap-based test to detect a mean shift in a sequence of high-dimensional observations with unknown time-varying heteroscedasticity. The proposed test builds on th…
cs.CV2023
Mobile Mapping Mesh Change Detection and Update
Teng Wu, Bruno Vallet, Cédric Demonceaux
Mobile mapping, in particular, Mobile Lidar Scanning (MLS) is increasingly widespread to monitor and map urban scenes at city scale with unprecedented resolution and accuracy. The…