Search Results for author: Oliver Lange

Found 3 papers, 0 papers with code

Multi-view Monocular Depth and Uncertainty Prediction with Deep SfM in Dynamic Environments

no code implementations21 Jan 2022 Christian Homeyer, Oliver Lange, Christoph Schnörr

3D reconstruction of depth and motion from monocular video in dynamic environments is a highly ill-posed problem due to scale ambiguities when projecting to the 2D image domain.

3D Reconstruction

ETA Prediction with Graph Neural Networks in Google Maps

no code implementations25 Aug 2021 Austin Derrow-Pinion, Jennifer She, David Wong, Oliver Lange, Todd Hester, Luis Perez, Marc Nunkesser, Seongjae Lee, Xueying Guo, Brett Wiltshire, Peter W. Battaglia, Vishal Gupta, Ang Li, Zhongwen Xu, Alvaro Sanchez-Gonzalez, Yujia Li, Petar Veličković

Travel-time prediction constitutes a task of high importance in transportation networks, with web mapping services like Google Maps regularly serving vast quantities of travel time queries from users and enterprises alike.

Graph Representation Learning

CEREALS - Cost-Effective REgion-based Active Learning for Semantic Segmentation

no code implementations23 Oct 2018 Radek Mackowiak, Philip Lenz, Omair Ghori, Ferran Diego, Oliver Lange, Carsten Rother

State of the art methods for semantic image segmentation are trained in a supervised fashion using a large corpus of fully labeled training images.

Active Learning Image Segmentation +2

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