5 citations · 8 across the 4 of their papers we have counts for
8 papers
LaMAR: Benchmarking Localization and Mapping for Augmented Reality
Paul-Edouard Sarlin, Mihai Dusmanu, Johannes L. Schönberger +5
Localization and mapping is the foundational technology for augmented reality (AR) that enables sharing and persistence of digital content in the real world. While significant prog…
Learning to Simulate Realistic LiDARs
Benoit Guillard, Sai Vemprala, Jayesh K. Gupta +4
Simulating realistic sensors is a challenging part in data generation for autonomous systems, often involving carefully handcrafted sensor design, scene properties, and physics mod…
Cross-Descriptor Visual Localization and Mapping
Mihai Dusmanu, Ondrej Miksik, Johannes L. Schönberger +1
Visual localization and mapping is the key technology underlying the majority of mixed reality and robotics systems. Most state-of-the-art approaches rely on local features to esta…
Building Proactive Voice Assistants: When and How (not) to Interact
O. Miksik, I. Munasinghe, J. Asensio-Cubero +17
Voice assistants have recently achieved remarkable commercial success. However, the current generation of these devices is typically capable of only reactive interactions. In other…
Live Reconstruction of Large-Scale Dynamic Outdoor Worlds
Ondrej Miksik, Vibhav Vineet
Standard 3D reconstruction pipelines assume stationary world, therefore suffer from `ghost artifacts' whenever dynamic objects are present in the scene. Recent approaches has start…
Static Visual Spatial Priors for DoA Estimation
Pawel Swietojanski, Ondrej Miksik
As we interact with the world, for example when we communicate with our colleagues in a large open space or meeting room, we continuously analyse the surrounding environment and, i…