3 papers indexed
Shaurya Kishore Panwar, Roham Zendehdel Nobari, Shirley Feng Yi Lau, Abu Bakr Rahman Shaik, Manuel Günther, Marc Pollefeys, et al.
We tackle fine-grained indoor localization from natural language: given a free-form description of one's surroundings, estimate the observer's 2D position and heading within a known 3D environment. Language queries are lightweight, privacy-preserving, and need no camera - yet pri…
Lorenzo Lazzaroni, Riccardo Bollati, Daniel Barath, Michael Niemeyer, Keisuke Tateno
Generating high-quality novel views at real-time frame rates remains a central challenge in 3D vision, particularly in sparse-view scenarios. Neural radiance fields have demonstrated robust reconstruction from limited observations, but their reliance on volumetric rendering leads…
Rolling shutter (RS) cameras equip virtually all consumer devices, yet RS-aware relative pose estimation has remained impractical: the state-of-the-art solver requires a minimum of 20 point correspondences, making RANSAC-based robust estimation prohibitively expensive due to the…