activity
20192022
most citedUnderstanding the Limitations of CNN-based Absolute Camera Pose Regression

21 citations · 30 across the 4 of their papers we have counts for

collaborators

5 papers

cs.CV20221 cited

Text2Pos: Text-to-Point-Cloud Cross-Modal Localization

Manuel Kolmet, Qunjie Zhou, Aljosa Osep +1

Natural language-based communication with mobile devices and home appliances is becoming increasingly popular and has the potential to become natural for communicating with mobile…

cs.CV20211 cited

Coming Down to Earth: Satellite-to-Street View Synthesis for Geo-Localization

Aysim Toker, Qunjie Zhou, Maxim Maximov +1

The goal of cross-view image based geo-localization is to determine the location of a given street view image by matching it against a collection of geo-tagged satellite images. Th…

cs.CV20207 cited

Patch2Pix: Epipolar-Guided Pixel-Level Correspondences

Qunjie Zhou, Torsten Sattler, Laura Leal-Taixe

The classical matching pipeline used for visual localization typically involves three steps: (i) local feature detection and description, (ii) feature matching, and (iii) outlier r…

cs.CV2019

To Learn or Not to Learn: Visual Localization from Essential Matrices

Qunjie Zhou, Torsten Sattler, Marc Pollefeys +1

Visual localization is the problem of estimating a camera within a scene and a key component in computer vision applications such as self-driving cars and Mixed Reality. State-of-t…

cs.CV201921 cited

Understanding the Limitations of CNN-based Absolute Camera Pose Regression

Torsten Sattler, Qunjie Zhou, Marc Pollefeys +1

Visual localization is the task of accurate camera pose estimation in a known scene. It is a key problem in computer vision and robotics, with applications including self-driving c…