4 citations · 11 across the 19 of their papers we have counts for
13 papers · 1 filter
DisPlace: Discriminative Place Projections for Multi-Reference Visual Place Recognition
Dhyey Manish Rajani, Michael Milford, Tobias Fischer
A key challenge in Visual Place Recognition (VPR) is matching query images against reference maps captured under diverse environmental conditions and viewpoints. While multiple ref…
EventGeM: Global-to-Local Feature Matching for Event-Based Visual Place Recognition
Adam D. Hines, Gokul B. Nair, Nicolás Marticorena +2
Dynamic vision sensors, also known as event cameras, are rapidly rising in popularity for robotic and computer vision tasks due to their sparse activation and high-temporal resolut…
Automatic Map Density Selection for Locally-Performant Visual Place Recognition
Somayeh Hussaini, Tobias Fischer, Michael Milford
A key challenge in translating Visual Place Recognition (VPR) from the lab to long-term deployment is ensuring a priori that a system can meet user-specified performance requiremen…
Robust Scene Coordinate Regression via Geometrically-Consistent Global Descriptors
Son Tung Nguyen, Alejandro Fontan, Michael Milford +1
Recent learning-based visual localization methods use global descriptors to disambiguate visually similar places, but existing approaches often derive these descriptors from geomet…
Ensemble-Based Event Camera Place Recognition Under Varying Illumination
Therese Joseph, Tobias Fischer, Michael Milford
Compared to conventional cameras, event cameras provide a high dynamic range and low latency, offering greater robustness to rapid motion and challenging lighting conditions. Altho…
VSLAM-LAB: A Comprehensive Framework for Visual SLAM Methods and Datasets
Alejandro Fontan, Tobias Fischer, Javier Civera +1
Visual Simultaneous Localization and Mapping (VSLAM) research faces significant challenges due to fragmented toolchains, complex system configurations, and inconsistent evaluation…