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Zachary Bessinger

2 accepted papers

2022

LASER: LAtent SpacE Rendering for 2D Visual Localization

CVPR 2022oral

We present LASER, an image-based Monte Carlo Localization (MCL) framework for 2D floor maps. LASER introduces the concept of latent space rendering, where 2D pose hypotheses on the floor map are directly rendered into a geometrically-structured latent space by aggregating viewing ray features. Throu…

Cited by 21PDFcodeScholar
2017

Predicting Ground-Level Scene Layout From Aerial Imagery

CVPR 2017poster

We introduce a novel strategy for learning to extract semantically meaningful features from aerial imagery. Instead of manually labeling the aerial imagery, we propose to predict (noisy) semantic features automatically extracted from co-located ground imagery. Our network architecture takes an aeria…

Cited by 282PDFcodeScholar