Vicente Vivanco Cepeda — accepted AI-conference papers

2023

GeoCLIP: Clip-Inspired Alignment between Locations and Images for Effective Worldwide Geo-localization

Vicente Vivanco Cepeda, Gaurav Kumar Nayak, Mubarak Shah

NeurIPS 2023poster

Worldwide Geo-localization aims to pinpoint the precise location of images taken anywhere on Earth. This task has considerable challenges due to the immense variation in geographic landscapes. The image-to-image retrieval-based approaches fail to solve this problem on a global scale as it is not fea…

Cited by 92 Source ↗PDF ↗code ↗Scholar ↗

2023

Where We Are and What We're Looking At: Query Based Worldwide Image Geo-Localization Using Hierarchies and Scenes

Brandon Clark, Alec Kerrigan, Parth Parag Kulkarni, Vicente Vivanco Cepeda, Mubarak Shah

CVPR 2023poster

Determining the exact latitude and longitude that a photo was taken is a useful and widely applicable task, yet it remains exceptionally difficult despite the accelerated progress of other computer vision tasks. Most previous approaches have opted to learn single representations of query images, whi…

Cited by 27 Source ↗PDF ↗code ↗Scholar ↗