2 citations · 2 across the 4 of their papers we have counts for
5 papers
Ground-to-Satellite Localization in Unconstrained Image Collections for 3D Scene Reconstruction
Angel Daruna, Ben Southall, Niluthpol Chowdhury Mithun +6
Ground image localization with respect to satellite imagery is a key enabler for metrically-accurate, geo-localized 3D scene reconstruction from unconstrained image collections. Ex…
GeoSURGE: Geo-localization using Semantic Fusion with Hierarchy of Geographic Embeddings
Angel Daruna, Nicholas Meegan, Han-Pang Chiu +2
Worldwide visual geo-localization aims to determine the geographic location of an image anywhere on Earth using only its visual content. Despite recent progress, learning expressiv…
Agtech Framework for Cranberry-Ripening Analysis Using Vision Foundation Models
Faith Johnson, Ryan Meegan, Jack Lowry +2
Agricultural domains are being transformed by recent advances in AI and computer vision that support quantitative visual evaluation. Using aerial and ground imaging over a time ser…
ViFiT: Reconstructing Vision Trajectories from IMU and Wi-Fi Fine Time Measurements
Bryan Bo Cao, Abrar Alali, Hansi Liu +5
Tracking subjects in videos is one of the most widely used functions in camera-based IoT applications such as security surveillance, smart city traffic safety enhancement, vehicle…
ViFiCon: Vision and Wireless Association Via Self-Supervised Contrastive Learning
Nicholas Meegan, Hansi Liu, Bryan Bo Cao +5
We introduce ViFiCon, a self-supervised contrastive scheme which learns a cross-modal association between vision and wireless modalities. Specifically, the system uses pedestrian d…