Search Results for author:
Found 12 papers, 3 papers with code
AIR-HLoc: Adaptive Image Retrieval for Efficient Visual Localisation
State-of-the-art (SOTA) hierarchical localisation pipelines (HLoc) rely on image retrieval (IR) techniques to establish 2D-3D correspondences by selecting the $k$ most similar images from a reference image database for a given query image.
HR-APR: APR-agnostic Framework with Uncertainty Estimation and Hierarchical Refinement for Camera Relocalisation
In addition, we take advantage of the uncertainty for pose refinement to enhance the performance of APR.
MobileARLoc: On-device Robust Absolute Localisation for Pervasive Markerless Mobile AR
To address APR accuracy and reduce VIO drift, MobileARLoc creates a feedback loop where VIO pose estimations refine the APR predictions.
360Loc: A Dataset and Benchmark for Omnidirectional Visual Localization with Cross-device Queries
We propose a virtual camera approach to generate lower-FoV query frames from 360$^\circ$ images, which ensures a fair comparison of performance among different query types in visual localization tasks.
VR PreM+ : An Immersive Pre-learning Branching Visualization System for Museum Tours
We present VR PreM+, an innovative VR system designed to enhance web exploration beyond traditional computer screens.
AI Nushu: An Exploration of Language Emergence in Sisterhood -Through the Lens of Computational Linguistics
This paper presents "AI Nushu," an emerging language system inspired by Nushu (women's scripts), the unique language created and used exclusively by ancient Chinese women who were thought to be illiterate under a patriarchal society.
KS-APR: Keyframe Selection for Robust Absolute Pose Regression
However, APR methods tend to yield significant inaccuracies for input images that are too distant from the training set.
Robust Localization with Visual-Inertial Odometry Constraints for Markerless Mobile AR
However, VIO only tracks the relative pose of the device, leading to drift over time.
Twitter Dataset for 2022 Russo-Ukrainian Crisis
Such information sharing campaigns can range from spreading factual information to propaganda and misinformation.
DRLE: Decentralized Reinforcement Learning at the Edge for Traffic Light Control in the IoV
To this end, we propose a Decentralized Reinforcement Learning at the Edge for traffic light control in the IoV (DRLE).
Multipath Computation Offloading for Mobile Augmented Reality
With only 70% WiFi availability, our system keeps the excess latency below 9 ms. We finally evaluate the capabilities of the upcoming 5G and 802. 11ax
Marketplace for AI Models
Artificial intelligence shows promise for solving many practical societal problems in areas such as healthcare and transportation.
