211 citations · 1.9k across the 104 of their papers we have counts for
13 papers · 1 filter
Memorable Maps: A Framework for Re-defining Places in Visual Place Recognition
Mubariz Zaffar, Shoaib Ehsan, Michael Milford +1
This paper presents a cognition-inspired agnostic framework for building a map for Visual Place Recognition. This framework draws inspiration from human-memorability, utilizes the…
A Holistic Visual Place Recognition Approach using Lightweight CNNs for Significant ViewPoint and Appearance Changes
Ahmad Khaliq, Shoaib Ehsan, Zetao Chen +2
This paper presents a lightweight visual place recognition approach, capable of achieving high performance with low computational cost, and feasible for mobile robotics under signi…
Feature Map Filtering: Improving Visual Place Recognition with Convolutional Calibration
Stephen Hausler, Adam Jacobson, Michael Milford
Convolutional Neural Networks (CNNs) have recently been shown to excel at performing visual place recognition under changing appearance and viewpoint. Previously, place recognition…
A Binary Optimization Approach for Constrained K-Means Clustering
Huu Le, Anders Eriksson, Thanh-Toan Do +1
K-Means clustering still plays an important role in many computer vision problems. While the conventional Lloyd method, which alternates between centroid update and cluster assignm…
Large scale visual place recognition with sub-linear storage growth
Huu Le, Michael Milford
Robotic and animal mapping systems share many of the same objectives and challenges, but differ in one key aspect: where much of the research in robotic mapping has focused on solv…
An Orientation Factor for Object-Oriented SLAM
Natalie Jablonsky, Michael Milford, Niko Sünderhauf
Current approaches to object-oriented SLAM lack the ability to incorporate prior knowledge of the scene geometry, such as the expected global orientation of objects. We overcome th…