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05/09/2023
Patch-DrosoNet: Classifying Image Partitions With Fly-Inspired Models For Lightweight Visual Place Recognition
Visual place recognition (VPR) enables autonomous systems to localize th...
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03/24/2023
A-MuSIC: An Adaptive Ensemble System For Visual Place Recognition In Changing Environments
Visual place recognition (VPR) is an essential component of robot naviga...
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10/03/2022
Merging Classification Predictions with Sequential Information for Lightweight Visual Place Recognition in Changing Environments
Low-overhead visual place recognition (VPR) is a highly active research ...
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02/24/2022
Highly-Efficient Binary Neural Networks for Visual Place Recognition
VPR is a fundamental task for autonomous navigation as it enables a robo...
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09/22/2021
An Efficient and Scalable Collection of Fly-inspired Voting Units for Visual Place Recognition in Changing Environments
State-of-the-art visual place recognition performance is currently being...
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02/25/2021
Scene Retrieval for Contextual Visual Mapping
Visual navigation localizes a query place image against a reference data...
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02/16/2021
Improving Visual Place Recognition Performance by Maximising Complementarity
Visual place recognition (VPR) is the problem of recognising a previousl...
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10/01/2020
Binary Neural Networks for Memory-Efficient and Effective Visual Place Recognition in Changing Environments
Visual place recognition (VPR) is a robot's ability to determine whether...
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08/01/2019
Visual Place Recognition for Aerial Robotics: Exploring Accuracy-Computation Trade-off for Local Image Descriptors
Visual Place Recognition (VPR) is a fundamental yet challenging task for...
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04/09/2019
Assessing Capsule Networks With Biased Data
Machine learning based methods achieves impressive results in object cla...
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02/15/2019
TMAV: Temporal Motionless Analysis of Video using CNN in MPSoC
Analyzing video for traffic categorization is an important pillar of Int...
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02/11/2019
GET-AID: Visual Recognition of Human Rights Abuses via Global Emotional Traits
In the era of social media and big data, the use of visual evidence to d...
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11/09/2017
Material Classification in the Wild: Do Synthesized Training Data Generalise Better than Real-World Training Data?
We question the dominant role of real-world training images in the field...
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09/24/2017
Performance Characterization of Image Feature Detectors in Relation to the Scene Content Utilizing a Large Image Database
Selecting the most suitable local invariant feature detector for a parti...
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03/30/2017
A Paradigm Shift: Detecting Human Rights Violations Through Web Images
The growing presence of devices carrying digital cameras, such as mobile...
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03/12/2017
Detection of Human Rights Violations in Images: Can Convolutional Neural Networks help?
After setting the performance benchmarks for image, video, speech and au...
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03/12/2017
Evaluating Deep Convolutional Neural Networks for Material Classification
Determining the material category of a surface from an image is a demand...
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05/19/2016
Automatic Selection of the Optimal Local Feature Detector
A large number of different feature detectors has been proposed so far. ...
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10/17/2015
Assessing The Performance Bounds Of Local Feature Detectors: Taking Inspiration From Electronics Design Practices
Since local feature detection has been one of the most active research a...
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10/17/2015
Rapid Online Analysis of Local Feature Detectors and Their Complementarity
A vision system that can assess its own performance and take appropriate...
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10/17/2015
Memory-Efficient Design Strategy for a Parallel Embedded Integral Image Computation Engine
In embedded vision systems, parallel computation of the integral image p...
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10/17/2015
Integral Images: Efficient Algorithms for Their Computation and Storage in Resource-Constrained Embedded Vision Systems
The integral image, an intermediate image representation, has found exte...
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04/29/2015
Improved repeatability measures for evaluating performance of feature detectors
The most frequently employed measure for performance characterisation of...
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04/29/2015
Hardware based Scale- and Rotation-Invariant Feature Extraction: A Retrospective Analysis and Future Directions
Computer Vision techniques represent a class of algorithms that are high...
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04/29/2015
Exploring Integral Image Word Length Reduction Techniques for SURF Detector
Speeded Up Robust Features (SURF) is a state of the art computer vision ...
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04/27/2015
