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12/20/2022
Benchmarking person re-identification datasets and approaches for practical real-world implementations
Recently, Person Re-Identification (Re-ID) has received a lot of attenti...
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09/14/2022
TrADe Re-ID – Live Person Re-Identification using Tracking and Anomaly Detection
Person Re-Identification (Re-ID) aims to search for a person of interest...
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02/07/2022
Evaluation of Runtime Monitoring for UAV Emergency Landing
To certify UAV operations in populated areas, risk mitigation strategies...
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04/30/2021
Certifying Emergency Landing for Safe Urban UAV
Unmanned Aerial Vehicles (UAVs) have the potential to be used for many a...
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02/12/2021
A novel method for object detection using deep learning and CAD models
Object Detection (OD) is an important computer vision problem for indust...
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01/07/2021
Combining pretrained CNN feature extractors to enhance clustering of complex natural images
Recently, a common starting point for solving complex unsupervised image...
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09/29/2020
Robust Detection of Objects under Periodic Motion with Gaussian Process Filtering
Object Detection (OD) is an important task in Computer Vision with many ...
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09/02/2020
Towards Practical Implementations of Person Re-Identification from Full Video Frames
With the major adoption of automation for cities security, person re-ide...
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07/26/2018
Semantically Meaningful View Selection
An understanding of the nature of objects could help robots to solve bot...
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07/20/2018
Improving Image Clustering With Multiple Pretrained CNN Feature Extractors
For many image clustering problems, replacing raw image data with featur...
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04/12/2018
Unsupervised robotic sorting: Towards autonomous decision making robots
Autonomous sorting is a crucial task in industrial robotics which can be...
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07/10/2017
Automatic Construction of Real-World Datasets for 3D Object Localization using Two Cameras
Unlike classification, position labels cannot be assigned manually by hu...
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07/06/2017
CNN features are also great at unsupervised classification
This paper aims at providing insight on the transferability of deep CNN ...
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03/22/2017
Clustering for Different Scales of Measurement - the Gap-Ratio Weighted K-means Algorithm
This paper describes a method for clustering data that are spread out ov...
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01/05/2017
