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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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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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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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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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Semantically Meaningful View Selection
An understanding of the nature of objects could help robots to solve bot...
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Improving Image Clustering With Multiple Pretrained CNN Feature Extractors
For many image clustering problems, replacing raw image data with featur...
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Unsupervised robotic sorting: Towards autonomous decision making robots
Autonomous sorting is a crucial task in industrial robotics which can be...
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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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CNN features are also great at unsupervised classification
This paper aims at providing insight on the transferability of deep CNN ...
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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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Learning local trajectories for high precision robotic tasks : application to KUKA LBR iiwa Cartesian positioning
To ease the development of robot learning in industry, two conditions ne...
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