Joris Guérin

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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...
02/12/2021 ∙ by Igor Garcia Ballhausen Sampaio, et al. ∙ 0 ∙ share

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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...
01/07/2021 ∙ by Joris Guérin, et al. ∙ 14 ∙ share

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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 ...
09/29/2020 ∙ by Joris Guérin, et al. ∙ 0 ∙ share

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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...
09/02/2020 ∙ by Felix O. Sumari, et al. ∙ 7 ∙ share

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Semantically Meaningful View Selection

An understanding of the nature of objects could help robots to solve bot...
07/26/2018 ∙ by Joris Guérin, et al. ∙ 0 ∙ share

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Improving Image Clustering With Multiple Pretrained CNN Feature Extractors

For many image clustering problems, replacing raw image data with featur...
07/20/2018 ∙ by Joris Guérin, et al. ∙ 0 ∙ share

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Unsupervised robotic sorting: Towards autonomous decision making robots

Autonomous sorting is a crucial task in industrial robotics which can be...
04/12/2018 ∙ by Joris Guérin, et al. ∙ 0 ∙ share

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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...
07/10/2017 ∙ by Joris Guérin, et al. ∙ 0 ∙ share

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CNN features are also great at unsupervised classification

This paper aims at providing insight on the transferability of deep CNN ...
07/06/2017 ∙ by Joris Guérin, et al. ∙ 0 ∙ share

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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...
03/22/2017 ∙ by Joris Guérin, et al. ∙ 0 ∙ share

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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...
01/05/2017 ∙ by Joris Guérin, et al. ∙ 0 ∙ share

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