Search Results for author: Paul Plöger

Found 6 papers, 1 papers with code

Forward-Looking Sonar Patch Matching: Modern CNNs, Ensembling, and Uncertainty

no code implementations2 Aug 2021 Arka Mallick, Paul Plöger, Matias Valdenegro-Toro

Application of underwater robots are on the rise, most of them are dependent on sonar for underwater vision, but the lack of strong perception capabilities limits them in this task.

Change Detection Patch Matching

Black-Box Optimization of Object Detector Scales

no code implementations29 Oct 2020 Mohandass Muthuraja, Octavio Arriaga, Paul Plöger, Frank Kirchner, Matias Valdenegro-Toro

In this work, we propose the use of Black-box optimization methods to tune the prior/default box scales in Faster R-CNN and SSD, using Bayesian Optimization, SMAC, and CMA-ES.

Bayesian Optimization Object +1

Image Captioning and Classification of Dangerous Situations

no code implementations7 Nov 2017 Octavio Arriaga, Paul Plöger, Matias Valdenegro-Toro

Current robot platforms are being employed to collaborate with humans in a wide range of domestic and industrial tasks.

Anomaly Detection Classification +2

Real-time Convolutional Neural Networks for Emotion and Gender Classification

18 code implementations20 Oct 2017 Octavio Arriaga, Matias Valdenegro-Toro, Paul Plöger

In this paper we propose an implement a general convolutional neural network (CNN) building framework for designing real-time CNNs.

Emotion Classification Face Detection +3

On Recognizing Transparent Objects in Domestic Environments Using Fusion of Multiple Sensor Modalities

no code implementations3 Jun 2016 Alexander Hagg, Frederik Hegger, Paul Plöger

Current object recognition methods fail on object sets that include both diffuse, reflective and transparent materials, although they are very common in domestic scenarios.

Object Object Recognition +1

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