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20162023
most citedReal-time Convolutional Neural Networks for Emotion and Gender Classification

60 citations · 72 across the 7 of their papers we have counts for

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5 papers · 1 filter

cs.CV2021

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

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…

cs.CV2020

Black-Box Optimization of Object Detector Scales

Mohandass Muthuraja, Octavio Arriaga, Paul Plöger +2

Object detectors have improved considerably in the last years by using advanced CNN architectures. However, many detector hyper-parameters are generally manually tuned, or they are…

cs.CV20174 cited

Image Captioning and Classification of Dangerous Situations

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. These environments require autonomous systems that are able…

cs.CV201760 cited

Real-time Convolutional Neural Networks for Emotion and Gender Classification

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. We validate our models by creating a real-time v…

cs.CV2016

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

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. We show…