Artificial Intelligence and Deep Learning

Check out this collection of posters to see how researchers are applying artificial intelligence and deep learning and accelerating their work with the power of GPUs.

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    Automated detection of the HER2 gene amplification status in Fluorescnece-in situ-hybridization (FISH) images

    Falk Zakrzewski, Institue of Pathology, University Hospital Carl Gustav Carus, TU Dresden, ASGEN GmbH & Co. KG

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    Deep Learning for Radar and Camera Based Cooking Process Monitoring

    Marco Altmann, Heilbronn University of Applied Sciences

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    Human Activity Capturing and Klassification

    Jeroen Boeye, Faktion

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    End-to-End Learning of Communications Systems Without a Channel Model

    Faycal Ait Aoudia, Nokia Bell Labs

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    How Clickable Are Your Food Photos?

    Tugba Taskaya Temizel, Graduate School of Informatics, Middle East Technical University

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    How To Integrate AI Without...Ouch! A Case Study

    Marco Paulo Ferreira Brigham, CMAP, Ecole polytechnique

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    Human-Machine-Collaboration for Medical Image Segmentation

    Felix Last, SAP

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    In-Field GPGPU Test with SBST Techniques

    Josie Esteban Rodriguez Condia, Electronic CAD & Reliability Group (CAD)

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    Industrial Defect Detection Based on Deep-Learning

    Petr Smid, Pekat Vision

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    The Artificial Hippocampus that enables robots to transform short term memories into long term ons to assist in future tasks

    Marco Antonio Gutierrez

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    JPEG2000 as a Defense Against Attacks using Adversarial Examples

    Alptekin Temizel, Graduate School of Informatics, Middle East Technical University

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    Learning in the Deep: Quantifying change in deep-sea benthic environments using images collected by AUVs

    Jennifer Walker, University of Southampton

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    Meta-learning for Adaptive CNN Architecture Selection

    Yesmina Jaafra, ICube Laboratory, Université de Strasbourg

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    Object detection of densley located objects with high occlusion level

    Igor Krashenyi, Ciklum Kyiv

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    Photorealistic style transfer for automated image editing

    Esin Yavuz, Cyanapse Ltd

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    Tf_cnnvis: Visualizing Convolutional Neural Networks

    Falak Shah, Innovations Pvt. Ltd.

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    To Hit or Not to Hit the road: A DNN approach to caught Potholes from an onboard camera

    David Montero, Intelligent Transport Systems and Engineering, Vicomtech

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    Visual and Gesture Controllable Electromechanical System

    Sebastian Kula, Kazimierz Wielki Unversity in Bydgoszcz

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    Deep Learning for Semantic Segmentation of Road Cracks

    Mark Jenkins, Geckotech Solution Ltd

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    Transfer learning in medical images: a case study

    Satheshkumar Kaliyugarasan, Western Norway University of Applied Sciences