Blar i SINTEF Open på forfatter "Kvam, Johannes"

Viser treff 1-4 av 4

    • 6D pose estimation for subsea intervention in turbid waters 

      Mohammed, Ahmed; Kvam, Johannes; Thielemann, Jens T; Haugholt, Karl H.; Risholm, Petter (Peer reviewed; Journal article, 2021)
      Manipulation tasks on subsea instalments require extremely precise detection and localization of objects of interest. This problem is referred to as “pose estimation”. In this work, we present a framework for detecting and ...

    • Automated 3D burr detection in cast manufacturing using sparse convolutional neural networks 

      Mohammed, Ahmed Kedir; Kvam, Johannes; Onstein, Ingrid Fjordheim; Bakken, Marianne; Schulerud, Helene (Peer reviewed; Journal article, 2022)
      For automating deburring of cast parts, this paper proposes a general method for estimating burr height using 3D vision sensor that is robust to missing data in the scans and sensor noise. Specifically, we present a novel ...

    • Principal Feature Visualisation in Convolutional Neural Networks 

      Bakken, Marianne; Kvam, Johannes; Stepanov, Alexey; Berge, Asbjørn (Peer reviewed; Journal article, 2020)
      We introduce a new visualisation technique for CNNs called Principal Feature Visualisation (PFV). It uses a single forward pass of the original network to map principal features from the final convolutional layer to the ...

    • Synthetic Data For Dnn-Based Doa Estimation of Indoor Speech 

      Gelderblom, Femke B.; Kvam, Johannes; Liu, Yi; Myrvoll, Tor Andre (Chapter; Peer reviewed, 2021)
      This paper investigates the use of different room impulse response (RIR) simulation methods for synthesizing training data for deep neural network-based direction of arrival (DOA) estimation of speech in reverberant rooms. ...