Eingebettete Intelligenz

Seite 1 von 3.

1. Adrian Lubitz.; Matias Valdenegro-Toro.; Frank Kirchner.

   The VVAD-LRS3 Dataset for Visual Voice Activity Detection

   In: Proceedings of the 18th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - HUCAPP. International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP-2023), February 19-21, Lissabon, Portugal, Pages 39-46, ISBN 978-989-758-634-7, SciTePress, 2023.

2. Mariela De Lucas Alvarez; Jichen Guo; Raúl Domínguez; Matias Valdenegro-Toro (Hrsg.)

   Terrain Classification Enhanced with Uncertainty for Space Exploration Robots from Proprioceptive Data

   LatinX in AI Research Workshop (LXAI-2023), LatinX in AI (LXAI) Research at ICML 2023, located at ICML, July 23-29, Honolulu, Hawaii, USA, Journal of LatinX in AI (LXAI) Research, 2023.

3. Luis Octavio Arriaga Camargo; Sebastian Palacio; Matias Valdenegro-Toro

   Difficulty Estimation with Action Scores for Computer Vision Tasks

   In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops. International Conference on Computer Vision and Pattern Recognition (CVPR-2023), IEEE, 2023.

4. Alan Preciado-Grijalva; Bilal Wehbe; Miguel Bande Firvida; Matias Valdenegro-Toro

   Self-supervised Learning for Sonar Image Classification

   In: Alan Preciado-Grijalva; Bilal Wehbe; Miguel Bande Firvida; Matias Valdenegro-Toro (Hrsg.). Self-supervised Learning for Sonar Image Classification. International Conference on Computer Vision and Pattern Recognition (CVPR-2022), 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), June 19-20, New Orleans, LA, USA, Pages 1498-1507, ISBN 978-1-6654-8739-9, IEEE, 2022.

5. Mihir Patil; Bilal Wehbe; Matias Valdenegro-Toro

   Deep Reinforcement Learning for Continuous Docking Control of Autonomous Underwater Vehicles: A Benchmarking Study

   In: Global OCEANS 2021. OCEANS MTS/IEEE Conference (OCEANS-2021), September 20-23, San Diego, CA, USA, IEEE, 9/2021.

6. Matias Valdenegro-Toro

   I Find Your Lack of Uncertainty in Computer Vision Disturbing

   In: IEEE/CVF. International Conference on Computer Vision and Pattern Recognition (CVPR-2021), located at LatinX in CV Workshop @ CVPR 2021, June 19-25, Online, IEEE, 1/2021.

7. Deepak Singh; Matias Valdenegro-Toro

   The Marine Debris Dataset for Forward-Looking Sonar Semantic Segmentation

   In: OceanVision Workshop. International Conference on Computer Vision (ICCV-2021), October 11-17, Online, Springer, 2021.

8. Matias Valdenegro-Toro

   Exploring the Limits of Epistemic Uncertainty Quantification in Low-Shot Settings

   In: LatinX in AI Research Workshop @ NeurIPS 2021. LatinX in AI Research Workshop (LXAI-2021), located at NeurIPS 2021, December 7, Virtual, arXiv, 2021.

9. Matias Valdenegro-Toro; Alan Preciado; Bilal Wehbe

   Pre-trained Models for Sonar Images

   In: Global OCEANS 2021. OCEANS MTS/IEEE Conference (OCEANS), September 20-23, San Diego, CA, USA, IEEE, 2021.

10. Arka Mallick; Paul Plöger; Matias Valdenegro-Toro

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

    In: Global OCEANS 2021. OCEANS MTS/IEEE Conference (OCEANS), September 20-23, San Diego, CA, USA, IEEE, 2021.

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