Computer Science - Visual Computing (VisualComputing) - Research area

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    Konemiehentie 2, Computer Science building

    Finland

Organisation profile

Organisation profile

Visual computing
Department of Computer Science Research area

Visual computing studies the creation and understanding of images, shapes, and three-dimensional spaces by computational means. As we seek to increase our understanding of not just how to create and analyze images and sounds, but also how we humans perceive, react to, and interact with them, research in visual computing is of an increasingly interdisciplinary nature.

Research topics: Computer graphics and animation, computer vision, generative modeling in machine learning, virtual acoustics.

Research area webpage: https://www.aalto.fi/en/department-of-computer-science/visual-computing

Department of Computer Science

UN Sustainable Development Goals

In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. Our work contributes towards the following SDG(s):

  • SDG 3 - Good Health and Well-being
  • SDG 7 - Affordable and Clean Energy
  • SDG 11 - Sustainable Cities and Communities
  • SDG 15 - Life on Land

Collaborations and top research areas from the last five years

Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
  • A2-GNN : Angle-Annular GNN for Visual Descriptor-Free Camera Relocalization

    Zhang, Y., Wang, S. & Kannala, J., 2025, Proceedings - 2025 International Conference on 3D Vision, 3DV 2025. IEEE, p. 357-368 12 p. (Proceedings International Conference on 3D Vision).

    Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-review

    Open Access
    File
    3 Downloads (Pure)
  • A Dataset for Semantic Segmentation in the Presence of Unknowns

    Laskar, Z., Vojir, T., Grcic, M., Melekhov, I., Gangisetty, S., Kannala, J., Matas, J., Tolias, G. & Jawahar, C. V., 2025, 2025 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). IEEE, p. 1439-1448 (IEEE Computer Society Conference on Computer Vision and Pattern Recognition).

    Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-review

    Open Access
  • A Fusion-Guided Inception Network for Hyperspectral Image Super-Resolution

    Muhammad, U. & Laaksonen, J., 2025, 2025 25th International Conference on Digital Signal Processing, DSP 2025. IEEE, 5 p. (International Conference on Digital Signal Processing).

    Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-review

    Open Access
    1 Citation (Scopus)