Professorship Lehtinen Jaakko

  • Konemiehentie 2, Aalto SCI Computer Science

    Finland

Find us here

Organization profile

Profile Information

Lehtinen Jaakko group

We work on

  • computer graphics,
  • computer vision, and
  • machine learning,

with particular interests in generative modelling, realistic image synthesis, and appearance acquisition and reproduction.

We are fascinated by the combination of machine learning techniques with physical simulators in the search for robust, interpretable AI.

 

Our work contributes to the area of Visual Computing and Human Computer Interaction in the Department of Computer Science.

Network

Recent external collaboration on country level. Dive into details by clicking on the dots or
  • Analyzing and Improving the Image Quality of StyleGAN: 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

    Karras, T., Laine, S., Aittala, M., Hellsten, J., Lehtinen, J. & Aila, T., 2020, IEEE Computer Society Conference on Computer Vision and Pattern Recognition. IEEE, p. 8107-8116 10 p. (IEEE Computer Society Conference on Computer Vision and Pattern Recognition).

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

    Open Access
  • Few-Shot Unsupervised Image-to-Image Translation

    Liu, M-Y., Huang, X., Mallya, A., Karras, T., Aila, T., Lehtinen, J. & Kautz, J., Feb 2020, Proceedings of the International Conference on Computer Vision (ICCV2019). IEEE, p. 10550-10559 10 p. (Proceedings of the IEEE International Conference on Computer Vision; vol. 2019-October).

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

    Open Access
    File
    36 Citations (Scopus)
    99 Downloads (Pure)
  • GANSpace: Discovering Interpretable GAN controls

    Härkönen, E., Hertzman, A., Lehtinen, J. & Paris, S., 2020, Thirty-fourth Conference on Neural Information Processing Systems. 10 p. (Advances in neural information processing systems; vol. 33).

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

    Open Access