MeMAD Laaksonen

Project Details

Short titleMeMAD Laaksonen
StatusActive
Effective start/end date01/01/201831/12/2020

Research Output

  • 4 Conference contribution

Deep Contextual Attention for Human-Object Interaction Detection

Wang, T., Anwer, R. M., Khan, M. H., Khan, F. S., Pang, Y., Shao, L. & Laaksonen, J., Feb 2020, Proceedings of the International Conference on Computer Vision (ICCV2019). IEEE, p. 5694-5702 (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
  • 1 Citation (Scopus)
    29 Downloads (Pure)

    Geometry-aware relational exemplar attention for dense captioning

    Wang, T. J. J., Tavakoli, H. R., Sjöberg, M. & Laaksonen, J., 15 Oct 2019, MULEA 2019 - 1st International Workshop on Multimodal Understanding and Learning for Embodied Applications, co-located with MM 2019. ACM, p. 3-11 9 p.

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

    Open Access
    File
  • 39 Downloads (Pure)

    Multi-stream Convolutional Networks for Indoor Scene Recognition

    Anwer, R. M., Khan, F. S., Laaksonen, J. & Zaki, N., 1 Jan 2019, Computer Analysis of Images and Patterns - 18th International Conference, CAIP 2019, Proceedings. Vento, M. & Percannella, G. (eds.). p. 196-208 13 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11678 LNCS).

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