No photo of Soumya Tripathy
20182023

Research activity per year

Personal profile

Expertise related to 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. This person’s work contributes towards the following SDG(s):

  • SDG 3 - Good Health and Well-being

Education/Academic qualification

Master of Science (Technology), Indian Institute of Technology Bhubaneswar

Award Date: 30 Aug 2016

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Collaborations and top research areas from the last five years

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  • Self-Supervised Learning of Audio Representations using Angular Contrastive Loss

    Wang, S., Tripathy, S. & Mesaros, A., 2023, ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing, Proceedings. IEEE, (ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings; vol. 2023-June).

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

  • Single Source One Shot Reenactment using Weighted Motion from Paired Feature Points

    Tripathy, S., Kannala, J. & Rahtu, E., 2022, Proceedings - 2022 IEEE/CVF Winter Conference on Applications of Computer Vision, WACV 2022. IEEE, p. 2121-2130 10 p. (Proceedings - 2022 IEEE/CVF Winter Conference on Applications of Computer Vision, WACV 2022).

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

    Open Access
    File
    5 Citations (Scopus)
    1 Downloads (Pure)
  • FACEGAN: Facial Attribute Controllable rEenactment GAN

    Tripathy, S., Kannala, J. & Rahtu, E., 2021, 2021 IEEE Winter Conference on Applications of Computer Vision (WACV). IEEE, p. 1328-1337 10 p. (IEEE Winter Conference on Applications of Computer Vision).

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

    Open Access
    34 Citations (Scopus)
  • ICface: Interpretable and controllable face reenactment using GANs

    Tripathy, S., Kannala, J. & Rahtu, E., 1 Mar 2020, 2020 IEEE Winter Conference on Applications of Computer Vision, WACV 2020. IEEE, p. 3374-3383 10 p. (IEEE Winter Conference on Applications of Computer Vision).

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

    Open Access
    File
    51 Citations (Scopus)
    8 Downloads (Pure)
  • Learning Image-to-Image Translation Using Paired and Unpaired Training Samples

    Tripathy, S., Kannala, J. & Rahtu, E., 2019, Computer Vision - ACCV 2018 - 14th Asian Conference on Computer Vision, Revised Selected Papers. Jawahar, C. V., Schindler, K., Mori, G. & Li, H. (eds.). Springer Verlag, p. 51-66 16 p. (Lecture Notes in Computer Science; vol. 11362).

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

    12 Citations (Scopus)