Anna Kukleva (PhD Student)

MSc Anna Kukleva

Address
Max-Planck-Institut für Informatik
Saarland Informatics Campus
Campus E1 4
66123 Saarbrücken
Location
E1 4 - 615
Phone
+49 681 9325 2144
Fax
+49 681 9325 2099

Personal Information

Publications

2023

  1. Article
    D2
    “Revisiting Consistency Regularization for Semi-supervised Learning,” International Journal of Computer Vision, vol. 131, 2023.
  2. Conference paper
    D2
    “SSB: Simple but Strong Baseline for Boosting Performance of Open-Set Semi-Supervised Learning,” in Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV 2023), Paris, France.
  3. Conference paper
    D2
    “In-Style: Bridging Text and Uncurated Videos with Style Transfer for Text-Video Retrieval,” in Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV 2023), Paris, France.
  4. Conference paper
    D2
    “Learning by Sorting: Self-supervised Learning with Group Ordering Constraints,” in Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV 2023), Paris, France.

2022

  1. Conference paper
    D2
    “CycDA: Unsupervised Cycle Domain Adaptation to Learn from Image to Video,” in Computer Vision -- ECCV 2022, Tel Aviv, Israel, 2022.
  2. Paper
    D2
    “Leveraging Self-Supervised Training for Unintentional Action Recognition,” 2022. [Online]. Available: https://arxiv.org/abs/2209.11870.

2021

  1. Conference paper
    D2
    “Generalized and Incremental Few-Shot Learning by Explicit Learning and Calibration without Forgetting,” in ICCV 2021, IEEE/CVF International Conference on Computer Vision, Virtual Event, 2021.
  2. Conference paper
    D2
    “Joint Visual-Temporal Embedding for Unsupervised Learning of Actions in Untrimmed Sequences,” in IEEE Winter Conference on Applications of Computer Vision (WACV 2021), Virtual, 2021.
  3. Conference paper
    D2
    “Revisiting Consistency Regularization for Semi-supervised Learning,” in Pattern Recognition (GCPR 2021), Bonn, Germany, 2022.

2020

  1. Conference paper
    D2
    “Learning Interactions and Relationships between Movie Characters,” in IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2020), Seattle, WA, USA (Virtual), 2020.