Anna Kukleva (Postdoc)

Dr. 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

2024

  1. Conference paper
    D2
    “HowToCaption: Prompting LLMs to Transform Video Annotations at Scale,” in Computer Vision -- ECCV 2024, Milano, Italy.
  2. Conference paper
    D2
    “OrCo: Towards Better Generalization via Orthogonality and Contrast for Few-Shot Class-Incremental Learning,” in IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2024), Seattle, WA, USA.
  3. Conference paper
    D2
    “X-MIC: Cross-Modal Instance Conditioning for Egocentric Action Generalization,” in IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2024), Seattle, WA, USA.
  4. Thesis
    D2IMPR-CS
    “Advancing Image and Video Recognition with Less Supervision,” Universität des Saarlandes, Saarbrücken, 2024.

2023

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

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.