7 citations · 9 across the 3 of their papers we have counts for
3 papers
cs.CV2023
In-Style: Bridging Text and Uncurated Videos with Style Transfer for Text-Video Retrieval
Nina Shvetsova, Anna Kukleva, Bernt Schiele +1
Large-scale noisy web image-text datasets have been proven to be efficient for learning robust vision-language models. However, when transferring them to the task of video retrieva…
cs.CV2023★ 7 cited
Temperature Schedules for Self-Supervised Contrastive Methods on Long-Tail Data
Anna Kukleva, Moritz Böhle, Bernt Schiele +2
Most approaches for self-supervised learning (SSL) are optimised on curated balanced datasets, e.g. ImageNet, despite the fact that natural data usually exhibits long-tail distribu…
cs.CV2023★ 2 cited
TAEC: Unsupervised Action Segmentation with Temporal-Aware Embedding and Clustering
Wei Lin, Anna Kukleva, Horst Possegger +2
Temporal action segmentation in untrimmed videos has gained increased attention recently. However, annotating action classes and frame-wise boundaries is extremely time consuming a…