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Ekaterina Deyneka

2 accepted papers

2024

Panda-70M: Captioning 70M Videos with Multiple Cross-Modality Teachers

CVPR 2024poster

The quality of the data and annotation upper-bounds the quality of a downstream model. While there exist large text corpora and image-text pairs high-quality video-text data is much harder to collect. First of all manual labeling is more time-consuming as it requires an annotator to watch an entire…

Cited by 190SourcePDFScholar
2024

Snap Video: Scaled Spatiotemporal Transformers for Text-to-Video Synthesis

CVPR 2024highlight

Contemporary models for generating images show remarkable quality and versatility. Swayed by these advantages the research community repurposes them to generate videos. Since video content is highly redundant we argue that naively bringing advances of image models to the video generation domain redu…

Cited by 66SourcePDFScholar