5 citations · 7 across the 3 of their papers we have counts for
3 papers
cs.CV2023★ 1 cited
Masked Autoencoder for Unsupervised Video Summarization
Minho Shim, Taeoh Kim, Jinhyung Kim +1
Summarizing a video requires a diverse understanding of the video, ranging from recognizing scenes to evaluating how much each frame is essential enough to be selected as a summary…
cs.CV2022★ 5 cited
Exploring Temporally Dynamic Data Augmentation for Video Recognition
Taeoh Kim, Jinhyung Kim, Minho Shim +4
Data augmentation has recently emerged as an essential component of modern training recipes for visual recognition tasks. However, data augmentation for video recognition has been…
cs.CV2022★ 1 cited
Frequency Selective Augmentation for Video Representation Learning
Jinhyung Kim, Taeoh Kim, Minho Shim +3
Recent self-supervised video representation learning methods focus on maximizing the similarity between multiple augmented views from the same video and largely rely on the quality…