20 citations · 38 across the 6 of their papers we have counts for
Showing cs.CVShow all
3 papers · 1 filter
cs.CV2023
Efficient Convolution and Transformer-Based Network for Video Frame Interpolation
Issa Khalifeh, Luka Murn, Marta Mrak +1
Video frame interpolation is an increasingly important research task with several key industrial applications in the video coding, broadcast and production sectors. Recently, trans…
cs.CV2023★ 3 cited
Query-based Video Summarization with Pseudo Label Supervision
Jia-Hong Huang, Luka Murn, Marta Mrak +1
Existing datasets for manually labelled query-based video summarization are costly and thus small, limiting the performance of supervised deep video summarization models. Self-supe…
cs.CV2021★ 1 cited
GPT2MVS: Generative Pre-trained Transformer-2 for Multi-modal Video Summarization
Jia-Hong Huang, Luka Murn, Marta Mrak +1
Traditional video summarization methods generate fixed video representations regardless of user interest. Therefore such methods limit users' expectations in content search and exp…