20 citations · 57 across the 11 of their papers we have counts for
5 papers · 1 filter
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…
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…
Multi-encoder Network for Parameter Reduction of a Kernel-based Interpolation Architecture
Issa Khalifeh, Marc Gorriz Blanch, Ebroul Izquierdo +1
Video frame interpolation involves the synthesis of new frames from existing ones. Convolutional neural networks (CNNs) have been at the forefront of the recent advances in this fi…
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…
DANICE: Domain adaptation without forgetting in neural image compression
Sudeep Katakol, Luis Herranz, Fei Yang +1
Neural image compression (NIC) is a new coding paradigm where coding capabilities are captured by deep models learned from data. This data-driven nature enables new potential funct…