25 citations · 80 across the 27 of their papers we have counts for
5 papers · 1 filter
Analyzing Sustainability Messaging in Large-Scale Corporate Social Media
Ujjwal Sharma, Stevan Rudinac, Ana Mićković +2
In this work, we introduce a multimodal analysis pipeline that leverages large foundation models in vision and language to analyze corporate social media content, with a focus on s…
Looking Beyond the Obvious: A Survey on Abstract Concept Recognition for Video Understanding
Gowreesh Mago, Pascal Mettes, Stevan Rudinac
The automatic understanding of video content is advancing rapidly. Empowered by deeper neural networks and large datasets, machines are increasingly capable of understanding what i…
ArtRAG: Retrieval-Augmented Generation with Structured Context for Visual Art Understanding
Shuai Wang, Ivona Najdenkoska, Hongyi Zhu +4
Understanding visual art requires reasoning across multiple perspectives -- cultural, historical, and stylistic -- beyond mere object recognition. While recent multimodal large lan…
The CASTLE 2024 Dataset: Advancing the Art of Multimodal Understanding
Luca Rossetto, Werner Bailer, Duc-Tien Dang-Nguyen +11
Egocentric video has seen increased interest in recent years, as it is used in a range of areas. However, most existing datasets are limited to a single perspective. In this paper,…
Gradient Weight-normalized Low-rank Projection for Efficient LLM Training
Jia-Hong Huang, Yixian Shen, Hongyi Zhu +2
Large Language Models (LLMs) have shown remarkable performance across various tasks, but the escalating demands on computational resources pose significant challenges, particularly…