3 papers
cs.CV2025
MMMORRF: Multimodal Multilingual Modularized Reciprocal Rank Fusion
Saron Samuel, Dan DeGenaro, Jimena Guallar-Blasco +13
Videos inherently contain multiple modalities, including visual events, text overlays, sounds, and speech, all of which are important for retrieval. However, state-of-the-art multi…
cs.CV2025
MultiVENT 2.0: A Massive Multilingual Benchmark for Event-Centric Video Retrieval
Reno Kriz, Kate Sanders, David Etter +10
Efficiently retrieving and synthesizing information from large-scale multimodal collections has become a critical challenge. However, existing video retrieval datasets suffer from…
cs.CL2024
Grounding Partially-Defined Events in Multimodal Data
Kate Sanders, Reno Kriz, David Etter +5
How are we able to learn about complex current events just from short snippets of video? While natural language enables straightforward ways to represent under-specified, partially…