High-dimensional vector similarity search (HVSS) is gaining prominence as a powerful tool
for various data science and AI applications. As vector data scales up, in-memory indexes …

For approximate nearest neighbor search, graph-based algorithms have shown to offer the
best trade-off between accuracy and search time. We propose the Dynamic Exploration …

Exploring medium-to-large datasets of social media imagery can be challenging. This paper
describes a digitally-assisted iconology, a hybrid methodology that includes machine …

Phrase Grounding, ie, PG aims to locate objects referred by noun phrases. Recently, PG
under weak supervision (ie, grounding without region-level annotations) and zero-shot PG …

Proximity graphs (PG) have gained increasing popularity as the state-of-the-art (SOTA)
solutions to $ k $-approximate nearest neighbor ($ k $-ANN) search on high-dimensional …

The native macOS application PicArrange integrates state-of-the-art image sorting and
similarity search to enable users to get a better overview of their images. Many file and …

As datasets and the dimensionality of feature vectors continue to grow, Approximate Nearest
Neighbor Search (ANNS) in large multimedia databases becomes increasingly relevant …

This paper presents details of our frame-based Ad-hoc Video Search system with manually
assisted querying that will be used for the Video Browser Showdown 2021 (VBS2021). The …

This project investigates two competing 4chan groups concerned with the war in Ukraine.
We follow the pro-Ukrainian (/uhg/) and the pro-Russian (/chug/) threads and their …

Digital cameras and social media lead to an ever-increasing number of digital images.
Large collections can be overwhelming for users and difficult to comprehend. As in other …