Synthetic data is emerging as a substitute for authentic data to solve ethical and legal
challenges in handling authentic face data. The current models can create real-looking face …

With the development of artificial intelligence and breakthroughs in deep learning, large-
scale foundation models (FMs), such as generative pre-trained transformer (GPT), Sora, etc …

Social media, self-driving cars, and traffic cameras produce video streams at large scales
and cheap cost. However, storing and querying video at such scales is prohibitively …

Advances in ML have motivated the design of video analytics systems that allow for
structured queries over video datasets. However, existing systems limit query expressivity …

We introduce VOCALExplore, a system designed to support users in building domain-
specific models over video datasets. VOCALExplore supports interactive labeling sessions …

With the exponential growth of video data, there is a pressing need for efficient video
analysis technology. Modern query frameworks aim to accelerate queries by reducing the …

In recent years, deep learning models have revolutionized computer vision, enabling
diverse applications. However, these models are computationally expensive, and leveraging …

Live ML analytics have gained increasing popularity with large-scale deployments due to
recent evolution of ML technologies. To serve live ML queries, experts nowadays still need …

Machine learning (ML) practitioners and organizations are building model repositories of pre-
trained models, referred to as model zoos. These model zoos contain metadata describing …

Querying video data has become increasingly popular and useful. Video queries can be
complex, ranging from retrieval tasks (“find me the top videos that have...”), to analytics (“how …