In this paper we present a text-conditioned video resampler (TCR) module that uses a pre-
trained and frozen visual encoder and large language model (LLM) to process long video …

This paper explores feature prediction as a stand-alone objective for unsupervised learning
from video and introduces V-JEPA, a collection of vision models trained solely using a …

The ability to anticipate possible future human actions is essential for a wide range of
applications, including autonomous driving and human-robot interaction. Consequently …

Although multi-modal large language models possess impressive cross-modal reasoning
and prediction capabilities, they lack a unified and rigorous evaluation standard. In this …

Predicting future human behavior is an increasingly popular topic in computer vision, driven
by the interest in applications such as autonomous vehicles, digital assistants and human …

Despite the great advances in video understanding with deep neural networks, current
solutions still struggle with input videos that last for minutes, if not hours. To mitigate this …