Recently integrating video foundation models and large language models to build a video
understanding system can overcome the limitations of specific pre-defined vision tasks. Yet …

This paper presents the results of the news translation task, the multilingual low-resource
translation for Indo-European languages, the triangular translation task, and the automatic …

We present a new state-of-the-art on the text-to-video retrieval task on MSRVTT and LSMDC
benchmarks where our model outperforms all previous solutions by a large margin …

Research in the Vision and Language area encompasses challenging topics that seek to
connect visual and textual information. When the visual information is related to videos, this …

This paper presents Universal Vision-Language Dense Retrieval (UniVL-DR), which builds
a unified model for multi-modal retrieval. UniVL-DR encodes queries and multi-modality …

Zero-shot action recognition (ZSAR) aims to learn an alignment model between videos and
class descriptions of seen actions that is transferable to unseen actions. The text queries …

In the last decade, user-centric video search competitions have facilitated the evolution of
interactive video search systems. So far, these competitions focused on a small number of …

Recently, integrating video foundation models and large language models to build a video
understanding system can overcome the limitations of specific pre-defined vision tasks. Yet …

In this work we present a new State-of-The-Art on the text-to-video retrieval task on MSR-
VTT, LSMDC, MSVD, YouCook2 and TGIF obtained by a single model. Three different data …

Soccer has a considerable market share of the global sports industry, and the interest in
viewing videos from soccer games continues to grow. In this respect, it is important to …