Video moment localization, also known as video moment retrieval, aims to search a target
segment within a video described by a given natural language query. Beyond the task of …

Video moment retrieval pursues an efficient and generalized solution to identify the specific
temporal segments within an untrimmed video that correspond to a given language …

Detecting customized moments and highlights from videos given natural language (NL) user
queries is an important but under-studied topic. One of the challenges in pursuing this …

Recently, video moment retrieval and highlight detection (MR/HD) are being spotlighted as
the demand for video understanding is drastically increased. The key objective of MR/HD is …

We address the problem of retrieving a specific moment from an untrimmed video by a query
sentence. This is a challenging problem because a target moment may take place in …

Large language models (LLMs) have shown remarkable text understanding capabilities
which have been extended as Video LLMs to handle video data for comprehending visual …

We present a new large-scale multilingual video description dataset, VATEX, which contains
over 41,250 videos and 825,000 captions in both English and Chinese. Among the captions …

Temporal sentence grounding in videos (TSGV), aka, natural language video localization
(NLVL) or video moment retrieval (VMR), aims to retrieve a temporal moment that …

We consider the problem of localizing a spatio-temporal tube in a video corresponding to a
given text query. This is a challenging task that requires the joint and efficient modeling of …

Vision-language navigation (VLN) is the task of navigating an embodied agent to carry out
natural language instructions inside real 3D environments. In this paper, we study how to …