Higher dimensional data such as video and 3D are the leading edge of multimedia retrieval
and computer vision research. In this survey, we give a comprehensive overview and key …

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 …

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 …

We extend the task of composed image retrieval, where an input query consists of an image
and short textual description of how to modify the image. Existing methods have only been …

Observing that the 3D captioning task and the 3D grounding task contain both shared and
complementary information in nature, in this work, we propose a unified framework to jointly …

Video grounding aims to localize a moment from an untrimmed video for a given textual
query. Existing approaches focus more on the alignment of visual and language stimuli with …

We address the problem of video grounding from natural language queries. The key
challenge in this task is that one training video might only contain a few annotated …

Given an untrimmed video and a text query, natural language video localization (NLVL) is to
locate a matching span from the video that semantically corresponds to the query. Existing …