Temporal sentence grounding in videos: A survey and future directions
Temporal sentence grounding in videos (TSGV), aka, natural language video localization
(NLVL) or video moment retrieval (VMR), aims to retrieve a temporal moment that …
(NLVL) or video moment retrieval (VMR), aims to retrieve a temporal moment that …
You can ground earlier than see: An effective and efficient pipeline for temporal sentence grounding in compressed videos
X Fang, D Liu, P Zhou, G Nan - Proceedings of the IEEE …, 2023 - openaccess.thecvf.com
Given an untrimmed video, temporal sentence grounding (TSG) aims to locate a target
moment semantically according to a sentence query. Although previous respectable works …
moment semantically according to a sentence query. Although previous respectable works …
Hypotheses tree building for one-shot temporal sentence localization
Given an untrimmed video, temporal sentence localization (TSL) aims to localize a specific
segment according to a given sentence query. Though respectable works have made …
segment according to a given sentence query. Though respectable works have made …
Faster video moment retrieval with point-level supervision
Video Moment Retrieval (VMR) aims at retrieving the most relevant events from an
untrimmed video with natural language queries. Existing VMR methods suffer from two …
untrimmed video with natural language queries. Existing VMR methods suffer from two …
Siamese Learning with Joint Alignment and Regression for Weakly-Supervised Video Paragraph Grounding
Abstract Video Paragraph Grounding (VPG) is an emerging task in video-language
understanding which aims at localizing multiple sentences with semantic relations and …
understanding which aims at localizing multiple sentences with semantic relations and …
Learning temporal sentence grounding from narrated egovideos
The onset of long-form egocentric datasets such as Ego4D and EPIC-Kitchens presents a
new challenge for the task of Temporal Sentence Grounding (TSG). Compared to traditional …
new challenge for the task of Temporal Sentence Grounding (TSG). Compared to traditional …
Learning point-language hierarchical alignment for 3D visual grounding
This paper presents a novel hierarchical alignment model (HAM) that learns multi-
granularity visual and linguistic representations in an end-to-end manner. We extract key …
granularity visual and linguistic representations in an end-to-end manner. We extract key …
Gaussian Mixture Proposals with Pull-Push Learning Scheme to Capture Diverse Events for Weakly Supervised Temporal Video Grounding
In the weakly supervised temporal video grounding study, previous methods use
predetermined single Gaussian proposals which lack the ability to express diverse events …
predetermined single Gaussian proposals which lack the ability to express diverse events …
EtC: Temporal Boundary Expand then Clarify for Weakly Supervised Video Grounding with Multimodal Large Language Model
Early weakly supervised video grounding (WSVG) methods often struggle with incomplete
boundary detection due to the absence of temporal boundary annotations. To bridge the gap …
boundary detection due to the absence of temporal boundary annotations. To bridge the gap …
Zero-Shot Video Moment Retrieval Using BLIP-Based Models
Abstract Video Moment Retrieval (VMR) is a challenging task at the intersection of vision
and language, with the goal to retrieve relevant moments from videos corresponding to …
and language, with the goal to retrieve relevant moments from videos corresponding to …