A survey on generative ai and llm for video generation, understanding, and streaming
This paper offers an insightful examination of how currently top-trending AI technologies, ie,
generative artificial intelligence (Generative AI) and large language models (LLMs), are …
generative artificial intelligence (Generative AI) and large language models (LLMs), are …
Correlation-guided query-dependency calibration in video representation learning for temporal grounding
Temporal Grounding is to identify specific moments or highlights from a video corresponding
to textual descriptions. Typical approaches in temporal grounding treat all video clips …
to textual descriptions. Typical approaches in temporal grounding treat all video clips …
Spikemba: Multi-modal spiking saliency mamba for temporal video grounding
Temporal video grounding (TVG) is a critical task in video content understanding, requiring
precise alignment between video content and natural language instructions. Despite …
precise alignment between video content and natural language instructions. Despite …
Prior knowledge integration via llm encoding and pseudo event regulation for video moment retrieval
In this paper, we explore the use of large language models (LLMs) to enhance video
moment retrieval (VMR) by integrating general knowledge and pseudo-events as priors. We …
moment retrieval (VMR) by integrating general knowledge and pseudo-events as priors. We …
Beyond uncertainty: Evidential deep learning for robust video temporal grounding
Existing Video Temporal Grounding (VTG) models excel in accuracy but often overlook open-
world challenges posed by open-vocabulary queries and untrimmed videos. This leads to …
world challenges posed by open-vocabulary queries and untrimmed videos. This leads to …
ChatVTG: Video Temporal Grounding via Chat with Video Dialogue Large Language Models
Abstract Video Temporal Grounding (VTG) aims to ground specific segments within an
untrimmed video corresponding to the given natural language query. Existing VTG methods …
untrimmed video corresponding to the given natural language query. Existing VTG methods …
Unsupervised Video Moment Retrieval with Knowledge-Based Pseudo-Supervision Construction
Video moment retrieval locates a specified moment by a sentence query. Recent
approaches have made remarkable advancements with large-scale video-sentence …
approaches have made remarkable advancements with large-scale video-sentence …
Sparse graph matching network for temporal language localization in videos
G Wu, T Xu, J Zhang - Computer Vision and Image Understanding, 2024 - Elsevier
Temporal language localization in videos aims to retrieve the moment that best matches the
text description in the untrimmed video using the query text. Existing methods using graph …
text description in the untrimmed video using the query text. Existing methods using graph …
Zero-shot Video Moment Retrieval via Off-the-shelf Multimodal Large Language Models
Y Xu, Y Sun, B Zhai, M Li, W Liang, Y Li… - arXiv preprint arXiv …, 2025 - arxiv.org
The target of video moment retrieval (VMR) is predicting temporal spans within a video that
semantically match a given linguistic query. Existing VMR methods based on multimodal …
semantically match a given linguistic query. Existing VMR methods based on multimodal …
VTG-GPT: Tuning-Free Zero-Shot Video Temporal Grounding with GPT
Y Xu, Y Sun, Z Xie, B Zhai, S Du - Applied Sciences, 2024 - mdpi.com
Video temporal grounding (VTG) aims to locate specific temporal segments from an
untrimmed video based on a linguistic query. Most existing VTG models are trained on …
untrimmed video based on a linguistic query. Most existing VTG models are trained on …