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Video understanding with large language models: A survey
With the burgeoning growth of online video platforms and the escalating volume of video
content, the demand for proficient video understanding tools has intensified markedly. Given …
content, the demand for proficient video understanding tools has intensified markedly. Given …
Networking systems for video anomaly detection: A tutorial and survey
The increasing utilization of surveillance cameras in smart cities, coupled with the surge of
online video applications, has heightened concerns regarding public security and privacy …
online video applications, has heightened concerns regarding public security and privacy …
Advancing video anomaly detection: A concise review and a new dataset
Video Anomaly Detection (VAD) finds widespread applications in security surveillance,
traffic monitoring, industrial monitoring, and healthcare. Despite extensive research efforts …
traffic monitoring, industrial monitoring, and healthcare. Despite extensive research efforts …
Holmes-vad: Towards unbiased and explainable video anomaly detection via multi-modal llm
Towards open-ended Video Anomaly Detection (VAD), existing methods often exhibit
biased detection when faced with challenging or unseen events and lack interpretability. To …
biased detection when faced with challenging or unseen events and lack interpretability. To …
Large language models for anomaly and out-of-distribution detection: A survey
R Xu, K Ding - arxiv preprint arxiv:2409.01980, 2024 - arxiv.org
Detecting anomalies or out-of-distribution (OOD) samples is critical for maintaining the
reliability and trustworthiness of machine learning systems. Recently, Large Language …
reliability and trustworthiness of machine learning systems. Recently, Large Language …
Deep learning for video anomaly detection: A review
Video anomaly detection (VAD) aims to discover behaviors or events deviating from the
normality in videos. As a long-standing task in the field of computer vision, VAD has …
normality in videos. As a long-standing task in the field of computer vision, VAD has …
Do language models understand time?
Large language models (LLMs) have revolutionized video-based computer vision
applications, including action recognition, anomaly detection, and video summarization …
applications, including action recognition, anomaly detection, and video summarization …
Quo Vadis, Anomaly Detection? LLMs and VLMs in the Spotlight
Video anomaly detection (VAD) has witnessed significant advancements through the
integration of large language models (LLMs) and vision-language models (VLMs) …
integration of large language models (LLMs) and vision-language models (VLMs) …
Holmes-vau: Towards long-term video anomaly understanding at any granularity
How can we enable models to comprehend video anomalies occurring over varying
temporal scales and contexts? Traditional Video Anomaly Understanding (VAU) methods …
temporal scales and contexts? Traditional Video Anomaly Understanding (VAU) methods …
Vera: Explainable video anomaly detection via verbalized learning of vision-language models
The rapid advancement of vision-language models (VLMs) has established a new paradigm
in video anomaly detection (VAD): leveraging VLMs to simultaneously detect anomalies and …
in video anomaly detection (VAD): leveraging VLMs to simultaneously detect anomalies and …