SOTAVerified

Video Understanding

A crucial task of Video Understanding is to recognise and localise (in space and time) different actions or events appearing in the video.

Source: Action Detection from a Robot-Car Perspective

Papers

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Showing 401–410 of 1149 papers

TitleStatusHype
VideoITG: Multimodal Video Understanding with Instructed Temporal Grounding—0
Chat with AI: The Surprising Turn of Real-time Video Communication from Human to AI—0
EmbRACE-3K: Embodied Reasoning and Action in Complex Environments—0
Beyond Appearance: Geometric Cues for Robust Video Instance Segmentation—0
Video Event Reasoning and Prediction by Fusing World Knowledge from LLMs with Vision Foundation Models—0
Large Language Models for Crash Detection in Video: A Survey of Methods, Datasets, and Challenges—0
CAVALRY-V: A Large-Scale Generator Framework for Adversarial Attacks on Video MLLMs—0
ActAlign: Zero-Shot Fine-Grained Video Classification via Language-Guided Sequence AlignmentCode0
Q-Frame: Query-aware Frame Selection and Multi-Resolution Adaptation for Video-LLMs—0
Task-Aware KV Compression For Cost-Effective Long Video UnderstandingCode0
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