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 911–920 of 1149 papers

TitleStatusHype
Threading Keyframe with Narratives: MLLMs as Strong Long Video Comprehenders—0
Time Blindness: Why Video-Language Models Can't See What Humans Can?—0
TimeSearch: Hierarchical Video Search with Spotlight and Reflection for Human-like Long Video Understanding—0
TimeSoccer: An End-to-End Multimodal Large Language Model for Soccer Commentary Generation—0
TIME: Temporal-sensitive Multi-dimensional Instruction Tuning and Benchmarking for Video-LLMs—0
Toward a Human-Level Video Understanding Intelligence—0
Towards Child-Inclusive Clinical Video Understanding for Autism Spectrum Disorder—0
Towards Efficient and Robust Moment Retrieval System: A Unified Framework for Multi-Granularity Models and Temporal Reranking—0
Towards Fine-Grained Video Question Answering—0
Towards Holistic Language-video Representation: the language model-enhanced MSR-Video to Text Dataset—0
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