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 551–575 of 1149 papers

TitleStatusHype
VELOCITI: Benchmarking Video-Language Compositional Reasoning with Strict Entailment—0
VersaVid-R1: A Versatile Video Understanding and Reasoning Model from Question Answering to Captioning Tasks—0
VEU-Bench: Towards Comprehensive Understanding of Video Editing—0
ViaRL: Adaptive Temporal Grounding via Visual Iterated Amplification Reinforcement Learning—0
ViBe: A Text-to-Video Benchmark for Evaluating Hallucination in Large Multimodal Models—0
ViCaS: A Dataset for Combining Holistic and Pixel-level Video Understanding using Captions with Grounded Segmentation—0
VidCompress: Memory-Enhanced Temporal Compression for Video Understanding in Large Language Models—0
Video4MRI: An Empirical Study on Brain Magnetic Resonance Image Analytics with CNN-based Video Classification Frameworks—0
VideoAgent: A Memory-augmented Multimodal Agent for Video Understanding—0
VideoAutoArena: An Automated Arena for Evaluating Large Multimodal Models in Video Analysis through User Simulation—0
Perceptron Synthesis Network: Rethinking the Action Scale Variances in Videos—0
Video Domain Incremental Learning for Human Action Recognition in Home Environments—0
Video Event Reasoning and Prediction by Fusing World Knowledge from LLMs with Vision Foundation Models—0
VideoExpert: Augmented LLM for Temporal-Sensitive Video Understanding—0
VideoGLUE: Video General Understanding Evaluation of Foundation Models—0
Video-GroundingDINO: Towards Open-Vocabulary Spatio-Temporal Video Grounding—0
VideoGrounding-DINO: Towards Open-Vocabulary Spatio-Temporal Video Grounding—0
VideoHallucer: Evaluating Intrinsic and Extrinsic Hallucinations in Large Video-Language Models—0
VideoITG: Multimodal Video Understanding with Instructed Temporal Grounding—0
Video Language Model Pretraining with Spatio-temporal Masking—0
VideoLLaMB: Long-context Video Understanding with Recurrent Memory Bridges—0
VideoLLM Benchmarks and Evaluation: A Survey—0
VideoMCC: a New Benchmark for Video Comprehension—0
Video-of-Thought: Step-by-Step Video Reasoning from Perception to Cognition—0
VideoPrism: A Foundational Visual Encoder for Video Understanding—0
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