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Video Understanding
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A crucial task of Video Understanding is to recognise and localise (in space and time) different actions or events appearing in the video.
논문
이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.
DiffVQA: Video Quality Assessment Using Diffusion Feature Extractor
Breaking Annotation Barriers: Generalized Video Quality Assessment via Ranking-based Self-Supervision
Uncertainty-Weighted Image-Event Multimodal Fusion for Video Anomaly Detection
ProDisc-VAD: An Efficient System for Weakly-Supervised Anomaly Detection in Video Surveillance Applications
VideoLLM Benchmarks and Evaluation: A Survey
VideoHallu: Evaluating and Mitigating Multi-modal Hallucinations on Synthetic Video Understanding
TEMPURA: Temporal Event Masked Prediction and Understanding for Reasoning in Action
Empowering Agentic Video Analytics Systems with Video Language Models
SeriesBench: A Benchmark for Narrative-Driven Drama Series Understanding
VideoMultiAgents: A Multi-Agent Framework for Video Question Answering
TimeChat-Online: 80% Visual Tokens are Naturally Redundant in Streaming Videos
TimeSoccer: An End-to-End Multimodal Large Language Model for Soccer Commentary Generation
DyMU: Dynamic Merging and Virtual Unmerging for Efficient VLMs
NTIRE 2025 Challenge on Short-form UGC Video Quality Assessment and Enhancement: KwaiSR Dataset and Study
DyST-XL: Dynamic Layout Planning and Content Control for Compositional Text-to-Video Generation
An LMM for Efficient Video Understanding via Reinforced Compression of Video Cubes
Eagle 2.5: Boosting Long-Context Post-Training for Frontier Vision-Language Models
IV-Bench: A Benchmark for Image-Grounded Video Perception and Reasoning in Multimodal LLMs
ResNetVLLM -- Multi-modal Vision LLM for the Video Understanding Task
Are Vision LLMs Road-Ready? A Comprehensive Benchmark for Safety-Critical Driving Video Understanding
Grounding-MD: Grounded Video-language Pre-training for Open-World Moment Detection
OmniV-Med: Scaling Medical Vision-Language Model for Universal Visual Understanding
How Well Can General Vision-Language Models Learn Medicine By Watching Public Educational Videos?
Prototypes are Balanced Units for Efficient and Effective Partially Relevant Video Retrieval
VistaDPO: Video Hierarchical Spatial-Temporal Direct Preference Optimization for Large Video Models
NTIRE 2025 Challenge on Short-form UGC Video Quality Assessment and Enhancement: Methods and Results
PerceptionLM: Open-Access Data and Models for Detailed Visual Understanding
Perception Encoder: The best visual embeddings are not at the output of the network
DVLTA-VQA: Decoupled Vision-Language Modeling with Text-Guided Adaptation for Blind Video Quality Assessment
Self-alignment of Large Video Language Models with Refined Regularized Preference Optimization
OmniVDiff: Omni Controllable Video Diffusion for Generation and Understanding
PVUW 2025 Challenge Report: Advances in Pixel-level Understanding of Complex Videos in the Wild
Mavors: Multi-granularity Video Representation for Multimodal Large Language Model
Multimodal Long Video Modeling Based on Temporal Dynamic Context
TinyLLaVA-Video-R1: Towards Smaller LMMs for Video Reasoning
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