:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Yan, Haiyang, Zhou, Hongyun, Xu, Peng, Feng, Xiaoxue, Liu, Mengyi
Format:	Preprint
Published:	2026
Subjects:	Computer Vision and Pattern Recognition Artificial Intelligence
Online Access:	https://arxiv.org/abs/2603.17307
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

MLVU: Benchmarking Multi-task Long Video Understanding
by: Zhou, Junjie, et al.
Published: (2024)

VCA: Video Curious Agent for Long Video Understanding
by: Yang, Zeyuan, et al.
Published: (2024)

VideoExplorer: Think With Videos For Agentic Long-Video Understanding
by: Yuan, Huaying, et al.
Published: (2025)

CogME: A Cognition-Inspired Multi-Dimensional Evaluation Metric for Story Understanding
by: Shin, Minjung, et al.
Published: (2021)

Video-XL-2: Towards Very Long-Video Understanding Through Task-Aware KV Sparsification
by: Qin, Minghao, et al.
Published: (2025)

Task-Aware KV Compression For Cost-Effective Long Video Understanding
by: Qin, Minghao, et al.
Published: (2025)

mPLUG-Owl3: Towards Long Image-Sequence Understanding in Multi-Modal Large Language Models
by: Ye, Jiabo, et al.
Published: (2024)

FreshMem: Brain-Inspired Frequency-Space Hybrid Memory for Streaming Video Understanding
by: Li, Kangcong, et al.
Published: (2026)

LongVideoAgent: Multi-Agent Reasoning with Long Videos
by: Liu, Runtao, et al.
Published: (2025)

Video Panels for Long Video Understanding
by: Doorenbos, Lars, et al.
Published: (2025)

VideoWebArena: Evaluating Long Context Multimodal Agents with Video Understanding Web Tasks
by: Jang, Lawrence, et al.
Published: (2024)

IMPACT-CYCLE: A Contract-Based Multi-Agent System for Claim-Level Supervisory Correction of Long-Video Semantic Memory
by: Kong, Weitong, et al.
Published: (2026)

PreMind: Multi-Agent Video Understanding for Advanced Indexing of Presentation-style Videos
by: Wei, Kangda, et al.
Published: (2025)

VideoStir: Understanding Long Videos via Spatio-Temporally Structured and Intent-Aware RAG
by: Fu, Honghao, et al.
Published: (2026)

LVBench: An Extreme Long Video Understanding Benchmark
by: Wang, Weihan, et al.
Published: (2024)

MMVIAD: Multi-view Multi-task Video Understanding for Industrial Anomaly Detection
by: Zhao, Xiran, et al.
Published: (2026)

QuickVideo: Real-Time Long Video Understanding with System Algorithm Co-Design
by: Schneider, Benjamin, et al.
Published: (2025)

Shot Sequence Ordering for Video Editing: Benchmarks, Metrics, and Cinematology-Inspired Computing Methods
by: Li, Yuzhi, et al.
Published: (2025)

Hierarchical Long Video Understanding with Audiovisual Entity Cohesion and Agentic Search
by: Yin, Xinlei, et al.
Published: (2026)

Think with Grounding: Curriculum Reinforced Reasoning with Video Grounding for Long Video Understanding
by: Chen, Houlun, et al.
Published: (2026)

IPFormer-VideoLLM: Enhancing Multi-modal Video Understanding for Multi-shot Scenes
by: Liang, Yujia, et al.
Published: (2025)

Re-Attentional Controllable Video Diffusion Editing
by: Wang, Yuanzhi, et al.
Published: (2024)

VideoAgent: Long-form Video Understanding with Large Language Model as Agent
by: Wang, Xiaohan, et al.
Published: (2024)

Detecting AI-Generated Video via Frame Consistency
by: Ma, Long, et al.
Published: (2024)

Divide-then-Diagnose: Weaving Clinician-Inspired Contexts for Ultra-Long Capsule Endoscopy Videos
by: Liu, Bowen, et al.
Published: (2026)

Cognition-Inspired Dual-Stream Semantic Enhancement for Vision-Based Dynamic Emotion Modeling
by: Wang, Huanzhen, et al.
Published: (2026)

M-LLM Based Video Frame Selection for Efficient Video Understanding
by: Hu, Kai, et al.
Published: (2025)

Video-EM: Event-Centric Episodic Memory for Long-Form Video Understanding
by: Wang, Yun, et al.
Published: (2025)

VideoNSA: Native Sparse Attention Scales Video Understanding
by: Song, Enxin, et al.
Published: (2025)

Video-CCAM: Enhancing Video-Language Understanding with Causal Cross-Attention Masks for Short and Long Videos
by: Fei, Jiajun, et al.
Published: (2024)

Enhancing Long Video Understanding via Hierarchical Event-Based Memory
by: Cheng, Dingxin, et al.
Published: (2024)

Video-MMLU: A Massive Multi-Discipline Lecture Understanding Benchmark
by: Song, Enxin, et al.
Published: (2025)

VideoSEAL: Mitigating Evidence Misalignment in Agentic Long Video Understanding by Decoupling Answer Authority
by: Qiu, Chenhao, et al.
Published: (2026)

FOCUS: Efficient Keyframe Selection for Long Video Understanding
by: Zhu, Zirui, et al.
Published: (2025)

Cognitive Science-Inspired Evaluation of Core Capabilities for Object Understanding in AI
by: Rutar, Danaja, et al.
Published: (2025)

MagicVideo-V2: Multi-Stage High-Aesthetic Video Generation
by: Wang, Weimin, et al.
Published: (2024)

Deep Video Discovery: Agentic Search with Tool Use for Long-form Video Understanding
by: Zhang, Xiaoyi, et al.
Published: (2025)

Neptune: The Long Orbit to Benchmarking Long Video Understanding
by: Nagrani, Arsha, et al.
Published: (2024)

Active Video Perception: Iterative Evidence Seeking for Agentic Long Video Understanding
by: Wang, Ziyang, et al.
Published: (2025)

APB-V: Accelerating Long-Video Understanding via Sequence-Parallelism-aware Approximate Attention
by: Huang, Yuxiang, et al.
Published: (2026)