{"total":36,"rows":[{"id":"2501.13106","title":"VideoLLaMA 3: Frontier Multimodal Foundation Models for Image and Video Understanding","created":"2025-01-22","cited_by_count":518,"area":null},{"id":"2409.12961","title":"Oryx MLLM: On-Demand Spatial-Temporal Understanding at Arbitrary Resolution","created":"2024-09-19","cited_by_count":159,"area":null},{"id":"2501.03218","title":"Dispider: Enabling Video LLMs with Active Real-Time Interaction via Disentangled Perception, Decision, and Reaction","created":"2025-01-06","cited_by_count":127,"area":null},{"id":"2503.03803","title":"EgoLife: Towards Egocentric Life Assistant","created":"2025-03-05","cited_by_count":91,"area":null},{"id":"2505.05467","title":"StreamBridge: Turning Your Offline Video Large Language Model into a Proactive Streaming Assistant","created":"2025-05-08","cited_by_count":63,"area":null},{"id":"2505.20256","title":"Omni-R1: Reinforcement Learning for Omnimodal Reasoning via Two-System Collaboration","created":"2025-05-26","cited_by_count":41,"area":null},{"id":"2503.18943","title":"SlowFast-LLaVA-1.5: A Family of Token-Efficient Video Large Language Models for Long-Form Video Understanding","created":"2025-03-24","cited_by_count":30,"area":null},{"id":"2503.09590","title":"BIMBA: Selective-Scan Compression for Long-Range Video Question Answering","created":"2025-03-12","cited_by_count":24,"area":null},{"id":"2412.05185","title":"LinVT: Empower Your Image-level Large Language Model to Understand Videos","created":"2024-12-06","cited_by_count":19,"area":null},{"id":"2506.00993","title":"FlexSelect: Flexible Token Selection for Efficient Long Video Understanding","created":"2025-06-01","cited_by_count":18,"area":null},{"id":"2510.06077","title":"When Thinking Drifts: Evidential Grounding for Robust Video Reasoning","created":"2025-10-07","cited_by_count":16,"area":null},{"id":"2501.19098","title":"$\\infty$-Video: A Training-Free Approach to Long Video Understanding via Continuous-Time Memory Consolidation","created":"2025-01-31","cited_by_count":14,"area":null},{"id":"2602.15329","title":"EventMemAgent: Hierarchical Event-Centric Memory for Online Video Understanding with Adaptive Tool Use","created":"2026-02-17","cited_by_count":12,"area":null},{"id":"2602.13191","title":"CoPE-VideoLM: Leveraging Codec Primitives For Efficient Video Language Modeling","created":"2026-02-13","cited_by_count":11,"area":null},{"id":"2508.11576","title":"Causality Matters: How Temporal Information Emerges in Video Language Models","created":"2025-08-15","cited_by_count":10,"area":null},{"id":"2505.20124","title":"TUNA: Comprehensive Fine-grained Temporal Understanding Evaluation on Dense Dynamic Videos","created":"2025-05-26","cited_by_count":9,"area":null},{"id":"2510.05836","title":"Flow4Agent: Long-form Video Understanding via Motion Prior from Optical Flow","created":"2025-10-07","cited_by_count":9,"area":null},{"id":"2503.10719","title":"Long-Video Audio Synthesis with Multi-Agent Collaboration","created":"2025-03-13","cited_by_count":8,"area":null},{"id":"2412.17637","title":"SCBench: A Sports Commentary Benchmark for Video LLMs","created":"2024-12-23","cited_by_count":7,"area":null},{"id":"2603.19054","title":"Em-Garde: A Propose-Match Framework for Proactive Streaming Video Understanding","created":"2026-03-19","cited_by_count":7,"area":null},{"id":"2504.06835","title":"LVC: A Lightweight Compression Framework for Enhancing VLMs in Long Video Understanding","created":"2025-04-09","cited_by_count":6,"area":null},{"id":"2504.20384","title":"FiLA-Video: Spatio-Temporal Compression for Fine-Grained Long Video Understanding","created":"2025-04-29","cited_by_count":6,"area":null},{"id":"2508.19650","title":"Video-LevelGauge: Investigating Contextual Positional Bias in Large Video Language Models","created":"2025-08-27","cited_by_count":6,"area":null},{"id":"2604.18459","title":"Progressive Online Video Understanding with Evidence-Aligned Timing and Transparent Decisions","created":"2026-04-20","cited_by_count":5,"area":null},{"id":"2605.25621","title":"StreamOV: Streaming Omni-Video Understanding via Evidence-Guided Memory and Response Triggering","created":"2026-05-25","cited_by_count":5,"area":null},{"id":"2508.15360","title":"An Empirical Study on How Video-LLMs Answer Video Questions","created":"2025-08-21","cited_by_count":4,"area":null},{"id":"2606.19341","title":"Native Active Perception as Reasoning for Omni-Modal Understanding","created":"2026-06-17","cited_by_count":4,"area":null},{"id":"2510.04022","title":"Video-in-the-Loop: Span-Grounded Long Video QA with Interleaved Reasoning","created":"2025-10-05","cited_by_count":3,"area":null},{"id":"2605.07575","title":"Response-G1: Explicit Scene Graph Modeling for Proactive Streaming Video Understanding","created":"2026-05-08","cited_by_count":2,"area":null},{"id":"2608.20958","title":"TLive-Omni: An Omni-Modal Understanding Model for E-Commerce Live Streaming","created":"2026-08-21","cited_by_count":2,"area":null},{"id":"2504.21403","title":"Static or Dynamic: Towards Query-Adaptive Token Selection for Video Question Answering","created":"2025-04-30","cited_by_count":1,"area":null},{"id":"2512.11534","title":"HFS: Holistic Query-Aware Frame Selection for Efficient Video Understanding","created":"2025-12-12","cited_by_count":1,"area":null},{"id":"2507.19821","title":"LAVA: Language Driven Scalable and Versatile Traffic Video Analytics","created":"2025-07-26","cited_by_count":0,"area":null},{"id":"2603.22466","title":"Color When It Counts: Grayscale-Guided Online Triggering for Always-On Streaming Video Sensing","created":"2026-03-23","cited_by_count":0,"area":null},{"id":"2608.25729","title":"LongVU-TTT: Causal Test-Time Training for Visual Resampling in Long Video Understanding","created":"2026-08-26","cited_by_count":0,"area":null},{"id":"2609.19793","title":"AI Smart Glasses for Wearable Intelligence: From Egocentric Sensing to Agentic Personalization","created":"2026-09-17","cited_by_count":0,"area":null}],"next_cursor":null}