{"total":15,"rows":[{"id":"2403.11481","title":"VideoAgent: A Memory-augmented Multimodal Agent for Video Understanding","created":"2024-03-18","cited_by_count":229,"area":"mllm"},{"id":"2501.04336","title":"Building a Mind Palace: Structuring Environment-Grounded Semantic Graphs for Effective Long Video Analysis with LLMs","created":"2025-01-08","cited_by_count":19,"area":"mllm"},{"id":"2512.22519","title":"Clutter-Robust Vision-Language-Action Models through Object-Centric and Geometry Grounding","created":"2025-12-27","cited_by_count":10,"area":"mllm"},{"id":"2509.15178","title":"Unleashing the Potential of Multimodal LLMs for Zero-Shot Spatio-Temporal Video Grounding","created":"2025-09-18","cited_by_count":9,"area":"mllm"},{"id":"2510.14896","title":"Leveraging Multimodal LLM Descriptions of Activity for Explainable Semi-Supervised Video Anomaly Detection","created":"2025-10-16","cited_by_count":4,"area":"mllm"},{"id":"2506.15645","title":"Demystifying the Visual Quality Paradox in Multimodal Large Language Models","created":"2025-06-18","cited_by_count":3,"area":"mllm"},{"id":"2511.17053","title":"OmniPT: Unleashing the Potential of Large Vision Language Models for Pedestrian Tracking and Understanding","created":"2025-11-21","cited_by_count":1,"area":"mllm"},{"id":"2604.20460","title":"CCTVBench: Contrastive Consistency Traffic VideoQA Benchmark for Multimodal LLMs","created":"2026-04-22","cited_by_count":1,"area":"mllm"},{"id":"2503.19850","title":"FALCONEye: Finding Answers and Localizing Content in ONE-hour-long videos with multi-modal LLMs","created":"2025-03-25","cited_by_count":0,"area":"mllm"},{"id":"2504.05141","title":"EffOWT: Transfer Visual Language Models to Open-World Tracking Efficiently and Effectively","created":"2025-04-07","cited_by_count":0,"area":"mllm"},{"id":"2506.07850","title":"SAM2Auto: Auto Annotation Using FLASH","created":"2025-06-09","cited_by_count":0,"area":"mllm"},{"id":"2509.14060","title":"VSE-MOT: Multi-Object Tracking in Low-Quality Video Scenes Guided by Visual Semantic Enhancement","created":"2025-09-17","cited_by_count":0,"area":"mllm"},{"id":"2603.27690","title":"Customized Visual Storytelling with Unified Multimodal LLMs","created":"2026-03-29","cited_by_count":0,"area":"mllm"},{"id":"2604.14074","title":"Training-Free Semantic Multi-Object Tracking with Vision-Language Models","created":"2026-04-15","cited_by_count":0,"area":"mllm"},{"id":"2609.05239","title":"Cross-Domain Tracker Adaptation Without Target-Domain Labels via Vision-Language Agents","created":"2026-09-04","cited_by_count":0,"area":"mllm"}],"next_cursor":null}