video-language model

Dispider: Enabling Video LLMs with Active Real-Time Interaction via Disentangled Perception, Decision, and Reaction CVPR 2025 DisTime: Distribution-based Time Representation for Video Large Language Models ICCV 2025 DToMA: Training-free Dynamic Token MAnipulation for Long Video Understanding IJCAI 2025 Dynamic-VLM: Simple Dynamic Visual Token Compression for VideoLLM ICCV 2025 Efficient Motion-Aware Video MLLM CVPR 2025 Efficient Transfer Learning for Video-language Foundation Models CVPR 2025 Ego-VPA: Egocentric Video Understanding with Parameter-Efficient Adaptation WACV 2025 Error Recognition in Procedural Videos using Generalized Task Graph ICCV 2025 Factorized Learning for Temporally Grounded Video-Language Models ICCV 2025 Flexible Frame Selection for Efficient Video Reasoning CVPR 2025 Hallucination Reduction in Video-Language Models via Hierarchical Multimodal Consistency IJCAI 2025 Identity-Text Video Corpus Grounding AAAI 2025 Inference Compute-Optimal Video Vision Language Models ACL 2025 Is Your Video Language Model a Reliable Judge? ICLR 2025 LION-FS: Fast & Slow Video-Language Thinker as Online Video Assistant CVPR 2025 LiveCC: Learning Video LLM with Streaming Speech Transcription at Scale CVPR 2025 LongVALE: Vision-Audio-Language-Event Benchmark Towards Time-Aware Omni-Modal Perception of Long Videos CVPR 2025 On the Consistency of Video Large Language Models in Temporal Comprehension CVPR 2025 OVO-Bench: How Far is Your Video-LLMs from Real-World Online Video Understanding? CVPR 2025 PVChat: Personalized Video Chat with One-Shot Learning ICCV 2025 Q-Frame: Query-aware Frame Selection and Multi-Resolution Adaptation for Video-LLMs ICCV 2025 RoadSocial: A Diverse VideoQA Dataset and Benchmark for Road Event Understanding from Social Video Narratives CVPR 2025 Seeing More, Saying More: Lightweight Language Experts are Dynamic Video Token Compressors EMNLP 2025 Seq2Time: Sequential Knowledge Transfer for Video LLM Temporal Grounding CVPR 2025 SF2T: Self-supervised Fragment Finetuning of Video-LLMs for Fine-Grained Understanding CVPR 2025