Cover Image

IQViC: In-context, Question Adaptive Vision Compressor for Long-term Video Understanding LMMs

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Yamao, Sosuke, Miyahara, Natsuki, Harazono, Yuki, Takeuchi, Shun
Format:	Preprint
Published:	2024
Subjects:	Computer Vision and Pattern Recognition
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Question-guided Visual Compression with Memory Feedback for Long-Term Video Understanding
by: Yamao, Sosuke, et al.
Published: (2026)

Small Vision-Language Models are Smart Compressors for Long Video Understanding
by: Fei, Junjie, et al.
Published: (2026)

Q-Bench-Video: Benchmarking the Video Quality Understanding of LMMs
by: Zhang, Zicheng, et al.
Published: (2024)

LMMs Meet Object-Centric Vision: Understanding, Segmentation, Editing and Generation
by: Yuan, Yuqian, et al.
Published: (2026)

TinyLLaVA-Video: Towards Smaller LMMs for Video Understanding with Group Resampler
by: Zhang, Xingjian, et al.
Published: (2025)

YOWO: You Only Walk Once to Jointly Map An Indoor Scene and Register Ceiling-mounted Cameras
by: Yang, Fan, et al.
Published: (2025)

Enhancing Multi-Camera Gymnast Tracking Through Domain Knowledge Integration
by: Yang, Fan, et al.
Published: (2025)

Exploring Multimodal LMMs for Online Episodic Memory Question Answering on the Edge
by: Lando, Giuseppe, et al.
Published: (2026)

Hallucination Mitigation Prompts Long-term Video Understanding
by: Sun, Yiwei, et al.
Published: (2024)

CrossLMM: Decoupling Long Video Sequences from LMMs via Dual Cross-Attention Mechanisms
by: Yan, Shilin, et al.
Published: (2025)

MedHorizon: Towards Long-context Medical Video Understanding in the Wild
by: Du, Bodong, et al.
Published: (2026)

VideoPro: Adaptive Program Reasoning for Long Video Understanding
by: Li, Chenglin, et al.
Published: (2025)

VANE-Bench: Video Anomaly Evaluation Benchmark for Conversational LMMs
by: Bharadwaj, Rohit, et al.
Published: (2024)

Goldfish: Vision-Language Understanding of Arbitrarily Long Videos
by: Ataallah, Kirolos, et al.
Published: (2024)

LongVU: Spatiotemporal Adaptive Compression for Long Video-Language Understanding
by: Shen, Xiaoqian, et al.
Published: (2024)

TinyLLaVA-Video-R1: Towards Smaller LMMs for Video Reasoning
by: Zhang, Xingjian, et al.
Published: (2025)

CG-Bench: Clue-grounded Question Answering Benchmark for Long Video Understanding
by: Chen, Guo, et al.
Published: (2024)

Streaming Video Question-Answering with In-context Video KV-Cache Retrieval
by: Di, Shangzhe, et al.
Published: (2025)

How Good is my Video LMM? Complex Video Reasoning and Robustness Evaluation Suite for Video-LMMs
by: Khattak, Muhammad Uzair, et al.
Published: (2024)

LongVideoBench: A Benchmark for Long-context Interleaved Video-Language Understanding
by: Wu, Haoning, et al.
Published: (2024)

AdaSpark: Adaptive Sparsity for Efficient Long-Video Understanding
by: Li, Handong, et al.
Published: (2026)

Holmes-VAU: Towards Long-term Video Anomaly Understanding at Any Granularity
by: Zhang, Huaxin, et al.
Published: (2024)

TDVE-Assessor: Benchmarking and Evaluating the Quality of Text-Driven Video Editing with LMMs
by: Wang, Juntong, et al.
Published: (2025)

Video-XL: Extra-Long Vision Language Model for Hour-Scale Video Understanding
by: Shu, Yan, et al.
Published: (2024)

VideoMem: Enhancing Ultra-Long Video Understanding via Adaptive Memory Management
by: Jin, Hongbo, et al.
Published: (2025)

LLaFEA: Frame-Event Complementary Fusion for Fine-Grained Spatiotemporal Understanding in LMMs
by: Zhou, Hanyu, et al.
Published: (2025)

Parallel Vision Token Scheduling for Fast and Accurate Multimodal LMMs Inference
by: Zhan, Wengyi, et al.
Published: (2025)

AVFakeBench: A Comprehensive Audio-Video Forgery Detection Benchmark for AV-LMMs
by: Xia, Shuhan, et al.
Published: (2025)

AdaVideoRAG: Omni-Contextual Adaptive Retrieval-Augmented Efficient Long Video Understanding
by: Xue, Zhucun, et al.
Published: (2025)

LvBench: A Benchmark for Long-form Video Understanding with Versatile Multi-modal Question Answering
by: Zhang, Hongjie, et al.
Published: (2023)

Grounded Question-Answering in Long Egocentric Videos
by: Di, Shangzhe, et al.
Published: (2023)

Video Active Perception: Effective Inference-Time Long-Form Video Understanding with Vision-Language Models
by: Ma, Martin Q., et al.
Published: (2026)

LLaVA-4D: Embedding SpatioTemporal Prompt into LMMs for 4D Scene Understanding
by: Zhou, Hanyu, et al.
Published: (2025)

Teaching LMMs for Image Quality Scoring and Interpreting
by: Zhang, Zicheng, et al.
Published: (2025)

Self-ReS: Self-Reflection in Large Vision-Language Models for Long Video Understanding
by: Pereira, Joao, et al.
Published: (2025)

Seeing More, Saying More: Lightweight Language Experts are Dynamic Video Token Compressors
by: Wang, Xiangchen, et al.
Published: (2025)

MovieChat+: Question-aware Sparse Memory for Long Video Question Answering
by: Song, Enxin, et al.
Published: (2024)

APVR: Hour-Level Long Video Understanding with Adaptive Pivot Visual Information Retrieval
by: Gao, Hong, et al.
Published: (2025)

VRU-Accident: A Vision-Language Benchmark for Video Question Answering and Dense Captioning for Accident Scene Understanding
by: Kim, Younggun, et al.
Published: (2025)

VideoDistill: Language-aware Vision Distillation for Video Question Answering
by: Zou, Bo, et al.
Published: (2024)