Copertina

VideoITG: Multimodal Video Understanding with Instructed Temporal Grounding

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Wang, Shihao, Chen, Guo, Huang, De-an, Li, Zhiqi, Li, Minghan, Liu, Guilin, Alvarez, Jose M., Zhang, Lei, Yu, Zhiding
Natura:	Preprint
Pubblicazione:	2025
Soggetti:	Computer Vision and Pattern Recognition Artificial Intelligence
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

STORM: Token-Efficient Long Video Understanding for Multimodal LLMs
di: Jiang, Jindong, et al.
Pubblicazione: (2025)

PhyCritic: Multimodal Critic Models for Physical AI
di: Xiong, Tianyi, et al.
Pubblicazione: (2026)

LITA: Language Instructed Temporal-Localization Assistant
di: Huang, De-An, et al.
Pubblicazione: (2024)

Slow-Fast Architecture for Video Multi-Modal Large Language Models
di: Shi, Min, et al.
Pubblicazione: (2025)

FRAG: Frame Selection Augmented Generation for Long Video and Long Document Understanding
di: Huang, De-An, et al.
Pubblicazione: (2025)

Towards Multimodal Lifelong Understanding: A Dataset and Agentic Baseline
di: Chen, Guo, et al.
Pubblicazione: (2026)

StreamChat: Chatting with Streaming Video
di: Liu, Jihao, et al.
Pubblicazione: (2024)

Video Mamba Suite: State Space Model as a Versatile Alternative for Video Understanding
di: Chen, Guo, et al.
Pubblicazione: (2024)

LocateAnything: Fast and High-Quality Vision-Language Grounding with Parallel Box Decoding
di: Wang, Shihao, et al.
Pubblicazione: (2026)

What is Point Supervision Worth in Video Instance Segmentation?
di: Huang, Shuaiyi, et al.
Pubblicazione: (2024)

InternVideo2: Scaling Foundation Models for Multimodal Video Understanding
di: Wang, Yi, et al.
Pubblicazione: (2024)

Hydra-MDP: End-to-end Multimodal Planning with Multi-target Hydra-Distillation
di: Li, Zhenxin, et al.
Pubblicazione: (2024)

MUSEG: Reinforcing Video Temporal Understanding via Timestamp-Aware Multi-Segment Grounding
di: Luo, Fuwen, et al.
Pubblicazione: (2025)

EtC: Temporal Boundary Expand then Clarify for Weakly Supervised Video Grounding with Multimodal Large Language Model
di: Li, Guozhang, et al.
Pubblicazione: (2023)

VideoTemp-o3: Harmonizing Temporal Grounding and Video Understanding in Agentic Thinking-with-Videos
di: Liu, Wenqi, et al.
Pubblicazione: (2026)

VIRST: Video-Instructed Reasoning Assistant for SpatioTemporal Segmentation
di: Hong, Jihwan, et al.
Pubblicazione: (2026)

Foresee-to-Ground: From Predictive Temporal Perception to Evidence-Driven Reasoning for Video Temporal Grounding
di: Zheng, Zelin, et al.
Pubblicazione: (2026)

VTG-LLM: Integrating Timestamp Knowledge into Video LLMs for Enhanced Video Temporal Grounding
di: Guo, Yongxin, et al.
Pubblicazione: (2024)

TRACE: Temporal Grounding Video LLM via Causal Event Modeling
di: Guo, Yongxin, et al.
Pubblicazione: (2024)

A Survey on Video Temporal Grounding with Multimodal Large Language Model
di: Wu, Jianlong, et al.
Pubblicazione: (2025)

Enrich and Detect: Video Temporal Grounding with Multimodal LLMs
di: Pramanick, Shraman, et al.
Pubblicazione: (2025)

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

Argus: Vision-Centric Reasoning with Grounded Chain-of-Thought
di: Man, Yunze, et al.
Pubblicazione: (2025)

When and What: Diffusion-Grounded VideoLLM with Entity Aware Segmentation for Long Video Understanding
di: Fang, Pengcheng, et al.
Pubblicazione: (2025)

UniVS: Unified and Universal Video Segmentation with Prompts as Queries
di: Li, Minghan, et al.
Pubblicazione: (2024)

LEMON: How Well Do MLLMs Perform Temporal Multimodal Understanding on Instructional Videos?
di: Yu, Zhuang, et al.
Pubblicazione: (2026)

VideoExpert: Augmented LLM for Temporal-Sensitive Video Understanding
di: Zhao, Henghao, et al.
Pubblicazione: (2025)

EvoGround: Self-Evolving Video Agents for Video Temporal Grounding
di: Jung, Minjoon, et al.
Pubblicazione: (2026)

T2SGrid: Temporal-to-Spatial Gridification for Video Temporal Grounding
di: Guo, Chaohong, et al.
Pubblicazione: (2026)

Video-OPD: Efficient Post-Training of Multimodal Large Language Models for Temporal Video Grounding via On-Policy Distillation
di: Li, Jiaze, et al.
Pubblicazione: (2026)

VidHalluc: Evaluating Temporal Hallucinations in Multimodal Large Language Models for Video Understanding
di: Li, Chaoyu, et al.
Pubblicazione: (2024)

TimeExpert: An Expert-Guided Video LLM for Video Temporal Grounding
di: Yang, Zuhao, et al.
Pubblicazione: (2025)

Pixel-SAIL: Single Transformer For Pixel-Grounded Understanding
di: Zhang, Tao, et al.
Pubblicazione: (2025)

Context-Guided Spatio-Temporal Video Grounding
di: Gu, Xin, et al.
Pubblicazione: (2024)

$R^2$-Tuning: Efficient Image-to-Video Transfer Learning for Video Temporal Grounding
di: Liu, Ye, et al.
Pubblicazione: (2024)

SurgViVQA: Temporally-Grounded Video Question Answering for Surgical Scene Understanding
di: Drago, Mauro Orazio, et al.
Pubblicazione: (2025)

VideoAgent: A Memory-augmented Multimodal Agent for Video Understanding
di: Fan, Yue, et al.
Pubblicazione: (2024)

Beyond Raw Videos: Understanding Edited Videos with Large Multimodal Model
di: Xu, Lu, et al.
Pubblicazione: (2024)

Unified Static and Dynamic Network: Efficient Temporal Filtering for Video Grounding
di: Hu, Jingjing, et al.
Pubblicazione: (2024)

Video-GroundingDINO: Towards Open-Vocabulary Spatio-Temporal Video Grounding
di: Wasim, Syed Talal, et al.
Pubblicazione: (2023)